<rdf:RDF
 xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#"
 xmlns="http://purl.org/rss/1.0/"
 xmlns:dc="http://purl.org/dc/elements/1.1/"
 xmlns:cc="http://web.resource.org/cc/"
 >
<!--
	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
	94305, USA.
-->
 <channel rdf:about="http://ebiquity.umbc.edu//tags/html/?t=logs">
  <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=logs]]></link>
  <description><![CDATA[UMBC ebiquity RSS Tag Search for logs]]></description>
  <items>
    <rdf:Seq>
      <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/345/Coarse-and-Fine-Grained-Sentiment-Analysis-of-Online-Text"/>
      <rdf:li resource="http://ebiquity.umbc.edu/event/html/id/302/Reverse-Engineering-of-RBAC-Policy-using-Access-Logs"/>
      <rdf:li resource="http://ebiquity.umbc.edu/event/html/id/296/Adversarial-Classification-An-Ensemble-based-approach"/>
      <rdf:li resource="http://ebiquity.umbc.edu/event/html/id/292/Stochastic-and-Iterative-Techniques-for-Relational-Data-Clustering"/>
      <rdf:li resource="http://ebiquity.umbc.edu/event/html/id/289/Web-Security-Overview"/>
      <rdf:li resource="http://ebiquity.umbc.edu/event/html/id/265/Mining-Social-Media-Communities-and-Content"/>
      <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/103/Automatic-Interpretation-of-Log-Files"/>
      <rdf:li resource="http://ebiquity.umbc.edu/project/html/id/104/Automatic-Interpretation-of-Log-Files"/>
      <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/paper/html/id/1045/Knowledge-Embedded-Narrative-Construction-from-Open-Source-Intelligence"/>
      <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/984/A-Simulator-for-Human-Robot-Interaction-in-Virtual-Reality"/>
      <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/paper/html/id/828/Using-Deep-Neural-Networks-to-Translate-Multi-lingual-Threat-Intelligence"/>
      <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/839/Understanding-Multi-lingual-Threat-Intelligence-for-AI-based-Cyber-defense-Systems"/>
      <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/915/Deep-Representation-of-Lyrical-Style-and-Semantics-for-Music-Recommendation"/>
      <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/749/Semantic-Interpretation-of-Structured-Log-Files"/>
      <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/721/Semantic-Interpretation-of-Structured-Log-Files"/>
      <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/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/359/Extracting-Cybersecurity-related-entities-terms-and-concepts-from-text-"/>
      <rdf:li resource="http://ebiquity.umbc.edu/resource/html/id/234/ICWSM-2008-Poster"/>
      <rdf:li resource="http://ebiquity.umbc.edu/resource/html/id/175/Increasing-Research-Visibility-on-the-Web"/>
      <rdf:li resource="http://ebiquity.umbc.edu/resource/html/id/191/Memeta-A-Framework-for-Multi-Relational-Analytics-on-the-Blogosphere"/>
    </rdf:Seq>
  </items>
 </channel>
 <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/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/302/Reverse-Engineering-of-RBAC-Policy-using-Access-Logs">
  <title><![CDATA[Reverse Engineering of RBAC Policy using Access Logs]]></title>
  <link>http://ebiquity.umbc.edu/event/html/id/302/Reverse-Engineering-of-RBAC-Policy-using-Access-Logs</link>
  <description><![CDATA[MS Thesis Defense



Role Based Access Control (RBAC) is a flexible and powerful approach to access control which is widely used. We present approaches to finding the functional role hierarchy using access logs. We discuss a method to reconstruct the functional role hierarchy with knowledge of all access rights of all users. New methods of test data generation are introduced.  We then present heuristics that work with partial logs to predict an approximate role hierarchy. A method to effi...]]></description>
  <dc:date>2009-06-15</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/event/html/id/292/Stochastic-and-Iterative-Techniques-for-Relational-Data-Clustering">
  <title><![CDATA[Stochastic and Iterative Techniques for Relational Data Clustering]]></title>
  <link>http://ebiquity.umbc.edu/event/html/id/292/Stochastic-and-Iterative-Techniques-for-Relational-Data-Clustering</link>
  <description><![CDATA[Dissertation Defense


This research focuses on the topic of relational data clustering,
which is the task of organizing objects into logical groups, or
clusters, taking into account the relational links between objects. As
a research area, relational clustering has received a great deal of
attention recently, because of the large variety of social media
applications and other modern relational data sources that have become
popular, such as weblogs, protein interaction networks, soci...]]></description>
  <dc:date>2009-04-13</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/event/html/id/289/Web-Security-Overview">
  <title><![CDATA[Web Security Overview]]></title>
  <link>http://ebiquity.umbc.edu/event/html/id/289/Web-Security-Overview</link>
  <description><![CDATA[Since all organizations have web presence today, security of the web
applications is important. There is a variety of attacks (Cross Site
Scripting (XSS), SQL injection, Command Injections, Forced Browsing etc.)
that can be launched against web applications which we need to be aware of.
In this talk, I will cover Cross Site Scripting. I will also cover a
slightly advanced version of XSS, tools you could use to learn more about
XSS, tools that you can use to test your web applications fo...]]></description>
  <dc:date>2009-04-01</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/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/103/Automatic-Interpretation-of-Log-Files">
  <title><![CDATA[Automatic Interpretation of Log Files]]></title>
  <link>http://ebiquity.umbc.edu/project/html/id/103/Automatic-Interpretation-of-Log-Files</link>
  <description><![CDATA[Log files comprise of different events happening in various applications, operating systems and even in network devices. Originally they were used to record information for diagnostic and debugging purposes. Nowadays, logs are also used to track events which can be used in auditing and forensics in case of malicious activities or systems attacks. Various softwares like intrusion detection systems, webservers, anti-virus and anti-malware systems, firewalls and network devices generate logs wit...]]></description>
  <dc:date>2013-08-01</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/project/html/id/104/Automatic-Interpretation-of-Log-Files">
  <title><![CDATA[Automatic Interpretation of Log Files]]></title>
  <link>http://ebiquity.umbc.edu/project/html/id/104/Automatic-Interpretation-of-Log-Files</link>
  <description><![CDATA[Log files comprise of different events happening in various applications, operating systems and even in network devices. Originally they were used to record information for diagnostic and debugging purposes. Nowadays, logs are also used to track events which can be used in auditing and forensics in case of malicious activities or systems attacks. Various softwares like intrusion detection systems, webservers, anti-virus and anti-malware systems, firewalls and network devices generate logs wit...]]></description>
  <dc:date>2013-08-01</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/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/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/984/A-Simulator-for-Human-Robot-Interaction-in-Virtual-Reality">
  <title><![CDATA[A Simulator for Human-Robot Interaction in Virtual Reality]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/984/A-Simulator-for-Human-Robot-Interaction-in-Virtual-Reality</link>
  <description><![CDATA[We present a suite of tools to model a robot, its sensors, and the surrounding environment in VR, with the goal of collecting training data for real-world robots. The virtual robot observes a rigged avatar created in our photogrammetry facility and embodying a VR user.  We are particularly interested in verbal human/robot interactions, which can be combined with the robot’s sensor data for grounded language learning. Because virtual scenes, tasks, and robots are easily reconfigured compared...]]></description>
  <dc:date>2021-03-27</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/paper/html/id/828/Using-Deep-Neural-Networks-to-Translate-Multi-lingual-Threat-Intelligence">
  <title><![CDATA[Using Deep Neural Networks to Translate Multi-lingual Threat Intelligence]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/828/Using-Deep-Neural-Networks-to-Translate-Multi-lingual-Threat-Intelligence</link>
  <description><![CDATA[The multilingual nature of the Internet increases complications in the cybersecurity community's ongoing efforts to strategically mine threat intelligence from OSINT data on the web. OSINT sources such as social media, blogs, and dark web vulnerability markets exist in diverse languages and hinder security analysts, who are unable to draw conclusions from intelligence in languages they don't understand. Although third party translation engines are growing stronger, they are unsuited for priva...]]></description>
  <dc:date>2018-11-10</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/839/Understanding-Multi-lingual-Threat-Intelligence-for-AI-based-Cyber-defense-Systems">
  <title><![CDATA[Understanding Multi-lingual Threat Intelligence for AI based Cyber-defense Systems]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/839/Understanding-Multi-lingual-Threat-Intelligence-for-AI-based-Cyber-defense-Systems</link>
  <description><![CDATA[Information across political, cultural, and geographical boundaries is widely communicated over a global Internet.
Today we have a multilingual Internet where people converse in languages like English, Mandarin, Russian,
Hindi, etc. Cyber threats in particular, originate from and are mitigated over a broad range of geographic
regions. Although cybersecurity web data is vastly available on the web, it is disparate among major natural
languages, decreasing interoperability on a multilingual...]]></description>
  <dc:date>2018-10-23</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/915/Deep-Representation-of-Lyrical-Style-and-Semantics-for-Music-Recommendation">
  <title><![CDATA[Deep Representation of Lyrical Style and Semantics for Music Recommendation]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/915/Deep-Representation-of-Lyrical-Style-and-Semantics-for-Music-Recommendation</link>
  <description><![CDATA[In an increasingly mobile and connected world, digital music consumption has rapidly increased. More recently, faster and cheaper mobile bandwidth has given the average mobile user the potential to access large troves of music through streaming services like Spotify and Google Music that boast catalogs with tens of millions of songs. At this scale, effective music recommendation is an important part of user experience and music discovery. Collaborative filtering (CF), a popular technique used...]]></description>
  <dc:date>2017-05-01</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/749/Semantic-Interpretation-of-Structured-Log-Files">
  <title><![CDATA[Semantic Interpretation of Structured Log Files]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/749/Semantic-Interpretation-of-Structured-Log-Files</link>
  <description><![CDATA[Data from computer log files record traces of events involving user activity, applications, system software and network traffic. Logs are usually intended for diagnostic and debugging purposes, but their data can be extremely useful in system audits and forensic investigations. Logs created by intrusion detection systems, web servers, anti-virus and anti-malware systems, firewalls and network devices have information that can reconstruct the activities of malware or a malicious agent, help pl...]]></description>
  <dc:date>2016-07-28</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/721/Semantic-Interpretation-of-Structured-Log-Files">
  <title><![CDATA[Semantic Interpretation of Structured Log Files]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/721/Semantic-Interpretation-of-Structured-Log-Files</link>
  <description><![CDATA[Log files comprise a record of different events happening in various applications, operating systems and even in network devices. Originally they were used to record in- formation for diagnostic and debugging purposes. Nowadays, logs are also used to track events which can be used in auditing and forensics in case of malicious activities or sys- tems attacks. Various softwares like intrusion detection systems, webservers, anti-virus and anti-malware systems, firewalls and network devices gene...]]></description>
  <dc:date>2015-08-01</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>2026-10-05</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>2026-10-05</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/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/359/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/resource/html/id/359/Extracting-Cybersecurity-related-entities-terms-and-concepts-from-text-</link>
  <description><![CDATA[MS Thesis Presentation

Securing computers, data, cyber-physical systems and networks is a growing problem as society's dependence on them increases while they remain vulnerable to attacks by both criminals and rival nation states. Creating 'situationally aware' computer systems that defend against new "zero day" 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 tex...]]></description>
  <dc:date>2013-05-30</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/175/Increasing-Research-Visibility-on-the-Web">
  <title><![CDATA[Increasing Research Visibility on the Web]]></title>
  <link>http://ebiquity.umbc.edu/resource/html/id/175/Increasing-Research-Visibility-on-the-Web</link>
  <description><![CDATA[Researchers should develop a presence on the Web to make their work more visible.  This presentation touches on some of the best practices and also a few or the worst. topics include web pages, blogs, putting papers on the Web, and search engine optimization.]]></description>
  <dc:date>2006-04-26</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/resource/html/id/191/Memeta-A-Framework-for-Multi-Relational-Analytics-on-the-Blogosphere">
  <title><![CDATA[Memeta: A Framework for Multi-Relational Analytics on the Blogosphere]]></title>
  <link>http://ebiquity.umbc.edu/resource/html/id/191/Memeta-A-Framework-for-Multi-Relational-Analytics-on-the-Blogosphere</link>
  <description><![CDATA[The 'memeta' project is developing a framework for studying the structure and content of the blogosphere. We are particularly interested in how metadata about blogs can be discovered, extracted and computed, and how this metadata can be modeled, represented and analyzed to provide new blog related services.

(AAAI-06 Poster)]]></description>
  <dc:date>2006-07-19</dc:date>
 </item>
</rdf:RDF>
