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 <channel rdf:about="http://ebiquity.umbc.edu//tags/html/?t=uco">
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      <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/1073/An-Overview-of-Cybersecurity-Knowledge-Graphs-Mapped-to-the-MITRE-ATT-CK-Framework-Domains"/>
      <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/873/Extracting-Rich-Semantic-Information-about-Cybersecurity-Events"/>
      <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/722/UCO-A-Unified-Cybersecurity-Ontology"/>
      <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/720/Supporting-Situationally-Aware-Cybersecurity-Systems"/>
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 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/1073/An-Overview-of-Cybersecurity-Knowledge-Graphs-Mapped-to-the-MITRE-ATT-CK-Framework-Domains">
  <title><![CDATA[An Overview of Cybersecurity Knowledge Graphs Mapped to the MITRE ATT&CK Framework Domains]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/1073/An-Overview-of-Cybersecurity-Knowledge-Graphs-Mapped-to-the-MITRE-ATT-CK-Framework-Domains</link>
  <description><![CDATA[A large volume of cybersecurity-related data sets
are generated daily from systems following disparate protocols
and standards. It is humanly impossible for cybersecurity experts
to manually sieve through these large data sets, with different
schema and metadata, to determine potential attacks or issues.
A myriad of applications and tool sets are offered to automate
the analysis of large cyber data sets. Semantic Web’s community
has been studying the field of cybersecurity for over a...]]></description>
  <dc:date>2023-10-03</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/873/Extracting-Rich-Semantic-Information-about-Cybersecurity-Events">
  <title><![CDATA[Extracting Rich Semantic Information about Cybersecurity Events]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/873/Extracting-Rich-Semantic-Information-about-Cybersecurity-Events</link>
  <description><![CDATA[Articles about cybersecurity events like data breaches and ransomware attacks are common, both in general news and technical sources.  Automatically extracting structured information from these can provide valuable information to inform both human analysts and computer systems. In this paper we describe how cybersecurity events can be described via semantic schemas, examined through an initial set of five event types. Using a collection of 1,000 news articles annotated with these event types,...]]></description>
  <dc:date>2019-12-12</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/722/UCO-A-Unified-Cybersecurity-Ontology">
  <title><![CDATA[UCO: A Unified Cybersecurity Ontology]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/722/UCO-A-Unified-Cybersecurity-Ontology</link>
  <description><![CDATA[In this paper, we describe the Unified Cybersecurity Ontology (UCO) that is intended to support information integration and cyber situational awareness in cybersecurity systems. The ontology incorporates and integrates heterogeneous data and knowledge schemas from different cybersecurity systems and the most commonly used cybersecurity standards for information sharing and exchange. The UCO ontology has also been mapped to a number of existing cybersecurity ontologies as well as concepts in t...]]></description>
  <dc:date>2016-02-12</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/720/Supporting-Situationally-Aware-Cybersecurity-Systems">
  <title><![CDATA[Supporting Situationally Aware Cybersecurity Systems]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/720/Supporting-Situationally-Aware-Cybersecurity-Systems</link>
  <description><![CDATA[In this report, we describe the Unified Cyber Security ontology (UCO) to support situational awareness in cyber security systems. The ontology is an effort to incorporate
and integrate heterogeneous information available from different cyber security systems and most commonly used cyber security standards for information sharing and exchange. The ontology has also been mapped to a number of existing cyber security
ontologies as well as concepts in the Linked Open Data cloud. Similar to DBpe...]]></description>
  <dc:date>2015-09-30</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/434/A-computerized-approach-to-glycemic-control-in-critical-illness">
  <title><![CDATA[A computerized approach to glycemic control in critical illness]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/434/A-computerized-approach-to-glycemic-control-in-critical-illness</link>
  <description><![CDATA[Background: Hyperglycemia is a known problem in the critical care setting.  Impaired compensatory response to β cells and increased counter-regulatory hormones are thought to stimulate endogenous glucose production and contribute to insulin resistance.  A growing body of evidence advocates strict maintenance of normoglycemia in order to decrease morbidity and mortality.  The American College of Endocrinology recommends a blood glucose upper limit of 110 mg/dL for ICU patients and 180 mg/dL f...]]></description>
  <dc:date>2008-05-30</dc:date>
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