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<!--
	This ontology document is licensed under the Creative Commons
	Attribution License. To view a copy of this license, visit
	http://creativecommons.org/licenses/by/2.0/ or send a letter to
	Creative Commons, 559 Nathan Abbott Way, Stanford, California
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 <channel rdf:about="http://ebiquity.umbc.edu//tags/html/?t=blog">
  <cc:license rdf:resource="http://creativecommons.org/licenses/by/2.0/" />
  <title><![CDATA[UMBC ebiquity RSS Tag Search]]></title>
  <link><![CDATA[http://ebiquity.umbc.edu//tags/html/?t=blog]]></link>
  <description><![CDATA[UMBC ebiquity RSS Tag Search for blog]]></description>
  <items>
    <rdf:Seq>
      <rdf:li resource="http://ebiquity.umbc.edu/event/html/id/474/TABEL-A-Domain-Independent-and-Extensible-Framework-for-Inferring-the-Semantics-of-Tables"/>
      <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/461/Extracting-cybersecurity-related-entities-terms-and-concepts-from-text"/>
      <rdf:li resource="http://ebiquity.umbc.edu/event/html/id/458/A-Collaborative-Approach-to-Situational-Awareness-for-CyberSecurity"/>
      <rdf:li resource="http://ebiquity.umbc.edu/event/html/id/451/Information-Extraction-of-Security-related-entities-and-concepts-from-unstructured-text"/>
      <rdf:li resource="http://ebiquity.umbc.edu/event/html/id/436/Situation-Aware-Intrusion-Detection-Model"/>
      <rdf:li resource="http://ebiquity.umbc.edu/event/html/id/348/The-Social-Semantic-Web"/>
      <rdf:li resource="http://ebiquity.umbc.edu/event/html/id/345/Coarse-and-Fine-Grained-Sentiment-Analysis-of-Online-Text"/>
      <rdf:li resource="http://ebiquity.umbc.edu/event/html/id/296/Adversarial-Classification-An-Ensemble-based-approach"/>
      <rdf:li resource="http://ebiquity.umbc.edu/getnews/html/id/38/Looking-back-at-the-ebiquity-research-group-s-2006"/>
      <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/75/Feeds-that-matter"/>
      <rdf:li resource="http://ebiquity.umbc.edu/project/html/id/86/Indian-Election-2009"/>
      <rdf:li resource="http://ebiquity.umbc.edu/project/html/id/68/memeta"/>
      <rdf:li resource="http://ebiquity.umbc.edu/project/html/id/56/Semantic-Discovery-Discovering-Complex-Relationships-in-Semantic-Web"/>
      <rdf:li resource="http://ebiquity.umbc.edu/project/html/id/81/Twitterment"/>
      <rdf:li resource="http://ebiquity.umbc.edu/project/html/id/76/Vox-Blogguli"/>
      <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/1045/Knowledge-Embedded-Narrative-Construction-from-Open-Source-Intelligence"/>
      <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/1033/Computational-Understanding-of-Narratives-A-Survey"/>
      <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/1017/CyberEnt-Extracting-Domain-Specific-Entities-from-Cybersecurity-Text"/>
      <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/1006/Combating-Fake-Cyber-Threat-Intelligence-using-Provenance-in-Cybersecurity-Knowledge-Graphs"/>
      <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/999/CyBERT-Contextualized-Embeddings-for-the-Cybersecurity-Domain"/>
      <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/1009/Cybersecurity-Knowledge-Graph-Improvement-with-Graph-Neural-Networks"/>
      <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/986/Multi-Qubit-Correction-for-Quantum-Annealers"/>
      <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/945/Knowledge-Enrichment-by-Fusing-Representations-for-Malware-Threat-Intelligence-and-Behavior"/>
      <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/829/Preventing-Poisoning-Attacks-on-AI-based-Threat-Intelligence-Systems"/>
      <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/186/AAAI-06-FTM-Poster"/>
      <rdf:li resource="http://ebiquity.umbc.edu/resource/html/id/128/AAAI-word-search-puzzle"/>
      <rdf:li resource="http://ebiquity.umbc.edu/resource/html/id/129/AAAI-05-blog"/>
      <rdf:li resource="http://ebiquity.umbc.edu/resource/html/id/214/Analyzing-the-Political-Blogosphere"/>
      <rdf:li resource="http://ebiquity.umbc.edu/resource/html/id/355/Annotations-of-Cybersecurity-blogs-and-articles"/>
      <rdf:li resource="http://ebiquity.umbc.edu/resource/html/id/230/BlogVox2-Sentiment-Detection-in-Political-Blogs"/>
      <rdf:li resource="http://ebiquity.umbc.edu/resource/html/id/231/BlogVox2-Sentiment-Detection-in-Political-Blogs"/>
      <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/190/Detecting-Spam-Blogs-A-Machine-Learning-Approach"/>
      <rdf:li resource="http://ebiquity.umbc.edu/resource/html/id/246/Enabling-Semantic-Ecoblogging-and-Bioblitzes"/>
    </rdf:Seq>
  </items>
 </channel>
 <item rdf:about="http://ebiquity.umbc.edu/event/html/id/474/TABEL-A-Domain-Independent-and-Extensible-Framework-for-Inferring-the-Semantics-of-Tables">
  <title><![CDATA[TABEL -- A Domain Independent and Extensible Framework for Inferring the Semantics of Tables]]></title>
  <link>http://ebiquity.umbc.edu/event/html/id/474/TABEL-A-Domain-Independent-and-Extensible-Framework-for-Inferring-the-Semantics-of-Tables</link>
  <description><![CDATA[ 

 Dissertation Defense

Tables are an integral part of documents, reports and Web pages in many scientific and technical domains, compactly encoding important information that can be difficult to express in text. Table-like structures outside documents, such as spreadsheets, CSV files, log files and databases, are widely used to represent and share information. However, tables remain beyond the scope of regular text processing systems which often treat them like free text.

This ...]]></description>
  <dc:date>2015-01-08</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/461/Extracting-cybersecurity-related-entities-terms-and-concepts-from-text">
  <title><![CDATA[Extracting cybersecurity related entities, terms and concepts from text]]></title>
  <link>http://ebiquity.umbc.edu/event/html/id/461/Extracting-cybersecurity-related-entities-terms-and-concepts-from-text</link>
  <description><![CDATA[Securing computers, data, cyber-physical systems and networks is a growing problem as society&#39;s dependence on them increases while they remain vulnerable to attacks by both criminals and rival nation states. Creating &#39;situationally aware&#39; computer systems that defend against new &quot;zero day&quot; software vulnerabilities requires them to automatically integrate and use new security-related data from a wide variety of sources. One important source is information found in text fr...]]></description>
  <dc:date>2013-05-28</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/event/html/id/458/A-Collaborative-Approach-to-Situational-Awareness-for-CyberSecurity">
  <title><![CDATA[A Collaborative Approach to Situational Awareness for CyberSecurity]]></title>
  <link>http://ebiquity.umbc.edu/event/html/id/458/A-Collaborative-Approach-to-Situational-Awareness-for-CyberSecurity</link>
  <description><![CDATA[Traditional intrusion detection and prevention systems (IDPSs) have well known limitations that decrease their utility against many kinds of attacks.  Current state-of-the-art IDPSs are point based solutions that perform a simple analysis of host or network data and then flag an alert.  Only known attacks whose signatures have been identified and stored in some form can be discovered by most of these systems.  They cannot detect attacks that use low-and-slow vectors.  Many times an attack is ...]]></description>
  <dc:date>2013-04-29</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/event/html/id/451/Information-Extraction-of-Security-related-entities-and-concepts-from-unstructured-text">
  <title><![CDATA[Information Extraction of Security related entities and concepts from unstructured text]]></title>
  <link>http://ebiquity.umbc.edu/event/html/id/451/Information-Extraction-of-Security-related-entities-and-concepts-from-unstructured-text</link>
  <description><![CDATA[Cyber Security has been a big concern especially in past one decade where it is witnessed that targets ranging from large number of internet users to government agencies are being attacked because of vulnerabilities present in the system. Even though these vulnerabilities are identified and published publicly but response has always been slow in covering up these vulnerabilities because there is no automatic mechanism to understand and process this unstructured text that is published on inter...]]></description>
  <dc:date>2013-04-01</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/event/html/id/436/Situation-Aware-Intrusion-Detection-Model">
  <title><![CDATA[Situation Aware Intrusion Detection Model]]></title>
  <link>http://ebiquity.umbc.edu/event/html/id/436/Situation-Aware-Intrusion-Detection-Model</link>
  <description><![CDATA[Growing importance of the underlying information technology infrastructure of every business, media and manufacturing domains have led to increasing events of unauthorized infrastructure access, denial-of-service attacks, and stealing of valuable data. Intrusion Detection Systems (IDS) are applications which monitor cyber-systems to identify any malicious activities, generate an alert when such an activity is detected, and redress the problem if possible. Most of the intrusion detection/preve...]]></description>
  <dc:date>2012-04-19</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/345/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/event/html/id/345/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 glob...]]></description>
  <dc:date>2010-05-11</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/event/html/id/296/Adversarial-Classification-An-Ensemble-based-approach">
  <title><![CDATA[Adversarial Classification: An Ensemble-based approach]]></title>
  <link>http://ebiquity.umbc.edu/event/html/id/296/Adversarial-Classification-An-Ensemble-based-approach</link>
  <description><![CDATA[Master's Thesis Defense Announcement

Spam has been studied and dealt with extensively in the email, web, and, recently, blog domains. Recent work has addressed the problem of non-stationarity of the data using ensemble-based approaches. Adversarial classification has been handled by retraining base classifiers using labeled samples obtained from the ensemble. However, frequent retraining is expensive. There is a need is to dynamically determine when the classifiers should be retrained and ...]]></description>
  <dc:date>2009-04-27</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/getnews/html/id/38/Looking-back-at-the-ebiquity-research-group-s-2006">
  <title><![CDATA[Looking back at the ebiquity research group's 2006]]></title>
  <link>http://ebiquity.umbc.edu/getnews/html/id/38/Looking-back-at-the-ebiquity-research-group-s-2006</link>
  <description><![CDATA[Maybe it's a bit of a cliché, but this is the traditional time to look back on the past year and reflect on how things are going.  It has been an active productive year.  Here's a rundown of our past year by the numbers.

205,000 is the number of visits to the Ebiquity web site.  Our monthly page visits increased five fold over the year and we currently receive about 25,000 visits a month.


   



743 people have
registered as users of the Swoogle
semantic web search system.  By ...]]></description>
  <dc:date>2007-01-01</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/75/Feeds-that-matter">
  <title><![CDATA[Feeds that matter]]></title>
  <link>http://ebiquity.umbc.edu/project/html/id/75/Feeds-that-matter</link>
  <description><![CDATA[Finding good feeds is getting harder as the Blogosphere grows. We analyze the Bloglines public feed subscriptions and describe techniques to induce an intuitive set of feed topics. The FTM! prototype service uses a ranked list of the "feeds that matter" for each topic to allow users to browse the catalog and subscribe to interesting feeds.]]></description>
  <dc:date>2006-05-01</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/project/html/id/86/Indian-Election-2009">
  <title><![CDATA[Indian Election 2009]]></title>
  <link>http://ebiquity.umbc.edu/project/html/id/86/Indian-Election-2009</link>
  <description><![CDATA[The project is available at http://indianelections09.umbc.edu/


This project is devoted to an analysis of the online articles, in the MSM and Social Media, about Indian Elections that will take place in 2009. We analyze the Vox Bloguli to see if it reflects Vox Populi, as far as Indian Elections 2009 are concerned. We also maintain a blog that identifies the issues, events, and personalities associated with the elections. We supplement this with an analysis of the information ecology in M...]]></description>
  <dc:date>2008-08-01</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/project/html/id/68/memeta">
  <title><![CDATA[memeta]]></title>
  <link>http://ebiquity.umbc.edu/project/html/id/68/memeta</link>
  <description><![CDATA[Weblogs, or blogs, have become an important new way to publish information, engage in discussions and form communities. The memeta project is developing a framework for representing and studying the structure and content of communities of blogs. We are particularly interested in how metadata about blogs can be extracted, discovered and computed and how that metadata can be used in the analysis of blogs and to provide new blog related services.  Examples of concrete problems we hope to be able...]]></description>
  <dc:date>2005-03-01</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/project/html/id/56/Semantic-Discovery-Discovering-Complex-Relationships-in-Semantic-Web">
  <title><![CDATA[Semantic Discovery: Discovering Complex Relationships in Semantic Web]]></title>
  <link>http://ebiquity.umbc.edu/project/html/id/56/Semantic-Discovery-Discovering-Complex-Relationships-in-Semantic-Web</link>
  <description><![CDATA[Research in search techniques was a critical component of the first generation of the Web, and has gone from academe to mainstream. A second generation Semantic Web will be built by adding semantic annotations that software can understand and from which humans can benefit. Modeling, discovering and reasoning about complex relationships on the Semantic Web will enable this vision and transform the hunt for documents into a more automated analysis enabled by semantic technology. The beginnings ...]]></description>
  <dc:date>2003-10-01</dc:date>
 </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/76/Vox-Blogguli">
  <title><![CDATA[Vox Blogguli]]></title>
  <link>http://ebiquity.umbc.edu/project/html/id/76/Vox-Blogguli</link>
  <description><![CDATA[Blogvox is an experimental system initially built for the 2006 TREC blog track.  The goal was to do opinion retrieval from blog posts.  GIven a query string describing a topic, e.g., "March of the Penguins", the system retieves blog posts that express an opinion, positive or negative, about the topic.]]></description>
  <dc:date>2006-06-01</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/1045/Knowledge-Embedded-Narrative-Construction-from-Open-Source-Intelligence">
  <title><![CDATA[Knowledge-Embedded Narrative Construction from Open Source Intelligence]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/1045/Knowledge-Embedded-Narrative-Construction-from-Open-Source-Intelligence</link>
  <description><![CDATA[Storytelling is an innate part of language-based communication. Today, current events are reported via Open Source Intelligence (OSINT) sources like news websites, blogs, and discussion forums. Scattered and fragmented sources such as these can be better understood when organized as chains of event plot points, or narratives, that have the ability to communicate end to end stories. Though search engines can retrieve aggregated event information, they lack the ability to sequence relevant even...]]></description>
  <dc:date>2023-02-01</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/1033/Computational-Understanding-of-Narratives-A-Survey">
  <title><![CDATA[Computational Understanding of Narratives: A Survey]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/1033/Computational-Understanding-of-Narratives-A-Survey</link>
  <description><![CDATA[Storytelling and the delivery of societal narratives enable human beings to communicate, connect, and understand one another and the world around them. Narratives can be defined as spoken, visual, or written accounts of interconnected events and actors, generally evolving through some notion of time. Today, information is typically conveyed over online communication mediums, such as social media and blogging websites. Consequently, the act of narrative delivery itself has shifted from simply ...]]></description>
  <dc:date>2022-09-05</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/1017/CyberEnt-Extracting-Domain-Specific-Entities-from-Cybersecurity-Text">
  <title><![CDATA[CyberEnt: Extracting Domain Specific Entities from Cybersecurity Text]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/1017/CyberEnt-Extracting-Domain-Specific-Entities-from-Cybersecurity-Text</link>
  <description><![CDATA[We have created an initial large, unstructured CTI corpus from a variety of open sources such as cybersecurity vendor reports/blogs, vulnerability databases (Common Vulnerabilities and Exposures (CVE)) records, and Advanced Persistent Threat (APT) reports. We are using the corpus to train and test cybersecurity entity models using the SpaCy framework and, in particular, exploring self-learning methods to automatically recognize cybersecurity entities based on limited but high-quality training...]]></description>
  <dc:date>2022-04-30</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/1006/Combating-Fake-Cyber-Threat-Intelligence-using-Provenance-in-Cybersecurity-Knowledge-Graphs">
  <title><![CDATA[Combating Fake Cyber Threat Intelligence using Provenance in Cybersecurity Knowledge Graphs]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/1006/Combating-Fake-Cyber-Threat-Intelligence-using-Provenance-in-Cybersecurity-Knowledge-Graphs</link>
  <description><![CDATA[Today there is a significant amount of fake cybersecurity related intelligence on the internet. To filter out such information, we build a system to capture the provenance information and represent it along with the captured Cyber Threat Intelligence (CTI). In the cybersecurity domain, such CTI is stored in Cybersecurity Knowledge Graphs (CKG). We enhance the exiting CKG model to incorporate intelligence provenance and fuse provenance graphs with CKG. This process includes modifying tradition...]]></description>
  <dc:date>2022-01-01</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/999/CyBERT-Contextualized-Embeddings-for-the-Cybersecurity-Domain">
  <title><![CDATA[CyBERT: Contextualized Embeddings for the Cybersecurity Domain]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/999/CyBERT-Contextualized-Embeddings-for-the-Cybersecurity-Domain</link>
  <description><![CDATA[We present CyBERT, a domain-specific Bidirectional Encoder Representations from Transformers (BERT) model, fine-tuned with a large corpus of textual cybersecurity data. State-of-the-art natural language models that can process dense, fine-grained textual threat, attack, and vulnerability information can provide numerous benefits to the cybersecurity community. The primary contribution of this paper is to provide the security community with an initial fine-tuned BERT model that can perform a v...]]></description>
  <dc:date>2021-12-15</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/1009/Cybersecurity-Knowledge-Graph-Improvement-with-Graph-Neural-Networks">
  <title><![CDATA[Cybersecurity Knowledge Graph Improvement with Graph Neural Networks]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/1009/Cybersecurity-Knowledge-Graph-Improvement-with-Graph-Neural-Networks</link>
  <description><![CDATA[Cybersecurity Knowledge Graphs (CKGs) help in
aggregating information about cyber-events. CKGs combined
with reasoning and querying systems such as SPARQL enable
security researchers to look up information about past cyberevents
that is helpful in understanding future cyber-events or
drawing similarity with a known cyber-event recorded in a
CKG. CKGs have assertions in the form of semantic triples. The
triples describe a relationship between a subject and object, both
of which are cyb...]]></description>
  <dc:date>2021-12-15</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/986/Multi-Qubit-Correction-for-Quantum-Annealers">
  <title><![CDATA[Multi-Qubit Correction for Quantum Annealers]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/986/Multi-Qubit-Correction-for-Quantum-Annealers</link>
  <description><![CDATA[We present multi-qubit correction (MQC) as a novel postprocessing method for quantum annealers that views the evolution in an open system as a Gibbs sampler and reduces a set of excited states to a new synthetic state with a lower energy value.  After sampling from the ground state of a given (Ising) Hamiltonian, MQC compares pairs of excited states to recognize virtual tunnels — i.e., a group of qubits that changing their states simultaneously can result in a new state with a lower energy ...]]></description>
  <dc:date>2021-07-08</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/945/Knowledge-Enrichment-by-Fusing-Representations-for-Malware-Threat-Intelligence-and-Behavior">
  <title><![CDATA[Knowledge Enrichment by Fusing Representations for Malware Threat Intelligence and Behavior]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/945/Knowledge-Enrichment-by-Fusing-Representations-for-Malware-Threat-Intelligence-and-Behavior</link>
  <description><![CDATA[Security engineers and researchers use their disparate knowledge and discretion to identify malware present in a system. Sometimes, they may also use previously extracted knowledge and available Cyber Threat Intelligence (CTI) about known attacks to establish a pattern. To aid in this process, they need knowledge about malware behavior mapped to available CTI. Such mappings enrich our CKG and also help verify the information. In this paper, we retrieve malware samples and execute them in a lo...]]></description>
  <dc:date>2020-11-15</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/829/Preventing-Poisoning-Attacks-on-AI-based-Threat-Intelligence-Systems">
  <title><![CDATA[Preventing Poisoning Attacks on AI based Threat Intelligence Systems]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/829/Preventing-Poisoning-Attacks-on-AI-based-Threat-Intelligence-Systems</link>
  <description><![CDATA[As AI systems become more ubiquitous, securing them becomes an emerging challenge. Over the years, with the surge in online social media use and the data available for analysis, AI systems have been built to extract, represent and use this information. The credibility of this information extracted from open sources, however, can often be questionable. Malicious or incorrect information  can cause a loss of money, reputation, and resources; and in certain situations, pose a threat to human lif...]]></description>
  <dc:date>2019-09-20</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/186/AAAI-06-FTM-Poster">
  <title><![CDATA[AAAI 06 FTM Poster]]></title>
  <link>http://ebiquity.umbc.edu/resource/html/id/186/AAAI-06-FTM-Poster</link>
  <description><![CDATA[David Sifry's latest quarterly report on the state of the Blogosphere states that ``the size of the Blogosphere continues to double every six months". According to this report there are 33.5 million weblogs and many of these are actively posting. As the Blogosphere continues to grow, finding good quality feeds is becoming increasingly difficult. In this paper we present an analysis of the feeds subscribed by a set of publicly listed Bloglines users. Using the subscription information, we desc...]]></description>
  <dc:date>2006-07-16</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/resource/html/id/128/AAAI-word-search-puzzle">
  <title><![CDATA[AAAI word search puzzle]]></title>
  <link>http://ebiquity.umbc.edu/resource/html/id/128/AAAI-word-search-puzzle</link>
  <description><![CDATA[This is a special edition puzzle to commemorate the AAAI-05 conference. The terms  in this AI themed word search puzzle were interlinked using a heuristic best-first search that favors shared letters, small diagrams and a uniform distribution of word directions. The empty cells were filled using a character 4-gram language model derived from the entries themselves.  The result is a word search puzzle that is compact and challenging.  Blog entry here.]]></description>
  <dc:date>2005-07-07</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/resource/html/id/129/AAAI-05-blog">
  <title><![CDATA[AAAI-05 blog]]></title>
  <link>http://ebiquity.umbc.edu/resource/html/id/129/AAAI-05-blog</link>
  <description><![CDATA[The AAAI-05 blog describes and documents AAAI-05 from a student's perspective.  Bloggers post their observations, experiences, reactions, thoughts and questions and upload conference pictures. AAAI attendees are welcome to participate by adding comments to posts and photographs.]]></description>
  <dc:date>2005-07-01</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/resource/html/id/214/Analyzing-the-Political-Blogosphere">
  <title><![CDATA[Analyzing the Political Blogosphere]]></title>
  <link>http://ebiquity.umbc.edu/resource/html/id/214/Analyzing-the-Political-Blogosphere</link>
  <dc:date>2007-03-19</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/resource/html/id/355/Annotations-of-Cybersecurity-blogs-and-articles">
  <title><![CDATA[Annotations of Cybersecurity blogs and articles]]></title>
  <link>http://ebiquity.umbc.edu/resource/html/id/355/Annotations-of-Cybersecurity-blogs-and-articles</link>
  <description><![CDATA[This data is the result of a Master Thesis Project by Ravendar Lal under the supervision of Dr. Tim Finin. This dataset can be used for training technical systems. This dataset consists of manually data for cybersecurity domain where this data collection has the articles from CVES, Adobe Security Bulletins, Microsoft Security Bulletins and various blog posts. Total data has over 45,000 tokens and 5,000 tagged entities. Annotation was done by the Graduate Students of Computer Science Departmen...]]></description>
  <dc:date>2013-05-30</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/resource/html/id/230/BlogVox2-Sentiment-Detection-in-Political-Blogs">
  <title><![CDATA[BlogVox2: Sentiment Detection in Political Blogs]]></title>
  <link>http://ebiquity.umbc.edu/resource/html/id/230/BlogVox2-Sentiment-Detection-in-Political-Blogs</link>
  <description><![CDATA[Bloggers make a huge impact on society by representing and influencing the people.
Blogging by nature is about expressing and listening to opinion. Good sentiment detection
tools, for blogs and other social media, tailored to politics can be a useful tool for
today’s society. With the elections around the corner, political blogs are vital to exerting
and keeping political influence over society. Currently, no sentiment analysis framework
that is tailored to Political Blogs exist. Hence...]]></description>
  <dc:date>2007-07-09</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/resource/html/id/231/BlogVox2-Sentiment-Detection-in-Political-Blogs">
  <title><![CDATA[BlogVox2: Sentiment Detection in Political Blogs]]></title>
  <link>http://ebiquity.umbc.edu/resource/html/id/231/BlogVox2-Sentiment-Detection-in-Political-Blogs</link>
  <description><![CDATA[Bloggers make a huge impact on society by representing and influencing the people.
Blogging by nature is about expressing and listening to opinion. Good sentiment detection
tools, for blogs and other social media, tailored to politics can be a useful tool for
today’s society. With the elections around the corner, political blogs are vital to exerting
and keeping political influence over society. Currently, no sentiment analysis framework
that is tailored to Political Blogs exist. Hence...]]></description>
  <dc:date>2007-07-09</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/190/Detecting-Spam-Blogs-A-Machine-Learning-Approach">
  <title><![CDATA[Detecting Spam Blogs: A Machine Learning Approach]]></title>
  <link>http://ebiquity.umbc.edu/resource/html/id/190/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 be used t...]]></description>
  <dc:date>2006-07-16</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/resource/html/id/246/Enabling-Semantic-Ecoblogging-and-Bioblitzes">
  <title><![CDATA[Enabling Semantic Ecoblogging and Bioblitzes]]></title>
  <link>http://ebiquity.umbc.edu/resource/html/id/246/Enabling-Semantic-Ecoblogging-and-Bioblitzes</link>
  <dc:date>2008-05-22</dc:date>
 </item>
</rdf:RDF>
