Semantic Approach to Web-Based Discovery of Unknowns to Enhance Intelligence Gathering
A semantic Web-based search method is introduced that automates the correlation of topic-related content for discovery of hitherto unknown intelligence from disparate and widely diverse Web-sources. This method is in contrast to traditional search methods that are constrained to specific or narrowly...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Danilova, Natalia [verfasserIn] Stupples, David [verfasserIn] |
|---|
| Format: |
E-Artikel |
|---|---|
| Sprache: |
Englisch |
| Erschienen: |
2013 |
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| Umfang: |
1 Online-Ressource |
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| Übergeordnetes Werk: |
Enthalten in: International journal of information retrieval research - Hershey, Pa : IGI Global, 2011, 3(2013), 1, Seite 27-42 |
|---|---|
| Übergeordnetes Werk: |
volume:3 ; year:2013 ; number:1 ; pages:27-42 |
| Links: |
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| DOI / URN: |
10.4018/ijirr.2013010102 |
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NLEJ251811344 |
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| 520 | |a A semantic Web-based search method is introduced that automates the correlation of topic-related content for discovery of hitherto unknown intelligence from disparate and widely diverse Web-sources. This method is in contrast to traditional search methods that are constrained to specific or narrowly defined topics. The method is based on algorithms from Natural Language Processing combined with techniques adapted from grounded theory and Dempster-Shafer theory to significantly enhance the discovery of related Web-sourced intelligence. This paper describes the development of the method by showing the integration of the mathematical models used. Real-world worked examples demonstrate the effectiveness of the method with supporting performance analysis, showing that the quality of the extracted content is significantly enhanced comparing to the traditional Web-search approaches | ||
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10.4018/ijirr.2013010102 doi (DE-627)NLEJ251811344 (VZGNL)10.4018/ijirr.2013010102 DE-627 ger DE-627 rakwb eng Danilova, Natalia verfasserin aut Semantic Approach to Web-Based Discovery of Unknowns to Enhance Intelligence Gathering 2013 1 Online-Ressource Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier A semantic Web-based search method is introduced that automates the correlation of topic-related content for discovery of hitherto unknown intelligence from disparate and widely diverse Web-sources. This method is in contrast to traditional search methods that are constrained to specific or narrowly defined topics. The method is based on algorithms from Natural Language Processing combined with techniques adapted from grounded theory and Dempster-Shafer theory to significantly enhance the discovery of related Web-sourced intelligence. This paper describes the development of the method by showing the integration of the mathematical models used. Real-world worked examples demonstrate the effectiveness of the method with supporting performance analysis, showing that the quality of the extracted content is significantly enhanced comparing to the traditional Web-search approaches Grounded Theory Information Quality Information Retrieval Natural Language Processing Semantic Similarity Stupples, David verfasserin aut Enthalten in International journal of information retrieval research Hershey, Pa : IGI Global, 2011 3(2013), 1, Seite 27-42 Online-Ressource (DE-627)NLEJ244419159 (DE-600)2703390-9 2155-6385 nnns volume:3 year:2013 number:1 pages:27-42 http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/ijirr.2013010102 X:IGIG Verlag Deutschlandweit zugänglich http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/ijirr.2013010102&buylink=true Abstract ZDB-1-GIS GBV_NL_ARTICLE AR 3 2013 1 27-42 |
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10.4018/ijirr.2013010102 doi (DE-627)NLEJ251811344 (VZGNL)10.4018/ijirr.2013010102 DE-627 ger DE-627 rakwb eng Danilova, Natalia verfasserin aut Semantic Approach to Web-Based Discovery of Unknowns to Enhance Intelligence Gathering 2013 1 Online-Ressource Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier A semantic Web-based search method is introduced that automates the correlation of topic-related content for discovery of hitherto unknown intelligence from disparate and widely diverse Web-sources. This method is in contrast to traditional search methods that are constrained to specific or narrowly defined topics. The method is based on algorithms from Natural Language Processing combined with techniques adapted from grounded theory and Dempster-Shafer theory to significantly enhance the discovery of related Web-sourced intelligence. This paper describes the development of the method by showing the integration of the mathematical models used. Real-world worked examples demonstrate the effectiveness of the method with supporting performance analysis, showing that the quality of the extracted content is significantly enhanced comparing to the traditional Web-search approaches Grounded Theory Information Quality Information Retrieval Natural Language Processing Semantic Similarity Stupples, David verfasserin aut Enthalten in International journal of information retrieval research Hershey, Pa : IGI Global, 2011 3(2013), 1, Seite 27-42 Online-Ressource (DE-627)NLEJ244419159 (DE-600)2703390-9 2155-6385 nnns volume:3 year:2013 number:1 pages:27-42 http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/ijirr.2013010102 X:IGIG Verlag Deutschlandweit zugänglich http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/ijirr.2013010102&buylink=true Abstract ZDB-1-GIS GBV_NL_ARTICLE AR 3 2013 1 27-42 |
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10.4018/ijirr.2013010102 doi (DE-627)NLEJ251811344 (VZGNL)10.4018/ijirr.2013010102 DE-627 ger DE-627 rakwb eng Danilova, Natalia verfasserin aut Semantic Approach to Web-Based Discovery of Unknowns to Enhance Intelligence Gathering 2013 1 Online-Ressource Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier A semantic Web-based search method is introduced that automates the correlation of topic-related content for discovery of hitherto unknown intelligence from disparate and widely diverse Web-sources. This method is in contrast to traditional search methods that are constrained to specific or narrowly defined topics. The method is based on algorithms from Natural Language Processing combined with techniques adapted from grounded theory and Dempster-Shafer theory to significantly enhance the discovery of related Web-sourced intelligence. This paper describes the development of the method by showing the integration of the mathematical models used. Real-world worked examples demonstrate the effectiveness of the method with supporting performance analysis, showing that the quality of the extracted content is significantly enhanced comparing to the traditional Web-search approaches Grounded Theory Information Quality Information Retrieval Natural Language Processing Semantic Similarity Stupples, David verfasserin aut Enthalten in International journal of information retrieval research Hershey, Pa : IGI Global, 2011 3(2013), 1, Seite 27-42 Online-Ressource (DE-627)NLEJ244419159 (DE-600)2703390-9 2155-6385 nnns volume:3 year:2013 number:1 pages:27-42 http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/ijirr.2013010102 X:IGIG Verlag Deutschlandweit zugänglich http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/ijirr.2013010102&buylink=true Abstract ZDB-1-GIS GBV_NL_ARTICLE AR 3 2013 1 27-42 |
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A semantic Web-based search method is introduced that automates the correlation of topic-related content for discovery of hitherto unknown intelligence from disparate and widely diverse Web-sources. This method is in contrast to traditional search methods that are constrained to specific or narrowly defined topics. The method is based on algorithms from Natural Language Processing combined with techniques adapted from grounded theory and Dempster-Shafer theory to significantly enhance the discovery of related Web-sourced intelligence. This paper describes the development of the method by showing the integration of the mathematical models used. Real-world worked examples demonstrate the effectiveness of the method with supporting performance analysis, showing that the quality of the extracted content is significantly enhanced comparing to the traditional Web-search approaches |
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A semantic Web-based search method is introduced that automates the correlation of topic-related content for discovery of hitherto unknown intelligence from disparate and widely diverse Web-sources. This method is in contrast to traditional search methods that are constrained to specific or narrowly defined topics. The method is based on algorithms from Natural Language Processing combined with techniques adapted from grounded theory and Dempster-Shafer theory to significantly enhance the discovery of related Web-sourced intelligence. This paper describes the development of the method by showing the integration of the mathematical models used. Real-world worked examples demonstrate the effectiveness of the method with supporting performance analysis, showing that the quality of the extracted content is significantly enhanced comparing to the traditional Web-search approaches |
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A semantic Web-based search method is introduced that automates the correlation of topic-related content for discovery of hitherto unknown intelligence from disparate and widely diverse Web-sources. This method is in contrast to traditional search methods that are constrained to specific or narrowly defined topics. The method is based on algorithms from Natural Language Processing combined with techniques adapted from grounded theory and Dempster-Shafer theory to significantly enhance the discovery of related Web-sourced intelligence. This paper describes the development of the method by showing the integration of the mathematical models used. Real-world worked examples demonstrate the effectiveness of the method with supporting performance analysis, showing that the quality of the extracted content is significantly enhanced comparing to the traditional Web-search approaches |
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<?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>01000caa a22002652 4500</leader><controlfield tag="001">NLEJ251811344</controlfield><controlfield tag="003">DE-627</controlfield><controlfield tag="005">20231205143924.0</controlfield><controlfield tag="007">cr uuu---uuuuu</controlfield><controlfield tag="008">231128s2013 xx |||||o 00| ||eng c</controlfield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.4018/ijirr.2013010102</subfield><subfield code="2">doi</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627)NLEJ251811344</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(VZGNL)10.4018/ijirr.2013010102</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-627</subfield><subfield code="b">ger</subfield><subfield code="c">DE-627</subfield><subfield code="e">rakwb</subfield></datafield><datafield tag="041" ind1=" " ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Danilova, Natalia</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Semantic Approach to Web-Based Discovery of Unknowns to Enhance Intelligence Gathering</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="c">2013</subfield></datafield><datafield tag="300" ind1=" " ind2=" "><subfield code="a">1 Online-Ressource</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">Text</subfield><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">Computermedien</subfield><subfield code="b">c</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">Online-Ressource</subfield><subfield code="b">cr</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">A semantic Web-based search method is introduced that automates the correlation of topic-related content for discovery of hitherto unknown intelligence from disparate and widely diverse Web-sources. This method is in contrast to traditional search methods that are constrained to specific or narrowly defined topics. The method is based on algorithms from Natural Language Processing combined with techniques adapted from grounded theory and Dempster-Shafer theory to significantly enhance the discovery of related Web-sourced intelligence. This paper describes the development of the method by showing the integration of the mathematical models used. Real-world worked examples demonstrate the effectiveness of the method with supporting performance analysis, showing that the quality of the extracted content is significantly enhanced comparing to the traditional Web-search approaches</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">Grounded Theory</subfield><subfield code="a">Information Quality</subfield><subfield code="a">Information Retrieval</subfield><subfield code="a">Natural Language Processing</subfield><subfield code="a">Semantic Similarity</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Stupples, David</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="773" ind1="0" ind2="8"><subfield code="i">Enthalten in</subfield><subfield code="t">International journal of information retrieval research</subfield><subfield code="d">Hershey, Pa : IGI Global, 2011</subfield><subfield code="g">3(2013), 1, Seite 27-42</subfield><subfield code="h">Online-Ressource</subfield><subfield code="w">(DE-627)NLEJ244419159</subfield><subfield code="w">(DE-600)2703390-9</subfield><subfield code="x">2155-6385</subfield><subfield code="7">nnns</subfield></datafield><datafield tag="773" ind1="1" ind2="8"><subfield code="g">volume:3</subfield><subfield code="g">year:2013</subfield><subfield code="g">number:1</subfield><subfield code="g">pages:27-42</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/ijirr.2013010102</subfield><subfield code="m">X:IGIG</subfield><subfield code="x">Verlag</subfield><subfield code="z">Deutschlandweit zugänglich</subfield></datafield><datafield tag="856" ind1="4" ind2="2"><subfield code="u">http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/ijirr.2013010102&buylink=true</subfield><subfield code="3">Abstract</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">ZDB-1-GIS</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_NL_ARTICLE</subfield></datafield><datafield tag="951" ind1=" " ind2=" "><subfield code="a">AR</subfield></datafield><datafield tag="952" ind1=" " ind2=" "><subfield code="d">3</subfield><subfield code="j">2013</subfield><subfield code="e">1</subfield><subfield code="h">27-42</subfield></datafield></record></collection>
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