A Multi-layered Bayesian Network Model for Structured Document Retrieval
New standards in document representation, like for example SGML, XML, and MPEG-7, compel Information Retrieval to design and implement models and tools to index, retrieve and present documents according to the given document structure. The paper presents the design of an Information Retrieval system...
Gespeichert in:
| Hauptverfasser: | , , , |
|---|---|
| Format: | Buchkapitel |
| Sprache: | eng |
| Schlagworte: | |
| Online-Zugang: | Volltext |
| Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
| container_end_page | 86 |
|---|---|
| container_issue | |
| container_start_page | 74 |
| container_title | |
| container_volume | |
| creator | Crestani, Fabio de Campos, Luis M. Fernández-Luna, Juan M. Huete, Juan F. |
| description | New standards in document representation, like for example SGML, XML, and MPEG-7, compel Information Retrieval to design and implement models and tools to index, retrieve and present documents according to the given document structure. The paper presents the design of an Information Retrieval system for multimedia structured documents, like for example journal articles, e-books, and MPEG-7 videos. The system is based on Bayesian Networks, since this class of mathematical models enable to represent and quantify the relations between the structural components of the document. Some preliminary results on the system implementation are also presented. |
| doi_str_mv | 10.1007/978-3-540-45062-7_6 |
| format | Book Chapter |
| fullrecord | <record><control><sourceid>pascalfrancis_sprin</sourceid><recordid>TN_cdi_pascalfrancis_primary_15567925</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>15567925</sourcerecordid><originalsourceid>FETCH-LOGICAL-p270t-5989fb423d76e19a48f5c6bfb82db922f56fe9f061b1f37e7a4daa0dab9a6f393</originalsourceid><addsrcrecordid>eNpFkMlOwzAURc0kUUq_gE02LA3Pc7wsY5FakBjWlpPYKDRNKjsB9e9xWyRWV7r36EnvIHRB4IoAqGutcsyw4IC5AEmxMvIATVLLUrer1CEaEUkIZozro_8NuObkGI2AAcVacXaKzmL8AgCqNB2h2TRbDE1f48ZuXHBVdpMy1rbNnl3_04Vltugq12S-C9lbH4ayH7bUXVcOK9f22avrQ-2-bXOOTrxtopv85Rh9PNy_387w_OXx6XY6x2uqoMdC59oXnLJKSUe05bkXpSx8kdOq0JR6Ib3THiQpiGfKKcsra6GyhbbSM83G6HJ_d21jaRsfbFvW0axDvbJhY4gQMj0mEkf2XExT--mCKbpuGQ0Bs1VqkiDDTFJkdv5MUsp-AYu-ZNs</addsrcrecordid><sourcetype>Index Database</sourcetype><iscdi>true</iscdi><recordtype>book_chapter</recordtype></control><display><type>book_chapter</type><title>A Multi-layered Bayesian Network Model for Structured Document Retrieval</title><source>Springer Books</source><creator>Crestani, Fabio ; de Campos, Luis M. ; Fernández-Luna, Juan M. ; Huete, Juan F.</creator><contributor>Zhang, Nevin Lianwen ; Nielsen, Thomas Dyhre</contributor><creatorcontrib>Crestani, Fabio ; de Campos, Luis M. ; Fernández-Luna, Juan M. ; Huete, Juan F. ; Zhang, Nevin Lianwen ; Nielsen, Thomas Dyhre</creatorcontrib><description>New standards in document representation, like for example SGML, XML, and MPEG-7, compel Information Retrieval to design and implement models and tools to index, retrieve and present documents according to the given document structure. The paper presents the design of an Information Retrieval system for multimedia structured documents, like for example journal articles, e-books, and MPEG-7 videos. The system is based on Bayesian Networks, since this class of mathematical models enable to represent and quantify the relations between the structural components of the document. Some preliminary results on the system implementation are also presented.</description><identifier>ISSN: 0302-9743</identifier><identifier>ISBN: 9783540404941</identifier><identifier>ISBN: 3540404945</identifier><identifier>EISSN: 1611-3349</identifier><identifier>EISBN: 9783540450627</identifier><identifier>EISBN: 3540450629</identifier><identifier>DOI: 10.1007/978-3-540-45062-7_6</identifier><language>eng</language><publisher>Berlin, Heidelberg: Springer Berlin Heidelberg</publisher><subject>Applied sciences ; Artificial intelligence ; Bayesian Network ; Computer science; control theory; systems ; Exact sciences and technology ; Information Retrieval ; Information Retrieval System ; Information systems. Data bases ; Learning and adaptive systems ; Memory organisation. Data processing ; Retrieval Model ; Software ; Structural Unit</subject><ispartof>Lecture notes in computer science, 2003, p.74-86</ispartof><rights>Springer-Verlag Berlin Heidelberg 2003</rights><rights>2004 INIST-CNRS</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><relation>Lecture Notes in Computer Science</relation></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/978-3-540-45062-7_6$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/978-3-540-45062-7_6$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>309,310,779,780,784,789,790,793,4048,4049,27923,38253,41440,42509</link.rule.ids><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=15567925$$DView record in Pascal Francis$$Hfree_for_read</backlink></links><search><contributor>Zhang, Nevin Lianwen</contributor><contributor>Nielsen, Thomas Dyhre</contributor><creatorcontrib>Crestani, Fabio</creatorcontrib><creatorcontrib>de Campos, Luis M.</creatorcontrib><creatorcontrib>Fernández-Luna, Juan M.</creatorcontrib><creatorcontrib>Huete, Juan F.</creatorcontrib><title>A Multi-layered Bayesian Network Model for Structured Document Retrieval</title><title>Lecture notes in computer science</title><description>New standards in document representation, like for example SGML, XML, and MPEG-7, compel Information Retrieval to design and implement models and tools to index, retrieve and present documents according to the given document structure. The paper presents the design of an Information Retrieval system for multimedia structured documents, like for example journal articles, e-books, and MPEG-7 videos. The system is based on Bayesian Networks, since this class of mathematical models enable to represent and quantify the relations between the structural components of the document. Some preliminary results on the system implementation are also presented.</description><subject>Applied sciences</subject><subject>Artificial intelligence</subject><subject>Bayesian Network</subject><subject>Computer science; control theory; systems</subject><subject>Exact sciences and technology</subject><subject>Information Retrieval</subject><subject>Information Retrieval System</subject><subject>Information systems. Data bases</subject><subject>Learning and adaptive systems</subject><subject>Memory organisation. Data processing</subject><subject>Retrieval Model</subject><subject>Software</subject><subject>Structural Unit</subject><issn>0302-9743</issn><issn>1611-3349</issn><isbn>9783540404941</isbn><isbn>3540404945</isbn><isbn>9783540450627</isbn><isbn>3540450629</isbn><fulltext>true</fulltext><rsrctype>book_chapter</rsrctype><creationdate>2003</creationdate><recordtype>book_chapter</recordtype><recordid>eNpFkMlOwzAURc0kUUq_gE02LA3Pc7wsY5FakBjWlpPYKDRNKjsB9e9xWyRWV7r36EnvIHRB4IoAqGutcsyw4IC5AEmxMvIATVLLUrer1CEaEUkIZozro_8NuObkGI2AAcVacXaKzmL8AgCqNB2h2TRbDE1f48ZuXHBVdpMy1rbNnl3_04Vltugq12S-C9lbH4ayH7bUXVcOK9f22avrQ-2-bXOOTrxtopv85Rh9PNy_387w_OXx6XY6x2uqoMdC59oXnLJKSUe05bkXpSx8kdOq0JR6Ib3THiQpiGfKKcsra6GyhbbSM83G6HJ_d21jaRsfbFvW0axDvbJhY4gQMj0mEkf2XExT--mCKbpuGQ0Bs1VqkiDDTFJkdv5MUsp-AYu-ZNs</recordid><startdate>2003</startdate><enddate>2003</enddate><creator>Crestani, Fabio</creator><creator>de Campos, Luis M.</creator><creator>Fernández-Luna, Juan M.</creator><creator>Huete, Juan F.</creator><general>Springer Berlin Heidelberg</general><general>Springer</general><scope>IQODW</scope></search><sort><creationdate>2003</creationdate><title>A Multi-layered Bayesian Network Model for Structured Document Retrieval</title><author>Crestani, Fabio ; de Campos, Luis M. ; Fernández-Luna, Juan M. ; Huete, Juan F.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-p270t-5989fb423d76e19a48f5c6bfb82db922f56fe9f061b1f37e7a4daa0dab9a6f393</frbrgroupid><rsrctype>book_chapters</rsrctype><prefilter>book_chapters</prefilter><language>eng</language><creationdate>2003</creationdate><topic>Applied sciences</topic><topic>Artificial intelligence</topic><topic>Bayesian Network</topic><topic>Computer science; control theory; systems</topic><topic>Exact sciences and technology</topic><topic>Information Retrieval</topic><topic>Information Retrieval System</topic><topic>Information systems. Data bases</topic><topic>Learning and adaptive systems</topic><topic>Memory organisation. Data processing</topic><topic>Retrieval Model</topic><topic>Software</topic><topic>Structural Unit</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Crestani, Fabio</creatorcontrib><creatorcontrib>de Campos, Luis M.</creatorcontrib><creatorcontrib>Fernández-Luna, Juan M.</creatorcontrib><creatorcontrib>Huete, Juan F.</creatorcontrib><collection>Pascal-Francis</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Crestani, Fabio</au><au>de Campos, Luis M.</au><au>Fernández-Luna, Juan M.</au><au>Huete, Juan F.</au><au>Zhang, Nevin Lianwen</au><au>Nielsen, Thomas Dyhre</au><format>book</format><genre>bookitem</genre><ristype>CHAP</ristype><atitle>A Multi-layered Bayesian Network Model for Structured Document Retrieval</atitle><btitle>Lecture notes in computer science</btitle><seriestitle>Lecture Notes in Computer Science</seriestitle><date>2003</date><risdate>2003</risdate><spage>74</spage><epage>86</epage><pages>74-86</pages><issn>0302-9743</issn><eissn>1611-3349</eissn><isbn>9783540404941</isbn><isbn>3540404945</isbn><eisbn>9783540450627</eisbn><eisbn>3540450629</eisbn><abstract>New standards in document representation, like for example SGML, XML, and MPEG-7, compel Information Retrieval to design and implement models and tools to index, retrieve and present documents according to the given document structure. The paper presents the design of an Information Retrieval system for multimedia structured documents, like for example journal articles, e-books, and MPEG-7 videos. The system is based on Bayesian Networks, since this class of mathematical models enable to represent and quantify the relations between the structural components of the document. Some preliminary results on the system implementation are also presented.</abstract><cop>Berlin, Heidelberg</cop><pub>Springer Berlin Heidelberg</pub><doi>10.1007/978-3-540-45062-7_6</doi><tpages>13</tpages><oa>free_for_read</oa></addata></record> |
| fulltext | fulltext |
| identifier | ISSN: 0302-9743 |
| ispartof | Lecture notes in computer science, 2003, p.74-86 |
| issn | 0302-9743 1611-3349 |
| language | eng |
| recordid | cdi_pascalfrancis_primary_15567925 |
| source | Springer Books |
| subjects | Applied sciences Artificial intelligence Bayesian Network Computer science control theory systems Exact sciences and technology Information Retrieval Information Retrieval System Information systems. Data bases Learning and adaptive systems Memory organisation. Data processing Retrieval Model Software Structural Unit |
| title | A Multi-layered Bayesian Network Model for Structured Document Retrieval |
| url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-10T07%3A17%3A33IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-pascalfrancis_sprin&rft_val_fmt=info:ofi/fmt:kev:mtx:book&rft.genre=bookitem&rft.atitle=A%20Multi-layered%20Bayesian%20Network%20Model%20for%20Structured%20Document%20Retrieval&rft.btitle=Lecture%20notes%20in%20computer%20science&rft.au=Crestani,%20Fabio&rft.date=2003&rft.spage=74&rft.epage=86&rft.pages=74-86&rft.issn=0302-9743&rft.eissn=1611-3349&rft.isbn=9783540404941&rft.isbn_list=3540404945&rft_id=info:doi/10.1007/978-3-540-45062-7_6&rft_dat=%3Cpascalfrancis_sprin%3E15567925%3C/pascalfrancis_sprin%3E%3Curl%3E%3C/url%3E&rft.eisbn=9783540450627&rft.eisbn_list=3540450629&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_id=info:pmid/&rfr_iscdi=true |