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 <channel rdf:about="http://ebiquity.umbc.edu//tags/html/?t=heterogeneous+data">
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  <title><![CDATA[UMBC ebiquity RSS Tag Search]]></title>
  <link><![CDATA[http://ebiquity.umbc.edu//tags/html/?t=heterogeneous+data]]></link>
  <description><![CDATA[UMBC ebiquity RSS Tag Search for heterogeneous data]]></description>
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      <rdf:li resource="http://ebiquity.umbc.edu/project/html/id/98/Semantic-Situational-Awareness-for-Intrusion-Detection"/>
      <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/1157/Leveraging-semantic-context-to-establish-access-controls-for-secure-cloud-based-electronic-health-records"/>
      <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/1058/Semantically-Rich-Differential-Access-to-Secure-Cloud-EHR"/>
      <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/742/Clinico-genomic-Data-Analytics-for-Precision-Diagnosis-and-Disease-Management"/>
      <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/665/Entity-Type-Recognition-for-Heterogeneous-Semantic-Graphs"/>
      <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/633/Online-unsupervised-coreference-resolution-for-semi-structured-heterogeneous-data"/>
      <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/594/A-Semantic-Approach-to-Situational-Awareness-for-Intrusion-Detection"/>
      <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/586/A-Knowledge-Based-Approach-To-Intrusion-Detection-Modeling"/>
      <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/532/From-Ontology-Selection-and-Semantic-Web-to-an-Integrated-Information-System-for-Food-Borne-Diseases-and-Food-Safety"/>
      <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/228/Applying-Ontologies-and-Semantic-Web-technologies-to-Environmental-Sciences-and-Engineering"/>
      <rdf:li resource="http://ebiquity.umbc.edu/resource/html/id/215/Geospatial-Semantic-Web"/>
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 <item rdf:about="http://ebiquity.umbc.edu/project/html/id/98/Semantic-Situational-Awareness-for-Intrusion-Detection">
  <title><![CDATA[Semantic Situational Awareness for Intrusion Detection]]></title>
  <link>http://ebiquity.umbc.edu/project/html/id/98/Semantic-Situational-Awareness-for-Intrusion-Detection</link>
  <description><![CDATA[We are developing a situation-aware intrusion detection system that integrates heterogeneous sources of information to build and maintain a semantically rich knowledge-base about cyber threats and vulnerabilities.  Most current intrusion detection and prevention systems rely on signature-based approaches to detect attacks. When an attack signature is not available, such as for a new exploit or a significantly modified known one, such systems are much less effective. Moreover, these intrusion ...]]></description>
  <dc:date>2011-01-01</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/1157/Leveraging-semantic-context-to-establish-access-controls-for-secure-cloud-based-electronic-health-records">
  <title><![CDATA[Leveraging semantic context to establish access controls for secure cloud-based electronic health records]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/1157/Leveraging-semantic-context-to-establish-access-controls-for-secure-cloud-based-electronic-health-records</link>
  <description><![CDATA[With the continuous growth of cloud-based Electronic Health Record (EHR) systems and medical data, medical organizations are particularly concerned about storing patient data to provide fast services while adhering to privacy and security concerns. Existing EHR systems often face challenges in handling heterogeneous data and maintaining good performance with data growth. These systems mostly use relational databases or partially store data in a knowledge graph, making it challenging to handle...]]></description>
  <dc:date>2024-04-01</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/1058/Semantically-Rich-Differential-Access-to-Secure-Cloud-EHR">
  <title><![CDATA[Semantically Rich Differential Access to Secure Cloud EHR]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/1058/Semantically-Rich-Differential-Access-to-Secure-Cloud-EHR</link>
  <description><![CDATA[Existing Cloud-based Electronic Health Record (EHR) services face challenges in handling heterogeneous data and maintaining performance with large records since they often use a relational database or only partially store information in a graph database. We have developed a novel approach that allows fine-grained field-level security for Cloud EHRs to protect patient privacy and data security. Our graph-based EHR has been developed by integrating Attribute-based Encryption (ABE) with ontology...]]></description>
  <dc:date>2023-05-08</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 integrates heterogeneous data and knowledge schemas from different cybersecurity systems, as well as 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 the Linked...]]></description>
  <dc:date>2016-02-12</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/742/Clinico-genomic-Data-Analytics-for-Precision-Diagnosis-and-Disease-Management">
  <title><![CDATA[Clinico-genomic Data Analytics for Precision Diagnosis and Disease Management]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/742/Clinico-genomic-Data-Analytics-for-Precision-Diagnosis-and-Disease-Management</link>
  <description><![CDATA[Patient data can be present in clinical notes, lab results, genomic data sources, environmental and geospatial data sources and tissue banks to name a few. A holistic view of the patient's health can be achieved when relevant data from multiple heterogeneous sources are extracted and analyzed in a personalized manner. Moreover, comparative analysis of patients can be performed when multiple patient records are viewed across these heterogeneous data sources. To address this need, we propose cl...]]></description>
  <dc:date>2015-11-30</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/665/Entity-Type-Recognition-for-Heterogeneous-Semantic-Graphs">
  <title><![CDATA[Entity Type Recognition for Heterogeneous Semantic Graphs]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/665/Entity-Type-Recognition-for-Heterogeneous-Semantic-Graphs</link>
  <description><![CDATA[We describe an approach for identifying fine-grained entity types in heterogeneous data graphs that is effective for unstructured data or when the underlying ontologies or semantic schemas are unknown. Identifying fine-grained entity types, rather than a few high-level types, supports coreference resolution in heterogeneous graphs by reducing the number of possible coreference relations that must be considered.  Big Data problems that involve integrating data from multiple sources can benefit...]]></description>
  <dc:date>2015-03-15</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/633/Online-unsupervised-coreference-resolution-for-semi-structured-heterogeneous-data">
  <title><![CDATA[Online unsupervised coreference resolution for semi-structured heterogeneous data]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/633/Online-unsupervised-coreference-resolution-for-semi-structured-heterogeneous-data</link>
  <description><![CDATA[A pair of RDF instances are said to corefer when they are intended to denote the same
thing in the world, for example, when two nodes of type foaf:Person describe the same
individual. This problem is central to integrating and inter-linking semi-structured
datasets. We are developing an online, unsupervised coreference resolution framework
for heterogeneous, semi-structured data. The online aspect requires us to process
new instances as they appear and not as a batch. The instances are h...]]></description>
  <dc:date>2012-11-30</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/594/A-Semantic-Approach-to-Situational-Awareness-for-Intrusion-Detection">
  <title><![CDATA[A Semantic Approach to Situational Awareness for Intrusion Detection]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/594/A-Semantic-Approach-to-Situational-Awareness-for-Intrusion-Detection</link>
  <description><![CDATA[We describe a situation-aware intrusion detection system that integrates heterogeneous sources of information to build and maintain a semantically rich knowledge-base about cyber threats and vulnerabilities.  Most current intrusion detection and prevention systems rely on signature-based approaches to detect attacks. When an attack signature is not available, such as for a new exploit or a significantly modified known one, such systems are much less effective. Moreover, these intrusion detect...]]></description>
  <dc:date>2012-06-11</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/586/A-Knowledge-Based-Approach-To-Intrusion-Detection-Modeling">
  <title><![CDATA[A Knowledge-Based Approach To Intrusion Detection Modeling]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/586/A-Knowledge-Based-Approach-To-Intrusion-Detection-Modeling</link>
  <description><![CDATA[Current state of the art intrusion detection and
prevention systems (IDPS) are signature-based systems that
detect threats and vulnerabilities by cross-referencing the
threat or vulnerability signatures in their databases. These
systems are incapable of taking advantage of heterogeneous
data sources for analysis of system activities for threat detection.
This work presents a situation-aware intrusion detection
model that integrates these heterogeneous data sources and
build a semantic...]]></description>
  <dc:date>2012-05-24</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/532/From-Ontology-Selection-and-Semantic-Web-to-an-Integrated-Information-System-for-Food-Borne-Diseases-and-Food-Safety">
  <title><![CDATA[From Ontology Selection and Semantic Web to an Integrated Information System for Food-Borne Diseases and Food Safety]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/532/From-Ontology-Selection-and-Semantic-Web-to-an-Integrated-Information-System-for-Food-Borne-Diseases-and-Food-Safety</link>
  <description><![CDATA[Several factors have hindered effective use of information and resources related to food safety due to inconsistency among semantically heterogeneous data resources, lack of knowledge on profiling of food-borne pathogens, and knowledge gaps among research communities, government risk assessors/managers, and end users of the information.  This paper discusses technical aspects in the establishment of a comprehensive food safety information system consisting of the following steps: a) computati...]]></description>
  <dc:date>2009-01-01</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/228/Applying-Ontologies-and-Semantic-Web-technologies-to-Environmental-Sciences-and-Engineering">
  <title><![CDATA[Applying Ontologies and Semantic Web technologies to Environmental Sciences and Engineering]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/228/Applying-Ontologies-and-Semantic-Web-technologies-to-Environmental-Sciences-and-Engineering</link>
  <description><![CDATA[The complexity and diversity of knowledge and terminology within environmental sciences and engineering is one of the key obstacles for successful interdisciplinary studies. Relevant data is difficult to locate and retrieve primarily due to varying formats, schemas and semantics. For example, for a typical modeling assignment a researcher needs to acquire knowledge of individual computational models, search, gather and analyze raw data, ensure the high quality of data, transform the data into...]]></description>
  <dc:date>2005-05-06</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/resource/html/id/215/Geospatial-Semantic-Web">
  <title><![CDATA[Geospatial Semantic Web]]></title>
  <link>http://ebiquity.umbc.edu/resource/html/id/215/Geospatial-Semantic-Web</link>
  <description><![CDATA[An introduction to Geospatial Semantic Web technology. An invited talk given by Dr. Harry Chen at UMBC (CMSC 491/691M Spring 2007 Special Topic Course on the Semantic Web). 
This presentation covers key issues related to Geospatial Semantic Web: (1) extracting hidden knowledge from unstructured and structured data, (2) knowledge fusion over heterogeneous data sources, (3) ontology sharing and (4) building user-friendly Semantic Web applications.
 It also describes state-of-the-art technolog...]]></description>
  <dc:date>2007-03-27</dc:date>
 </item>
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