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  <image rdf:resource="http://ebiquity.umbc.edu/img/logo.jpg" />  <title><![CDATA[UMBC ebiquity research group RSS Paper Feed]]></title>
  <link>http://ebiquity.umbc.edu/papers/select/search/html/613a353a7b693a303b643a303b693a313b643a323030373b693a323b733a303a22223b693a333b733a303a22223b693a343b643a303b7d/</link>
  <description><![CDATA[UMBC ebiquity research group papers  from 2007]]></description>
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    <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/403/Proceedings-of-the-ISWC-2007-Workshop-on-Privacy-Enforcement-and-Accountability"/>
    <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/391/SOAR-A-System-for-the-Analysis-of-Atmospheric-Radiances"/>
    <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/390/-A-Web-Service-Tool-SOAR-for-the-Dynamic-Generation-of-L1-Grids-of-Coincident-AIRS-AMSU-and-MODIS-Satellite-Sounding-Radiance-Data-for-Climate-Studies-"/>
    <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/389/A-Probabilistic-Framework-for-Semantic-Similarity-and-Ontology-Mapping"/>
    <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/377/Learning-the-Semantic-Meaning-of-a-Concept-from-the-Web"/>
    <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/376/Utilizing-Semantic-Policies-for-Secure-BGP-Route-Dissemination"/>
    <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/375/Streaming-Knowledge-Bases"/>
    <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/374/Web-2-0-Mining-Analyzing-Social-Media"/>
    <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/373/Detecting-Spam-Blogs-An-Adaptive-Online-Approach"/>
    <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/372/RDF123-and-Spotter-Tools-for-generating-OWL-and-RDF-for-biodiversity-data-in-spreadsheets-and-unstructured-text"/>
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 <image rdf:about="http://ebiquity.umbc.edu/img/logo.jpg">
  <title>UMBC ebiquity research group</title>
  <link>http://ebiquity.umbc.edu</link>
  <url>http://ebiquity.umbc.edu/img/logo.jpg</url>
 </image>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/403/Proceedings-of-the-ISWC-2007-Workshop-on-Privacy-Enforcement-and-Accountability">
  <title><![CDATA[Proceedings of the ISWC 2007 Workshop on Privacy Enforcement and Accountability]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/403/Proceedings-of-the-ISWC-2007-Workshop-on-Privacy-Enforcement-and-Accountability</link>
  <description><![CDATA[The  Workshop on Privacy Enforcement and Accountability was held on November 12, 2007 in conjunction with the Sixth International Semantic Web Conference in Busan, South Korea.  The proceedings contains seven papers that were presented as part of the one-day workshop.]]></description>
  <dc:date>2007-11-12</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/391/SOAR-A-System-for-the-Analysis-of-Atmospheric-Radiances">
  <title><![CDATA[SOAR: A System for the Analysis of Atmospheric Radiances]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/391/SOAR-A-System-for-the-Analysis-of-Atmospheric-Radiances</link>
  <description><![CDATA[AB: We have used a Service Oriented Architecture (SOA) approach to develop a system to produce multi-year, multi-sensor gridded atmospheric radiances on-demand. NASA's Aqua spacecraft launched in 2002 and has provided 5 years of calibrated atmospheric radiances from the AIRS, AMSU and MODIS instruments that are available through SOAR. The system utilizes an IBM power pc compute cluster consisting of a 44 dual and quad blade system. The high resolution spatial, temporal and hyperspectral array...]]></description>
  <dc:date>2007-12-01</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/390/-A-Web-Service-Tool-SOAR-for-the-Dynamic-Generation-of-L1-Grids-of-Coincident-AIRS-AMSU-and-MODIS-Satellite-Sounding-Radiance-Data-for-Climate-Studies-">
  <title><![CDATA[A Web Service Tool (SOAR) for the Dynamic Generation of L1 Grids of Coincident AIRS, AMSU and MODIS Satellite Sounding Radiance Data for Climate Studies]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/390/-A-Web-Service-Tool-SOAR-for-the-Dynamic-Generation-of-L1-Grids-of-Coincident-AIRS-AMSU-and-MODIS-Satellite-Sounding-Radiance-Data-for-Climate-Studies-</link>
  <description><![CDATA[Three decades of Earth remote sensing from NASA, NOAA and DOD operational and research satellites carrying successive generations of improved atmospheric sounder instruments have resulted in petabytes of radiance data with varying spatial and spectral resolutions being stored at different data archives in various data formats by the respective agencies. This evolution of sounders and the diversities of these archived data sets have led to data processing obstacles limiting the science communi...]]></description>
  <dc:date>2007-06-19</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/389/A-Probabilistic-Framework-for-Semantic-Similarity-and-Ontology-Mapping">
  <title><![CDATA[A Probabilistic Framework for Semantic Similarity and Ontology Mapping]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/389/A-Probabilistic-Framework-for-Semantic-Similarity-and-Ontology-Mapping</link>
  <description><![CDATA[We propose a probabilistic framework to address uncertainty in ontology-based semantic integration and interopera- 
tion. This framework consists of three main components: 1) BayesOWL that translates an OWL ontology to a Baye- 
sian network, 2) SLBN (Semantically Linked Bayesian Networks) that support reasoning across translated BNs, and 
3) a Learner that learns from the web the probabilities needed by the other modules. This framework expands the 
semantic web and can serve as a theoret...]]></description>
  <dc:date>2007-05-19</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/377/Learning-the-Semantic-Meaning-of-a-Concept-from-the-Web">
  <title><![CDATA[Learning the Semantic Meaning of a Concept from the Web]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/377/Learning-the-Semantic-Meaning-of-a-Concept-from-the-Web</link>
  <description><![CDATA[Many researchers have used text classification method in solving the ontology mapping problem. Their mapping results heavily depend on the availability of quality exemplars used as training data. However, manual preparation of exemplars is costly. In this work, we propose to automatically extract text from web pages returned by a search engine. Search queries are formed according to the semantic information given in the ontology. We have implemented a prototype system that automates the entir...]]></description>
  <dc:date>2007-05-28</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/376/Utilizing-Semantic-Policies-for-Secure-BGP-Route-Dissemination">
  <title><![CDATA[Utilizing Semantic Policies for Secure BGP Route Dissemination]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/376/Utilizing-Semantic-Policies-for-Secure-BGP-Route-Dissemination</link>
  <description><![CDATA[Policies in BGP are expressed as routing configurations
that determine how route information is shared among
neighbors to control traffic flows across networks. This process
is limited in its expressibility, time consuming and error prone
which can lead to configurations where policies are violated or
there are unintended consequences that are difficult to detect
and resolve. In this paper, we propose an alternate mechanism
for policy based networking that relies on using additional
s...]]></description>
  <dc:date>2007-09-27</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/375/Streaming-Knowledge-Bases">
  <title><![CDATA[Streaming Knowledge Bases]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/375/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 of in...]]></description>
  <dc:date>2007-08-31</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/374/Web-2-0-Mining-Analyzing-Social-Media">
  <title><![CDATA[Web 2.0 Mining: Analyzing Social Media]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/374/Web-2-0-Mining-Analyzing-Social-Media</link>
  <description><![CDATA[Social media systems such as blogs, photo and link
sharing sites, wikis and on-line forums are estimated
to produce up to one third of new Web content. One
thing that sets these ”Web 2.0” sites apart from traditional
Web pages and resources is that they are intertwined
with other forms of networked data. Their standard
hyperlinks are enriched by social networks, comments,
trackbacks, advertisements, tags, RDF data and
metadata. We describe recent work on building systems
that ana...]]></description>
  <dc:date>2007-10-10</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/373/Detecting-Spam-Blogs-An-Adaptive-Online-Approach">
  <title><![CDATA[Detecting Spam Blogs: An Adaptive Online Approach]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/373/Detecting-Spam-Blogs-An-Adaptive-Online-Approach</link>
  <description><![CDATA[Weblogs, or blogs, are an important new way to publish information, engage in discussions, and form communities on the Internet. Blogs are a global phenomenon, and with numbers well over 100 million they form the core of the emerging paradigm of Social Media. While the utility of blogs is unquestionable, a serious problem now afflicts them, that of spam. Spam blogs, or splogs are blogs with auto-generated or plagiarized content with the sole purpose of hosting profitable contextual ads and/or...]]></description>
  <dc:date>2007-12-10</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/372/RDF123-and-Spotter-Tools-for-generating-OWL-and-RDF-for-biodiversity-data-in-spreadsheets-and-unstructured-text">
  <title><![CDATA[RDF123 and Spotter: Tools for generating OWL and RDF for biodiversity data in spreadsheets and unstructured text]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/372/RDF123-and-Spotter-Tools-for-generating-OWL-and-RDF-for-biodiversity-data-in-spreadsheets-and-unstructured-text</link>
  <description><![CDATA[OWL (the Web Ontology Language) and the related RDF (Resource Description Framework) are XML-based languages designed to represent the semantics of data. These languages enable systems to go beyond simple controlled vocabularies and specify the contexts and logical relationships among terms. Formal ontologies use classes (e.g., Species A) and properties (e.g., is a member of, or eats, or has body mass) to represent concepts and relationships as assertions. For example, two assertions might be...]]></description>
  <dc:date>2007-10-01</dc:date>
 </item>
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