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	This ontology document is licensed under the Creative Commons
	Attribution License. To view a copy of this license, visit
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 <channel rdf:about="http://ebiquity.umbc.edu//tags/html/?t=wikipedia">
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  <title><![CDATA[UMBC ebiquity RSS Tag Search]]></title>
  <link><![CDATA[http://ebiquity.umbc.edu//tags/html/?t=wikipedia]]></link>
  <description><![CDATA[UMBC ebiquity RSS Tag Search for wikipedia]]></description>
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    <rdf:Seq>
      <rdf:li resource="http://ebiquity.umbc.edu/event/html/id/485/Generative-Adversarial-Networks-An-Introduction"/>
      <rdf:li resource="http://ebiquity.umbc.edu/event/html/id/470/Responsive-design-with-Twitter-Bootstrap-a-tutorial-and-demonstration"/>
      <rdf:li resource="http://ebiquity.umbc.edu/event/html/id/469/Infoboxer-Using-Statistical-and-Semantic-Knowledge-to-Help-Create-Wikipedia-Infoboxes"/>
      <rdf:li resource="http://ebiquity.umbc.edu/event/html/id/454/The-Semantic-Web-there-and-back-again"/>
      <rdf:li resource="http://ebiquity.umbc.edu/event/html/id/445/The-why-and-how-of-LaTeX"/>
      <rdf:li resource="http://ebiquity.umbc.edu/event/html/id/441/An-architecture-for-enterprise-information-interoperability"/>
      <rdf:li resource="http://ebiquity.umbc.edu/event/html/id/434/Cyber-Physical-Social-Systems-Research-Challenges"/>
      <rdf:li resource="http://ebiquity.umbc.edu/event/html/id/432/Securing-Cyber-Physical-Systems"/>
      <rdf:li resource="http://ebiquity.umbc.edu/event/html/id/393/PowerRelations-A-Question-Answering-System-for-DBPedia"/>
      <rdf:li resource="http://ebiquity.umbc.edu/event/html/id/391/Extracting-Information-about-Security-Vulnerabilities-from-Web-Text"/>
      <rdf:li resource="http://ebiquity.umbc.edu/getnews/html/id/37/UMBC-researchers-investigate-the-Blogosphere"/>
      <rdf:li resource="http://ebiquity.umbc.edu/getnews/html/id/31/Welcome-to-the-Splogosphere"/>
      <rdf:li resource="http://ebiquity.umbc.edu/project/html/id/83/Wikitology"/>
      <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/981/Understanding-Cybersecurity-Threat-Trends-through-Dynamic-Topic-Modeling"/>
      <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/888/Temporal-Understanding-of-Cybersecurity-Threats"/>
      <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/884/Improving-Neural-Named-Entity-Recognition-with-Gazetteers"/>
      <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/840/Team-UMBC-FEVER-Claim-verification-using-Semantic-Lexical-Resources"/>
      <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/842/SURFACE-Semantically-Rich-Fact-Validation-with-Explanations"/>
      <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/857/Automating-Class-Instance-Representational-Choices-in-Knowledge-Bases"/>
      <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/866/SURFACE-Semantically-Rich-Fact-Validation-with-Explanations"/>
      <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/699/Discovering-and-Querying-Hybrid-Linked-Data"/>
      <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/671/KELVIN-Extracting-Knowledge-from-Large-Text-Collections"/>
      <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/668/Infoboxer-Using-Statistical-and-Semantic-Knowledge-to-Help-Create-Wikipedia-Infoboxes"/>
      <rdf:li resource="http://ebiquity.umbc.edu/research/area/id/27/Social-media"/>
      <rdf:li resource="http://ebiquity.umbc.edu/research/area/id/24/Web-based-information-systems"/>
      <rdf:li resource="http://ebiquity.umbc.edu/resource/html/id/288/Creating-and-Exploiting-a-Web-of-Semantic-Data"/>
      <rdf:li resource="http://ebiquity.umbc.edu/resource/html/id/294/Tables-to-Linked-Data"/>
      <rdf:li resource="http://ebiquity.umbc.edu/resource/html/id/295/Tables-to-Linked-Data"/>
      <rdf:li resource="http://ebiquity.umbc.edu/resource/html/id/353/The-Semantic-Web-there-and-back-again"/>
      <rdf:li resource="http://ebiquity.umbc.edu/resource/html/id/307/Using-linked-data-to-interpret-tables"/>
      <rdf:li resource="http://ebiquity.umbc.edu/resource/html/id/244/Wikipedia-as-an-ontology"/>
      <rdf:li resource="http://ebiquity.umbc.edu/resource/html/id/261/WIkipedia-as-an-ontology"/>
      <rdf:li resource="http://ebiquity.umbc.edu/resource/html/id/258/Wikitology-A-Wikipedia-Derived-Knowledge-Base"/>
      <rdf:li resource="http://ebiquity.umbc.edu/resource/html/id/245/Wikitology-Wikipedia-as-an-ontology"/>
      <rdf:li resource="http://ebiquity.umbc.edu/resource/html/id/250/Wikitology-Wikipedia-as-an-ontology"/>
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 <item rdf:about="http://ebiquity.umbc.edu/event/html/id/485/Generative-Adversarial-Networks-An-Introduction">
  <title><![CDATA[Generative Adversarial Networks, An Introduction]]></title>
  <link>http://ebiquity.umbc.edu/event/html/id/485/Generative-Adversarial-Networks-An-Introduction</link>
  <description><![CDATA[While deep learning has made historic improvements in speech recognition and object recognition in recent years, almost all of these gains have been in supervised learning of now fairly well understood discriminative models. In the larger context of machine learning, less is understood about both unsupervised and generative models, but Generative Adversarial Networks have emerged as a promising approach to making progress in that direction. 

We are going to introduce Generative Adversarial...]]></description>
  <dc:date>2017-02-01</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/event/html/id/470/Responsive-design-with-Twitter-Bootstrap-a-tutorial-and-demonstration">
  <title><![CDATA[Responsive design with Twitter Bootstrap: a tutorial and demonstration]]></title>
  <link>http://ebiquity.umbc.edu/event/html/id/470/Responsive-design-with-Twitter-Bootstrap-a-tutorial-and-demonstration</link>
  <description><![CDATA[Does your webpage look like its from the 90's? Does it scale well on mobile devices or do you have to finger skate on your the mobile device to navigate the page? Or worse! Do you still not have a personal portfolio page? If the answer is yes, then its time create or update your webpage! With a front end framework like Twitter Bootstrap, you can make a quick upgrade to beautiful, modern and most importantly responsive design for your portfolio page.

The presentation will start with a b...]]></description>
  <dc:date>2014-10-15</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/event/html/id/469/Infoboxer-Using-Statistical-and-Semantic-Knowledge-to-Help-Create-Wikipedia-Infoboxes">
  <title><![CDATA[Infoboxer: Using Statistical and Semantic Knowledge to Help Create Wikipedia Infoboxes]]></title>
  <link>http://ebiquity.umbc.edu/event/html/id/469/Infoboxer-Using-Statistical-and-Semantic-Knowledge-to-Help-Create-Wikipedia-Infoboxes</link>
  <description><![CDATA[Wikipedia infoboxes serve as input in the creation of knowledge bases
such as DBpedia, Yago, and Freebase. Current creation of Wikipedia
infoboxes is manual and based on templates that are created and
maintained collaboratively.  However, these templates pose several
challenges:



Different communities use different infobox templates for the same category articles

Attribute names differ (e.g., date of birth vs. birthdate)

Templates are restricted to a single category, mak...]]></description>
  <dc:date>2014-10-01</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/event/html/id/454/The-Semantic-Web-there-and-back-again">
  <title><![CDATA[The Semantic Web: there and back again]]></title>
  <link>http://ebiquity.umbc.edu/event/html/id/454/The-Semantic-Web-there-and-back-again</link>
  <description><![CDATA[The Web has made us all smarter by providing ubiquitous and easy access to virtually all human knowledge. Most of the knowledge is encoded as text, images or videos -- representations that people can easily process, understand and use but which still are difficult for machines. Making this knowledge more accessible to machines will unleash new and more intelligent computer applications and systems. Enabling computers to fully understand text, images and videos is a long term goal that will re...]]></description>
  <dc:date>2013-04-18</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/event/html/id/445/The-why-and-how-of-LaTeX">
  <title><![CDATA[The why and how of LaTeX]]></title>
  <link>http://ebiquity.umbc.edu/event/html/id/445/The-why-and-how-of-LaTeX</link>
  <description><![CDATA[LaTex was created by computer scientist Leslie Lamport in the the early 1980s as a more usable front-end for Donald Knuth's TeX.  It quickly became the prefered choice for preparing high-quality complex documents in STEM disciplines and by many publishers and remains so after more than 30 years.  This talk will provide an introduction and tutorial on how to use LaTeX.  We'll also touch on when you might choose to some of the alternatives (e.g., Word and Google Docs) and how to make effective ...]]></description>
  <dc:date>2013-02-18</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/event/html/id/441/An-architecture-for-enterprise-information-interoperability">
  <title><![CDATA[An architecture for enterprise information interoperability]]></title>
  <link>http://ebiquity.umbc.edu/event/html/id/441/An-architecture-for-enterprise-information-interoperability</link>
  <description><![CDATA[The World Wide Web differed from other early hypertext systems in the removal of "back links" (the ability of a hyperlinked object to link back to a referring resource). The removal of back links allowed the scalability inherent in the Web's design, but sacrificed the knowledge necessary to update links when content moved. Persistent URLs (PURLs) have been used on the Web since 1995 to provide an inexpensive and partial solution to link updates via HTTP redirection: PURLs do not change thei...]]></description>
  <dc:date>2012-11-09</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/event/html/id/434/Cyber-Physical-Social-Systems-Research-Challenges">
  <title><![CDATA[Cyber-Physical Social Systems: Research Challenges]]></title>
  <link>http://ebiquity.umbc.edu/event/html/id/434/Cyber-Physical-Social-Systems-Research-Challenges</link>
  <description><![CDATA[We are witnessing a new revolution in computing and communication. The Internet, which has spanned several networks in a wide variety of domains, is having a significant impact on every aspect of our lives. The next generation of networks will utilize a wide variety of resources with significant sensing capabilities. Such networks will extend beyond physically linked computers to include multimodal information from biological, cognitive, semantic, and social networks. This paradigm shift will...]]></description>
  <dc:date>2012-04-06</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/event/html/id/432/Securing-Cyber-Physical-Systems">
  <title><![CDATA[Securing Cyber-Physical Systems]]></title>
  <link>http://ebiquity.umbc.edu/event/html/id/432/Securing-Cyber-Physical-Systems</link>
  <description><![CDATA[Our critical infrastructure systems are being modernized with information and communication technologies to face the operational requirements and efficiency challenges of the 21st century. The smart grid in particular, will introduce millions of new intelligent components to the electric grid, buildings, and homes within the next decade. While this modernization will bring many operational benefits to infrastructure systems, it will also introduce new vulnerabilities, a larger attack surface,...]]></description>
  <dc:date>2012-03-26</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/event/html/id/393/PowerRelations-A-Question-Answering-System-for-DBPedia">
  <title><![CDATA[PowerRelations: A Question Answering System for DBPedia]]></title>
  <link>http://ebiquity.umbc.edu/event/html/id/393/PowerRelations-A-Question-Answering-System-for-DBPedia</link>
  <description><![CDATA[Large amounts of structured and semi-structured semantic data are available on the Web. A well-known example is DBpedia, which extracts data from Wikipedia, encodes it in the Semantic Web language RDF, and stores it in a triplestore. Although a formal query language, SPARQL, is available for accessing such data, it remains challenging for users to query the knowledge unless they are familiar with SPARQL and the particular ontologies used. We have developed an intuitive system for users to ex...]]></description>
  <dc:date>2011-04-26</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/event/html/id/391/Extracting-Information-about-Security-Vulnerabilities-from-Web-Text">
  <title><![CDATA[Extracting Information about Security Vulnerabilities from Web Text]]></title>
  <link>http://ebiquity.umbc.edu/event/html/id/391/Extracting-Information-about-Security-Vulnerabilities-from-Web-Text</link>
  <description><![CDATA[The Web has rapidly grown into a source for disseminating information related to computer security threats, vulnerabilities and cyber-attacks. We present initial work on developing a framework to detect and extract descriptions of vulnerabilities and attacks from Web text. Our prototype system uses Wikitology, a general purpose knowledge base based on Wikipedia, to extract concepts that describe specific vulnerabilities and attacks, map them to related concepts from DBpedia and generate mac...]]></description>
  <dc:date>2011-04-19</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/getnews/html/id/37/UMBC-researchers-investigate-the-Blogosphere">
  <title><![CDATA[UMBC researchers investigate the Blogosphere]]></title>
  <link>http://ebiquity.umbc.edu/getnews/html/id/37/UMBC-researchers-investigate-the-Blogosphere</link>
  <description><![CDATA[Research on detecting "splogs" by Professors Tim Finin, Anupam Joshi and Tim Oates and PhD students Pranam Kolari and Akshay Java of the Computer Science and Electrical Engineering Department was mentioned in an article in the September issue of Wired Magazine.  Splogs are spam weblogs that are automatically generated to host advertisements or to raise the rank or affiliated web sites.  The UMBC group recently published a study showing that more than half of the active English language blogs ...]]></description>
  <dc:date>2006-09-05</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/getnews/html/id/31/Welcome-to-the-Splogosphere">
  <title><![CDATA[Welcome to the Splogosphere]]></title>
  <link>http://ebiquity.umbc.edu/getnews/html/id/31/Welcome-to-the-Splogosphere</link>
  <description><![CDATA[Welcome to the Splogosphere!

UMBC study estimates that 75% of posts to English language weblogs are spam


Baltimore, December 16, 2005

 A weblog monitoring system developed by UMBC Ph.D. student Pranam
Kolari shows that a new form of spam -- spam blogs or splogs --
has quickly become a serious problem. 

 Splogs are "fake"
weblog sites that have been set up to carry paid advertisements,
promote affiliated web sites by increasing their PageRank, and to get
new sites noti...]]></description>
  <dc:date>2005-12-16</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/project/html/id/83/Wikitology">
  <title><![CDATA[Wikitology]]></title>
  <link>http://ebiquity.umbc.edu/project/html/id/83/Wikitology</link>
  <description><![CDATA[Identifying topics and concepts associated with a set of documents is
a task common to many applications. It can help in the annotation and
categorization of documents and be used to model a person's current
interests for improving search results, business intelligence or
selecting appropriate advertisements. We are investigating the use of
Wikipedia's articles and associated pages as a topic ontology for this
purpose. The benefits of the approach are that the ontology terms are
develo...]]></description>
  <dc:date>2007-10-01</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/981/Understanding-Cybersecurity-Threat-Trends-through-Dynamic-Topic-Modeling">
  <title><![CDATA[Understanding Cybersecurity Threat Trends through Dynamic Topic Modeling]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/981/Understanding-Cybersecurity-Threat-Trends-through-Dynamic-Topic-Modeling</link>
  <description><![CDATA[Cybersecurity threats continue to increase and are impacting almost all aspects of modern life. Being aware of how vulnerabilities and their exploits are changing gives helpful insights into combating new threats. Applying dynamic topic modeling to a timestamped cybersecurity document collection shows how the significance and details of concepts found in them are evolving.  We correlate two different temporal corpora, one with reports about specific exploits and another with research-oriented...]]></description>
  <dc:date>2021-06-01</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/888/Temporal-Understanding-of-Cybersecurity-Threats">
  <title><![CDATA[Temporal Understanding of Cybersecurity Threats]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/888/Temporal-Understanding-of-Cybersecurity-Threats</link>
  <description><![CDATA[As cybersecurity-related threats continue to increase, understanding how the field is changing over time can give insight into combating new threats and understanding historical events. We show how to apply dynamic topic models to a set of cybersecurity documents to understand how the concepts within them change over time.  We correlate two different data sets: the first relates to specific exploits, and the second relates to cybersecurity research. We use Wikipedia concepts to provide a basi...]]></description>
  <dc:date>2020-05-25</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/884/Improving-Neural-Named-Entity-Recognition-with-Gazetteers">
  <title><![CDATA[Improving Neural Named Entity Recognition with Gazetteers]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/884/Improving-Neural-Named-Entity-Recognition-with-Gazetteers</link>
  <description><![CDATA[The goal of this work is to improve the performance of a neural named entity recognition system by adding input features that indicate a word is part of a name included in a gazetteer. This article describes how to generate gazetteers from the Wikidata knowledge graph as well as how to integrate the information into a neural NER system. Experiments reveal that the approach yields performance gains in two distinct languages: a high-resource, word-based language, English, and a high-resource, c...]]></description>
  <dc:date>2020-03-06</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/840/Team-UMBC-FEVER-Claim-verification-using-Semantic-Lexical-Resources">
  <title><![CDATA[Team UMBC-FEVER: Claim verification using Semantic Lexical Resources]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/840/Team-UMBC-FEVER-Claim-verification-using-Semantic-Lexical-Resources</link>
  <description><![CDATA[We describe our system used in the 2018 FEVER shared task. The system employed a frame-based information retrieval approach to select Wikipedia sentences that provide evidence and a two-layer multilayer perceptron to classify a claim as correct or incorrect. Our submission achieved a score of 0.3966 on the Evidence F1 metric with an accuracy of 44.79% and a FEVER score of 0.2628 F1 points.]]></description>
  <dc:date>2018-11-01</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/842/SURFACE-Semantically-Rich-Fact-Validation-with-Explanations">
  <title><![CDATA[SURFACE: Semantically Rich Fact Validation with Explanations]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/842/SURFACE-Semantically-Rich-Fact-Validation-with-Explanations</link>
  <description><![CDATA[Judging the veracity of a sentence making one or more claims is an important and challenging problem with many dimensions. The recent FEVER task asked participants to classify input sentences as either SUPPORTED, REFUTED, or NotEnoughInfo using Wikipedia as a source of true facts. SURFACE does this task and explains its decision through a selection of sentences from the trusted source. Our multi-task neural approach uses semantic lexical frames from FrameNet to jointly (i) find relevant evide...]]></description>
  <dc:date>2018-11-01</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/857/Automating-Class-Instance-Representational-Choices-in-Knowledge-Bases">
  <title><![CDATA[Automating Class/Instance Representational Choices in Knowledge Bases]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/857/Automating-Class-Instance-Representational-Choices-in-Knowledge-Bases</link>
  <description><![CDATA[We present a method for making decisions as to whether an entity in a knowledge base should be a class or an instance based on external evidence in the form of corresponding textual corpora such as Wikipedia articles. The approach, based on machine classification of the text, avoids the need for feature engineering and provides valuable guidance when building or refining large knowledge bases. The approach works well over different domains and outperforms a variety of other state-of-the-art a...]]></description>
  <dc:date>2018-10-31</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/866/SURFACE-Semantically-Rich-Fact-Validation-with-Explanations">
  <title><![CDATA[SURFACE: Semantically Rich Fact Validation with Explanations]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/866/SURFACE-Semantically-Rich-Fact-Validation-with-Explanations</link>
  <description><![CDATA[Judging the veracity of a sentence making one or more claims is an important and challenging problem with many dimensions. The recent FEVER task asked participants to classify input sentences as either SUPPORTED, REFUTED or NotEnoughInfo using Wikipedia as a source of true facts. SURFACE does this task and explains its decision through a selection of sentences from the trusted source. Our multi-task neural approach uses semantic lexical frames from FrameNet to jointly (i) find relevant eviden...]]></description>
  <dc:date>2018-10-31</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/699/Discovering-and-Querying-Hybrid-Linked-Data">
  <title><![CDATA[Discovering and Querying Hybrid Linked Data]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/699/Discovering-and-Querying-Hybrid-Linked-Data</link>
  <description><![CDATA[In this paper, we present a unified framework for discovering and querying hybrid linked data. We describe our approach to developing a natural language query interface for a hybrid knowledge base, Wikitology, and present it as a case study for accessing hybrid information sources that include both structured and unstructured data through natural language queries. We evaluate our system on a publicly available dataset and demonstrate improvements over a baseline system.  We describe limitatio...]]></description>
  <dc:date>2015-05-31</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/671/KELVIN-Extracting-Knowledge-from-Large-Text-Collections">
  <title><![CDATA[KELVIN: Extracting Knowledge from Large Text Collections]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/671/KELVIN-Extracting-Knowledge-from-Large-Text-Collections</link>
  <description><![CDATA[We describe the KELVIN system for extracting entities and relations from large text collections and its use in the TAC Knowledge Base Population Cold Start task run by the U.S. National Institute of Standards and Technology.  The Cold Start task starts with an empty knowledge base defined by an ontology or entity types, properties, and relations.  Evaluations in 2012 and 2013 were done using a collection of text from local Web and news to de-emphasize the linking entities to a background know...]]></description>
  <dc:date>2014-11-13</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/668/Infoboxer-Using-Statistical-and-Semantic-Knowledge-to-Help-Create-Wikipedia-Infoboxes">
  <title><![CDATA[Infoboxer: Using Statistical and Semantic Knowledge to Help Create Wikipedia Infoboxes]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/668/Infoboxer-Using-Statistical-and-Semantic-Knowledge-to-Help-Create-Wikipedia-Infoboxes</link>
  <description><![CDATA[Wikipedia infoboxes serve as input in the creation of knowledge bases such as DBpedia, Yago, and Freebase. Current creation of Wikipedia infoboxes is manual and based on templates that are created and maintained collaboratively.  However, these templates pose several challenges:

Different communities use different infobox templates for the same category articles
Attribute names differ (e.g., date of birth vs. birthdate)
Templates are restricted to a single category, making it harder to f...]]></description>
  <dc:date>2014-10-21</dc:date>
 </item>
 <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>
  <dc:date>2026-09-12</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/research/area/id/24/Web-based-information-systems">
  <title><![CDATA[Web based information systems]]></title>
  <link>http://ebiquity.umbc.edu/research/area/id/24/Web-based-information-systems</link>
  <description><![CDATA[The web has become the dominant medium that people use to share information, collaborate and cooperate.  We are sttudying how new Web based systems like blogs, wikis and web services are evolving.]]></description>
  <dc:date>2026-09-12</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/resource/html/id/288/Creating-and-Exploiting-a-Web-of-Semantic-Data">
  <title><![CDATA[Creating and Exploiting a Web of Semantic Data]]></title>
  <link>http://ebiquity.umbc.edu/resource/html/id/288/Creating-and-Exploiting-a-Web-of-Semantic-Data</link>
  <description><![CDATA[Twenty years ago Tim Berners-Lee proposed a distributed hypertext system based on standard Internet proto-cols. The Web that resulted fundamentally changed the ways we share information and services, both on the public Internet and within organizations. That original proposal contained the seeds of another effort that has not yet fully blossomed: a Semantic Web designed to enable computer programs to share and understand structured and semi-structured information easily. We will review the ev...]]></description>
  <dc:date>2010-01-24</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/resource/html/id/294/Tables-to-Linked-Data">
  <title><![CDATA[Tables to Linked Data]]></title>
  <link>http://ebiquity.umbc.edu/resource/html/id/294/Tables-to-Linked-Data</link>
  <description><![CDATA[Much of the world’s knowledge is contained in structured documents
like spreadsheets, database relations and tables in documents found
on the Web and in print.  The information in these tables might be
much more valuable if it could be appropriately exported or encoded in
RDF, making it easier to share, understand and integrate with other
information.  This is especially true if it could be linked into the
growing linked data cloud.  We describe techniques to automatically
infer a (p...]]></description>
  <dc:date>2010-04-06</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/resource/html/id/295/Tables-to-Linked-Data">
  <title><![CDATA[Tables to Linked Data]]></title>
  <link>http://ebiquity.umbc.edu/resource/html/id/295/Tables-to-Linked-Data</link>
  <description><![CDATA[Much of the world’s knowledge is contained in structured documents like spreadsheets, database relations and tables in documents found on the Web and in print. The information in these tables might be much more valuable if it could be appropriately exported or encoded in RDF, making it easier to share, understand and integrate with other information. This is especially true if it could be linked into the growing linked data cloud. We describe techniques to automatically infer a (partial) se...]]></description>
  <dc:date>2010-04-26</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/resource/html/id/353/The-Semantic-Web-there-and-back-again">
  <title><![CDATA[The Semantic Web: there and back again]]></title>
  <link>http://ebiquity.umbc.edu/resource/html/id/353/The-Semantic-Web-there-and-back-again</link>
  <description><![CDATA[The Web has made us all smarter by providing ubiquitous and easy access to virtually all human knowledge. Most of the knowledge is encoded as text, images or videos -- representations that people can easily process, understand and use but which still are difficult for machines. Making this knowledge more accessible to machines will unleash new and more intelligent computer applications and systems.  Enabling computers to fully understand text, images and videos is a long term goal that will r...]]></description>
  <dc:date>2013-04-18</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/resource/html/id/307/Using-linked-data-to-interpret-tables">
  <title><![CDATA[Using linked data to interpret tables]]></title>
  <link>http://ebiquity.umbc.edu/resource/html/id/307/Using-linked-data-to-interpret-tables</link>
  <description><![CDATA[Vast amount of information is available in structured forms like spreadsheets, database relations, and tables found in documents and on the Web. In today’s talk I will describe an approach that uses linked data to interpret such tables and associate their components with nodes in a reference linked data collection. Our proposed framework assigns a class (i.e. type) to table columns, links table cells to entities, and inferred relations between columns to properties. The resulting interpreta...]]></description>
  <dc:date>2010-09-14</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/resource/html/id/261/WIkipedia-as-an-ontology">
  <title><![CDATA[WIkipedia as an ontology]]></title>
  <link>http://ebiquity.umbc.edu/resource/html/id/261/WIkipedia-as-an-ontology</link>
  <description><![CDATA[There is a lot of 'semantic information' on the Web, the vast
majority of which is encoded as human language text. This is
especially true for content found on the social web, consisting
of blogs, Wikis, forums, and many other social media systems. One
way to accelerate the realization of the Semantic Web's vision of
a web of machine understandable data is to extract semantic
information from this text and publish it in structured or
semi-structured forms (e.g., RDF) using appropriate ...]]></description>
  <dc:date>2009-03-24</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/resource/html/id/258/Wikitology-A-Wikipedia-Derived-Knowledge-Base">
  <title><![CDATA[Wikitology: A Wikipedia Derived Knowledge Base]]></title>
  <link>http://ebiquity.umbc.edu/resource/html/id/258/Wikitology-A-Wikipedia-Derived-Knowledge-Base</link>
  <description><![CDATA[Wikipedia is a freely available online encyclopedia developed by a community of users. This encyclopedia comprises of millions of articles. The depth and coverage of Wikipedia has attracted the attention of researchers for employing it as a knowledge resource for solving various problems. In this research we propose to exploit Wikipedia along with other related open knowledge sources to automatically generate Semantic knowledge. We discuss Wikipedia’s structure in detail and suggest hybrid ...]]></description>
  <dc:date>2009-02-06</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/resource/html/id/245/Wikitology-Wikipedia-as-an-ontology">
  <title><![CDATA[Wikitology: Wikipedia as an ontology]]></title>
  <link>http://ebiquity.umbc.edu/resource/html/id/245/Wikitology-Wikipedia-as-an-ontology</link>
  <description><![CDATA[Identifying topics and concepts associated with a set of documents is a task common to many applications. It can help with the annotation and categorization of documents and be used to model a person's current interests to improve search results, support business intelligence, or select appropriate advertisements. One approach is to associate a document with a set of topics selected from a fixed ontology or vocabulary of terms. We have investigated using Wikipedia's articles and associated pa...]]></description>
  <dc:date>2008-01-09</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/resource/html/id/250/Wikitology-Wikipedia-as-an-ontology">
  <title><![CDATA[Wikitology: Wikipedia as an ontology]]></title>
  <link>http://ebiquity.umbc.edu/resource/html/id/250/Wikitology-Wikipedia-as-an-ontology</link>
  <description><![CDATA[Wikipedia has become an important source of online knowledge for people that is kept up to date and available in many languages. We describe an approach to extracting information from Wikipedia and related sources to construct an ontology and associated knowledge base. The core idea is to use Wikipedia's articles and associated pages as a topic ontology. The benefits of the approach are that the ontology terms are developed through a social process, maintained and kept current by the Wikipedi...]]></description>
  <dc:date>2008-08-28</dc:date>
 </item>
</rdf:RDF>
