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	This ontology document is licensed under the Creative Commons
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  <title><![CDATA[UMBC ebiquity RSS Tag Search]]></title>
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      <rdf:li resource="http://ebiquity.umbc.edu/event/html/id/478/Topic-Modeling-for-RDF-Graphs"/>
      <rdf:li resource="http://ebiquity.umbc.edu/event/html/id/412/Beyond-Reactive-Management-of-Network-Intrusions"/>
      <rdf:li resource="http://ebiquity.umbc.edu/event/html/id/368/Text-Based-Similarity-Metrics-and-Deltas-for-Semantic-Web-Graphs"/>
      <rdf:li resource="http://ebiquity.umbc.edu/event/html/id/354/Wikitology-A-Novel-Hybrid-Knowledge-Base-Derived-from-Wikipedia"/>
      <rdf:li resource="http://ebiquity.umbc.edu/event/html/id/350/Text-Based-Similarity-Metrics-and-Delta-for-Semantic-Web-Graphs"/>
      <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/265/Mining-Social-Media-Communities-and-Content"/>
      <rdf:li resource="http://ebiquity.umbc.edu/event/html/id/251/Communities-in-Social-Media-Reflections-on-Semantics-Intention-and-Influence"/>
      <rdf:li resource="http://ebiquity.umbc.edu/event/html/id/221/Wikipedia-as-an-ontology-for-describing-documents"/>
      <rdf:li resource="http://ebiquity.umbc.edu/event/html/id/220/Streaming-Knowledge-Bases"/>
      <rdf:li resource="http://ebiquity.umbc.edu/project/html/id/110/Medical-Data-Polygraph"/>
      <rdf:li resource="http://ebiquity.umbc.edu/project/html/id/112/Online-Health-Information"/>
      <rdf:li resource="http://ebiquity.umbc.edu/project/html/id/82/RDF123"/>
      <rdf:li resource="http://ebiquity.umbc.edu/project/html/id/96/Tables-to-Linked-Data"/>
      <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/1217/Deontic-Knowledge-Graphs-for-Privacy-Compliance-in-Multimodal-Disaster-Data-Sharing"/>
      <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/1210/Security-Compliance-for-Smart-Manufacturing-using-Knowledgegraph-based-Digital-Twin"/>
      <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/1200/Automating-IoT-Data-Privacy-Compliance-by-Integrating-Knowledge-Graphs-With-Large-Language-Models"/>
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      <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/1193/Real-Time-Detection-of-Online-Health-Misinformation-using-an-Integrated-Knowledgegraph-LLM-Approach"/>
      <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/1174/Comparison-of-attribute-based-encryption-schemes-in-securing-healthcare-systems"/>
      <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/1169/Enhancing-Knowledge-Graph-Consistency-through-Open-Large-Language-Models-A-Case-Study"/>
      <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/1148/SAGEViz-SchemA-GEneration-and-Visualization"/>
      <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/1071/Knowledge-Graph-driven-Tabular-Data-Discovery-from-Scientific-Documents"/>
      <rdf:li resource="http://ebiquity.umbc.edu/research/area/id/39/knowledge-graphs"/>
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      <rdf:li resource="http://ebiquity.umbc.edu/resource/html/id/238/RDF-Web-service-v1-0-java-servlet-"/>
      <rdf:li resource="http://ebiquity.umbc.edu/resource/html/id/237/RDF123-java-application-v1-0"/>
      <rdf:li resource="http://ebiquity.umbc.edu/resource/html/id/236/RDF123-linux-application-v1-0-With-Java-VM-self-contained-"/>
      <rdf:li resource="http://ebiquity.umbc.edu/resource/html/id/233/RDF123-presentation"/>
      <rdf:li resource="http://ebiquity.umbc.edu/resource/html/id/228/RDF123-windows-application-v1-0-With-Java-VM-self-contained-"/>
      <rdf:li resource="http://ebiquity.umbc.edu/resource/html/id/381/Semantic-Knowledge-Graphs-for-Cybersecurity"/>
      <rdf:li resource="http://ebiquity.umbc.edu/resource/html/id/392/Sixty-years-of-knowledge-graphs-for-language-understanding"/>
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 <item rdf:about="http://ebiquity.umbc.edu/event/html/id/478/Topic-Modeling-for-RDF-Graphs">
  <title><![CDATA[Topic Modeling for RDF Graphs]]></title>
  <link>http://ebiquity.umbc.edu/event/html/id/478/Topic-Modeling-for-RDF-Graphs</link>
  <description><![CDATA[Topic models are widely used to thematically describe a collection of
text documents and have become an important technique for systems that
measure document similarity for classification, clustering,
segmentation, entity linking and more.  While they have been applied
to some non-text domains, their use for semi-structured graph data,
such as RDF, has been less explored.  We present a framework for
applying topic modeling to RDF graph data and describe how it can be
used in a number o...]]></description>
  <dc:date>2015-09-21</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/event/html/id/412/Beyond-Reactive-Management-of-Network-Intrusions">
  <title><![CDATA[Beyond Reactive Management of Network Intrusions]]></title>
  <link>http://ebiquity.umbc.edu/event/html/id/412/Beyond-Reactive-Management-of-Network-Intrusions</link>
  <description><![CDATA[This talk will discuss issues and methods for survivability of systems under malicious attacks. To protect from such attacks, it is necessary to take steps to prevent attacks from succeeding. At the same time, it is important to recognize that not all attacks can be averted at the outset; attacks that are successful to some degree must be recognized as unavoidable and comprehensive support for identifying and responding to attacks is required.

In my talk, I will describe the recent researc...]]></description>
  <dc:date>2011-10-12</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/event/html/id/368/Text-Based-Similarity-Metrics-and-Deltas-for-Semantic-Web-Graphs">
  <title><![CDATA[Text Based Similarity Metrics and Deltas for Semantic Web Graphs]]></title>
  <link>http://ebiquity.umbc.edu/event/html/id/368/Text-Based-Similarity-Metrics-and-Deltas-for-Semantic-Web-Graphs</link>
  <description><![CDATA[Recognizing that two Semantic Web documents or graphs are similar and characterizing their differences is useful in many tasks, including retrieval, updating, version control and knowledge base editing. I will describe several text-based similarity metrics that characterize the relation between Semantic Web graphs and evaluate these metrics for three specific cases of similarity: similarity in classes and properties, similarity disregarding differences in base-URIs, and versioning relationshi...]]></description>
  <dc:date>2010-10-05</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/event/html/id/354/Wikitology-A-Novel-Hybrid-Knowledge-Base-Derived-from-Wikipedia">
  <title><![CDATA[Wikitology: A Novel Hybrid Knowledge Base Derived from Wikipedia]]></title>
  <link>http://ebiquity.umbc.edu/event/html/id/354/Wikitology-A-Novel-Hybrid-Knowledge-Base-Derived-from-Wikipedia</link>
  <description><![CDATA[PhD Defense

World knowledge may be available in different forms such as
relational databases, triple stores, link graphs, meta-data and
free text. Human minds are capable of understanding and
reasoning over knowledge represented in different ways and are
influenced by social, contextual and environmental factors. By
following a similar model, we have integrated a variety of
knowledge sources in a novel way to produce a single hybrid
knowledge base, Wikitology, enabling applications ...]]></description>
  <dc:date>2010-07-19</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/event/html/id/350/Text-Based-Similarity-Metrics-and-Delta-for-Semantic-Web-Graphs">
  <title><![CDATA[Text Based Similarity Metrics and Delta for Semantic Web Graphs]]></title>
  <link>http://ebiquity.umbc.edu/event/html/id/350/Text-Based-Similarity-Metrics-and-Delta-for-Semantic-Web-Graphs</link>
  <description><![CDATA[Recognizing that two semantic web documents or graphs are similar, and
characterizing their differences is useful in many tasks, including
retrieval, updating, version control and knowledge base editing.  We
describe a number of text based similarity metrics that characterize
the relation between semantic web graphs and evaluate these metrics
for three specific cases of similarity that we have identified:
similarity in classes and properties used while differing only in
literal content...]]></description>
  <dc:date>2010-06-28</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/265/Mining-Social-Media-Communities-and-Content">
  <title><![CDATA[Mining Social Media Communities and Content]]></title>
  <link>http://ebiquity.umbc.edu/event/html/id/265/Mining-Social-Media-Communities-and-Content</link>
  <description><![CDATA[Ph.D. Dissertation Defense


Social Media is changing the way we find information, share knowledge and
communicate with each other. The important factor contributing to the growth
of these technologies is the ability to easily produce "user-generated
content". Blogs, Twitter, Wikipedia, Flickr and YouTube are just a few
examples of Web 2.0 tools that are drastically changing the Internet landscape
today. These platforms allow users to produce, annotate and share information
with thei...]]></description>
  <dc:date>2008-10-16</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/event/html/id/251/Communities-in-Social-Media-Reflections-on-Semantics-Intention-and-Influence">
  <title><![CDATA[Communities in Social Media: Reflections on Semantics, Intention and Influence]]></title>
  <link>http://ebiquity.umbc.edu/event/html/id/251/Communities-in-Social-Media-Reflections-on-Semantics-Intention-and-Influence</link>
  <description><![CDATA[Communities are central to online social media systems and detecting
their structure and membership is critical for many applications. A
community in real world is represented in a graph as a set of nodes
that are more closely related to one another than the rest of the
network. In social media, a community could be a set of blogs that are
topically related, a group of friends connected via Live Spaces or
even a set of users who share similar tags in their social bookmarks.
Graph struc...]]></description>
  <dc:date>2008-08-28</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/event/html/id/221/Wikipedia-as-an-ontology-for-describing-documents">
  <title><![CDATA[Wikipedia as an ontology for describing documents]]></title>
  <link>http://ebiquity.umbc.edu/event/html/id/221/Wikipedia-as-an-ontology-for-describing-documents</link>
  <description><![CDATA[Identifying the topics and concepts associated with a
document or collection of documents is a common task for
many applications.  It can help in the annotation and
categorization of documents in a corpus. Knowing the topics
of documents a user has selected and viewed on the Web or
from a collection can be used to model the user's current
topical interests for improving search results, business
intelligence or selecting appropriate advertisements.

We are exploring the idea of using ...]]></description>
  <dc:date>2007-10-29</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/event/html/id/220/Streaming-Knowledge-Bases">
  <title><![CDATA[Streaming Knowledge Bases]]></title>
  <link>http://ebiquity.umbc.edu/event/html/id/220/Streaming-Knowledge-Bases</link>
  <description><![CDATA[A knowledge base can be thought of as a special kind of database for knowledge management.
It provides the means for computerized collection, organization and retrieval
of knowledge. Due to growth in deployment of sensors, we encounter many scenarios
where data is constantly flowing between sensors and applications. The volume of data
produced is large, so is the rate of the data-flow. In such scenarios, knowledge extraction
boils down to finding useful information i.e. detecting events ...]]></description>
  <dc:date>2007-08-29</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/project/html/id/110/Medical-Data-Polygraph">
  <title><![CDATA[Medical Data Polygraph]]></title>
  <link>http://ebiquity.umbc.edu/project/html/id/110/Medical-Data-Polygraph</link>
  <description><![CDATA[Healthcare organizations exchange sensitive health records, including behavioral health data, across peer-to-peer networks, and it is challenging to find and fix compliance issues proactively.

The Healthcare industry anticipates a growing need to audit substance use disorder patient data, commonly referred to as Part 2 data, having been shared without a release of information signed by the patient. To address this need, we developed and evaluated a novel methodology to detect Part 2 data e...]]></description>
  <dc:date>2022-01-01</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/project/html/id/112/Online-Health-Information">
  <title><![CDATA[Online Health Information]]></title>
  <link>http://ebiquity.umbc.edu/project/html/id/112/Online-Health-Information</link>
  <description><![CDATA[The rise of social media platforms as Online Health Information Sources (OHIS) has increased the spread of health misinformation in cyberspace. The rapid dissemination of false or misleading health information, particularly in public health, can have severe consequences. Misinformation not only endangers public health but also poses significant cybersecurity risks, including eroding trust in credible sources, enabling phishing attacks, and heightening the impact of cyber threats during crises...]]></description>
  <dc:date>2024-01-13</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/project/html/id/82/RDF123">
  <title><![CDATA[RDF123]]></title>
  <link>http://ebiquity.umbc.edu/project/html/id/82/RDF123</link>
  <description><![CDATA[RDF123 is an application and web service for converting data in simple spreadsheets to an RDF graph.  Users control how the spreadsheet's data is converted to RDF by constructing a graphical RDF123 template that specifies how each row in the spreadsheet is converted as well as metadata for the spreadsheet and its RDF translation.  The template can map spreadsheet cells to a new RDF node or to a literal value. Labels on the nodes in the map can be used to create blank nodes or labeled nodes, a...]]></description>
  <dc:date>2007-04-01</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/project/html/id/96/Tables-to-Linked-Data">
  <title><![CDATA[Tables to Linked Data]]></title>
  <link>http://ebiquity.umbc.edu/project/html/id/96/Tables-to-Linked-Data</link>
  <description><![CDATA[Vast amounts of information is encoded in tables found in documents, on the Web, and in spreadsheets or databases. Integrating or searching over this information benefits from understanding its intended meaning and making it explicit in a semantic representation language like RDF. Most current approaches to generating Semantic Web representations from tables requires human input to create schemas and often results in graphs that do not follow best practices for linked data. Evidence for a tab...]]></description>
  <dc:date>2010-09-01</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/1217/Deontic-Knowledge-Graphs-for-Privacy-Compliance-in-Multimodal-Disaster-Data-Sharing">
  <title><![CDATA[Deontic Knowledge Graphs for Privacy Compliance in Multimodal Disaster Data Sharing]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/1217/Deontic-Knowledge-Graphs-for-Privacy-Compliance-in-Multimodal-Disaster-Data-Sharing</link>
  <description><![CDATA[Disaster response requires sharing heterogeneous artifacts, from tabular assistance records to UAS imagery, under overlapping privacy mandates. Operational systems often reduce compliance to binary access control, which is brittle in time-critical workflows. We present a novel deontic knowledge graph-based framework that integrates a Disaster Management Knowledge Graph (DKG) with a Policy Knowledge Graph (PKG) derived from IoT-Reg and FEMA/DHS privacy drivers. Our release decision function su...]]></description>
  <dc:date>2026-01-07</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/1210/Security-Compliance-for-Smart-Manufacturing-using-Knowledgegraph-based-Digital-Twin">
  <title><![CDATA[Security Compliance for Smart Manufacturing using Knowledgegraph based Digital Twin]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/1210/Security-Compliance-for-Smart-Manufacturing-using-Knowledgegraph-based-Digital-Twin</link>
  <description><![CDATA[The combination of Information Technology (IT) and Operational Technology (OT) in smart manufacturing, driven by smart factory innovations and Internet of Things (IoT) devices, generates vast, diverse, and rapidly evolving Big Data, which in turn increases cybersecurity and compliance issues. Adherence to security standards, such as NIST SP 800-171, which requires rigorous access control and audit reporting, is currently obstructed by the resource-intensive and error-prone aspects of manual e...]]></description>
  <dc:date>2025-12-11</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/1200/Automating-IoT-Data-Privacy-Compliance-by-Integrating-Knowledge-Graphs-With-Large-Language-Models">
  <title><![CDATA[Automating IoT Data Privacy Compliance by Integrating Knowledge Graphs With Large Language Models]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/1200/Automating-IoT-Data-Privacy-Compliance-by-Integrating-Knowledge-Graphs-With-Large-Language-Models</link>
  <description><![CDATA[Regulatory compliance is mandatory for Internet of Things (IoT) manufacturers, particularly under stringent frameworks such as the General Data Protection Regulation (GDPR), which governs the handling of personal data. We introduce a novel framework for automating IoT compliance verification by integrating a Large Language Model (LLM) with a domain-specific Knowledge Graph (KG). The framework achieves two primary objectives: 1) leveraging the LLM to interpret natural-language compliance queri...]]></description>
  <dc:date>2025-07-25</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/1191/Integrating-Knowledge-Graphs-with-Retrieval-Augmented-Generation-to-Automate-IoT-Device-Security-Compliance">
  <title><![CDATA[Integrating Knowledge Graphs with Retrieval-Augmented Generation to Automate IoT Device Security Compliance]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/1191/Integrating-Knowledge-Graphs-with-Retrieval-Augmented-Generation-to-Automate-IoT-Device-Security-Compliance</link>
  <description><![CDATA[As IoT device adoption grows, ensuring cybersecurity compliance with IoT standards, like National Institute of Standards and Technology Interagency (NISTIR) 8259A, has become increasingly complex. These standards are typically presented in lengthy, text-based formats that are difficult to process and query automatically. We built a knowledge graph to address this challenge to represent the key concepts, relationships, and references within NISTIR 8259A. We further integrate this knowledge gra...]]></description>
  <dc:date>2025-07-14</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/1193/Real-Time-Detection-of-Online-Health-Misinformation-using-an-Integrated-Knowledgegraph-LLM-Approach">
  <title><![CDATA[Real-Time Detection of Online Health Misinformation using an Integrated Knowledgegraph-LLM Approach]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/1193/Real-Time-Detection-of-Online-Health-Misinformation-using-an-Integrated-Knowledgegraph-LLM-Approach</link>
  <description><![CDATA[Winner of Best Student Paper Award 
The dramatic surge of health misinformation on social media platforms poses a significant threat to public health, contributing to hesitancy in vaccines, delayed medical interventions, and the adoption of untested or harmful treatments. We present a novel, hybrid AI-driven framework designed for the real-time detection of health misinformation on social media platforms while prioritizing user privacy. The framework integrates the strengths of Large Langua...]]></description>
  <dc:date>2025-07-11</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/1174/Comparison-of-attribute-based-encryption-schemes-in-securing-healthcare-systems">
  <title><![CDATA[Comparison of attribute‑based encryption schemes in securing healthcare systems]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/1174/Comparison-of-attribute-based-encryption-schemes-in-securing-healthcare-systems</link>
  <description><![CDATA[E-health has become a top priority for healthcare organizations focused on advancing healthcare
services. Thus, medical organizations have been widely adopting cloud services, resulting in the
effective storage of sensitive data. To prevent privacy and security issues associated with the data,
attribute-based encryption (ABE) has been a popular choice for encrypting private data. Likewise,
the attribute-based access control (ABAC) technique has been widely adopted for controlling data
ac...]]></description>
  <dc:date>2024-03-26</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/1169/Enhancing-Knowledge-Graph-Consistency-through-Open-Large-Language-Models-A-Case-Study">
  <title><![CDATA[Enhancing Knowledge Graph Consistency through Open Large Language Models: A Case Study]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/1169/Enhancing-Knowledge-Graph-Consistency-through-Open-Large-Language-Models-A-Case-Study</link>
  <description><![CDATA[High-quality knowledge graphs (KGs) play a crucial role in many applications. However, KGs created by automated information extraction systems can suffer from erroneous extractions or be inconsistent with provenance/source text. It is important to identify and correct such problems. In this paper, we study leveraging the emergent reasoning capabilities of large language models (LLMs) to detect inconsistencies between extracted facts and their provenance. With a focus on “open” LLMs that c...]]></description>
  <dc:date>2024-03-25</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/1148/SAGEViz-SchemA-GEneration-and-Visualization">
  <title><![CDATA[SAGEViz: SchemA GEneration and Visualization]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/1148/SAGEViz-SchemA-GEneration-and-Visualization</link>
  <description><![CDATA[Schema induction involves creating a graph representation depicting how events unfold in a scenario. We present SAGEViz, an intuitive and modular tool that utilizes human-AI collaboration to create and update complex schema graphs efficiently, where multiple annotators (humans and models) can work simultaneously on a schema graph from any domain. The tool consists of two components: (1) a curation component powered by plug-and-play event language models to create and expand event sequences wh...]]></description>
  <dc:date>2023-12-01</dc:date>
 </item>
 <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/1071/Knowledge-Graph-driven-Tabular-Data-Discovery-from-Scientific-Documents">
  <title><![CDATA[Knowledge Graph-driven Tabular Data Discovery from Scientific Documents]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/1071/Knowledge-Graph-driven-Tabular-Data-Discovery-from-Scientific-Documents</link>
  <description><![CDATA[Synthesizing information from collections of tables embedded within scientific and technical documents is increasingly critical to emerging knowledge-driven applications. Given their structural heterogeneity, highly domain-specific content, and diffuse context, inferring a precise semantic understanding of such tables is traditionally better accomplished through linking tabular content to concepts and entities in reference knowledge graphs. However, existing tabular data discovery systems are...]]></description>
  <dc:date>2023-09-01</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/research/area/id/39/knowledge-graphs">
  <title><![CDATA[knowledge graphs]]></title>
  <link>http://ebiquity.umbc.edu/research/area/id/39/knowledge-graphs</link>
  <dc:date>2026-07-15</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/222/Generative-Model-To-Construct-Blog-and-Post-Networks-In-Blogosphere-Masters-Thesis-Presentation-">
  <title><![CDATA[Generative Model To Construct Blog and Post Networks In Blogosphere (Masters Thesis Presentation)]]></title>
  <link>http://ebiquity.umbc.edu/resource/html/id/222/Generative-Model-To-Construct-Blog-and-Post-Networks-In-Blogosphere-Masters-Thesis-Presentation-</link>
  <description><![CDATA[Web graphs have been very useful in the structural and statistical analysis of the web.
Various models have been proposed to simulate web graphs that generate degree distributions similar to the web. Real world blog networks resemble many properties of web graphs. But the dynamic nature of the blogosphere and the link structure evolving due to
blog readership and social interactions is not well expressed by the existing models.

In this research we propose a model for a blogger to constru...]]></description>
  <dc:date>2007-05-01</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/resource/html/id/221/Generative-Model-To-Construct-Blog-and-Post-Networks-In-Blogosphere-Poster-">
  <title><![CDATA[Generative Model To Construct Blog and Post Networks In Blogosphere (Poster)]]></title>
  <link>http://ebiquity.umbc.edu/resource/html/id/221/Generative-Model-To-Construct-Blog-and-Post-Networks-In-Blogosphere-Poster-</link>
  <description><![CDATA[Web graphs have been very useful in the structural and statistical analysis of the web.
Various models have been proposed to simulate web graphs that generate degree distributions
similar to the web. Real world blog networks resemble many properties of web
graphs. But the dynamic nature of the blogosphere and the link structure evolving due to
blog readership and social interactions is not well expressed by the existing models.
In this research we propose a model for a blogger to constru...]]></description>
  <dc:date>2007-05-01</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/resource/html/id/238/RDF-Web-service-v1-0-java-servlet-">
  <title><![CDATA[RDF Web service v1.0 (java servlet)]]></title>
  <link>http://ebiquity.umbc.edu/resource/html/id/238/RDF-Web-service-v1-0-java-servlet-</link>
  <description><![CDATA[RDF123 is an application and web service for converting data in simple spreadsheets to an RDF graph.  The spreadsheets must consist of a single table with or without header rows.  Users control how the spreadsheet's data is converted to RDF by constructing a graphical RDF123 template that specifies how each row in the spreadsheet is converted as well as metadata for the spreadsheet and its RDF translation.  The template can map a spreadsheet cell to a new RDF node or to a literal value. Label...]]></description>
  <dc:date>2007-08-07</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/resource/html/id/237/RDF123-java-application-v1-0">
  <title><![CDATA[RDF123 java application v1.0]]></title>
  <link>http://ebiquity.umbc.edu/resource/html/id/237/RDF123-java-application-v1-0</link>
  <description><![CDATA[RDF123 is an application and web service for converting data in simple spreadsheets to an RDF graph.  The spreadsheets must consist of a single table with or without header rows.  Users control how the spreadsheet's data is converted to RDF by constructing a graphical RDF123 template that specifies how each row in the spreadsheet is converted as well as metadata for the spreadsheet and its RDF translation.  The template can map a spreadsheet cell to a new RDF node or to a literal value. Label...]]></description>
  <dc:date>2007-08-07</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/resource/html/id/236/RDF123-linux-application-v1-0-With-Java-VM-self-contained-">
  <title><![CDATA[RDF123 linux application v1.0 (With Java VM self-contained)]]></title>
  <link>http://ebiquity.umbc.edu/resource/html/id/236/RDF123-linux-application-v1-0-With-Java-VM-self-contained-</link>
  <description><![CDATA[RDF123 is an application and web service for converting data in simple spreadsheets to an RDF graph.  The spreadsheets must consist of a single table with or without header rows.  Users control how the spreadsheet's data is converted to RDF by constructing a graphical RDF123 template that specifies how each row in the spreadsheet is converted as well as metadata for the spreadsheet and its RDF translation.  The template can map a spreadsheet cell to a new RDF node or to a literal value. Label...]]></description>
  <dc:date>2007-08-07</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/resource/html/id/233/RDF123-presentation">
  <title><![CDATA[RDF123 presentation]]></title>
  <link>http://ebiquity.umbc.edu/resource/html/id/233/RDF123-presentation</link>
  <description><![CDATA[RDF123 is an application and web service for converting data in simple spreadsheets to an RDF graph. The spreadsheets must consist of a single table with or without header rows. Users control how the spreadsheet's data is converted to RDF by constructing a graphical RDF123 template that specifies how each row in the spreadsheet is converted as well as metadata for the spreadsheet and its RDF translation. The template can map a spreadsheet cell to a new RDF node or to a literal value. Labels o...]]></description>
  <dc:date>2007-07-10</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/resource/html/id/228/RDF123-windows-application-v1-0-With-Java-VM-self-contained-">
  <title><![CDATA[RDF123 windows application v1.0 (With Java VM self-contained)]]></title>
  <link>http://ebiquity.umbc.edu/resource/html/id/228/RDF123-windows-application-v1-0-With-Java-VM-self-contained-</link>
  <description><![CDATA[RDF123 is an application and web service for converting data in simple spreadsheets to an RDF graph.  The spreadsheets must consist of a single table with or without header rows.  Users control how the spreadsheet's data is converted to RDF by constructing a graphical RDF123 template that specifies how each row in the spreadsheet is converted as well as metadata for the spreadsheet and its RDF translation.  The template can map a spreadsheet cell to a new RDF node or to a literal value. Label...]]></description>
  <dc:date>2007-08-08</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/resource/html/id/381/Semantic-Knowledge-Graphs-for-Cybersecurity">
  <title><![CDATA[Semantic Knowledge Graphs for Cybersecurity]]></title>
  <link>http://ebiquity.umbc.edu/resource/html/id/381/Semantic-Knowledge-Graphs-for-Cybersecurity</link>
  <dc:date>2020-06-23</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/resource/html/id/392/Sixty-years-of-knowledge-graphs-for-language-understanding">
  <title><![CDATA[Sixty years of knowledge graphs for language understanding]]></title>
  <link>http://ebiquity.umbc.edu/resource/html/id/392/Sixty-years-of-knowledge-graphs-for-language-understanding</link>
  <description><![CDATA[There is a long history of using structured knowledge of one kind or another to support AI tasks, especially ones involving natural language understanding. Over the years, the names and details have changed, from semantic networks to frames to logic programs to databases to expert systems to knowledge bases to the semantic web and currently to knowledge graphs. However, a common thread is that an organized representation of knowledge that can be queried and evolved is a core component of many...]]></description>
  <dc:date>2019-09-19</dc:date>
 </item>
</rdf:RDF>
