{"id":"https://openalex.org/W2046608186","doi":"https://doi.org/10.1145/1066677.1066911","title":"Semantic cores for representing documents in IR","display_name":"Semantic cores for representing documents in IR","publication_year":2005,"publication_date":"2005-03-13","ids":{"openalex":"https://openalex.org/W2046608186","doi":"https://doi.org/10.1145/1066677.1066911","mag":"2046608186"},"language":"en","primary_location":{"id":"doi:10.1145/1066677.1066911","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1066677.1066911","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2005 ACM symposium on Applied computing","raw_type":"proceedings-article"},"type":"article","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/A5053536116","display_name":"Mustapha Baziz","orcid":null},"institutions":[{"id":"https://openalex.org/I134560555","display_name":"Universit\u00e9 Toulouse III - Paul Sabatier","ror":"https://ror.org/02v6kpv12","country_code":"FR","type":"education","lineage":["https://openalex.org/I134560555","https://openalex.org/I4405258862"]}],"countries":["FR"],"is_corresponding":true,"raw_author_name":"Mustapha Baziz","raw_affiliation_strings":["IRIT-Universit\u00e9 Paul Sabatier, France"],"affiliations":[{"raw_affiliation_string":"IRIT-Universit\u00e9 Paul Sabatier, France","institution_ids":["https://openalex.org/I134560555"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5052301458","display_name":"Mohand Boughanem","orcid":"https://orcid.org/0000-0001-7004-0807"},"institutions":[{"id":"https://openalex.org/I134560555","display_name":"Universit\u00e9 Toulouse III - Paul Sabatier","ror":"https://ror.org/02v6kpv12","country_code":"FR","type":"education","lineage":["https://openalex.org/I134560555","https://openalex.org/I4405258862"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Mohand Boughanem","raw_affiliation_strings":["IRIT-Universit\u00e9 Paul Sabatier, France"],"affiliations":[{"raw_affiliation_string":"IRIT-Universit\u00e9 Paul Sabatier, France","institution_ids":["https://openalex.org/I134560555"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5023321275","display_name":"Nathalie Aussenac-Gilles","orcid":"https://orcid.org/0000-0003-3653-3223"},"institutions":[{"id":"https://openalex.org/I134560555","display_name":"Universit\u00e9 Toulouse III - Paul Sabatier","ror":"https://ror.org/02v6kpv12","country_code":"FR","type":"education","lineage":["https://openalex.org/I134560555","https://openalex.org/I4405258862"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Nathalie Aussenac-Gilles","raw_affiliation_strings":["IRIT-Universit\u00e9 Paul Sabatier, France"],"affiliations":[{"raw_affiliation_string":"IRIT-Universit\u00e9 Paul Sabatier, France","institution_ids":["https://openalex.org/I134560555"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5111997903","display_name":"Claude Chrisment","orcid":null},"institutions":[{"id":"https://openalex.org/I134560555","display_name":"Universit\u00e9 Toulouse III - Paul Sabatier","ror":"https://ror.org/02v6kpv12","country_code":"FR","type":"education","lineage":["https://openalex.org/I134560555","https://openalex.org/I4405258862"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Claude Chrisment","raw_affiliation_strings":["IRIT-Universit\u00e9 Paul Sabatier, France"],"affiliations":[{"raw_affiliation_string":"IRIT-Universit\u00e9 Paul Sabatier, France","institution_ids":["https://openalex.org/I134560555"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5053536116"],"corresponding_institution_ids":["https://openalex.org/I134560555"],"apc_list":null,"apc_paid":null,"fwci":9.1339,"has_fulltext":false,"cited_by_count":54,"citation_normalized_percentile":{"value":0.97782414,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"49","issue":null,"first_page":"1011","last_page":"1017"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10215","display_name":"Semantic Web and Ontologies","score":0.9998000264167786,"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":0.9998000264167786,"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":0.9997000098228455,"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":0.9994999766349792,"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":0.8523958921432495},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.8026267290115356},{"id":"https://openalex.org/keywords/search-engine-indexing","display_name":"Search engine indexing","score":0.6869029402732849},{"id":"https://openalex.org/keywords/wordnet","display_name":"WordNet","score":0.6829083561897278},{"id":"https://openalex.org/keywords/ontology","display_name":"Ontology","score":0.682540237903595},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5796179175376892},{"id":"https://openalex.org/keywords/semantic-similarity","display_name":"Semantic similarity","score":0.5258534550666809},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.47167524695396423},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.4580264985561371},{"id":"https://openalex.org/keywords/semantic-computing","display_name":"Semantic computing","score":0.45515602827072144},{"id":"https://openalex.org/keywords/semantic-integration","display_name":"Semantic integration","score":0.4316118061542511},{"id":"https://openalex.org/keywords/core","display_name":"Core (optical fiber)","score":0.42640113830566406},{"id":"https://openalex.org/keywords/explicit-semantic-analysis","display_name":"Explicit semantic analysis","score":0.4235530197620392},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.36186695098876953},{"id":"https://openalex.org/keywords/semantic-technology","display_name":"Semantic technology","score":0.33685192465782166},{"id":"https://openalex.org/keywords/semantic-web","display_name":"Semantic Web","score":0.30666086077690125}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8523958921432495},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.8026267290115356},{"id":"https://openalex.org/C75165309","wikidata":"https://www.wikidata.org/wiki/Q2258979","display_name":"Search engine indexing","level":2,"score":0.6869029402732849},{"id":"https://openalex.org/C157659113","wikidata":"https://www.wikidata.org/wiki/Q533822","display_name":"WordNet","level":2,"score":0.6829083561897278},{"id":"https://openalex.org/C25810664","wikidata":"https://www.wikidata.org/wiki/Q44325","display_name":"Ontology","level":2,"score":0.682540237903595},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5796179175376892},{"id":"https://openalex.org/C130318100","wikidata":"https://www.wikidata.org/wiki/Q2268914","display_name":"Semantic similarity","level":2,"score":0.5258534550666809},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.47167524695396423},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.4580264985561371},{"id":"https://openalex.org/C511149849","wikidata":"https://www.wikidata.org/wiki/Q7449051","display_name":"Semantic computing","level":3,"score":0.45515602827072144},{"id":"https://openalex.org/C110903229","wikidata":"https://www.wikidata.org/wiki/Q7449064","display_name":"Semantic integration","level":4,"score":0.4316118061542511},{"id":"https://openalex.org/C2164484","wikidata":"https://www.wikidata.org/wiki/Q5170150","display_name":"Core (optical fiber)","level":2,"score":0.42640113830566406},{"id":"https://openalex.org/C173862523","wikidata":"https://www.wikidata.org/wiki/Q5421270","display_name":"Explicit semantic analysis","level":5,"score":0.4235530197620392},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.36186695098876953},{"id":"https://openalex.org/C6881194","wikidata":"https://www.wikidata.org/wiki/Q7449091","display_name":"Semantic technology","level":4,"score":0.33685192465782166},{"id":"https://openalex.org/C2129575","wikidata":"https://www.wikidata.org/wiki/Q54837","display_name":"Semantic Web","level":2,"score":0.30666086077690125},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/1066677.1066911","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1066677.1066911","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2005 ACM symposium on Applied computing","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.106.1239","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.106.1239","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.irit.fr/~Mustapha.Baziz/fichiers/ACM_SAC_Baziz_et_al.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Quality Education","score":0.49000000953674316,"id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W22702538","https://openalex.org/W42500033","https://openalex.org/W52666569","https://openalex.org/W58836087","https://openalex.org/W1561908597","https://openalex.org/W1659833910","https://openalex.org/W1971220772","https://openalex.org/W2035758533","https://openalex.org/W2065506409","https://openalex.org/W2081580037","https://openalex.org/W2082889357","https://openalex.org/W2138563491","https://openalex.org/W2140887277","https://openalex.org/W2153927559","https://openalex.org/W2161893466","https://openalex.org/W2166084599","https://openalex.org/W2963206377","https://openalex.org/W3003709066","https://openalex.org/W6600892715","https://openalex.org/W6654165875"],"related_works":["https://openalex.org/W2047143235","https://openalex.org/W3012445987","https://openalex.org/W2359259132","https://openalex.org/W2779831736","https://openalex.org/W2113661533","https://openalex.org/W3134365128","https://openalex.org/W2084998560","https://openalex.org/W2038882528","https://openalex.org/W4379876767","https://openalex.org/W2388928357"],"abstract_inverted_index":{"This":[0,58],"paper":[1],"deals":[2],"with":[3,55],"the":[4,12,42,68,72,80,93],"use":[5],"of":[6,51,63,71,78,97],"ontologies":[7],"for":[8],"Information":[9],"Retrieval.":[10,102],"Roughly,":[11],"proposed":[13],"approach":[14],"consists":[15],"in":[16,20,48],"identifying":[17],"important":[18],"concepts":[19],"documents":[21],"using":[22],"two":[23],"criterions,":[24],"co-occurrence":[25],"and":[26,29,44,100],"semantic":[27,61,69],"relatedness":[28],"then":[30],"disambiguating":[31],"them":[32],"via":[33],"an":[34],"external":[35],"general":[36],"purpose":[37],"ontology,":[38],"namely":[39],"WordNet.":[40],"Matching":[41],"ontology":[43],"a":[45,49,64,87],"document":[46,65],"results":[47,83],"set":[50],"scored":[52],"concept-senses":[53],"(nodes)":[54],"weighted":[56],"links.":[57],"representation,":[59],"called":[60],"core":[62],"best":[66],"reveals":[67],"content":[70],"document.":[73],"We":[74],"regard":[75],"our":[76],"approach,":[77],"which":[79],"first":[81],"evaluation":[82],"are":[84],"encouraging,":[85],"as":[86],"short":[88],"but":[89],"strong":[90],"step":[91],"toward":[92],"long":[94],"term":[95],"goal":[96],"Intelligent":[98],"Indexing":[99],"Semantic":[101]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":3},{"year":2014,"cited_by_count":2},{"year":2013,"cited_by_count":2},{"year":2012,"cited_by_count":10}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}
