From keywords to links: an automatic approach
This study explores using keywords to automatically generate hyperlinks for large sets of reference materials. A content analysis was performed and the results indicate that keywords seem to be closely associated with manually generated hyperlinks. Two prototypes were developed, differing in whether...
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creator | Jihong Zeng Bloniarz, P.A. |
description | This study explores using keywords to automatically generate hyperlinks for large sets of reference materials. A content analysis was performed and the results indicate that keywords seem to be closely associated with manually generated hyperlinks. Two prototypes were developed, differing in whether the keywords were manually generated by the author, or mechanically extracted by an automatic process. In both prototypes, different types of intra-document and inter-document links were generated. A preliminary evaluation on the first prototype (which was based on manually identified keywords) shows that this prototype system holds promise for further exploration. In the second prototype, keywords were automatically extracted with Oracle Text gist/theme generation tools. Although the automatically extracted keywords were different from those identified by authors, there was a significant overlap between the set of links generated by each prototype. The next step will be testing the usefulness of this automatic approach with a thorough user evaluation. |
doi_str_mv | 10.1109/ITCC.2004.1286467 |
format | Conference Proceeding |
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A content analysis was performed and the results indicate that keywords seem to be closely associated with manually generated hyperlinks. Two prototypes were developed, differing in whether the keywords were manually generated by the author, or mechanically extracted by an automatic process. In both prototypes, different types of intra-document and inter-document links were generated. A preliminary evaluation on the first prototype (which was based on manually identified keywords) shows that this prototype system holds promise for further exploration. In the second prototype, keywords were automatically extracted with Oracle Text gist/theme generation tools. Although the automatically extracted keywords were different from those identified by authors, there was a significant overlap between the set of links generated by each prototype. The next step will be testing the usefulness of this automatic approach with a thorough user evaluation.</description><identifier>ISBN: 0769521088</identifier><identifier>ISBN: 9780769521084</identifier><identifier>DOI: 10.1109/ITCC.2004.1286467</identifier><language>eng</language><publisher>IEEE</publisher><subject>Automatic testing ; Data mining ; Humans ; Information analysis ; Information retrieval ; Information science ; Materials science and technology ; Performance analysis ; Prototypes ; Technology management</subject><ispartof>International Conference on Information Technology: Coding and Computing, 2004. Proceedings. 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A content analysis was performed and the results indicate that keywords seem to be closely associated with manually generated hyperlinks. Two prototypes were developed, differing in whether the keywords were manually generated by the author, or mechanically extracted by an automatic process. In both prototypes, different types of intra-document and inter-document links were generated. A preliminary evaluation on the first prototype (which was based on manually identified keywords) shows that this prototype system holds promise for further exploration. In the second prototype, keywords were automatically extracted with Oracle Text gist/theme generation tools. Although the automatically extracted keywords were different from those identified by authors, there was a significant overlap between the set of links generated by each prototype. The next step will be testing the usefulness of this automatic approach with a thorough user evaluation.</description><subject>Automatic testing</subject><subject>Data mining</subject><subject>Humans</subject><subject>Information analysis</subject><subject>Information retrieval</subject><subject>Information science</subject><subject>Materials science and technology</subject><subject>Performance analysis</subject><subject>Prototypes</subject><subject>Technology management</subject><isbn>0769521088</isbn><isbn>9780769521084</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2004</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><sourceid>RIE</sourceid><recordid>eNotj81KAzEYAAMiqLUPIF7yArvmP1-8yWJtoeClnkt-MbbbLMmK9O0V7FzmNjAIPVDSU0rM02Y3DD0jRPSUgRJKX6E7opWRjBKAG7Rs7Yv8wY0w0tyiblXLiA_x_FNqaHgu-JhPh_aM7Qnb77mMds4e22mqxfrPe3Sd7LHF5cUL9LF63Q3rbvv-thletl2mms-dMMZBcMyJELlx0TATLWgtfFKKCB3BKyUt91GmRKTjQAEC-CClFRoSX6DH_26OMe6nmkdbz_vLEf8F4EBA1w</recordid><startdate>2004</startdate><enddate>2004</enddate><creator>Jihong Zeng</creator><creator>Bloniarz, P.A.</creator><general>IEEE</general><scope>6IE</scope><scope>6IL</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIL</scope></search><sort><creationdate>2004</creationdate><title>From keywords to links: an automatic approach</title><author>Jihong Zeng ; Bloniarz, P.A.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i173t-499b8db2b4de39be929ea8774cf66047e8c665a3ce5ff05b38188d8cd55a478f3</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2004</creationdate><topic>Automatic testing</topic><topic>Data mining</topic><topic>Humans</topic><topic>Information analysis</topic><topic>Information retrieval</topic><topic>Information science</topic><topic>Materials science and technology</topic><topic>Performance analysis</topic><topic>Prototypes</topic><topic>Technology management</topic><toplevel>online_resources</toplevel><creatorcontrib>Jihong Zeng</creatorcontrib><creatorcontrib>Bloniarz, P.A.</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 Xplore</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>Jihong Zeng</au><au>Bloniarz, P.A.</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>From keywords to links: an automatic approach</atitle><btitle>International Conference on Information Technology: Coding and Computing, 2004. Proceedings. ITCC 2004</btitle><stitle>ITCC</stitle><date>2004</date><risdate>2004</risdate><volume>1</volume><spage>283</spage><epage>286 Vol.1</epage><pages>283-286 Vol.1</pages><isbn>0769521088</isbn><isbn>9780769521084</isbn><abstract>This study explores using keywords to automatically generate hyperlinks for large sets of reference materials. A content analysis was performed and the results indicate that keywords seem to be closely associated with manually generated hyperlinks. Two prototypes were developed, differing in whether the keywords were manually generated by the author, or mechanically extracted by an automatic process. In both prototypes, different types of intra-document and inter-document links were generated. A preliminary evaluation on the first prototype (which was based on manually identified keywords) shows that this prototype system holds promise for further exploration. In the second prototype, keywords were automatically extracted with Oracle Text gist/theme generation tools. Although the automatically extracted keywords were different from those identified by authors, there was a significant overlap between the set of links generated by each prototype. The next step will be testing the usefulness of this automatic approach with a thorough user evaluation.</abstract><pub>IEEE</pub><doi>10.1109/ITCC.2004.1286467</doi></addata></record> |
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ispartof | International Conference on Information Technology: Coding and Computing, 2004. Proceedings. ITCC 2004, 2004, Vol.1, p.283-286 Vol.1 |
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language | eng |
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source | IEEE Electronic Library (IEL) Conference Proceedings |
subjects | Automatic testing Data mining Humans Information analysis Information retrieval Information science Materials science and technology Performance analysis Prototypes Technology management |
title | From keywords to links: an automatic approach |
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