{"id":"https://openalex.org/W2581196927","doi":"https://doi.org/10.3233/sw-170264","title":"Ontology understanding without tears: The\u00a0summarization approach","display_name":"Ontology understanding without tears: The\u00a0summarization approach","publication_year":2017,"publication_date":"2017-01-27","ids":{"openalex":"https://openalex.org/W2581196927","doi":"https://doi.org/10.3233/sw-170264","mag":"2581196927"},"language":"en","primary_location":{"id":"doi:10.3233/sw-170264","is_oa":false,"landing_page_url":"https://doi.org/10.3233/sw-170264","pdf_url":null,"source":{"id":"https://openalex.org/S4210177235","display_name":"Semantic Web","issn_l":"1570-0844","issn":["1570-0844","2210-4968"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Semantic Web","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://zenodo.org/record/3452219","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5051094407","display_name":"Georgia Troullinou","orcid":"https://orcid.org/0000-0001-8033-7372"},"institutions":[{"id":"https://openalex.org/I4210127348","display_name":"FORTH Institute of Electronic Structure and Laser","ror":"https://ror.org/02a3mhk13","country_code":"GR","type":"facility","lineage":["https://openalex.org/I4210127348","https://openalex.org/I8901234"]}],"countries":["GR"],"is_corresponding":false,"raw_author_name":"Georgia Troullinou","raw_affiliation_strings":["Institute of Computer Science, FORTH, N. Plastira 100, Heraklion, Greece"],"affiliations":[{"raw_affiliation_string":"Institute of Computer Science, FORTH, N. Plastira 100, Heraklion, Greece","institution_ids":["https://openalex.org/I4210127348"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5070664655","display_name":"Haridimos Kondylakis","orcid":"https://orcid.org/0000-0002-9917-4486"},"institutions":[{"id":"https://openalex.org/I4210127348","display_name":"FORTH Institute of Electronic Structure and Laser","ror":"https://ror.org/02a3mhk13","country_code":"GR","type":"facility","lineage":["https://openalex.org/I4210127348","https://openalex.org/I8901234"]}],"countries":["GR"],"is_corresponding":true,"raw_author_name":"Haridimos Kondylakis","raw_affiliation_strings":["Institute of Computer Science, FORTH, N. Plastira 100, Heraklion, Greece"],"affiliations":[{"raw_affiliation_string":"Institute of Computer Science, FORTH, N. Plastira 100, Heraklion, Greece","institution_ids":["https://openalex.org/I4210127348"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5038045965","display_name":"Evangelia Daskalaki","orcid":"https://orcid.org/0000-0002-5503-8079"},"institutions":[{"id":"https://openalex.org/I4210127348","display_name":"FORTH Institute of Electronic Structure and Laser","ror":"https://ror.org/02a3mhk13","country_code":"GR","type":"facility","lineage":["https://openalex.org/I4210127348","https://openalex.org/I8901234"]}],"countries":["GR"],"is_corresponding":false,"raw_author_name":"Evangelia Daskalaki","raw_affiliation_strings":["Institute of Computer Science, FORTH, N. Plastira 100, Heraklion, Greece"],"affiliations":[{"raw_affiliation_string":"Institute of Computer Science, FORTH, N. Plastira 100, Heraklion, Greece","institution_ids":["https://openalex.org/I4210127348"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5004081767","display_name":"Dimitris Plexousakis","orcid":"https://orcid.org/0000-0002-0863-8266"},"institutions":[{"id":"https://openalex.org/I4210127348","display_name":"FORTH Institute of Electronic Structure and Laser","ror":"https://ror.org/02a3mhk13","country_code":"GR","type":"facility","lineage":["https://openalex.org/I4210127348","https://openalex.org/I8901234"]}],"countries":["GR"],"is_corresponding":false,"raw_author_name":"Dimitris Plexousakis","raw_affiliation_strings":["Institute of Computer Science, FORTH, N. Plastira 100, Heraklion, Greece"],"affiliations":[{"raw_affiliation_string":"Institute of Computer Science, FORTH, N. Plastira 100, Heraklion, Greece","institution_ids":["https://openalex.org/I4210127348"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5070664655"],"corresponding_institution_ids":["https://openalex.org/I4210127348"],"apc_list":null,"apc_paid":null,"fwci":4.4855,"has_fulltext":false,"cited_by_count":32,"citation_normalized_percentile":{"value":0.95532542,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"8","issue":"6","first_page":"797","last_page":"815"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10215","display_name":"Semantic Web and Ontologies","score":0.9998999834060669,"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":0.9998999834060669,"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/T10317","display_name":"Advanced Database Systems and Queries","score":0.9977999925613403,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/T11719","display_name":"Data Quality and Management","score":0.9973999857902527,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7909967303276062},{"id":"https://openalex.org/keywords/automatic-summarization","display_name":"Automatic summarization","score":0.7432555556297302},{"id":"https://openalex.org/keywords/exploit","display_name":"Exploit","score":0.7016477584838867},{"id":"https://openalex.org/keywords/rdf","display_name":"RDF","score":0.626781165599823},{"id":"https://openalex.org/keywords/schema","display_name":"Schema (genetic algorithms)","score":0.5358681678771973},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5201597213745117},{"id":"https://openalex.org/keywords/rdf-schema","display_name":"RDF Schema","score":0.5037156939506531},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.43020322918891907},{"id":"https://openalex.org/keywords/knowledge-graph","display_name":"Knowledge graph","score":0.41981518268585205},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3704553246498108},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.36925822496414185},{"id":"https://openalex.org/keywords/semantic-web","display_name":"Semantic Web","score":0.22827205061912537},{"id":"https://openalex.org/keywords/sparql","display_name":"SPARQL","score":0.21590366959571838}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7909967303276062},{"id":"https://openalex.org/C170858558","wikidata":"https://www.wikidata.org/wiki/Q1394144","display_name":"Automatic summarization","level":2,"score":0.7432555556297302},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.7016477584838867},{"id":"https://openalex.org/C147497476","wikidata":"https://www.wikidata.org/wiki/Q54872","display_name":"RDF","level":3,"score":0.626781165599823},{"id":"https://openalex.org/C52146309","wikidata":"https://www.wikidata.org/wiki/Q7431116","display_name":"Schema (genetic algorithms)","level":2,"score":0.5358681678771973},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5201597213745117},{"id":"https://openalex.org/C15657843","wikidata":"https://www.wikidata.org/wiki/Q1751819","display_name":"RDF Schema","level":5,"score":0.5037156939506531},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.43020322918891907},{"id":"https://openalex.org/C2987255567","wikidata":"https://www.wikidata.org/wiki/Q33002955","display_name":"Knowledge graph","level":2,"score":0.41981518268585205},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3704553246498108},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.36925822496414185},{"id":"https://openalex.org/C2129575","wikidata":"https://www.wikidata.org/wiki/Q54837","display_name":"Semantic Web","level":2,"score":0.22827205061912537},{"id":"https://openalex.org/C41009113","wikidata":"https://www.wikidata.org/wiki/Q54871","display_name":"SPARQL","level":4,"score":0.21590366959571838},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.3233/sw-170264","is_oa":false,"landing_page_url":"https://doi.org/10.3233/sw-170264","pdf_url":null,"source":{"id":"https://openalex.org/S4210177235","display_name":"Semantic Web","issn_l":"1570-0844","issn":["1570-0844","2210-4968"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Semantic Web","raw_type":"journal-article"},{"id":"pmh:oai:zenodo.org:3452219","is_oa":true,"landing_page_url":"https://zenodo.org/record/3452219","pdf_url":null,"source":{"id":"https://openalex.org/S4306400562","display_name":"Zenodo (CERN European Organization for Nuclear Research)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I67311998","host_organization_name":"European Organization for Nuclear Research","host_organization_lineage":["https://openalex.org/I67311998"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"info:eu-repo/semantics/article"}],"best_oa_location":{"id":"pmh:oai:zenodo.org:3452219","is_oa":true,"landing_page_url":"https://zenodo.org/record/3452219","pdf_url":null,"source":{"id":"https://openalex.org/S4306400562","display_name":"Zenodo (CERN European Organization for Nuclear Research)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I67311998","host_organization_name":"European Organization for Nuclear Research","host_organization_lineage":["https://openalex.org/I67311998"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"info:eu-repo/semantics/article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":35,"referenced_works":["https://openalex.org/W12878762","https://openalex.org/W21352244","https://openalex.org/W253079036","https://openalex.org/W279668629","https://openalex.org/W331978938","https://openalex.org/W1490787220","https://openalex.org/W1511328045","https://openalex.org/W1528446492","https://openalex.org/W1538798473","https://openalex.org/W1539842171","https://openalex.org/W1550792544","https://openalex.org/W1573981182","https://openalex.org/W1728953932","https://openalex.org/W1866502235","https://openalex.org/W1979691806","https://openalex.org/W1995950372","https://openalex.org/W2062432826","https://openalex.org/W2084987750","https://openalex.org/W2086980839","https://openalex.org/W2105920890","https://openalex.org/W2108781142","https://openalex.org/W2125580539","https://openalex.org/W2128060082","https://openalex.org/W2161322017","https://openalex.org/W2162866953","https://openalex.org/W2220992496","https://openalex.org/W2273009367","https://openalex.org/W2295276225","https://openalex.org/W2295595033","https://openalex.org/W2295640991","https://openalex.org/W2400307934","https://openalex.org/W2403913707","https://openalex.org/W3102722406","https://openalex.org/W4240806681","https://openalex.org/W6697450285"],"related_works":["https://openalex.org/W50701655","https://openalex.org/W43613300","https://openalex.org/W2027499911","https://openalex.org/W1939859361","https://openalex.org/W2218209731","https://openalex.org/W1991234668","https://openalex.org/W4389545867","https://openalex.org/W1532834088","https://openalex.org/W1596295448","https://openalex.org/W2528240602"],"abstract_inverted_index":{"Given":[0],"the":[1,29,48,76,81,85,101,104,108,111,116,121,131,142,145,161,167],"explosive":[2],"growth":[3],"in":[4],"both":[5,100],"data":[6,11,31],"size":[7],"and":[8,19,57,94,107,159,166],"schema":[9],"complexity,":[10],"sources":[12],"are":[13],"becoming":[14],"increasingly":[15],"difficult":[16],"to":[17,23,84,129],"use":[18],"comprehend.":[20],"Summarization":[21],"aspires":[22],"produce":[24],"an":[25,43],"abridged":[26],"version":[27,46],"of":[28,47,62,80,103,110,123,144,163],"original":[30],"source":[32],"highlighting":[33],"its":[34],"most":[35,77,117],"representative":[36,78],"concepts.":[37],"In":[38],"this":[39,90],"paper,":[40],"we":[41,92,114,126],"present":[42],"ad":[44],"vanced":[45],"RDF":[49],"Digest,":[50],"a":[51,70],"novel":[52],"platform":[53],"that":[54,74,98],"automatically":[55],"produces":[56],"visualizes":[58],"high":[59],"quality":[60],"summaries":[61],"RDF/S":[63],"Knowledge":[64],"Bases":[65],"(KBs).":[66],"A":[67],"summary":[68],"is":[69],"valid":[71],"RDFS":[72],"graph":[73,91,106],"includes":[75],"concepts":[79],"schema,":[82],"adapted":[83],"corresponding":[86,105],"instances.":[87],"To":[88],"construct":[89],"designed":[93],"implemented":[95],"two":[96,156],"algorithms":[97],"exploit":[99],"structure":[102],"semantics":[109],"KB.":[112],"Initially":[113],"identify":[115],"important":[118],"nodes":[119,135],"using":[120],"notion":[122],"relevance.":[124],"Then":[125],"explore":[127],"how":[128],"select":[130],"edges":[132],"connecting":[133],"these":[134],"by":[136],"maximizing":[137],"either":[138],"locally":[139],"or":[140],"globally":[141],"importance":[143],"selected":[146],"edges.":[147],"The":[148],"extensive":[149],"evaluation":[150],"performed":[151],"compares":[152],"our":[153,164],"system":[154],"with":[155],"other":[157],"systems":[158],"shows":[160],"benefits":[162],"approach":[165],"considerable":[168],"advantages":[169],"gained.":[170]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":4},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":6},{"year":2019,"cited_by_count":7},{"year":2018,"cited_by_count":7},{"year":2017,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
