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 <channel rdf:about="http://ebiquity.umbc.edu//tags/html/?t=data+integration">
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  <title><![CDATA[UMBC ebiquity RSS Tag Search]]></title>
  <link><![CDATA[http://ebiquity.umbc.edu//tags/html/?t=data+integration]]></link>
  <description><![CDATA[UMBC ebiquity RSS Tag Search for data integration]]></description>
  <items>
    <rdf:Seq>
      <rdf:li resource="http://ebiquity.umbc.edu/event/html/id/460/Phd-proposal-A-Semantic-Resolution-Framework-for-Manufacturing-Capability-Data-Integration"/>
      <rdf:li resource="http://ebiquity.umbc.edu/event/html/id/406/Citizen-Science-on-the-Social-and-Semantic-Web-PhD-proposal-Joel-Sachs"/>
      <rdf:li resource="http://ebiquity.umbc.edu/event/html/id/360/Using-linked-data-to-interpret-tables"/>
      <rdf:li resource="http://ebiquity.umbc.edu/event/html/id/321/Data-Integration-Using-Correlated-Concepts"/>
      <rdf:li resource="http://ebiquity.umbc.edu/event/html/id/217/Database-Infrastructure-for-the-Semantic-Web"/>
      <rdf:li resource="http://ebiquity.umbc.edu/event/html/id/207/Using-the-Semantic-Web-to-support-knowledge-integration-retrieval-and-expansion-for-ecoinformatics"/>
      <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/1128/Secure-and-Privacy-Compliant-Data-Sharing-An-Essential-Framework-for-Healthcare-Organizations"/>
      <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/810/Discovering-Scientific-Influence-using-Cross-Domain-Dynamic-Topic-Modeling"/>
      <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/768/Dynamic-Topic-Modeling-to-Infer-the-Influence-of-Research-Citations-on-IPCC-Assessment-Reports"/>
      <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/707/The-GeoLink-Modular-Oceanography-Ontology"/>
      <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/705/The-GeoLink-Modular-Oceanography-Ontology"/>
      <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/689/Ontology-Pattern-Modeling-for-Cross-Repository-Data-Integration-in-the-Ocean-Sciences-The-Oceanographic-Cruise-Example"/>
      <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/473/owl-sameAs-and-Linked-Data-An-Empirical-Study"/>
      <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/605/Data-Integration-for-E-Science-Using-Correlated-Concepts"/>
      <rdf:li resource="http://ebiquity.umbc.edu/resource/html/id/307/Using-linked-data-to-interpret-tables"/>
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 <item rdf:about="http://ebiquity.umbc.edu/event/html/id/460/Phd-proposal-A-Semantic-Resolution-Framework-for-Manufacturing-Capability-Data-Integration">
  <title><![CDATA[Phd proposal: A Semantic Resolution Framework for Manufacturing Capability Data Integration]]></title>
  <link>http://ebiquity.umbc.edu/event/html/id/460/Phd-proposal-A-Semantic-Resolution-Framework-for-Manufacturing-Capability-Data-Integration</link>
  <description><![CDATA[Building flexible manufacturing supply chains requires interoperable and accurate manufacturing service capability (MSC) information of all supply chain participants. Today, MSC information, which is typically published either on the supplier’s web site or registered at an e-marketplace portal, has been shown to fall short of the interoperability and accuracy requirements. This issue can be addressed by annotating the MSC information using shared ontologies. However, ontology-based approach...]]></description>
  <dc:date>2013-05-14</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/event/html/id/406/Citizen-Science-on-the-Social-and-Semantic-Web-PhD-proposal-Joel-Sachs">
  <title><![CDATA[Citizen Science on the Social and Semantic Web, PhD proposal, Joel Sachs]]></title>
  <link>http://ebiquity.umbc.edu/event/html/id/406/Citizen-Science-on-the-Social-and-Semantic-Web-PhD-proposal-Joel-Sachs</link>
  <description><![CDATA[Ph.D. Dissertation Proposal

A question faced by semantic web developers is how much explicit semantics to include in their ontologies. A typical answer is that it depends on the use case, since different use cases demand different thicknesses for the semantic layer. This suggest several questions, including: What types of patterns in the rdf graph make a semantic layer &quot;thick&quot; or &quot;thin&quot;? What does it mean for an ontology to support a use case? and Can we create ontologi...]]></description>
  <dc:date>2011-09-09</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/event/html/id/360/Using-linked-data-to-interpret-tables">
  <title><![CDATA[Using linked data to interpret tables]]></title>
  <link>http://ebiquity.umbc.edu/event/html/id/360/Using-linked-data-to-interpret-tables</link>
  <description><![CDATA[Vast amount of information is available in structured forms like spreadsheets, database relations, and tables found in documents and on the Web. In today’s talk I will describe an approach that uses linked data to interpret such tables and associate their components with nodes in a reference linked data collection. Our proposed framework assigns a class (i.e. type) to table columns, links table cells to entities, and inferred relations between columns to properties. The resulting interpreta...]]></description>
  <dc:date>2010-09-14</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/event/html/id/321/Data-Integration-Using-Correlated-Concepts">
  <title><![CDATA[Data Integration Using Correlated Concepts]]></title>
  <link>http://ebiquity.umbc.edu/event/html/id/321/Data-Integration-Using-Correlated-Concepts</link>
  <description><![CDATA[Lushan Han will talk about "Data Integration Using Correlated Concepts". 

Abstract: 
The Semantic Web language RDF was designed to unambiguously define and use ontologies to encode data and knowledge on the Web. It is difficult, however, to write complex RDF statements and queries because doing so requires familiarity with the appropriate ontologies and the terms they define. While ontologies have been developed for various branches of the sciences, their use remains limited. We describe ...]]></description>
  <dc:date>2009-10-13</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/event/html/id/217/Database-Infrastructure-for-the-Semantic-Web">
  <title><![CDATA[Database Infrastructure for the Semantic Web]]></title>
  <link>http://ebiquity.umbc.edu/event/html/id/217/Database-Infrastructure-for-the-Semantic-Web</link>
  <description><![CDATA[Oracle Database has support for native storage, querying and inference of semantic datasets containing hundreds of millions to billions of triples. This scalable and secure infrastructure can be used to build applications for data integration, metadata (knowledge) representation, ontology usage and management, ontology enhanced search, and so on. Several new features have been added to the database infrastructure support:

    Native inferencing for a part of OWL (basic constructs, property...]]></description>
  <dc:date>2007-09-14</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/event/html/id/207/Using-the-Semantic-Web-to-support-knowledge-integration-retrieval-and-expansion-for-ecoinformatics">
  <title><![CDATA[Using the Semantic Web to support knowledge integration, retrieval and expansion for ecoinformatics]]></title>
  <link>http://ebiquity.umbc.edu/event/html/id/207/Using-the-Semantic-Web-to-support-knowledge-integration-retrieval-and-expansion-for-ecoinformatics</link>
  <description><![CDATA[Today, the information on the World Wide Web is growing at
an astonishing rate providing a rapidly expanding source of
valuable data. The abundance of distributed information on
the Web increases the importance of efficient organization,
sharing and retrieval of available data. This is
particularly important in scientific research where
efficient collaboration, exchange of results of experiments
and observations, fast discovery of relevant information and
data integration from differe...]]></description>
  <dc:date>2007-05-01</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/1128/Secure-and-Privacy-Compliant-Data-Sharing-An-Essential-Framework-for-Healthcare-Organizations">
  <title><![CDATA[Secure and Privacy-Compliant Data Sharing: An Essential Framework for Healthcare  Organizations]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/1128/Secure-and-Privacy-Compliant-Data-Sharing-An-Essential-Framework-for-Healthcare-Organizations</link>
  <description><![CDATA[Data integration from multiple sources can improve decision-making and predict epidemiological trends. While there are many ben-
eőts to data integration, there are also privacy concerns, especially in healthcare. The Health Insurance Portability and Accountability Act
(HIPAA) is one of the essential regulations in healthcare, and it sets strict standards for the privacy and security of patient data. Often, data integration can be complex because different rules apply to different companie...]]></description>
  <dc:date>2024-01-04</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/810/Discovering-Scientific-Influence-using-Cross-Domain-Dynamic-Topic-Modeling">
  <title><![CDATA[Discovering Scientific Influence using Cross-Domain Dynamic Topic Modeling]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/810/Discovering-Scientific-Influence-using-Cross-Domain-Dynamic-Topic-Modeling</link>
  <description><![CDATA[We describe an approach using dynamic topic
modeling to model influence and predict future trends in
a scientific discipline. Our study focuses on climate change
and uses assessment reports of the Intergovernmental Panel
on Climate Change (IPCC) and the papers they cite. Since
1990, an IPCC report has been published every five years
that includes four separate volumes, each of which has many
chapters. Each report cites tens of thousands of research
papers, which comprise a correlated ...]]></description>
  <dc:date>2017-12-11</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/768/Dynamic-Topic-Modeling-to-Infer-the-Influence-of-Research-Citations-on-IPCC-Assessment-Reports">
  <title><![CDATA[Dynamic Topic Modeling to Infer the Influence of Research Citations on IPCC Assessment Reports]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/768/Dynamic-Topic-Modeling-to-Infer-the-Influence-of-Research-Citations-on-IPCC-Assessment-Reports</link>
  <description><![CDATA[A common Big Data problem is the need to integrate large temporal data sets from various data sources into one comprehensive structure. Having the ability to correlate evolving facts between data sources can be especially useful in supporting a number of desired application functions such as inference and influence identification. As a real world application we use climate change publications based on the Intergovernmental Panel on Climate Change, which publishes climate change assessment rep...]]></description>
  <dc:date>2016-12-05</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/707/The-GeoLink-Modular-Oceanography-Ontology">
  <title><![CDATA[The GeoLink Modular Oceanography Ontology]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/707/The-GeoLink-Modular-Oceanography-Ontology</link>
  <description><![CDATA[GeoLink is one of the building block projects within Earth-Cube, a major effort of the National Science Foundation to establish a next-generation knowledge infrastructure for geosciences. As part of this effort, GeoLink aims to improve data retrieval, reuse, and integration of seven geoscience data repositories through the use of ontologies. In this paper, we report on the GeoLink modular ontology, which consists of an interlinked collection of ontology design patterns engineered as the resul...]]></description>
  <dc:date>2015-10-13</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/705/The-GeoLink-Modular-Oceanography-Ontology">
  <title><![CDATA[The GeoLink Modular Oceanography Ontology]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/705/The-GeoLink-Modular-Oceanography-Ontology</link>
  <description><![CDATA[GeoLink is one of the building block projects within EarthCube, a major effort of the National Science Foundation to establish a next-generation knowledge infrastructure for geosciences. As part of this effort, GeoLink aims to improve data retrieval, reuse, and integration of seven geoscience data repositories through the use of ontologies. In this paper, we report on the GeoLink modular ontology, which consists of an interlinked collection of ontology design patterns engineered as the resul...]]></description>
  <dc:date>2015-10-11</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/689/Ontology-Pattern-Modeling-for-Cross-Repository-Data-Integration-in-the-Ocean-Sciences-The-Oceanographic-Cruise-Example">
  <title><![CDATA[Ontology Pattern Modeling for Cross-Repository Data Integration in the Ocean Sciences: The Oceanographic Cruise Example]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/689/Ontology-Pattern-Modeling-for-Cross-Repository-Data-Integration-in-the-Ocean-Sciences-The-Oceanographic-Cruise-Example</link>
  <description><![CDATA[EarthCube is a major effort of the National Science Foundation to establish a next-generation knowledge architecture for the broader geosciences.  Data storage, retrieval, access, and reuse are central parts of this new effort.  Currently, EarthCube is organized around several building blocks and research coordination networks. OceanLink is a semantics-enabled building block that aims at improving data retrieval and reuse via ontologies, Semantic Web technologies, and Linked Data for the oce...]]></description>
  <dc:date>2015-06-01</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/473/owl-sameAs-and-Linked-Data-An-Empirical-Study">
  <title><![CDATA[owl:sameAs and Linked Data: An Empirical Study]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/473/owl-sameAs-and-Linked-Data-An-Empirical-Study</link>
  <description><![CDATA[Linked Data is a steadily growing presence on the Web. In Linked Data, the description of resources can be obtained incrementally by dereferencing the URIs of resources via the HTTP protocol. The use of owl:sameAs further enriches the Linked Data space by declaratively supporting distributed semantic data integration at the instance level. When consuming Linked Data, users should be careful when handling owl:sameAs: in that URIs linked by owl:sameAs may not be appropriate for simple aggregati...]]></description>
  <dc:date>2010-04-26</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/605/Data-Integration-for-E-Science-Using-Correlated-Concepts">
  <title><![CDATA[Data Integration for E-Science Using Correlated Concepts]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/605/Data-Integration-for-E-Science-Using-Correlated-Concepts</link>
  <description><![CDATA[The Semantic Web language RDF was designed to unambiguously define and use ontologies to encode data and knowledge on the Web.  Many people find it difficult, however, to write complex RDF statements and queries because doing so requires familiarity with the appropriate ontologies and the terms they define. We describe a framework that eases the experiences in authoring and querying RDF data, in which we focus on automatically finding a set of appropriate Semantic Web ontology terms from a se...]]></description>
  <dc:date>2009-09-30</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/resource/html/id/307/Using-linked-data-to-interpret-tables">
  <title><![CDATA[Using linked data to interpret tables]]></title>
  <link>http://ebiquity.umbc.edu/resource/html/id/307/Using-linked-data-to-interpret-tables</link>
  <description><![CDATA[Vast amount of information is available in structured forms like spreadsheets, database relations, and tables found in documents and on the Web. In today’s talk I will describe an approach that uses linked data to interpret such tables and associate their components with nodes in a reference linked data collection. Our proposed framework assigns a class (i.e. type) to table columns, links table cells to entities, and inferred relations between columns to properties. The resulting interpreta...]]></description>
  <dc:date>2010-09-14</dc:date>
 </item>
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