{"id":"https://openalex.org/W1981685240","doi":"https://doi.org/10.1145/1088622.1088656","title":"Enhancing knowledge mapping using automatically derived concepts","display_name":"Enhancing knowledge mapping using automatically derived concepts","publication_year":2005,"publication_date":"2005-10-02","ids":{"openalex":"https://openalex.org/W1981685240","doi":"https://doi.org/10.1145/1088622.1088656","mag":"1981685240"},"language":"en","primary_location":{"id":"doi:10.1145/1088622.1088656","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1088622.1088656","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 3rd international conference on Knowledge capture","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5056061655","display_name":"Anjo Anjewierden","orcid":null},"institutions":[{"id":"https://openalex.org/I887064364","display_name":"University of Amsterdam","ror":"https://ror.org/04dkp9463","country_code":"NL","type":"education","lineage":["https://openalex.org/I887064364"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Anjo Anjewierden","raw_affiliation_strings":["University of Amsterdam, Kruislaan, Amsterdam"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Amsterdam, Kruislaan, Amsterdam","institution_ids":["https://openalex.org/I887064364"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5086535787","display_name":"Willem\u2010Olaf Huijsen","orcid":null},"institutions":[{"id":"https://openalex.org/I88459447","display_name":"Novay","ror":"https://ror.org/00266dp40","country_code":"NL","type":"nonprofit","lineage":["https://openalex.org/I88459447"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Willem-Olaf Huijsen","raw_affiliation_strings":["Telematica Instituut, Enschede"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Telematica Instituut, Enschede","institution_ids":["https://openalex.org/I88459447"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5059932027","display_name":"Marjan Grootveld","orcid":"https://orcid.org/0000-0002-2789-322X"},"institutions":[{"id":"https://openalex.org/I88459447","display_name":"Novay","ror":"https://ror.org/00266dp40","country_code":"NL","type":"nonprofit","lineage":["https://openalex.org/I88459447"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Marjan Grootveld","raw_affiliation_strings":["Telematica Instituut, Enschede"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Telematica Instituut, Enschede","institution_ids":["https://openalex.org/I88459447"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.16748121,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"1","issue":null,"first_page":"177","last_page":"178"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10215","display_name":"Semantic Web and Ontologies","score":0.9979000091552734,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10215","display_name":"Semantic Web and Ontologies","score":0.9979000091552734,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10181","display_name":"Natural Language Processing Techniques","score":0.9977999925613403,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9937999844551086,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8354272842407227},{"id":"https://openalex.org/keywords/markup-language","display_name":"Markup language","score":0.6988710165023804},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.5242631435394287},{"id":"https://openalex.org/keywords/natural-language","display_name":"Natural language","score":0.5074188113212585},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.4616395831108093},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.32716280221939087},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.26425397396087646},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.2190651297569275},{"id":"https://openalex.org/keywords/xml","display_name":"XML","score":0.12221398949623108}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8354272842407227},{"id":"https://openalex.org/C45874996","wikidata":"https://www.wikidata.org/wiki/Q37045","display_name":"Markup language","level":3,"score":0.6988710165023804},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.5242631435394287},{"id":"https://openalex.org/C195324797","wikidata":"https://www.wikidata.org/wiki/Q33742","display_name":"Natural language","level":2,"score":0.5074188113212585},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.4616395831108093},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.32716280221939087},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.26425397396087646},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.2190651297569275},{"id":"https://openalex.org/C8797682","wikidata":"https://www.wikidata.org/wiki/Q2115","display_name":"XML","level":2,"score":0.12221398949623108}],"mesh":[],"locations_count":5,"locations":[{"id":"doi:10.1145/1088622.1088656","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1088622.1088656","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 3rd international conference on Knowledge capture","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.107.6714","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.107.6714","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://staff.science.uva.nl/~anjo/kcap_2005.pdf","raw_type":"text"},{"id":"pmh:oai:dare.uva.nl:openaire_cris_publications/34b8df3e-683f-4402-ac9d-6581acc87401","is_oa":false,"landing_page_url":"https://handle.uba.uva.nl/personal/pure/en/publications/enhancing-knowledge-mapping-using-automatically-derived-concepts(34b8df3e-683f-4402-ac9d-6581acc87401).html","pdf_url":null,"source":{"id":"https://openalex.org/S4306400088","display_name":"UvA-DARE (University of Amsterdam)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I887064364","host_organization_name":"University of Amsterdam","host_organization_lineage":["https://openalex.org/I887064364"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Anjewierden, A A, Huijsen, W-O & Grootveld, M 2005, Enhancing knowledge mapping using automatically derived concepts. in Proc. Third International Conference on Knowledge Capture. Banff, pp. 177-178.","raw_type":"info:eu-repo/semantics/conferenceObject"},{"id":"pmh:oai:dare.uva.nl:publications/34b8df3e-683f-4402-ac9d-6581acc87401","is_oa":false,"landing_page_url":"http://dare.uva.nl/personal/pure/en/publications/enhancing-knowledge-mapping-using-automatically-derived-concepts(34b8df3e-683f-4402-ac9d-6581acc87401).html","pdf_url":null,"source":{"id":"https://openalex.org/S4306400088","display_name":"UvA-DARE (University of Amsterdam)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I887064364","host_organization_name":"University of Amsterdam","host_organization_lineage":["https://openalex.org/I887064364"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Anjewierden, A A, Huijsen, W-O & Grootveld, M 2005, Enhancing knowledge mapping using automatically derived concepts. in Proc. Third International Conference on Knowledge Capture. Banff, pp. 177-178.","raw_type":"info:eu-repo/semantics/conferenceObject"},{"id":"pmh:uvapub:oai:dare.uva.nl:publications/34b8df3e-683f-4402-ac9d-6581acc87401","is_oa":false,"landing_page_url":"https://dare.uva.nl/personal/pure/en/publications/enhancing-knowledge-mapping-using-automatically-derived-concepts(34b8df3e-683f-4402-ac9d-6581acc87401).html","pdf_url":null,"source":{"id":"https://openalex.org/S4306401843","display_name":"Data Archiving and Networked Services (DANS)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1322597698","host_organization_name":"Royal Netherlands Academy of Arts and Sciences","host_organization_lineage":["https://openalex.org/I1322597698"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Proc. Third International Conference on Knowledge Capture, 177 - 178","raw_type":"info:eu-repo/semantics/conferencepaper"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":2,"referenced_works":["https://openalex.org/W1499559602","https://openalex.org/W1991154713"],"related_works":["https://openalex.org/W4385386698","https://openalex.org/W4388119604","https://openalex.org/W2954418080","https://openalex.org/W3121570353","https://openalex.org/W818235636","https://openalex.org/W4388119676","https://openalex.org/W1566913699","https://openalex.org/W2081328318","https://openalex.org/W2043722775","https://openalex.org/W1889092586"],"abstract_inverted_index":{"Knowledge-mapping":[0],"tools":[1,61],"enable":[2],"users":[3],"to":[4],"quickly":[5],"identify":[6],"relevant":[7],"information":[8],"and":[9,49],"expertise.":[10],"This":[11],"paper":[12],"discusses":[13],"a":[14,24,31,35],"number":[15],"of":[16,23,38,41,47,51,59],"natural-language":[17],"phenomena":[18],"that":[19],"limit":[20],"the":[21,39,45,57],"performance":[22],"straightforward":[25],"approach.":[26],"An":[27],"empirical":[28],"study":[29],"on":[30,44],"real-life":[32],"community":[33],"provides":[34],"quantitative":[36],"indication":[37],"impact":[40],"this":[42],"noise":[43],"markup":[46],"concepts":[48],"retrieval":[50],"documents.":[52],"We":[53],"then":[54],"discuss":[55],"enhancing":[56],"usefulness":[58],"knowledge-mapping":[60],"through":[62],"automatically":[63],"derived":[64],"concepts.":[65]},"counts_by_year":[],"updated_date":"2026-08-26T07:47:46.906454","created_date":"2025-10-10T00:00:00"}