{"id":"https://openalex.org/W1020482675","doi":"https://doi.org/10.1007/978-3-319-18117-2_38","title":"Calculation of Textual Similarity Using Semantic Relatedness Functions","display_name":"Calculation of Textual Similarity Using Semantic Relatedness Functions","publication_year":2015,"publication_date":"2015-01-01","ids":{"openalex":"https://openalex.org/W1020482675","doi":"https://doi.org/10.1007/978-3-319-18117-2_38","mag":"1020482675"},"language":"en","primary_location":{"id":"doi:10.1007/978-3-319-18117-2_38","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-319-18117-2_38","pdf_url":null,"source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"},"type":"book-chapter","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/A5063032973","display_name":"Ammar Riadh Kairaldeen","orcid":"https://orcid.org/0000-0003-2878-927X"},"institutions":[{"id":"https://openalex.org/I135120706","display_name":"University of Baghdad","ror":"https://ror.org/007f1da21","country_code":"IQ","type":"education","lineage":["https://openalex.org/I135120706"]}],"countries":["IQ"],"is_corresponding":true,"raw_author_name":"Ammar Riadh Kairaldeen","raw_affiliation_strings":["University of Baghdad, Baghdad, Iraq","University Of Baghdad"],"affiliations":[{"raw_affiliation_string":"University of Baghdad, Baghdad, Iraq","institution_ids":["https://openalex.org/I135120706"]},{"raw_affiliation_string":"University Of Baghdad","institution_ids":["https://openalex.org/I135120706"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5058942412","display_name":"G\u00f6nen\u00e7 Ercan","orcid":"https://orcid.org/0000-0002-0207-4834"},"institutions":[{"id":"https://openalex.org/I66514158","display_name":"Hacettepe University","ror":"https://ror.org/04kwvgz42","country_code":"TR","type":"education","lineage":["https://openalex.org/I66514158"]}],"countries":["TR"],"is_corresponding":false,"raw_author_name":"Gonenc Ercan","raw_affiliation_strings":["Department of Informatics, Hacettepe University, Ankara, Turkey","Hacettepe Univ"],"affiliations":[{"raw_affiliation_string":"Department of Informatics, Hacettepe University, Ankara, Turkey","institution_ids":["https://openalex.org/I66514158"]},{"raw_affiliation_string":"Hacettepe Univ","institution_ids":["https://openalex.org/I66514158"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5063032973"],"corresponding_institution_ids":["https://openalex.org/I135120706"],"apc_list":{"value":5000,"currency":"EUR","value_usd":5392},"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.03349103,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"516","last_page":"524"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":1.0,"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/T10028","display_name":"Topic Modeling","score":1.0,"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":0.9998000264167786,"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/T10664","display_name":"Sentiment Analysis and Opinion Mining","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"}}],"keywords":[{"id":"https://openalex.org/keywords/semantic-similarity","display_name":"Semantic similarity","score":0.8513816595077515},{"id":"https://openalex.org/keywords/wordnet","display_name":"WordNet","score":0.8434516191482544},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.7508666515350342},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.7181144952774048},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.68770432472229},{"id":"https://openalex.org/keywords/cosine-similarity","display_name":"Cosine similarity","score":0.6616036891937256},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6436012387275696},{"id":"https://openalex.org/keywords/sentence","display_name":"Sentence","score":0.6386469006538391},{"id":"https://openalex.org/keywords/word","display_name":"Word (group theory)","score":0.5882205367088318},{"id":"https://openalex.org/keywords/semantics","display_name":"Semantics (computer science)","score":0.4558190405368805},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.26075589656829834},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2161359190940857}],"concepts":[{"id":"https://openalex.org/C130318100","wikidata":"https://www.wikidata.org/wiki/Q2268914","display_name":"Semantic similarity","level":2,"score":0.8513816595077515},{"id":"https://openalex.org/C157659113","wikidata":"https://www.wikidata.org/wiki/Q533822","display_name":"WordNet","level":2,"score":0.8434516191482544},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.7508666515350342},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.7181144952774048},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.68770432472229},{"id":"https://openalex.org/C2780762811","wikidata":"https://www.wikidata.org/wiki/Q1784941","display_name":"Cosine similarity","level":3,"score":0.6616036891937256},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6436012387275696},{"id":"https://openalex.org/C2777530160","wikidata":"https://www.wikidata.org/wiki/Q41796","display_name":"Sentence","level":2,"score":0.6386469006538391},{"id":"https://openalex.org/C90805587","wikidata":"https://www.wikidata.org/wiki/Q10944557","display_name":"Word (group theory)","level":2,"score":0.5882205367088318},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.4558190405368805},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.26075589656829834},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2161359190940857},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","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},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/978-3-319-18117-2_38","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-319-18117-2_38","pdf_url":null,"source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4","score":0.75}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W1483126227","https://openalex.org/W1555805532","https://openalex.org/W1569646812","https://openalex.org/W1573514622","https://openalex.org/W1647729745","https://openalex.org/W1760210171","https://openalex.org/W2019911971","https://openalex.org/W2047828095","https://openalex.org/W2117805756","https://openalex.org/W2127128140","https://openalex.org/W2136480620","https://openalex.org/W2153252192","https://openalex.org/W2161443453","https://openalex.org/W2165897980","https://openalex.org/W2531563875","https://openalex.org/W2953332543","https://openalex.org/W3202020732","https://openalex.org/W4205902690","https://openalex.org/W4230872509"],"related_works":["https://openalex.org/W2043952800","https://openalex.org/W2047143235","https://openalex.org/W2957377172","https://openalex.org/W2165693052","https://openalex.org/W2107401624","https://openalex.org/W2164877079","https://openalex.org/W2569513598","https://openalex.org/W2113471940","https://openalex.org/W2907883452","https://openalex.org/W101928771"],"abstract_inverted_index":null,"counts_by_year":[{"year":2019,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}