Review and Perspective of Markov Network Information Retrieval Model

Review and Perspective of Markov Network Information Retrieval Model

Markov network information retrieval model integrates computer, Atopology and possibility which is a powerful tool for representation and inference of possibility knowledge. This paper mainly introduces background and the general theory of the model. Several information retrieval models based on the...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Hauptverfasser: Gan, Lixin, Tu, Wei, Liu, Guodong, Yu, Junying
Format: Tagungsbericht
Sprache:eng
Schlagworte:
Computational modeling
Educational institutions
Information retrieval
Markov random fields
Mutual information
Semantics
Online-Zugang:Volltext bestellen
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page 4
container_issue
container_start_page 1
container_title
container_volume
creator Gan, Lixin
Tu, Wei
Liu, Guodong
Yu, Junying
description Markov network information retrieval model integrates computer, Atopology and possibility which is a powerful tool for representation and inference of possibility knowledge. This paper mainly introduces background and the general theory of the model. Several information retrieval models based on the Markov network are summed up from different perspective of Markov network space. Finally, the future work on the model is proposed.
doi_str_mv 10.1109/wicom.2011.6040277
format Conference Proceeding
fullrecord <record><control><sourceid>ieee_6IE</sourceid><recordid>TN_cdi_ieee_primary_6040277</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><ieee_id>6040277</ieee_id><sourcerecordid>6040277</sourcerecordid><originalsourceid>FETCH-LOGICAL-i175t-2d5680307f2ef81dfa85e647a48cdedf8a977489a1a1403c4110840ef3a6639f3</originalsourceid><addsrcrecordid>eNo1kNFKwzAUhiMqOGdfQG_yAq3nJGmSXsp0OthUhl6P0J5A3NqMtLT49grOq5_v5oPvZ-wWoUCE6n4KdWwLAYiFBgXCmDN2jUoopUWJ5pxllbH_DPqCzQRqzCut9BXL-v4LACQaY6ydscctjYEm7rqGv1Pqj1QPYSQePd-4tI8jf6VhimnPV52PqXVDiB3f0pACje7AN7Ghww279O7QU3baOftcPn0sXvL12_Nq8bDOA5pyyEVTagsSjBfkLTbe2ZK0Mk7ZuqHGW1cZo2zl0KECWavfXKuAvHRay8rLObv78wYi2h1TaF363p1OkD80K05J</addsrcrecordid><sourcetype>Publisher</sourcetype><iscdi>true</iscdi><recordtype>conference_proceeding</recordtype></control><display><type>conference_proceeding</type><title>Review and Perspective of Markov Network Information Retrieval Model</title><source>IEEE Electronic Library (IEL) Conference Proceedings</source><creator>Gan, Lixin ; Tu, Wei ; Liu, Guodong ; Yu, Junying</creator><creatorcontrib>Gan, Lixin ; Tu, Wei ; Liu, Guodong ; Yu, Junying</creatorcontrib><description>Markov network information retrieval model integrates computer, Atopology and possibility which is a powerful tool for representation and inference of possibility knowledge. This paper mainly introduces background and the general theory of the model. Several information retrieval models based on the Markov network are summed up from different perspective of Markov network space. Finally, the future work on the model is proposed.</description><identifier>ISSN: 2161-9646</identifier><identifier>ISBN: 9781424462506</identifier><identifier>ISBN: 1424462509</identifier><identifier>EISBN: 1424462517</identifier><identifier>EISBN: 9781424462513</identifier><identifier>EISBN: 9781424462520</identifier><identifier>EISBN: 1424462525</identifier><identifier>DOI: 10.1109/wicom.2011.6040277</identifier><language>eng</language><publisher>IEEE</publisher><subject>Computational modeling ; Educational institutions ; Information retrieval ; Markov random fields ; Mutual information ; Semantics</subject><ispartof>2011 7th International Conference on Wireless Communications, Networking and Mobile Computing, 2011, p.1-4</ispartof><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/6040277$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>309,310,780,784,789,790,2058,27925,54920</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/6040277$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc></links><search><creatorcontrib>Gan, Lixin</creatorcontrib><creatorcontrib>Tu, Wei</creatorcontrib><creatorcontrib>Liu, Guodong</creatorcontrib><creatorcontrib>Yu, Junying</creatorcontrib><title>Review and Perspective of Markov Network Information Retrieval Model</title><title>2011 7th International Conference on Wireless Communications, Networking and Mobile Computing</title><addtitle>wicom</addtitle><description>Markov network information retrieval model integrates computer, Atopology and possibility which is a powerful tool for representation and inference of possibility knowledge. This paper mainly introduces background and the general theory of the model. Several information retrieval models based on the Markov network are summed up from different perspective of Markov network space. Finally, the future work on the model is proposed.</description><subject>Computational modeling</subject><subject>Educational institutions</subject><subject>Information retrieval</subject><subject>Markov random fields</subject><subject>Mutual information</subject><subject>Semantics</subject><issn>2161-9646</issn><isbn>9781424462506</isbn><isbn>1424462509</isbn><isbn>1424462517</isbn><isbn>9781424462513</isbn><isbn>9781424462520</isbn><isbn>1424462525</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2011</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><sourceid>RIE</sourceid><recordid>eNo1kNFKwzAUhiMqOGdfQG_yAq3nJGmSXsp0OthUhl6P0J5A3NqMtLT49grOq5_v5oPvZ-wWoUCE6n4KdWwLAYiFBgXCmDN2jUoopUWJ5pxllbH_DPqCzQRqzCut9BXL-v4LACQaY6ydscctjYEm7rqGv1Pqj1QPYSQePd-4tI8jf6VhimnPV52PqXVDiB3f0pACje7AN7Ghww279O7QU3baOftcPn0sXvL12_Nq8bDOA5pyyEVTagsSjBfkLTbe2ZK0Mk7ZuqHGW1cZo2zl0KECWavfXKuAvHRay8rLObv78wYi2h1TaF363p1OkD80K05J</recordid><startdate>201109</startdate><enddate>201109</enddate><creator>Gan, Lixin</creator><creator>Tu, Wei</creator><creator>Liu, Guodong</creator><creator>Yu, Junying</creator><general>IEEE</general><scope>6IE</scope><scope>6IL</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIL</scope></search><sort><creationdate>201109</creationdate><title>Review and Perspective of Markov Network Information Retrieval Model</title><author>Gan, Lixin ; Tu, Wei ; Liu, Guodong ; Yu, Junying</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i175t-2d5680307f2ef81dfa85e647a48cdedf8a977489a1a1403c4110840ef3a6639f3</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2011</creationdate><topic>Computational modeling</topic><topic>Educational institutions</topic><topic>Information retrieval</topic><topic>Markov random fields</topic><topic>Mutual information</topic><topic>Semantics</topic><toplevel>online_resources</toplevel><creatorcontrib>Gan, Lixin</creatorcontrib><creatorcontrib>Tu, Wei</creatorcontrib><creatorcontrib>Liu, Guodong</creatorcontrib><creatorcontrib>Yu, Junying</creatorcontrib><collection>IEEE Electronic Library (IEL) Conference Proceedings</collection><collection>IEEE Proceedings Order Plan All Online (POP All Online) 1998-present by volume</collection><collection>IEEE Xplore All Conference Proceedings</collection><collection>IEEE Electronic Library (IEL)</collection><collection>IEEE Proceedings Order Plans (POP All) 1998-Present</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Gan, Lixin</au><au>Tu, Wei</au><au>Liu, Guodong</au><au>Yu, Junying</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>Review and Perspective of Markov Network Information Retrieval Model</atitle><btitle>2011 7th International Conference on Wireless Communications, Networking and Mobile Computing</btitle><stitle>wicom</stitle><date>2011-09</date><risdate>2011</risdate><spage>1</spage><epage>4</epage><pages>1-4</pages><issn>2161-9646</issn><isbn>9781424462506</isbn><isbn>1424462509</isbn><eisbn>1424462517</eisbn><eisbn>9781424462513</eisbn><eisbn>9781424462520</eisbn><eisbn>1424462525</eisbn><abstract>Markov network information retrieval model integrates computer, Atopology and possibility which is a powerful tool for representation and inference of possibility knowledge. This paper mainly introduces background and the general theory of the model. Several information retrieval models based on the Markov network are summed up from different perspective of Markov network space. Finally, the future work on the model is proposed.</abstract><pub>IEEE</pub><doi>10.1109/wicom.2011.6040277</doi><tpages>4</tpages></addata></record>
fulltext fulltext_linktorsrc
identifier ISSN: 2161-9646
ispartof 2011 7th International Conference on Wireless Communications, Networking and Mobile Computing, 2011, p.1-4
issn 2161-9646
language eng
recordid cdi_ieee_primary_6040277
source IEEE Electronic Library (IEL) Conference Proceedings
subjects Computational modeling
Educational institutions
Information retrieval
Markov random fields
Mutual information
Semantics
title Review and Perspective of Markov Network Information Retrieval Model
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-04T07%3A30%3A07IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-ieee_6IE&rft_val_fmt=info:ofi/fmt:kev:mtx:book&rft.genre=proceeding&rft.atitle=Review%20and%20Perspective%20of%20Markov%20Network%20Information%20Retrieval%20Model&rft.btitle=2011%207th%20International%20Conference%20on%20Wireless%20Communications,%20Networking%20and%20Mobile%20Computing&rft.au=Gan,%20Lixin&rft.date=2011-09&rft.spage=1&rft.epage=4&rft.pages=1-4&rft.issn=2161-9646&rft.isbn=9781424462506&rft.isbn_list=1424462509&rft_id=info:doi/10.1109/wicom.2011.6040277&rft_dat=%3Cieee_6IE%3E6040277%3C/ieee_6IE%3E%3Curl%3E%3C/url%3E&rft.eisbn=1424462517&rft.eisbn_list=9781424462513&rft.eisbn_list=9781424462520&rft.eisbn_list=1424462525&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_id=info:pmid/&rft_ieee_id=6040277&rfr_iscdi=true