{"id":"https://openalex.org/W1980959842","doi":"https://doi.org/10.1145/1871437.1871441","title":"Use of semantics in real life applications","display_name":"Use of semantics in real life applications","publication_year":2010,"publication_date":"2010-10-26","ids":{"openalex":"https://openalex.org/W1980959842","doi":"https://doi.org/10.1145/1871437.1871441","mag":"1980959842"},"language":"en","primary_location":{"id":"doi:10.1145/1871437.1871441","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1871437.1871441","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 19th ACM international conference on Information and knowledge management","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/A5039513155","display_name":"Gregory Grefenstette","orcid":"https://orcid.org/0000-0001-8479-049X"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Gregory Grefenstette","raw_affiliation_strings":["Exalead, Paris, France","Exalead, paris, France#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Exalead, Paris, France","institution_ids":[]},{"raw_affiliation_string":"Exalead, paris, France#TAB#","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":["https://openalex.org/A5039513155"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"5","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12016","display_name":"Web Data Mining and Analysis","score":0.7829999923706055,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/T12016","display_name":"Web Data Mining and Analysis","score":0.7829999923706055,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/T10215","display_name":"Semantic Web and Ontologies","score":0.7105000019073486,"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/T13083","display_name":"Advanced Text Analysis Techniques","score":0.6802999973297119,"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/semantics","display_name":"Semantics (computer science)","score":0.8065037131309509},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7742153406143188},{"id":"https://openalex.org/keywords/meaning","display_name":"Meaning (existential)","score":0.7350023984909058},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.6016458868980408},{"id":"https://openalex.org/keywords/natural-language","display_name":"Natural language","score":0.5052910447120667},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.49310681223869324},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.4862571954727173},{"id":"https://openalex.org/keywords/sentiment-analysis","display_name":"Sentiment analysis","score":0.44507983326911926},{"id":"https://openalex.org/keywords/natural","display_name":"Natural (archaeology)","score":0.4395826458930969},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.38992464542388916},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3604329824447632},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.3456389307975769},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.13667228817939758}],"concepts":[{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.8065037131309509},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7742153406143188},{"id":"https://openalex.org/C2780876879","wikidata":"https://www.wikidata.org/wiki/Q3054749","display_name":"Meaning (existential)","level":2,"score":0.7350023984909058},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.6016458868980408},{"id":"https://openalex.org/C195324797","wikidata":"https://www.wikidata.org/wiki/Q33742","display_name":"Natural language","level":2,"score":0.5052910447120667},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.49310681223869324},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.4862571954727173},{"id":"https://openalex.org/C66402592","wikidata":"https://www.wikidata.org/wiki/Q2271421","display_name":"Sentiment analysis","level":2,"score":0.44507983326911926},{"id":"https://openalex.org/C2776608160","wikidata":"https://www.wikidata.org/wiki/Q4785462","display_name":"Natural (archaeology)","level":2,"score":0.4395826458930969},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.38992464542388916},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3604329824447632},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.3456389307975769},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.13667228817939758},{"id":"https://openalex.org/C542102704","wikidata":"https://www.wikidata.org/wiki/Q183257","display_name":"Psychotherapist","level":1,"score":0.0},{"id":"https://openalex.org/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","level":1,"score":0.0},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0},{"id":"https://openalex.org/C95457728","wikidata":"https://www.wikidata.org/wiki/Q309","display_name":"History","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/1871437.1871441","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1871437.1871441","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 19th ACM international conference on Information and knowledge management","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2548633793","https://openalex.org/W3013279174","https://openalex.org/W2941935829","https://openalex.org/W2596247554","https://openalex.org/W4301373556","https://openalex.org/W3132372214","https://openalex.org/W4224284088","https://openalex.org/W4286571989","https://openalex.org/W2765903680","https://openalex.org/W2754876402"],"abstract_inverted_index":{"Semantics":[0],"has":[1,12,31],"many":[2],"different":[3],"definitions":[4],"in":[5,54,73],"science.":[6],"In":[7],"natural":[8,28],"language":[9],"processing,":[10],"there":[11],"been":[13],"much":[14],"research":[15,68,114],"over":[16],"the":[17,23,25,122],"past":[18],"three":[19],"decades":[20],"involving":[21],"extracting":[22],"semantics,":[24],"meaning,":[26],"of":[27,52,66,91],"texts.":[29],"This":[30,107],"led":[32],"to":[33,71,98,102,115],"entity":[34],"recognition":[35],"(people,":[36],"places,":[37],"companies,":[38],"prices,":[39],"dates,":[40],"and":[41,43,63,75],"events),":[42],"more":[44],"recently":[45],"into":[46,81],"sentiment":[47],"analysis,":[48],"exploring":[49],"another":[50],"level":[51],"meaning":[53],"a":[55],"text.":[56],"These":[57],"techniques":[58],"are":[59,69],"now":[60],"well":[61],"understood":[62],"robust.":[64],"Results":[65],"this":[67],"beginning":[70],"appear":[72],"products":[74,120],"online":[76],"sites,":[77],"finding":[78],"their":[79],"way":[80],"practical":[82],"applications.":[83],"The":[84],"stage":[85],"is":[86],"set":[87],"for":[88],"an":[89],"explosion":[90],"semantically":[92],"savvy":[93],"applications,":[94],"from":[95,113],"3D":[96],"design,":[97],"enhanced":[99],"web":[100],"browsing,":[101],"social":[103],"network":[104],"aware":[105],"yellowpages.":[106],"talk":[108],"will":[109],"explore":[110],"these":[111],"paths":[112],"industry,":[116],"illustrated":[117],"by":[118],"current":[119],"on":[121],"market.":[123]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}