{"id":"https://openalex.org/W2006993047","doi":"https://doi.org/10.4304/jsw.9.2.490-497","title":"Assessing Text Semantic Similarity Using Ontology","display_name":"Assessing Text Semantic Similarity Using Ontology","publication_year":2014,"publication_date":"2014-02-01","ids":{"openalex":"https://openalex.org/W2006993047","doi":"https://doi.org/10.4304/jsw.9.2.490-497","mag":"2006993047"},"language":"en","primary_location":{"id":"doi:10.4304/jsw.9.2.490-497","is_oa":false,"landing_page_url":"https://doi.org/10.4304/jsw.9.2.490-497","pdf_url":null,"source":{"id":"https://openalex.org/S114141714","display_name":"Journal of Software","issn_l":"1796-217X","issn":["1796-217X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318660","host_organization_name":"Academy Publisher","host_organization_lineage":["https://openalex.org/P4310318660"],"host_organization_lineage_names":["Academy Publisher"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Software","raw_type":"journal-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/A5040452780","display_name":"Hongzhe Liu","orcid":"https://orcid.org/0000-0003-2314-5272"},"institutions":[{"id":"https://openalex.org/I114234892","display_name":"Beijing Union University","ror":"https://ror.org/01hg31662","country_code":"CN","type":"education","lineage":["https://openalex.org/I114234892"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Hongzhe Liu","raw_affiliation_strings":["Beijing Key Laboratory of Information Service Engineering, Beijing Union University, Beijing"],"affiliations":[{"raw_affiliation_string":"Beijing Key Laboratory of Information Service Engineering, Beijing Union University, Beijing","institution_ids":["https://openalex.org/I114234892"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100399541","display_name":"Pengfei Wang","orcid":"https://orcid.org/0000-0001-8658-7102"},"institutions":[{"id":"https://openalex.org/I114234892","display_name":"Beijing Union University","ror":"https://ror.org/01hg31662","country_code":"CN","type":"education","lineage":["https://openalex.org/I114234892"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Pengfei Wang","raw_affiliation_strings":["Beijing Key Laboratory of Information Service Engineering, Beijing Union University, Beijing"],"affiliations":[{"raw_affiliation_string":"Beijing Key Laboratory of Information Service Engineering, Beijing Union University, Beijing","institution_ids":["https://openalex.org/I114234892"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5040452780"],"corresponding_institution_ids":["https://openalex.org/I114234892"],"apc_list":null,"apc_paid":null,"fwci":1.636,"has_fulltext":false,"cited_by_count":11,"citation_normalized_percentile":{"value":0.86874925,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"9","issue":"2","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13083","display_name":"Advanced Text Analysis Techniques","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"}},"topics":[{"id":"https://openalex.org/T13083","display_name":"Advanced Text Analysis Techniques","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"}},{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9994000196456909,"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":0.9994000196456909,"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":0.9234789609909058},{"id":"https://openalex.org/keywords/semantic-similarity","display_name":"Semantic similarity","score":0.7317607402801514},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.6622011065483093},{"id":"https://openalex.org/keywords/ontology","display_name":"Ontology","score":0.6142367124557495},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.5117018222808838},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.5003058910369873},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3716021776199341}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.9234789609909058},{"id":"https://openalex.org/C130318100","wikidata":"https://www.wikidata.org/wiki/Q2268914","display_name":"Semantic similarity","level":2,"score":0.7317607402801514},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.6622011065483093},{"id":"https://openalex.org/C25810664","wikidata":"https://www.wikidata.org/wiki/Q44325","display_name":"Ontology","level":2,"score":0.6142367124557495},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.5117018222808838},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.5003058910369873},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3716021776199341},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.4304/jsw.9.2.490-497","is_oa":false,"landing_page_url":"https://doi.org/10.4304/jsw.9.2.490-497","pdf_url":null,"source":{"id":"https://openalex.org/S114141714","display_name":"Journal of Software","issn_l":"1796-217X","issn":["1796-217X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318660","host_organization_name":"Academy Publisher","host_organization_lineage":["https://openalex.org/P4310318660"],"host_organization_lineage_names":["Academy Publisher"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Software","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","score":0.699999988079071,"display_name":"Quality Education"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":39,"referenced_works":["https://openalex.org/W145425800","https://openalex.org/W1566018662","https://openalex.org/W1567769573","https://openalex.org/W1575405093","https://openalex.org/W1592081640","https://openalex.org/W1647729745","https://openalex.org/W1659833910","https://openalex.org/W1980776243","https://openalex.org/W2008480878","https://openalex.org/W2044434631","https://openalex.org/W2045929671","https://openalex.org/W2054780664","https://openalex.org/W2056989578","https://openalex.org/W2059975159","https://openalex.org/W2072284402","https://openalex.org/W2097156061","https://openalex.org/W2108885144","https://openalex.org/W2109166628","https://openalex.org/W2120779048","https://openalex.org/W2127128140","https://openalex.org/W2135365682","https://openalex.org/W2136480620","https://openalex.org/W2158997610","https://openalex.org/W2164634022","https://openalex.org/W2323907496","https://openalex.org/W2478941700","https://openalex.org/W2604924053","https://openalex.org/W2912108291","https://openalex.org/W2953332543","https://openalex.org/W2968573267","https://openalex.org/W4244891075","https://openalex.org/W4256361765","https://openalex.org/W6605913859","https://openalex.org/W6633661181","https://openalex.org/W6634216274","https://openalex.org/W6636975626","https://openalex.org/W6661458507","https://openalex.org/W6678868981","https://openalex.org/W6764209848"],"related_works":["https://openalex.org/W2226024386","https://openalex.org/W4376653378","https://openalex.org/W2380654781","https://openalex.org/W2114797768","https://openalex.org/W2181757899","https://openalex.org/W2516873349","https://openalex.org/W2176214140","https://openalex.org/W2898077673","https://openalex.org/W4385239468","https://openalex.org/W2022470916"],"abstract_inverted_index":{"Sentence":[0],"and":[1,46,64,79,85,103,110,144],"document":[2,35,49,63,77,86],"similarity":[3,20,29,87,108],"assessment":[4],"is":[5,30,89,101,112],"key":[6],"to":[7,56,67,73,106,115,119],"most":[8],"NLP":[9],"applications.":[10,146],"This":[11],"paper":[12],"presents":[13],"a":[14,138],"novel":[15],"measure":[16],"of":[17,60,140],"calculating":[18],"the":[19,41,51,80,83,117],"between":[21,24,43,82],"sentences":[22,61],"or":[23,34,48,62,76,126],"documents":[25],"using":[26,32],"ontology.":[27],"The":[28],"assessed":[31],"sentence":[33,47,75,84],"concept":[36],"vector":[37],"forming":[38],"from":[39],"finding":[40],"linkage":[42],"ontology":[44],"terms":[45],"content,":[50],"linage":[52],"can":[53,134],"be":[54,135],"used":[55],"generate":[57],"semantic":[58],"indexes":[59],"apply":[65],"them":[66],"implement":[68],"highly":[69],"efficient":[70,102],"searching":[71],"algorithms":[72],"compute":[74],"similarity,":[78],"difference":[81],"measurement":[88],"articulated.":[90],"Results":[91],"were":[92],"verified":[93],"through":[94],"experiments.":[95],"Experiments":[96],"show":[97],"that":[98,131],"this":[99,132],"technique":[100],"compares":[104],"favorably":[105],"other":[107],"measures,":[109],"it":[111],"flexible":[113],"enough":[114],"allow":[116],"user":[118],"make":[120],"comparisons":[121],"without":[122],"any":[123],"additional":[124],"dictionary":[125],"corpus":[127],"information.":[128],"We":[129],"believe":[130],"method":[133],"applied":[136],"in":[137],"variety":[139],"text":[141],"knowledge":[142],"representation":[143],"discovery":[145]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":3},{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
