Towards Information Fusion in Pathway Evaluation: Encoding Relations in Biomedical Texts
The long-term goal of the research presented in this paper is to incorporate linguistic text analysis into a system for evaluation of biological pathways. In this system, relations extracted from biomedical texts will be compared with pathways encoded in existing specialized databases. In this way,...
Gespeichert in:
| Hauptverfasser: | , , , |
|---|---|
| Format: | Tagungsbericht |
| Sprache: | eng |
| Schlagworte: | |
| Online-Zugang: | Volltext bestellen |
| Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
| container_end_page | 7 |
|---|---|
| container_issue | |
| container_start_page | 1 |
| container_title | |
| container_volume | |
| creator | Dura, E. Gawronska, B. Olsson, B. Erlendsson, B. |
| description | The long-term goal of the research presented in this paper is to incorporate linguistic text analysis into a system for evaluation of biological pathways. In this system, relations extracted from biomedical texts will be compared with pathways encoded in existing specialized databases. In this way, the biologist's conclusions regarding the plausibility and/or novelty of a certain relation between genes, proteins, etc., can be supported by fused information from biological databases and biological literature. We aim at overcoming the shortcomings of existing systems for information retrieval by proposing a method based on thorough linguistic analysis of a large text corpus. In this paper, we present a comparative analysis of two corpora: one consisting of biomedical texts from PubMed, the other one of general English prose. The results stress the importance of taking multiword entries into account when constructing a system for extracting biological relations from texts |
| doi_str_mv | 10.1109/ICIF.2006.301666 |
| format | Conference Proceeding |
| fullrecord | <record><control><sourceid>swepub_6IE</sourceid><recordid>TN_cdi_ieee_primary_4085952</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><ieee_id>4085952</ieee_id><sourcerecordid>oai_DiVA_org_his_1916</sourcerecordid><originalsourceid>FETCH-LOGICAL-i1266-fe1d8ca549b22db14b564eb5d054879133147ca43acaa476c7613f9b9fc4fd253</originalsourceid><addsrcrecordid>eNo9jEtLAzEUhSMiqLV7wU320pqb10zc1drqQEGRKu6GO5NMG5lOyqS19t_bh3g2H5zzcQi5BtYHYOYuG2bjPmdM9wUDrfUJ6ZokZSbhkEqp1Sm5BMmlZEYJdU66MX6xXYRRoNML8jkNG2xtpFlThXaBKx8aOl7HPXxDX3E13-CWjr6xXh_GezpqymB9M6Nvrj5UcW8--LBw1pdY06n7WcUrclZhHV33jx3yPh5Nh8-9yctTNhxMeh641r3KgU1LVNIUnNsCZKG0dIWyTMk0MSAEyKREKbBElIkuEw2iMoWpSllZrkSH3B5_48Yt10W-bP0C220e0OeP_mOQh3aWz33MwYDe2TdH2zvn_l3JUmUUF7-lfWKT</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>conference_proceeding</recordtype></control><display><type>conference_proceeding</type><title>Towards Information Fusion in Pathway Evaluation: Encoding Relations in Biomedical Texts</title><source>IEEE Electronic Library (IEL) Conference Proceedings</source><creator>Dura, E. ; Gawronska, B. ; Olsson, B. ; Erlendsson, B.</creator><creatorcontrib>Dura, E. ; Gawronska, B. ; Olsson, B. ; Erlendsson, B.</creatorcontrib><description>The long-term goal of the research presented in this paper is to incorporate linguistic text analysis into a system for evaluation of biological pathways. In this system, relations extracted from biomedical texts will be compared with pathways encoded in existing specialized databases. In this way, the biologist's conclusions regarding the plausibility and/or novelty of a certain relation between genes, proteins, etc., can be supported by fused information from biological databases and biological literature. We aim at overcoming the shortcomings of existing systems for information retrieval by proposing a method based on thorough linguistic analysis of a large text corpus. In this paper, we present a comparative analysis of two corpora: one consisting of biomedical texts from PubMed, the other one of general English prose. The results stress the importance of taking multiword entries into account when constructing a system for extracting biological relations from texts</description><identifier>ISBN: 1424409535</identifier><identifier>ISBN: 9781424409532</identifier><identifier>EISBN: 9780972184465</identifier><identifier>EISBN: 0972184465</identifier><identifier>DOI: 10.1109/ICIF.2006.301666</identifier><language>eng</language><publisher>IEEE</publisher><subject>Bioinformatics ; Biological information theory ; Biomedical informatics ; corpus analysis ; Data mining ; Encoding ; Information analysis ; information extraction ; Information retrieval ; multiword expressions ; Proteins ; relation extraction ; Text analysis ; text mining</subject><ispartof>2006 9th International Conference on Information Fusion, 2006, p.1-7</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/4085952$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>230,309,310,780,784,789,790,885,2058,4050,4051,27925,54920</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/4085952$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc><backlink>$$Uhttps://urn.kb.se/resolve?urn=urn:nbn:se:his:diva-1916$$DView record from Swedish Publication Index$$Hfree_for_read</backlink></links><search><creatorcontrib>Dura, E.</creatorcontrib><creatorcontrib>Gawronska, B.</creatorcontrib><creatorcontrib>Olsson, B.</creatorcontrib><creatorcontrib>Erlendsson, B.</creatorcontrib><title>Towards Information Fusion in Pathway Evaluation: Encoding Relations in Biomedical Texts</title><title>2006 9th International Conference on Information Fusion</title><addtitle>ICIF</addtitle><description>The long-term goal of the research presented in this paper is to incorporate linguistic text analysis into a system for evaluation of biological pathways. In this system, relations extracted from biomedical texts will be compared with pathways encoded in existing specialized databases. In this way, the biologist's conclusions regarding the plausibility and/or novelty of a certain relation between genes, proteins, etc., can be supported by fused information from biological databases and biological literature. We aim at overcoming the shortcomings of existing systems for information retrieval by proposing a method based on thorough linguistic analysis of a large text corpus. In this paper, we present a comparative analysis of two corpora: one consisting of biomedical texts from PubMed, the other one of general English prose. The results stress the importance of taking multiword entries into account when constructing a system for extracting biological relations from texts</description><subject>Bioinformatics</subject><subject>Biological information theory</subject><subject>Biomedical informatics</subject><subject>corpus analysis</subject><subject>Data mining</subject><subject>Encoding</subject><subject>Information analysis</subject><subject>information extraction</subject><subject>Information retrieval</subject><subject>multiword expressions</subject><subject>Proteins</subject><subject>relation extraction</subject><subject>Text analysis</subject><subject>text mining</subject><isbn>1424409535</isbn><isbn>9781424409532</isbn><isbn>9780972184465</isbn><isbn>0972184465</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2006</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><sourceid>RIE</sourceid><recordid>eNo9jEtLAzEUhSMiqLV7wU320pqb10zc1drqQEGRKu6GO5NMG5lOyqS19t_bh3g2H5zzcQi5BtYHYOYuG2bjPmdM9wUDrfUJ6ZokZSbhkEqp1Sm5BMmlZEYJdU66MX6xXYRRoNML8jkNG2xtpFlThXaBKx8aOl7HPXxDX3E13-CWjr6xXh_GezpqymB9M6Nvrj5UcW8--LBw1pdY06n7WcUrclZhHV33jx3yPh5Nh8-9yctTNhxMeh641r3KgU1LVNIUnNsCZKG0dIWyTMk0MSAEyKREKbBElIkuEw2iMoWpSllZrkSH3B5_48Yt10W-bP0C220e0OeP_mOQh3aWz33MwYDe2TdH2zvn_l3JUmUUF7-lfWKT</recordid><startdate>200607</startdate><enddate>200607</enddate><creator>Dura, E.</creator><creator>Gawronska, B.</creator><creator>Olsson, B.</creator><creator>Erlendsson, B.</creator><general>IEEE</general><scope>6IE</scope><scope>6IL</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIL</scope><scope>ADTPV</scope><scope>BNKNJ</scope><scope>DF6</scope></search><sort><creationdate>200607</creationdate><title>Towards Information Fusion in Pathway Evaluation: Encoding Relations in Biomedical Texts</title><author>Dura, E. ; Gawronska, B. ; Olsson, B. ; Erlendsson, B.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i1266-fe1d8ca549b22db14b564eb5d054879133147ca43acaa476c7613f9b9fc4fd253</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2006</creationdate><topic>Bioinformatics</topic><topic>Biological information theory</topic><topic>Biomedical informatics</topic><topic>corpus analysis</topic><topic>Data mining</topic><topic>Encoding</topic><topic>Information analysis</topic><topic>information extraction</topic><topic>Information retrieval</topic><topic>multiword expressions</topic><topic>Proteins</topic><topic>relation extraction</topic><topic>Text analysis</topic><topic>text mining</topic><toplevel>online_resources</toplevel><creatorcontrib>Dura, E.</creatorcontrib><creatorcontrib>Gawronska, B.</creatorcontrib><creatorcontrib>Olsson, B.</creatorcontrib><creatorcontrib>Erlendsson, B.</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><collection>SwePub</collection><collection>SwePub Conference</collection><collection>SWEPUB Högskolan i Skövde</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Dura, E.</au><au>Gawronska, B.</au><au>Olsson, B.</au><au>Erlendsson, B.</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>Towards Information Fusion in Pathway Evaluation: Encoding Relations in Biomedical Texts</atitle><btitle>2006 9th International Conference on Information Fusion</btitle><stitle>ICIF</stitle><date>2006-07</date><risdate>2006</risdate><spage>1</spage><epage>7</epage><pages>1-7</pages><isbn>1424409535</isbn><isbn>9781424409532</isbn><eisbn>9780972184465</eisbn><eisbn>0972184465</eisbn><abstract>The long-term goal of the research presented in this paper is to incorporate linguistic text analysis into a system for evaluation of biological pathways. In this system, relations extracted from biomedical texts will be compared with pathways encoded in existing specialized databases. In this way, the biologist's conclusions regarding the plausibility and/or novelty of a certain relation between genes, proteins, etc., can be supported by fused information from biological databases and biological literature. We aim at overcoming the shortcomings of existing systems for information retrieval by proposing a method based on thorough linguistic analysis of a large text corpus. In this paper, we present a comparative analysis of two corpora: one consisting of biomedical texts from PubMed, the other one of general English prose. The results stress the importance of taking multiword entries into account when constructing a system for extracting biological relations from texts</abstract><pub>IEEE</pub><doi>10.1109/ICIF.2006.301666</doi><tpages>7</tpages></addata></record> |
| fulltext | fulltext_linktorsrc |
| identifier | ISBN: 1424409535 |
| ispartof | 2006 9th International Conference on Information Fusion, 2006, p.1-7 |
| issn | |
| language | eng |
| recordid | cdi_ieee_primary_4085952 |
| source | IEEE Electronic Library (IEL) Conference Proceedings |
| subjects | Bioinformatics Biological information theory Biomedical informatics corpus analysis Data mining Encoding Information analysis information extraction Information retrieval multiword expressions Proteins relation extraction Text analysis text mining |
| title | Towards Information Fusion in Pathway Evaluation: Encoding Relations in Biomedical Texts |
| url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2024-12-24T18%3A22%3A18IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-swepub_6IE&rft_val_fmt=info:ofi/fmt:kev:mtx:book&rft.genre=proceeding&rft.atitle=Towards%20Information%20Fusion%20in%20Pathway%20Evaluation:%20Encoding%20Relations%20in%20Biomedical%20Texts&rft.btitle=2006%209th%20International%20Conference%20on%20Information%20Fusion&rft.au=Dura,%20E.&rft.date=2006-07&rft.spage=1&rft.epage=7&rft.pages=1-7&rft.isbn=1424409535&rft.isbn_list=9781424409532&rft_id=info:doi/10.1109/ICIF.2006.301666&rft_dat=%3Cswepub_6IE%3Eoai_DiVA_org_his_1916%3C/swepub_6IE%3E%3Curl%3E%3C/url%3E&rft.eisbn=9780972184465&rft.eisbn_list=0972184465&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_id=info:pmid/&rft_ieee_id=4085952&rfr_iscdi=true |