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 <channel rdf:about="http://ebiquity.umbc.edu/tag/social media/">
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  <image rdf:resource="http://ebiquity.umbc.edu/img/logo.jpg" />  <title><![CDATA[RSS Tag Search]]></title>
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    <rdf:li resource="http://ebiquity.umbc.edu/research/area/id/27/Social-media"/>
    <rdf:li resource="http://ebiquity.umbc.edu/project/html/id/81/Twitterment"/>
    <rdf:li resource="http://ebiquity.umbc.edu/project/html/id/54/Velador-Engine"/>
    <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/548/Content-based-prediction-of-temporal-boundaries-for-events-in-Twitter"/>
    <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/521/Integrating-Linked-Open-Data-with-Unstructured-Text-for-Intelligence-Gathering-Tasks"/>
    <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/506/Computing-FOAF-Co-reference-Relations-with-Rules-and-Machine-Learning"/>
    <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/499/Improving-Accuracy-of-Named-Entity-Recognition-on-Social-Media-Data"/>
    <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/493/A-Policy-Based-Infrastructure-for-Social-Data-Access-with-Privacy-Guarantees"/>
    <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/476/Annotating-named-entities-in-Twitter-data-with-crowdsourcing"/>
    <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/496/The-Geolocation-of-Web-Logs-from-Textual-Clues"/>
    <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/451/The-ICWSM-2009-Spinn3r-Dataset"/>
    <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/426/Geolocating-Blogs-From-Their-Textual-Content"/>
    <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/429/Mining-Social-Media-Communities-and-Content"/>
    <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/371/The-Information-ecology-of-social-media-and-online-communities"/>
    <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/406/Detecting-Commmunities-via-Simultaneous-Clustering-of-Graphs-and-Folksonomies"/>
    <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/413/Blog-Link-Classification"/>
    <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/373/Detecting-Spam-Blogs-An-Adaptive-Online-Approach"/>
    <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/374/Web-2-0-Mining-Analyzing-Social-Media"/>
    <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/367/Why-We-Twitter-Understanding-Microblogging-Usage-and-Communities"/>
    <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/365/Adding-Semantics-to-Social-Websites-for-Citizen-Science"/>
    <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/370/On-Modeling-Trust-in-Social-Media-using-Link-Polarity"/>
    <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/342/Towards-Spam-Detection-at-Ping-Servers"/>
    <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/326/BlogVox-Separating-Blog-Wheat-from-Blog-Chaff"/>
    <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/318/Blog-Track-Open-Task-Spam-Blog-Classification"/>
    <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/296/Detecting-Spam-Blogs-A-Machine-Learning-Approach"/>
    <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/299/Characterizing-the-Splogosphere"/>
    <rdf:li resource="http://ebiquity.umbc.edu/resource/html/id/298/Coarse-and-Fine-Grained-Sentiment-Analysis-of-Online-Text"/>
    <rdf:li resource="http://ebiquity.umbc.edu/resource/html/id/274/Constraining-Information-Flow-in-Social-Networks-with-Privacy-Policies"/>
    <rdf:li resource="http://ebiquity.umbc.edu/resource/html/id/225/Finding-knowledge-data-and-answers-on-the-Semantic-Web"/>
    <rdf:li resource="http://ebiquity.umbc.edu/resource/html/id/234/ICWSM-2008-Poster"/>
    <rdf:li resource="http://ebiquity.umbc.edu/resource/html/id/309/Negotiating-Privacy-Boundaries-and-Visibility-in-a-Networked-World-Why-We-Need-to-Move-Beyond-Opt-in-vs-Opt-Out"/>
    <rdf:li resource="http://ebiquity.umbc.edu/resource/html/id/249/Planet-Social-Media-Research-Pamphlet"/>
    <rdf:li resource="http://ebiquity.umbc.edu/resource/html/id/241/spam-in-blogs-and-social-media"/>
    <rdf:li resource="http://ebiquity.umbc.edu/resource/html/id/299/The-Social-Semantic-Web"/>
    <rdf:li resource="http://ebiquity.umbc.edu/resource/html/id/279/Trust-Influence-and-Bias-in-Social-Media"/>
    <rdf:li resource="http://ebiquity.umbc.edu/resource/html/id/244/Wikipedia-as-an-ontology"/>
    <rdf:li resource="http://ebiquity.umbc.edu/event/html/id/377/Negotiating-Privacy-Boundaries-and-Visibility-in-a-Networked-World-Why-We-Need-to-Move-Beyond-Opt-in-vs-Opt-Out"/>
    <rdf:li resource="http://ebiquity.umbc.edu/event/html/id/372/Social-media-analytics"/>
    <rdf:li resource="http://ebiquity.umbc.edu/event/html/id/366/Group-Centric-Information-Sharing-Model-for-Social-Networks"/>
    <rdf:li resource="http://ebiquity.umbc.edu/event/html/id/355/Clustering-short-status-messages-a-topic-model-based-approach"/>
    <rdf:li resource="http://ebiquity.umbc.edu/event/html/id/348/The-Social-Semantic-Web"/>
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    <rdf:li resource="http://ebiquity.umbc.edu/event/html/id/337/Collecting-user-annotations-using-Amazon-Mechanical-Turk-and-CrowdFlower"/>
    <rdf:li resource="http://ebiquity.umbc.edu/event/html/id/311/Understanding-RSM-Relief-Social-Media"/>
    <rdf:li resource="http://ebiquity.umbc.edu/event/html/id/305/Constraining-Information-Flow-in-Social-Networks-with-Privacy-Policies"/>
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    <rdf:li resource="http://ebiquity.umbc.edu/event/html/id/251/Communities-in-Social-Media-Reflections-on-Semantics-Intention-and-Influence-"/>
    <rdf:li resource="http://ebiquity.umbc.edu/event/html/id/247/Communities-in-Social-Media-An-Eyepiece-into-Context-User-Intention-and-Influence"/>
    <rdf:li resource="http://ebiquity.umbc.edu/event/html/id/245/A-Different-Kind-of-Social-Physics-Online-Communities-and-the-Revolution-in-the-Architecture-of-Our-Social-Spaces"/>
    <rdf:li resource="http://ebiquity.umbc.edu/event/html/id/222/Gnizr-an-open-source-social-bookmarking-application"/>
    <rdf:li resource="http://ebiquity.umbc.edu/event/html/id/221/Wikipedia-as-an-ontology-for-describing-documents"/>
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    <rdf:li resource="http://ebiquity.umbc.edu/event/html/id/213/Detecting-spam-blogs-beta-"/>
    <rdf:li resource="http://ebiquity.umbc.edu/event/html/id/203/Modeling-Trust-and-Influence-on-Blogosphere-using-Link-Polarity"/>
    <rdf:li resource="http://ebiquity.umbc.edu/event/html/id/191/Modeling-Trust-and-Influence-in-the-Blogosphere-Using-Link-Polarity"/>
    <rdf:li resource="http://ebiquity.umbc.edu/event/html/id/187/Tracking-influence-and-opinions-in-social-media"/>
    <rdf:li resource="http://ebiquity.umbc.edu/event/html/id/185/The-Science-of-Interaction-A-New-NSF-Initiative"/>
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 <image rdf:about="http://ebiquity.umbc.edu/img/logo.jpg">
  <title>UMBC ebiquity research group</title>
  <link>http://ebiquity.umbc.edu</link>
  <url>http://ebiquity.umbc.edu/img/logo.jpg</url>
 </image>
 <item rdf:about="http://ebiquity.umbc.edu/research/area/id/27/Social-media">
  <title><![CDATA[Social media]]></title>
  <link>http://ebiquity.umbc.edu/research/area/id/27/Social-media</link>
  <description><![CDATA["Social media describes the online technologies and practices that people use to share opinions, insights, experiences, and perspectives. Social media can take many different forms, including text, images, audio, and video. These sites typically use technologies such as blogs, message boards, podcasts, wikis, and vlogs to allow users to interact." (Wikipedia)

The UMBC ebqiuty group as a number of project that involve one or more aspects of social media, inlcuing online games, weblog spam d...]]></description>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/project/html/id/81/Twitterment">
  <title><![CDATA[Twitterment]]></title>
  <link>http://ebiquity.umbc.edu/project/html/id/81/Twitterment</link>
  <description><![CDATA[Twitterment is a search engine for the Twitter microblogging system.]]></description>
  <dc:date>2007-03-01</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/project/html/id/54/Velador-Engine">
  <title><![CDATA[Velador Engine]]></title>
  <link>http://ebiquity.umbc.edu/project/html/id/54/Velador-Engine</link>
  <description><![CDATA[The Velador Engine is a new MUD engine backed by a relational database.]]></description>
  <dc:date>2004-01-01</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/548/Content-based-prediction-of-temporal-boundaries-for-events-in-Twitter">
  <title><![CDATA[Content-based prediction of temporal boundaries for events in Twitter]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/548/Content-based-prediction-of-temporal-boundaries-for-events-in-Twitter</link>
  <description><![CDATA[Social media services like Twitter, Flickr and YouTube publish high volumes of user generated content as a major event occurs, making them a potential data source for event analysis. The large volume and noisy content of social media makes automatic preprocessing essential. Intuitively, the eventrelated data falls into three major phases: the buildup to the event, the event itself, and the post-event effects and repercussions.  We describe an approach to automatically determine when an antici...]]></description>
  <dc:date>2011-10-09</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/521/Integrating-Linked-Open-Data-with-Unstructured-Text-for-Intelligence-Gathering-Tasks">
  <title><![CDATA[Integrating Linked Open Data with Unstructured Text for Intelligence Gathering Tasks]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/521/Integrating-Linked-Open-Data-with-Unstructured-Text-for-Intelligence-Gathering-Tasks</link>
  <description><![CDATA[We present techniques for uncovering links between terror
incidents, organizations, and people involved with these incidents.
Our methods involve performing shallow NLP tasks
to extract entities of interest from documents and using linguistic
pattern matching and filtering techniques to assign
specific relations to the entities discovered. We also gather
more information about these entities from the Linked Open
Data Cloud, and further allow human analysts to add intelligent
inference...]]></description>
  <dc:date>2011-03-28</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/506/Computing-FOAF-Co-reference-Relations-with-Rules-and-Machine-Learning">
  <title><![CDATA[Computing FOAF Co-reference Relations with Rules and Machine Learning]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/506/Computing-FOAF-Co-reference-Relations-with-Rules-and-Machine-Learning</link>
  <description><![CDATA[The friend of a friend (FOAF) vocabulary is widely used on the Web to describe ’agents’ (people, groups and organizations) and their properties. Since FOAF does not require unique ID for agents, it is not clear when two FOAF instances should be linked as co-referent, i.e., denote the entity in the world. One approach is to use logical constraints such as the presence of inverse functional properties as evidence that two individuals are the same. Another applies heuristics based on the str...]]></description>
  <dc:date>2010-11-01</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/499/Improving-Accuracy-of-Named-Entity-Recognition-on-Social-Media-Data">
  <title><![CDATA[Improving Accuracy of Named Entity Recognition on Social Media Data]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/499/Improving-Accuracy-of-Named-Entity-Recognition-on-Social-Media-Data</link>
  <description><![CDATA[In recent years, social media outlets such as Twitter and Facebook have drawn attention from companies and researchers interested in detecting trends. The informal nature of status updates from these services leads to a higher volume of updates, because each update takes little care to generate, but each update is usually short and noisy (misspellings, lack of punctuation, non-standard abbreviations and capitalization). These shortcomings cause traditional Natural Language Processing (NLP) te...]]></description>
  <dc:date>2010-08-01</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/493/A-Policy-Based-Infrastructure-for-Social-Data-Access-with-Privacy-Guarantees">
  <title><![CDATA[A Policy Based Infrastructure for Social Data Access with Privacy Guarantees]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/493/A-Policy-Based-Infrastructure-for-Social-Data-Access-with-Privacy-Guarantees</link>
  <description><![CDATA[In this paper, we present a policy based infrastructure for social data access with the goal of enabling scientific research, while preservingprivacy. We describe motivating application scenarios that could be enabled with the growing number of user datasets such as social networks, medical datasets etc. These datasets contain sensitive user information and sufficient caution must be exercised while sharing them with third parties to prevent privacy leaks. One of the goals of our framework is...]]></description>
  <dc:date>2010-07-21</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/476/Annotating-named-entities-in-Twitter-data-with-crowdsourcing">
  <title><![CDATA[Annotating named entities in Twitter data with crowdsourcing]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/476/Annotating-named-entities-in-Twitter-data-with-crowdsourcing</link>
  <description><![CDATA[We describe our experience using both Amazon Mechanical Turk (MTurk) and Crowd Flower to collect simple named entity annotations for Twitter status updates. Unlike most genres that have traditionally been the focus of named entity experiments, Twitter is far more informal and abbreviated. The collected annotations and annotation techniques will provide a first step towards the full study of named entity recognition in domains like Facebook and Twitter. We also briefly describe how to use MTur...]]></description>
  <dc:date>2010-06-06</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/496/The-Geolocation-of-Web-Logs-from-Textual-Clues">
  <title><![CDATA[The Geolocation of Web Logs from Textual Clues]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/496/The-Geolocation-of-Web-Logs-from-Textual-Clues</link>
  <description><![CDATA[Understanding the spatial distribution of people who author social media content is of growing interest for researchers and commerce. Blogging platforms depend on authors reporting their own location. However, not all authors report or reveal their location on their blog’s home page. Automated geolocation strategies using IP address and domain name are not adequate for determining an author’s location because most blogs are not self-hosted. In this paper we describe a method that uses the...]]></description>
  <dc:date>2009-08-29</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/451/The-ICWSM-2009-Spinn3r-Dataset">
  <title><![CDATA[The ICWSM 2009 Spinn3r Dataset]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/451/The-ICWSM-2009-Spinn3r-Dataset</link>
  <description><![CDATA[The dataset, provided by Spinn3r.com, is a set of 44 million blog posts made between August 1st and October 1st, 2008. The post includes the text as syndicated, as well as metadata such as the blog's homepage, timestamps, etc. The data is formatted in XML and is further arranged into tiers approximating to some degree search engine ranking. The total size of the dataset is 142 GB uncompressed, (27 GB compressed). 
This dataset spans a number of big news events (the Olympics; both US presiden...]]></description>
  <dc:date>2009-05-17</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/426/Geolocating-Blogs-From-Their-Textual-Content">
  <title><![CDATA[Geolocating Blogs From Their Textual Content]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/426/Geolocating-Blogs-From-Their-Textual-Content</link>
  <description><![CDATA[Mashups showing the geographic location of the authors of social media content are popular. They generally depend on the authors reporting their own location. For blogs, auto-mated geolocation strategies using IP address and domain name are not adequate for determining an author’s location. Instead, we detail textual geolocation techniques suitable for tagging social media data, facilitating development of geo-graphic mashups and spatial reasoning tools.]]></description>
  <dc:date>2009-03-23</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/429/Mining-Social-Media-Communities-and-Content">
  <title><![CDATA[Mining Social Media Communities and Content]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/429/Mining-Social-Media-Communities-and-Content</link>
  <description><![CDATA[Social Media is changing the way people find information, share
knowledge and communicate with each other. The important factor
contributing to the growth of these technologies is the ability to
easily produce “user-generated content”. Blogs, Twitter, Wikipedia,
Flickr and YouTube are just a few examples of Web 2.0 tools that are
drastically changing the Internet landscape today. These platforms
allow users to produce and annotate content and more importantly,
empower them to share...]]></description>
  <dc:date>2008-12-01</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/371/The-Information-ecology-of-social-media-and-online-communities">
  <title><![CDATA[The Information ecology of social media and online communities]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/371/The-Information-ecology-of-social-media-and-online-communities</link>
  <description><![CDATA[Social media systems such as weblogs, photo- and link-sharing sites, wikis and on-line forums are currently thought to produce up to one third of new Web content.  One thing that sets these ``Web 2.0'' sites apart from traditional Web pages and resources is that they are intertwined with other forms of networked data.  Their standard hyperlinks are enriched by social networks, comments, trackbacks, advertisements, tags, RDF data and metadata.  We describe recent work on building systems that ...]]></description>
  <dc:date>2008-09-01</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/406/Detecting-Commmunities-via-Simultaneous-Clustering-of-Graphs-and-Folksonomies">
  <title><![CDATA[Detecting Commmunities via Simultaneous Clustering of Graphs and Folksonomies]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/406/Detecting-Commmunities-via-Simultaneous-Clustering-of-Graphs-and-Folksonomies</link>
  <description><![CDATA[We present a simple technique for detecting communities by utilizing both the link structure and folksonomy (or tag) information that is readily available in most social media systems. A simple way to describe our approach is by defining a community as a set of nodes in a graph that link more frequently to within this set than outside it and they share similar tags. Our technique is based on the Normalized Cut (NCut) algorithm and can be easily and efficiently implemented. We validate our met...]]></description>
  <dc:date>2008-08-24</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/413/Blog-Link-Classification">
  <title><![CDATA[Blog Link Classification]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/413/Blog-Link-Classification</link>
  <description><![CDATA[Blog links raise three key questions: Why did the author make the
link, what exactly is he pointing at, and what does he feel about it?
In response to these questions we introduce a link model with three
fundamental descriptive dimensions where each dimension is designed
to answer one question. We believe the answers to these questions can
be utilized to improve search engine results for blogs. While proving
this is outside the scope of this paper, we do prove that knowing the
rhetoric...]]></description>
  <dc:date>2008-03-31</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/373/Detecting-Spam-Blogs-An-Adaptive-Online-Approach">
  <title><![CDATA[Detecting Spam Blogs: An Adaptive Online Approach]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/373/Detecting-Spam-Blogs-An-Adaptive-Online-Approach</link>
  <description><![CDATA[Weblogs, or blogs, are an important new way to publish information, engage in discussions, and form communities on the Internet. Blogs are a global phenomenon, and with numbers well over 100 million they form the core of the emerging paradigm of Social Media. While the utility of blogs is unquestionable, a serious problem now afflicts them, that of spam. Spam blogs, or splogs are blogs with auto-generated or plagiarized content with the sole purpose of hosting profitable contextual ads and/or...]]></description>
  <dc:date>2007-12-10</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/374/Web-2-0-Mining-Analyzing-Social-Media">
  <title><![CDATA[Web 2.0 Mining: Analyzing Social Media]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/374/Web-2-0-Mining-Analyzing-Social-Media</link>
  <description><![CDATA[Social media systems such as blogs, photo and link
sharing sites, wikis and on-line forums are estimated
to produce up to one third of new Web content. One
thing that sets these ”Web 2.0” sites apart from traditional
Web pages and resources is that they are intertwined
with other forms of networked data. Their standard
hyperlinks are enriched by social networks, comments,
trackbacks, advertisements, tags, RDF data and
metadata. We describe recent work on building systems
that ana...]]></description>
  <dc:date>2007-10-10</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/367/Why-We-Twitter-Understanding-Microblogging-Usage-and-Communities">
  <title><![CDATA[Why We Twitter: Understanding Microblogging Usage and Communities]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/367/Why-We-Twitter-Understanding-Microblogging-Usage-and-Communities</link>
  <description><![CDATA[Microblogging is a new form of communication in which
users can describe their current status in short posts distributed
by instant messages, mobile phones, email or the
Web. Twitter, a popular microblogging tool has seen a lot
of growth since it launched in October, 2006. In this paper,
we present our observations of the microblogging phenomena
by studying the topological and geographical properties
of Twitter’s social network. We find that people use microblogging
to talk about th...]]></description>
  <dc:date>2007-08-12</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/365/Adding-Semantics-to-Social-Websites-for-Citizen-Science">
  <title><![CDATA[Adding Semantics to Social Websites for Citizen Science]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/365/Adding-Semantics-to-Social-Websites-for-Citizen-Science</link>
  <description><![CDATA[While efforts are underway to represent existing ecological
databases semantically, so that they may be intelligently queried and integrated by agents, less attention has been paid to 1) rapidly changing datastreams, and 2) unstructured data from amateur observers. We describe the development of two tools that interact with popular social websites as a means to generate and take advantage of semantic web content for citizen science. Splickr, a website, interacts with the Flickr and Yahoo map...]]></description>
  <dc:date>2007-06-05</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/370/On-Modeling-Trust-in-Social-Media-using-Link-Polarity">
  <title><![CDATA[On Modeling Trust in Social Media using Link Polarity]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/370/On-Modeling-Trust-in-Social-Media-using-Link-Polarity</link>
  <description><![CDATA[There is a growing interest in exploring the role of social networks to understand how communities and individuals spread influence. In a densely connected online world, social media and networks have a great potential in influencing our thoughts and actions. We describe techniques to model trust in social media and present experimental results on finding “like minded” blogs based on blog-to-blog link sentiment for a particular domain. Using simple sentiment detection techniques, we ident...]]></description>
  <dc:date>2007-05-14</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/342/Towards-Spam-Detection-at-Ping-Servers">
  <title><![CDATA[Towards Spam Detection at Ping Servers]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/342/Towards-Spam-Detection-at-Ping-Servers</link>
  <description><![CDATA[Spam blogs, or splogs, are blogs featuring plagiarized or auto-generated content. They create link farms to promote affiliates, and are motivated by the profitability of hosting ads. Splogs infiltrate the blogosphere at ping servers, systems that aggregate blog update pings. Over the past year, our work has focused on detecting and eliminating splogs. As techniques used by spammers have evolved, we have learned how splog signatures are tied to tools that create them, that they are beginning t...]]></description>
  <dc:date>2007-03-25</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/326/BlogVox-Separating-Blog-Wheat-from-Blog-Chaff">
  <title><![CDATA[BlogVox: Separating Blog Wheat from Blog Chaff]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/326/BlogVox-Separating-Blog-Wheat-from-Blog-Chaff</link>
  <description><![CDATA[Blog posts are often informally written, poorly structured, rife with
spelling and grammatical errors, and feature non-traditional
content. These characteristics make them difficult to process with
standard language analysis tools.  Performing linguistic analysis on
blogs is plagued by two additional problems: (i) the presence of spam
blogs and spam comments and (ii) extraneous non-content including
blog-rolls, link-rolls, advertisements and sidebars. We describe
techniques designed to...]]></description>
  <dc:date>2007-01-07</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/318/Blog-Track-Open-Task-Spam-Blog-Classification">
  <title><![CDATA[Blog Track Open Task: Spam Blog Classification]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/318/Blog-Track-Open-Task-Spam-Blog-Classification</link>
  <description><![CDATA[Spam blogs or Splogs are blogs created for the sole purpose of hosting
ads, promoting affiliate sites and getting new content indexed, with
auto-generated or plagiarized content from other sources. Spammers
equipped with readily available splog creation software inundate the
blogosphere both at ping servers, and at systems that index and
analyze blogs. Our own studies estimate these numbers to be around 75%
at ping servers and 20% at popular blog search engines. In this open
submission...]]></description>
  <dc:date>2006-11-14</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/296/Detecting-Spam-Blogs-A-Machine-Learning-Approach">
  <title><![CDATA[Detecting Spam Blogs: A Machine Learning Approach]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/296/Detecting-Spam-Blogs-A-Machine-Learning-Approach</link>
  <description><![CDATA[Weblogs or blogs are an important new way to publish
information, engage in discussions, and form communities
on the Internet. The Blogosphere has unfortunately
been infected by several varieties of spam-like
content. Blog search engines, for example, are inundated
by posts from splogs – false blogs with machine
generated or hijacked content whose sole purpose is to
host ads or raise the PageRank of target sites. We discuss
how SVM models based on local and link-based
features can ...]]></description>
  <dc:date>2006-07-16</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/299/Characterizing-the-Splogosphere">
  <title><![CDATA[Characterizing the Splogosphere]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/299/Characterizing-the-Splogosphere</link>
  <description><![CDATA[Weblogs or blogs collectively constitute the Blogosphere, forming
an influential and interesting subset on theWeb. As with
most Internet-enabled applications, the ease of content creation
and distribution makes the blogosphere spam prone.
Spam blogs or splogs are blogs hosting spam posts, created
using machine generated or hijacked content for the sole purpose
of hosting ads or raising the PageRank of target sites.
These splogs make up the splogosphere, and are now inundating
blog sea...]]></description>
  <dc:date>2006-05-23</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/resource/html/id/298/Coarse-and-Fine-Grained-Sentiment-Analysis-of-Online-Text">
  <title><![CDATA[Coarse and Fine Grained Sentiment Analysis of Online Text]]></title>
  <link>http://ebiquity.umbc.edu/resource/html/id/298/Coarse-and-Fine-Grained-Sentiment-Analysis-of-Online-Text</link>
  <description><![CDATA[Sentiment analysis - the automated extraction of expressions of positive and negative attitudes from text - has received a great amount of attention over the last ten years. Over the same period, via the widespread growth in the use of what we have come to call social media, there has been an explosion in the amount of publically available user generated text on the Web. This text has the potential of providing a source of real time, time tagged sentiments from people all over the globe.

T...]]></description>
  <dc:date>2010-05-11</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/resource/html/id/274/Constraining-Information-Flow-in-Social-Networks-with-Privacy-Policies">
  <title><![CDATA[Constraining Information Flow in Social Networks with Privacy Policies]]></title>
  <link>http://ebiquity.umbc.edu/resource/html/id/274/Constraining-Information-Flow-in-Social-Networks-with-Privacy-Policies</link>
  <description><![CDATA[Online social networking systems are a phenomenon that has grown exponentially over the past few years. These systems provide platforms for people to easily share information, especially about themselves and about their interests. With the recent emergence of geolocation technologies, social networking can allow users to interact relative to location and time. Most systems began with few or no privacy controls and have gradually been adding and enhancing them to meet the demands of their user...]]></description>
  <dc:date>2009-08-10</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/resource/html/id/225/Finding-knowledge-data-and-answers-on-the-Semantic-Web">
  <title><![CDATA[Finding knowledge, data and answers on the Semantic Web]]></title>
  <link>http://ebiquity.umbc.edu/resource/html/id/225/Finding-knowledge-data-and-answers-on-the-Semantic-Web</link>
  <description><![CDATA[Web search engines like Google have made us all smarter by providing ready access to the world's knowledge whenever we need to look up a fact, learn about a topic or evaluate opinions. The W3C's Semantic Web effort aims to make such knowledge more accessible to computer programs by publishing it in machine understandable form. As the volume of Semantic Web data grows, software agents will need their own search engines to help them find the relevant and trustworthy knowledge they need to perfo...]]></description>
  <dc:date>2007-05-09</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/resource/html/id/234/ICWSM-2008-Poster">
  <title><![CDATA[ICWSM 2008 Poster]]></title>
  <link>http://ebiquity.umbc.edu/resource/html/id/234/ICWSM-2008-Poster</link>
  <description><![CDATA[The Second International Conference on Weblogs and Social Media will be helpd  March 31 - April 2 2008 in  Seattle.  

See http://www.icwsm.org/2008/]]></description>
  <dc:date>2007-07-22</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/resource/html/id/309/Negotiating-Privacy-Boundaries-and-Visibility-in-a-Networked-World-Why-We-Need-to-Move-Beyond-Opt-in-vs-Opt-Out">
  <title><![CDATA[Negotiating Privacy, Boundaries and Visibility in a Networked World: Why We Need to Move Beyond Opt-in vs. Opt-Out]]></title>
  <link>http://ebiquity.umbc.edu/resource/html/id/309/Negotiating-Privacy-Boundaries-and-Visibility-in-a-Networked-World-Why-We-Need-to-Move-Beyond-Opt-in-vs-Opt-Out</link>
  <description><![CDATA[It seems that not a week goes by without a new eruption of privacy troubles. Most people are clearly disoriented and confused by this onslaught – the fallout from the introduction of Google Buzz, the confusion caused by changing of Facebook defaults, or the vulnerabilities that Firesheep exposed. Unfortunately, too often, the debate does not proceed beyond the particulars of each crisis – and, at best, concludes a call for opt-in rather than an opt-out mechanism for rolling out new change...]]></description>
  <dc:date>2010-12-03</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/resource/html/id/249/Planet-Social-Media-Research-Pamphlet">
  <title><![CDATA[Planet Social Media Research Pamphlet]]></title>
  <link>http://ebiquity.umbc.edu/resource/html/id/249/Planet-Social-Media-Research-Pamphlet</link>
  <dc:date>2008-08-23</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/resource/html/id/241/spam-in-blogs-and-social-media">
  <title><![CDATA[spam in blogs and social media]]></title>
  <link>http://ebiquity.umbc.edu/resource/html/id/241/spam-in-blogs-and-social-media</link>
  <description><![CDATA[Spam on the Internet dates back over a decade, with its earliest known appearance as an email about the infamous MAKE.MONEY.FAST. campaign. Spam has co-evolved with Internet applications and is now quite common on the World-Wide Web.

As social media systems such as blogs, wikis and bookmark sharing sites have emerged, spammers have quickly developed techniques to infect them as well. The very characteristics underlying the Web, be it version 1.0, 2.0 or 3.0, also enable new varieties of sp...]]></description>
  <dc:date>2007-03-25</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/resource/html/id/299/The-Social-Semantic-Web">
  <title><![CDATA[The Social Semantic Web]]></title>
  <link>http://ebiquity.umbc.edu/resource/html/id/299/The-Social-Semantic-Web</link>
  <description><![CDATA[The Social Web, a platform where people are connecting through their shared objects of interest, is encountering some boundaries in the areas of information integration, portability, search, and demanding tasks like querying. The Semantic Web is an ideal platform for interlinking and performing operations on the diverse data available from Social Web "data silos", and has produced a variety of approaches to overcome some of the limitations with the Social Web. In this talk, Breslin will descr...]]></description>
  <dc:date>2010-06-22</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/resource/html/id/279/Trust-Influence-and-Bias-in-Social-Media">
  <title><![CDATA[Trust, Influence andBias in Social Media]]></title>
  <link>http://ebiquity.umbc.edu/resource/html/id/279/Trust-Influence-and-Bias-in-Social-Media</link>
  <description><![CDATA[This presentation gives an overview of recent research at UMBC on modeling influence, trust and bias in soial media content.]]></description>
  <dc:date>2009-06-11</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/resource/html/id/244/Wikipedia-as-an-ontology">
  <title><![CDATA[Wikipedia as an ontology]]></title>
  <link>http://ebiquity.umbc.edu/resource/html/id/244/Wikipedia-as-an-ontology</link>
  <description><![CDATA[Identifying the topics and concepts associated with a document
or collection of documents is a common task for many
applications. It can help in the annotation and categorization
of documents in a corpus. Knowing the topics of documents a
user has selected and viewed on the Web or from a collection
can be used to model the user's current topical interests for
improving search results, business intelligence or selecting
appropriate advertisements.

We are exploring the idea of using W...]]></description>
  <dc:date>2007-10-01</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/event/html/id/377/Negotiating-Privacy-Boundaries-and-Visibility-in-a-Networked-World-Why-We-Need-to-Move-Beyond-Opt-in-vs-Opt-Out">
  <title><![CDATA[Negotiating Privacy, Boundaries and Visibility in a Networked World:             Why We Need to Move Beyond Opt-in vs. Opt-Out]]></title>
  <link>http://ebiquity.umbc.edu/event/html/id/377/Negotiating-Privacy-Boundaries-and-Visibility-in-a-Networked-World-Why-We-Need-to-Move-Beyond-Opt-in-vs-Opt-Out</link>
  <description><![CDATA[It seems that not a week goes by without a new eruption of privacy troubles. Most people are clearly disoriented and confused by this onslaught – the fallout from the introduction of Google Buzz, the confusion caused by changing of Facebook defaults, or the vulnerabilities that Firesheep exposed. Unfortunately, too often, the debate does not proceed beyond the particulars of each crisis – and, at best, concludes a call for opt-in rather than an opt-out mechanism for rolling out new change...]]></description>
  <dc:date>2010-12-03</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/event/html/id/372/Social-media-analytics">
  <title><![CDATA[Social media analytics]]></title>
  <link>http://ebiquity.umbc.edu/event/html/id/372/Social-media-analytics</link>
  <description><![CDATA[This week's ebiquity meeting will focus on social media and two research efforts that are part of our Relief Social Media project.

Mohit Kewalramani will present the topic that he is addressing in his MS research.  An important task in analyzing highly networked information sources like Twitter is to identify communities that are formed. A community can be defined as a group of nodes that have more links within the set than outside it. We plan to present a technique for detecting communiti...]]></description>
  <dc:date>2010-10-12</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/event/html/id/366/Group-Centric-Information-Sharing-Model-for-Social-Networks">
  <title><![CDATA[Group Centric Information Sharing Model for Social Networks]]></title>
  <link>http://ebiquity.umbc.edu/event/html/id/366/Group-Centric-Information-Sharing-Model-for-Social-Networks</link>
  <description><![CDATA[Social networking platforms like Facebook are immensely popular and help users to collaborate and share information in real time. However information sharing and privacy go hand in hand and It is very hard to define the term privacy infringement.  

Amit Mahale and Pradeep Chinnam will review G-sis,a new group centric information sharing model [1] being developed by Ravi Sandhu and colleagues. While traditional approach to information sharing focus on attaching attributes and policies to ob...]]></description>
  <dc:date>2010-09-28</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/event/html/id/355/Clustering-short-status-messages-a-topic-model-based-approach">
  <title><![CDATA[Clustering short status messages: a topic model based approach]]></title>
  <link>http://ebiquity.umbc.edu/event/html/id/355/Clustering-short-status-messages-a-topic-model-based-approach</link>
  <description><![CDATA[Recently, there has been an exponential rise in the use of online social media systems like Twitter and Facebook. Even more usage has been observed during events related to natural disasters, political turmoil or other such crises. Tweets or status messages are short and may not carry enough contextual clues. Hence, applying traditional natural language processing algorithms on such data is challenging. Topic model is a popular method for modeling term frequency occurrences for documents in a...]]></description>
  <dc:date>2010-07-26</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/event/html/id/348/The-Social-Semantic-Web">
  <title><![CDATA[The Social Semantic Web]]></title>
  <link>http://ebiquity.umbc.edu/event/html/id/348/The-Social-Semantic-Web</link>
  <description><![CDATA[Note change of time to 1:00pm

The Social Web, a platform where people are connecting through their shared objects of interest, is encountering some boundaries in the areas of information integration, portability, search, and demanding tasks like querying. The Semantic Web is an ideal platform for interlinking and performing operations on the diverse data available from Social Web "data silos", and has produced a variety of approaches to overcome some of the limitations with the Social Web....]]></description>
  <dc:date>2010-06-22</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/event/html/id/346/Improving-Accuracy-of-Named-Entity-Recognition-on-Social-Media-Data">
  <title><![CDATA[Improving Accuracy of Named Entity Recognition on Social Media Data]]></title>
  <link>http://ebiquity.umbc.edu/event/html/id/346/Improving-Accuracy-of-Named-Entity-Recognition-on-Social-Media-Data</link>
  <description><![CDATA[Master's Thesis Defense

In recent years, social media outlets such as Twitter and Facebook have drawn attention from companies and researchers interested in detecting trends.  The informal nature of status updates from these services leads to a higher volume of updates, because each update takes little care to generate, but each update is usually short and noisy (misspellings, lack of punctuation, non-standard abbreviations and capitalization).  These shortcomings cause traditional Natural...]]></description>
  <dc:date>2010-05-19</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/event/html/id/337/Collecting-user-annotations-using-Amazon-Mechanical-Turk-and-CrowdFlower">
  <title><![CDATA[Collecting user annotations using Amazon Mechanical Turk and CrowdFlower]]></title>
  <link>http://ebiquity.umbc.edu/event/html/id/337/Collecting-user-annotations-using-Amazon-Mechanical-Turk-and-CrowdFlower</link>
  <description><![CDATA[Will Murnane and Anand Karandikar will talk about using Amazon Mechanical Turk and CrowdFlower systems to collect user annotations for NER task on Twitter statuses. These annotations will help towards developing better named entity recognizers for domains such as Twitter and Facebook.]]></description>
  <dc:date>2010-03-09</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/event/html/id/311/Understanding-RSM-Relief-Social-Media">
  <title><![CDATA[Understanding RSM: Relief Social Media]]></title>
  <link>http://ebiquity.umbc.edu/event/html/id/311/Understanding-RSM-Relief-Social-Media</link>
  <description><![CDATA[Anand Karandikar and Will Murnane will talk about a project they areworking on.  

This talk describes a new ONR-sponsored two-year research project
'Understanding RSM: Relief Social Media' that we are beginning in
conjunction with colleagues at the Lockheed Martin Advanced Technology
Laboratory.  The RSM project is aimed at helping to detect and monitor
information about crises and associated relief efforts from online
sources including both social media and main stream media.

Ther...]]></description>
  <dc:date>2009-09-15</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/event/html/id/305/Constraining-Information-Flow-in-Social-Networks-with-Privacy-Policies">
  <title><![CDATA[Constraining Information Flow in Social Networks with Privacy Policies]]></title>
  <link>http://ebiquity.umbc.edu/event/html/id/305/Constraining-Information-Flow-in-Social-Networks-with-Privacy-Policies</link>
  <description><![CDATA[MS Thesis Defense
Online social networking systems are a phenomenon that has grown exponentially over the past few years. These systems provide platforms for people to easily share information, especially about themselves and about their interests.  With the recent emergence of geolocation technologies, social networking can allow users to interact relative to location and time. Most systems began with few or no privacy controls and have gradually been adding and enhancing them to meet the ...]]></description>
  <dc:date>2009-08-10</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/event/html/id/265/Mining-Social-Media-Communities-and-Content">
  <title><![CDATA[Mining Social Media Communities and Content]]></title>
  <link>http://ebiquity.umbc.edu/event/html/id/265/Mining-Social-Media-Communities-and-Content</link>
  <description><![CDATA[Ph.D. Dissertation Defense


Social Media is changing the way we find information, share knowledge and
communicate with each other. The important factor contributing to the growth
of these technologies is the ability to easily produce "user-generated
content". Blogs, Twitter, Wikipedia, Flickr and YouTube are just a few
examples of Web 2.0 tools that are drastically changing the Internet landscape
today. These platforms allow users to produce, annotate and share information
with thei...]]></description>
  <dc:date>2008-10-16</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/event/html/id/251/Communities-in-Social-Media-Reflections-on-Semantics-Intention-and-Influence-">
  <title><![CDATA[Communities in Social Media: Reflections on Semantics, Intention and Influence]]></title>
  <link>http://ebiquity.umbc.edu/event/html/id/251/Communities-in-Social-Media-Reflections-on-Semantics-Intention-and-Influence-</link>
  <description><![CDATA[Communities are central to online social media systems and detecting
their structure and membership is critical for many applications. A
community in real world is represented in a graph as a set of nodes
that are more closely related to one another than the rest of the
network. In social media, a community could be a set of blogs that are
topically related, a group of friends connected via Live Spaces or
even a set of users who share similar tags in their social bookmarks.
Graph struc...]]></description>
  <dc:date>2008-08-28</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/event/html/id/247/Communities-in-Social-Media-An-Eyepiece-into-Context-User-Intention-and-Influence">
  <title><![CDATA[Communities in Social Media: An Eyepiece into Context, User Intention and Influence]]></title>
  <link>http://ebiquity.umbc.edu/event/html/id/247/Communities-in-Social-Media-An-Eyepiece-into-Context-User-Intention-and-Influence</link>
  <description><![CDATA[Communities are central to online social media systems and detecting their structure and membership is critical for many applications. In this talk, I will discuss some of our recent research on both identifying communities and analyzing their content. We leverage the special properties of Social Media data to analyze the communities in an attempt to understand user intentions, context and influence.

 Community detection techniques can be computationally expensive. An approach to reducing ...]]></description>
  <dc:date>2008-06-30</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/event/html/id/245/A-Different-Kind-of-Social-Physics-Online-Communities-and-the-Revolution-in-the-Architecture-of-Our-Social-Spaces">
  <title><![CDATA[A Different Kind of Social Physics: Online Communities and the Revolution in the Architecture of Our Social Spaces]]></title>
  <link>http://ebiquity.umbc.edu/event/html/id/245/A-Different-Kind-of-Social-Physics-Online-Communities-and-the-Revolution-in-the-Architecture-of-Our-Social-Spaces</link>
  <description><![CDATA[Everyday, tens of millions of people chat, text, email, poke, twitter, IM and facebook (and, yes, that is a verb). They do what people have always done: they make friends and mark enemies, they assert and seek status, they look for affirmation and for connection, they check out the competition and, above all, they seek the comfort of community. Contrary to earlier predictions, people do not undertake revolutionary, unheard of acts just because the medium is new. In fact, the rise of social co...]]></description>
  <dc:date>2008-05-28</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/event/html/id/222/Gnizr-an-open-source-social-bookmarking-application">
  <title><![CDATA[Gnizr: an open source social bookmarking application]]></title>
  <link>http://ebiquity.umbc.edu/event/html/id/222/Gnizr-an-open-source-social-bookmarking-application</link>
  <description><![CDATA[Gnizr is an open source application for social bookmarking and web mashup. It is easy to use gnizr to create a personalized del.icio.us-like portal for a group of friends and colleagues to store, classify, share information, and mash-it-up with information about location.

For more information, see http://gnizr.googlecode.com.]]></description>
  <dc:date>2007-11-05</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/event/html/id/221/Wikipedia-as-an-ontology-for-describing-documents">
  <title><![CDATA[Wikipedia as an ontology for describing documents]]></title>
  <link>http://ebiquity.umbc.edu/event/html/id/221/Wikipedia-as-an-ontology-for-describing-documents</link>
  <description><![CDATA[Identifying the topics and concepts associated with a
document or collection of documents is a common task for
many applications.  It can help in the annotation and
categorization of documents in a corpus. Knowing the topics
of documents a user has selected and viewed on the Web or
from a collection can be used to model the user's current
topical interests for improving search results, business
intelligence or selecting appropriate advertisements.

We are exploring the idea of using ...]]></description>
  <dc:date>2007-10-29</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/event/html/id/212/Detecting-Spam-Blogs-An-Adaptive-Online-Approach-">
  <title><![CDATA[Detecting Spam Blogs: An Adaptive Online Approach]]></title>
  <link>http://ebiquity.umbc.edu/event/html/id/212/Detecting-Spam-Blogs-An-Adaptive-Online-Approach-</link>
  <description><![CDATA[Weblogs, or blogs, are an important new way to publish information, engage
in discussions, and form communities on the Internet. Blogs are a global
phenomenon, and with numbers well over 100 million they form the core of
the emerging paradigm of Social Media. While the utility of blogs is
unquestionable, a serious problem now afflicts them, that of spam. Spam
blogs, or splogs are blogs with auto-generated or plagiarized content
with the sole purpose of hosting profitable contextual ads ...]]></description>
  <dc:date>2007-09-25</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/event/html/id/213/Detecting-spam-blogs-beta-">
  <title><![CDATA[Detecting spam blogs (beta)]]></title>
  <link>http://ebiquity.umbc.edu/event/html/id/213/Detecting-spam-blogs-beta-</link>
  <description><![CDATA[In our regular weekly Ebiquity meeting, Pranam Kolari will give us a preview of his dissertation defense presentation.  He will greatly appreciate feedback on this pre-release beta version, as long as it doesn't involve suggestions that he do an additional six months of research to confirm and strengthen his experimental results.

See  his defense announcement for the abstract.]]></description>
  <dc:date>2007-09-24</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/event/html/id/203/Modeling-Trust-and-Influence-on-Blogosphere-using-Link-Polarity">
  <title><![CDATA[Modeling Trust and Influence on Blogosphere using Link Polarity]]></title>
  <link>http://ebiquity.umbc.edu/event/html/id/203/Modeling-Trust-and-Influence-on-Blogosphere-using-Link-Polarity</link>
  <description><![CDATA[There is a growing interest in exploring the role of social networks for understanding
how communities and individuals spread influence. In a densely connected world where
much of our communication happens online, social media and networks have a great potential in influencing our thoughts and actions. The key contribution of our work is generation of a fully-connected polar social network graph from the sparsely connected social network graph in the context of blogs, where the vertex repre...]]></description>
  <dc:date>2007-04-26</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/event/html/id/191/Modeling-Trust-and-Influence-in-the-Blogosphere-Using-Link-Polarity">
  <title><![CDATA[Modeling Trust and Influence in the Blogosphere Using Link Polarity]]></title>
  <link>http://ebiquity.umbc.edu/event/html/id/191/Modeling-Trust-and-Influence-in-the-Blogosphere-Using-Link-Polarity</link>
  <description><![CDATA[The role of social networks has been well explored in
understanding how communities and individuals spread influence.
In a densely connected world where much of our communication
happens online, social media and networks have a great potential
in influencing our thoughts and actions. We describe techniques
to find "like minded" blogs based on blog-to-blog link sentiment
for a particular domain. Using simple sentiment detection
techniques, we identify the polarity (positive, negative or...]]></description>
  <dc:date>2007-02-13</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/event/html/id/187/Tracking-influence-and-opinions-in-social-media">
  <title><![CDATA[Tracking influence and opinions in social media]]></title>
  <link>http://ebiquity.umbc.edu/event/html/id/187/Tracking-influence-and-opinions-in-social-media</link>
  <description><![CDATA[Recently, social media such as forums, wikis and blogs, in
particular, are playing a notable role in influencing the
buying patterns of consumers.  Often a person looks for
opinions, user experiences and reviews on such sources
before purchasing a product.  Detecting influential nodes,
opinion leaders and understanding their role in how people
perceive and adopt a product or service provides a powerful
tool for marketing, advertising and business
intelligence. This requires new algori...]]></description>
  <dc:date>2006-11-13</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/event/html/id/185/The-Science-of-Interaction-A-New-NSF-Initiative">
  <title><![CDATA[The Science of Interaction: A New NSF Initiative]]></title>
  <link>http://ebiquity.umbc.edu/event/html/id/185/The-Science-of-Interaction-A-New-NSF-Initiative</link>
  <description><![CDATA[The Science of Interaction initiative aims to establish, explore and
exploit the role of communications and computing in all other sciences
and engineering.  It is envisioned as a basic, trans-disciplinary
field, comprised of elements of mathematical, physical, social,
biological, earth and computing sciences, with applications in every
engineering discipline. As we continue to populate the Earth and space
with complex, heterogeneous, interconnected, interdependent manmade
systems, suc...]]></description>
  <dc:date>2006-11-07</dc:date>
 </item>
</rdf:RDF>

