{"id":"https://openalex.org/W2255979645","doi":null,"title":"Towards Semantic Recommendation of Biodiversity Datasets based on Linked Open Data","display_name":"Towards Semantic Recommendation of Biodiversity Datasets based on Linked Open Data","publication_year":2014,"publication_date":"2014-01-01","ids":{"openalex":"https://openalex.org/W2255979645","mag":"2255979645"},"language":"en","primary_location":{"id":"pmh:oai:CiteSeerX.psu:10.1.1.664.756","doi":null,"is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.664.756","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://ceur-ws.org/Vol-1313/paper_12.pdf","raw_type":"text"},"volume":null,"type":"article","is_traditional":true,"indexed_in":[],"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/A5020627489","display_name":"Felicitas L\u00f6ffler","orcid":"https://orcid.org/0000-0001-6423-7427","observed_orcids":["https://orcid.org/0000-0001-6423-7427"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Felicitas L\u00f6ffler","raw_affiliation_strings":[],"raw_orcid":"https://orcid.org/0000-0001-6423-7427","affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5002362689","display_name":"Bahar Sateli","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Bahar Sateli","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5004152813","display_name":"Ren\u00e9 Witte","orcid":"https://orcid.org/0000-0002-4833-075X","observed_orcids":["https://orcid.org/0000-0002-4833-075X"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ren\u00e9 Witte","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5024963110","display_name":"Birgitta K\u00f6nig\u2010Ries","orcid":"https://orcid.org/0000-0002-2382-9722","observed_orcids":["https://orcid.org/0000-0002-2382-9722"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Birgitta K\u00f6nig\u2010Ries","raw_affiliation_strings":[],"raw_orcid":"https://orcid.org/0000-0002-2382-9722","affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.5769,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.76317357,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":93},"biblio":{"volume":"1313","issue":null,"first_page":"65","last_page":"70"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10203","display_name":"Recommender Systems and Techniques","score":0.9872999787330627,"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/T10203","display_name":"Recommender Systems and Techniques","score":0.9872999787330627,"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":0.010999999940395355,"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/T14435","display_name":"Information Retrieval and Data Mining","score":0.0005000000237487257,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/semantic-recommendation","display_name":"semantic recommendation","score":0.8840000033378601},{"id":"https://openalex.org/keywords/linked-open-data","display_name":"Linked Open Data","score":0.8159999847412109},{"id":"https://openalex.org/keywords/recommender-systems","display_name":"recommender systems","score":0.8709999918937683},{"id":"https://openalex.org/keywords/user-profiles","display_name":"user profiles","score":0.5879999995231628},{"id":"https://openalex.org/keywords/semantic-annotation","display_name":"semantic annotation","score":0.8009999990463257},{"id":"https://openalex.org/keywords/personalization","display_name":"personalization","score":0.8149999976158142},{"id":"https://openalex.org/keywords/content-based-filtering","display_name":"content-based filtering","score":0.6840000152587891},{"id":"https://openalex.org/keywords/vocabulary-integration","display_name":"vocabulary integration","score":0.45100000500679016},{"id":"https://openalex.org/keywords/interdisciplinary-collaboration","display_name":"interdisciplinary collaboration","score":0.550000011920929}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8275146484375},{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.739154577255249},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.6689791083335876},{"id":"https://openalex.org/C130318100","wikidata":"https://www.wikidata.org/wiki/Q2268914","display_name":"Semantic similarity","level":2,"score":0.5690202713012695},{"id":"https://openalex.org/C183003079","wikidata":"https://www.wikidata.org/wiki/Q1000371","display_name":"Personalization","level":2,"score":0.5197148323059082},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.5087254643440247},{"id":"https://openalex.org/C69075417","wikidata":"https://www.wikidata.org/wiki/Q515701","display_name":"Linked data","level":3,"score":0.4937022626399994},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.43340152502059937},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.41378965973854065},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.3972533941268921},{"id":"https://openalex.org/C2129575","wikidata":"https://www.wikidata.org/wiki/Q54837","display_name":"Semantic Web","level":2,"score":0.3041765093803406},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.12622570991516113},{"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/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:oai:CiteSeerX.psu:10.1.1.664.756","doi":null,"is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.664.756","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://ceur-ws.org/Vol-1313/paper_12.pdf","raw_type":"text"},{"id":"mag:2255979645","doi":null,"is_oa":false,"landing_page_url":"http://ceur-ws.org/Vol-1313/paper_12.pdf","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W54764438","https://openalex.org/W1501056371","https://openalex.org/W1532325895","https://openalex.org/W1563042785","https://openalex.org/W1583059097","https://openalex.org/W1978394996","https://openalex.org/W1993977866","https://openalex.org/W2017894137","https://openalex.org/W2024633545","https://openalex.org/W2032468592","https://openalex.org/W2040974535","https://openalex.org/W2093306260","https://openalex.org/W2097951507","https://openalex.org/W2109173030","https://openalex.org/W2109421086","https://openalex.org/W2116206254","https://openalex.org/W2117101886","https://openalex.org/W2136291980","https://openalex.org/W2142071678","https://openalex.org/W2153542506","https://openalex.org/W2179973836","https://openalex.org/W2497694362"],"related_works":["https://openalex.org/W2344010990","https://openalex.org/W4380605389","https://openalex.org/W4232931718","https://openalex.org/W1980516884","https://openalex.org/W2213490078","https://openalex.org/W1985658893","https://openalex.org/W7075656941","https://openalex.org/W7100342683","https://openalex.org/W2605831827","https://openalex.org/W7120451339"],"abstract_inverted_index":{"Conventional":[0],"content-based":[1],"ltering":[2],"methods":[3],"recommend":[4],"documents":[5,131],"based":[6],"on":[7],"extracted":[8],"keywords.":[9],"They":[10],"calculate":[11],"the":[12,27,58,66,74,79,92,103,121],"similarity":[13],"between":[14],"keywords":[15],"and":[16,19,36,61,77,127,132],"user":[17,59],"interests":[18],"return":[20],"a":[21,43,49,88,139,151],"list":[22],"of":[23,81,94,105,153],"matching":[24],"documents.":[25],"In":[26],"long":[28],"run,":[29],"this":[30,148],"approach":[31],"often":[32],"leads":[33],"to":[34,42,65,100,119,128],"overspecialization":[35],"fewer":[37],"new":[38,82,95],"entries":[39],"with":[40,87],"respect":[41],"user\u2019s":[44],"preferences.":[45],"Here,":[46],"we":[47],"propose":[48],"semantic":[50,63,144],"recommender":[51,115,145],"system":[52,146],"using":[53],"Linked":[54,68],"Open":[55,69],"Data":[56,70],"for":[57,91,142],"prole":[60],"adding":[62],"annotations":[64],"index.":[67],"allows":[71],"recommendations":[72],"beyond":[73],"content":[75],"domain":[76],"supports":[78],"detection":[80],"information.":[83],"One":[84],"research":[85,126],"area":[86],"strong":[89],"need":[90],"discovery":[93],"information":[96],"is":[97],"biodiversity.":[98],"Due":[99],"their":[101],"heterogeneity,":[102],"exploration":[104],"biodiversity":[106,125],"data":[107],"requires":[108],"interdisciplinary":[109],"collaboration.":[110],"Personalization,":[111],"in":[112,114,124,147],"particular":[113],"systems,":[116],"can":[117],"help":[118],"link":[120],"individual":[122],"disciplines":[123],"discover":[129],"relevant":[130],"datasets":[133],"from":[134],"various":[135],"sources.":[136],"We":[137],"developed":[138],"rst":[140],"prototype":[141],"our":[143,157],"eld,":[149],"where":[150],"multitude":[152],"existing":[154],"vocabularies":[155],"facilitate":[156],"approach.":[158]},"counts_by_year":[{"year":2016,"cited_by_count":1}],"updated_date":"2026-10-01T08:54:57.152042","created_date":"2016-06-24T00:00:00"}