Provenance-Aware Semantic Search Engines Based On Data Integration Systems
Search engines are common tools for virtually every user of the Internet and companies, such as Google and Yahoo!, have become household names. Semantic Search Engines try to augment and improve traditional Web Search Engines by using not just words, but concepts and logical relationships. Given the...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Beneventano, Domenico [verfasserIn] Bergamaschi, Sonia [verfasserIn] |
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Englisch |
| Erschienen: |
2014 |
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1 Online-Ressource |
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| Übergeordnetes Werk: |
Enthalten in: International journal of organizational and collective intelligence - Hershey, Pa : IGI Global, 2010, 4(2014), 2, Seite 1-30 |
|---|---|
| Übergeordnetes Werk: |
volume:4 ; year:2014 ; number:2 ; pages:1-30 |
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| DOI / URN: |
10.4018/ijoci.2014040101 |
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NLEJ251822842 |
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10.4018/ijoci.2014040101 doi (DE-627)NLEJ251822842 (VZGNL)10.4018/ijoci.2014040101 DE-627 ger DE-627 rakwb eng Beneventano, Domenico verfasserin aut Provenance-Aware Semantic Search Engines Based On Data Integration Systems 2014 1 Online-Ressource Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Search engines are common tools for virtually every user of the Internet and companies, such as Google and Yahoo!, have become household names. Semantic Search Engines try to augment and improve traditional Web Search Engines by using not just words, but concepts and logical relationships. Given the openness of the Web and the different sources involved, a Web Search Engine must evaluate quality and trustworthiness of the data; a common approach for such assessments is the analysis of the provenance of information. In this paper a relevant class of Provenance-aware Semantic Search Engines, based on a peer-to-peer, data integration mediator-based architecture is described. The architectural and functional features are an enhancement with provenance of the SEWASIE semantic search engine developed within the IST EU SEWASIE project, coordinated by the authors. The methodology to create a two level ontology and the query processing engine developed within the SEWASIE project, together with provenance extension are fully described Data Integration Data Provenance Mediator System Ontologies Query Reformulation Schema Based Peer-to-Peer Networks Semantic Search Engines Bergamaschi, Sonia verfasserin aut Enthalten in International journal of organizational and collective intelligence Hershey, Pa : IGI Global, 2010 4(2014), 2, Seite 1-30 Online-Ressource (DE-627)NLEJ24441937X (DE-600)2703592-X 1947-9352 nnns volume:4 year:2014 number:2 pages:1-30 http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/ijoci.2014040101 X:IGIG Verlag Deutschlandweit zugänglich http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/ijoci.2014040101&buylink=true Abstract ZDB-1-GIS GBV_NL_ARTICLE AR 4 2014 2 1-30 |
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10.4018/ijoci.2014040101 doi (DE-627)NLEJ251822842 (VZGNL)10.4018/ijoci.2014040101 DE-627 ger DE-627 rakwb eng Beneventano, Domenico verfasserin aut Provenance-Aware Semantic Search Engines Based On Data Integration Systems 2014 1 Online-Ressource Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Search engines are common tools for virtually every user of the Internet and companies, such as Google and Yahoo!, have become household names. Semantic Search Engines try to augment and improve traditional Web Search Engines by using not just words, but concepts and logical relationships. Given the openness of the Web and the different sources involved, a Web Search Engine must evaluate quality and trustworthiness of the data; a common approach for such assessments is the analysis of the provenance of information. In this paper a relevant class of Provenance-aware Semantic Search Engines, based on a peer-to-peer, data integration mediator-based architecture is described. The architectural and functional features are an enhancement with provenance of the SEWASIE semantic search engine developed within the IST EU SEWASIE project, coordinated by the authors. The methodology to create a two level ontology and the query processing engine developed within the SEWASIE project, together with provenance extension are fully described Data Integration Data Provenance Mediator System Ontologies Query Reformulation Schema Based Peer-to-Peer Networks Semantic Search Engines Bergamaschi, Sonia verfasserin aut Enthalten in International journal of organizational and collective intelligence Hershey, Pa : IGI Global, 2010 4(2014), 2, Seite 1-30 Online-Ressource (DE-627)NLEJ24441937X (DE-600)2703592-X 1947-9352 nnns volume:4 year:2014 number:2 pages:1-30 http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/ijoci.2014040101 X:IGIG Verlag Deutschlandweit zugänglich http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/ijoci.2014040101&buylink=true Abstract ZDB-1-GIS GBV_NL_ARTICLE AR 4 2014 2 1-30 |
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10.4018/ijoci.2014040101 doi (DE-627)NLEJ251822842 (VZGNL)10.4018/ijoci.2014040101 DE-627 ger DE-627 rakwb eng Beneventano, Domenico verfasserin aut Provenance-Aware Semantic Search Engines Based On Data Integration Systems 2014 1 Online-Ressource Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Search engines are common tools for virtually every user of the Internet and companies, such as Google and Yahoo!, have become household names. Semantic Search Engines try to augment and improve traditional Web Search Engines by using not just words, but concepts and logical relationships. Given the openness of the Web and the different sources involved, a Web Search Engine must evaluate quality and trustworthiness of the data; a common approach for such assessments is the analysis of the provenance of information. In this paper a relevant class of Provenance-aware Semantic Search Engines, based on a peer-to-peer, data integration mediator-based architecture is described. The architectural and functional features are an enhancement with provenance of the SEWASIE semantic search engine developed within the IST EU SEWASIE project, coordinated by the authors. The methodology to create a two level ontology and the query processing engine developed within the SEWASIE project, together with provenance extension are fully described Data Integration Data Provenance Mediator System Ontologies Query Reformulation Schema Based Peer-to-Peer Networks Semantic Search Engines Bergamaschi, Sonia verfasserin aut Enthalten in International journal of organizational and collective intelligence Hershey, Pa : IGI Global, 2010 4(2014), 2, Seite 1-30 Online-Ressource (DE-627)NLEJ24441937X (DE-600)2703592-X 1947-9352 nnns volume:4 year:2014 number:2 pages:1-30 http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/ijoci.2014040101 X:IGIG Verlag Deutschlandweit zugänglich http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/ijoci.2014040101&buylink=true Abstract ZDB-1-GIS GBV_NL_ARTICLE AR 4 2014 2 1-30 |
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10.4018/ijoci.2014040101 doi (DE-627)NLEJ251822842 (VZGNL)10.4018/ijoci.2014040101 DE-627 ger DE-627 rakwb eng Beneventano, Domenico verfasserin aut Provenance-Aware Semantic Search Engines Based On Data Integration Systems 2014 1 Online-Ressource Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Search engines are common tools for virtually every user of the Internet and companies, such as Google and Yahoo!, have become household names. Semantic Search Engines try to augment and improve traditional Web Search Engines by using not just words, but concepts and logical relationships. Given the openness of the Web and the different sources involved, a Web Search Engine must evaluate quality and trustworthiness of the data; a common approach for such assessments is the analysis of the provenance of information. In this paper a relevant class of Provenance-aware Semantic Search Engines, based on a peer-to-peer, data integration mediator-based architecture is described. The architectural and functional features are an enhancement with provenance of the SEWASIE semantic search engine developed within the IST EU SEWASIE project, coordinated by the authors. The methodology to create a two level ontology and the query processing engine developed within the SEWASIE project, together with provenance extension are fully described Data Integration Data Provenance Mediator System Ontologies Query Reformulation Schema Based Peer-to-Peer Networks Semantic Search Engines Bergamaschi, Sonia verfasserin aut Enthalten in International journal of organizational and collective intelligence Hershey, Pa : IGI Global, 2010 4(2014), 2, Seite 1-30 Online-Ressource (DE-627)NLEJ24441937X (DE-600)2703592-X 1947-9352 nnns volume:4 year:2014 number:2 pages:1-30 http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/ijoci.2014040101 X:IGIG Verlag Deutschlandweit zugänglich http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/ijoci.2014040101&buylink=true Abstract ZDB-1-GIS GBV_NL_ARTICLE AR 4 2014 2 1-30 |
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10.4018/ijoci.2014040101 doi (DE-627)NLEJ251822842 (VZGNL)10.4018/ijoci.2014040101 DE-627 ger DE-627 rakwb eng Beneventano, Domenico verfasserin aut Provenance-Aware Semantic Search Engines Based On Data Integration Systems 2014 1 Online-Ressource Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Search engines are common tools for virtually every user of the Internet and companies, such as Google and Yahoo!, have become household names. Semantic Search Engines try to augment and improve traditional Web Search Engines by using not just words, but concepts and logical relationships. Given the openness of the Web and the different sources involved, a Web Search Engine must evaluate quality and trustworthiness of the data; a common approach for such assessments is the analysis of the provenance of information. In this paper a relevant class of Provenance-aware Semantic Search Engines, based on a peer-to-peer, data integration mediator-based architecture is described. The architectural and functional features are an enhancement with provenance of the SEWASIE semantic search engine developed within the IST EU SEWASIE project, coordinated by the authors. The methodology to create a two level ontology and the query processing engine developed within the SEWASIE project, together with provenance extension are fully described Data Integration Data Provenance Mediator System Ontologies Query Reformulation Schema Based Peer-to-Peer Networks Semantic Search Engines Bergamaschi, Sonia verfasserin aut Enthalten in International journal of organizational and collective intelligence Hershey, Pa : IGI Global, 2010 4(2014), 2, Seite 1-30 Online-Ressource (DE-627)NLEJ24441937X (DE-600)2703592-X 1947-9352 nnns volume:4 year:2014 number:2 pages:1-30 http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/ijoci.2014040101 X:IGIG Verlag Deutschlandweit zugänglich http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/ijoci.2014040101&buylink=true Abstract ZDB-1-GIS GBV_NL_ARTICLE AR 4 2014 2 1-30 |
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Search engines are common tools for virtually every user of the Internet and companies, such as Google and Yahoo!, have become household names. Semantic Search Engines try to augment and improve traditional Web Search Engines by using not just words, but concepts and logical relationships. Given the openness of the Web and the different sources involved, a Web Search Engine must evaluate quality and trustworthiness of the data; a common approach for such assessments is the analysis of the provenance of information. In this paper a relevant class of Provenance-aware Semantic Search Engines, based on a peer-to-peer, data integration mediator-based architecture is described. The architectural and functional features are an enhancement with provenance of the SEWASIE semantic search engine developed within the IST EU SEWASIE project, coordinated by the authors. The methodology to create a two level ontology and the query processing engine developed within the SEWASIE project, together with provenance extension are fully described |
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Search engines are common tools for virtually every user of the Internet and companies, such as Google and Yahoo!, have become household names. Semantic Search Engines try to augment and improve traditional Web Search Engines by using not just words, but concepts and logical relationships. Given the openness of the Web and the different sources involved, a Web Search Engine must evaluate quality and trustworthiness of the data; a common approach for such assessments is the analysis of the provenance of information. In this paper a relevant class of Provenance-aware Semantic Search Engines, based on a peer-to-peer, data integration mediator-based architecture is described. The architectural and functional features are an enhancement with provenance of the SEWASIE semantic search engine developed within the IST EU SEWASIE project, coordinated by the authors. The methodology to create a two level ontology and the query processing engine developed within the SEWASIE project, together with provenance extension are fully described |
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Search engines are common tools for virtually every user of the Internet and companies, such as Google and Yahoo!, have become household names. Semantic Search Engines try to augment and improve traditional Web Search Engines by using not just words, but concepts and logical relationships. Given the openness of the Web and the different sources involved, a Web Search Engine must evaluate quality and trustworthiness of the data; a common approach for such assessments is the analysis of the provenance of information. In this paper a relevant class of Provenance-aware Semantic Search Engines, based on a peer-to-peer, data integration mediator-based architecture is described. The architectural and functional features are an enhancement with provenance of the SEWASIE semantic search engine developed within the IST EU SEWASIE project, coordinated by the authors. The methodology to create a two level ontology and the query processing engine developed within the SEWASIE project, together with provenance extension are fully described |
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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">NLEJ251822842</controlfield><controlfield tag="003">DE-627</controlfield><controlfield tag="005">20231205143951.0</controlfield><controlfield tag="007">cr uuu---uuuuu</controlfield><controlfield tag="008">231128s2014 xx |||||o 00| ||eng c</controlfield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.4018/ijoci.2014040101</subfield><subfield code="2">doi</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627)NLEJ251822842</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(VZGNL)10.4018/ijoci.2014040101</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">Beneventano, Domenico</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Provenance-Aware Semantic Search Engines Based On Data Integration Systems</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="c">2014</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">Search engines are common tools for virtually every user of the Internet and companies, such as Google and Yahoo!, have become household names. Semantic Search Engines try to augment and improve traditional Web Search Engines by using not just words, but concepts and logical relationships. Given the openness of the Web and the different sources involved, a Web Search Engine must evaluate quality and trustworthiness of the data; a common approach for such assessments is the analysis of the provenance of information. In this paper a relevant class of Provenance-aware Semantic Search Engines, based on a peer-to-peer, data integration mediator-based architecture is described. The architectural and functional features are an enhancement with provenance of the SEWASIE semantic search engine developed within the IST EU SEWASIE project, coordinated by the authors. The methodology to create a two level ontology and the query processing engine developed within the SEWASIE project, together with provenance extension are fully described</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">Data Integration</subfield><subfield code="a">Data Provenance</subfield><subfield code="a">Mediator System</subfield><subfield code="a">Ontologies</subfield><subfield code="a">Query Reformulation</subfield><subfield code="a">Schema Based Peer-to-Peer Networks</subfield><subfield code="a">Semantic Search Engines</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Bergamaschi, Sonia</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 organizational and collective intelligence</subfield><subfield code="d">Hershey, Pa : IGI Global, 2010</subfield><subfield code="g">4(2014), 2, Seite 1-30</subfield><subfield code="h">Online-Ressource</subfield><subfield code="w">(DE-627)NLEJ24441937X</subfield><subfield code="w">(DE-600)2703592-X</subfield><subfield code="x">1947-9352</subfield><subfield code="7">nnns</subfield></datafield><datafield tag="773" ind1="1" ind2="8"><subfield code="g">volume:4</subfield><subfield code="g">year:2014</subfield><subfield code="g">number:2</subfield><subfield code="g">pages:1-30</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/ijoci.2014040101</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/ijoci.2014040101&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">4</subfield><subfield code="j">2014</subfield><subfield code="e">2</subfield><subfield code="h">1-30</subfield></datafield></record></collection>
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7.399728 |