{"id":"https://openalex.org/W2752844811","doi":"https://doi.org/10.1145/3093241.3093276","title":"On-The-Fly Academic Linked Data Integration","display_name":"On-The-Fly Academic Linked Data Integration","publication_year":2017,"publication_date":"2017-05-19","ids":{"openalex":"https://openalex.org/W2752844811","doi":"https://doi.org/10.1145/3093241.3093276","mag":"2752844811"},"language":"en","primary_location":{"id":"doi:10.1145/3093241.3093276","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3093241.3093276","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the International Conference on Compute and Data Analysis","raw_type":"proceedings-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/A5101606061","display_name":"Mohamed Ragab","orcid":"https://orcid.org/0000-0002-9048-7873"},"institutions":[{"id":"https://openalex.org/I2799409690","display_name":"Nahda University","ror":"https://ror.org/05s29c959","country_code":"EG","type":"education","lineage":["https://openalex.org/I2799409690"]}],"countries":["EG"],"is_corresponding":true,"raw_author_name":"Mohamed Ragab Moaawad","raw_affiliation_strings":["Nahda University, Benisuef, Egypt"],"affiliations":[{"raw_affiliation_string":"Nahda University, Benisuef, Egypt","institution_ids":["https://openalex.org/I2799409690"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5048405773","display_name":"Hoda M. O. Mokhtar","orcid":"https://orcid.org/0000-0002-7877-4108"},"institutions":[{"id":"https://openalex.org/I145487455","display_name":"Cairo University","ror":"https://ror.org/03q21mh05","country_code":"EG","type":"education","lineage":["https://openalex.org/I145487455"]}],"countries":["EG"],"is_corresponding":false,"raw_author_name":"Hoda M. O. Mokhtar","raw_affiliation_strings":["Cairo University, Egypt"],"affiliations":[{"raw_affiliation_string":"Cairo University, Egypt","institution_ids":["https://openalex.org/I145487455"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5012454013","display_name":"Haytham Al-Feel","orcid":"https://orcid.org/0000-0002-8416-0292"},"institutions":[{"id":"https://openalex.org/I66513531","display_name":"Fayoum University","ror":"https://ror.org/023gzwx10","country_code":"EG","type":"education","lineage":["https://openalex.org/I66513531"]}],"countries":["EG"],"is_corresponding":false,"raw_author_name":"Haytham Tawfeek Al Feel","raw_affiliation_strings":["Fayoum University, Egypt"],"affiliations":[{"raw_affiliation_string":"Fayoum University, Egypt","institution_ids":["https://openalex.org/I66513531"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5101606061"],"corresponding_institution_ids":["https://openalex.org/I2799409690"],"apc_list":null,"apc_paid":null,"fwci":0.2079,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.64577691,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"114","last_page":"122"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10215","display_name":"Semantic Web and Ontologies","score":0.9995999932289124,"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":0.9995999932289124,"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/T11710","display_name":"Biomedical Text Mining and Ontologies","score":0.9656999707221985,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T14330","display_name":"Library Science and Information Systems","score":0.9598000049591064,"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/data-integration","display_name":"Data integration","score":0.7669336795806885},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7542129158973694},{"id":"https://openalex.org/keywords/linked-data","display_name":"Linked data","score":0.7493780255317688},{"id":"https://openalex.org/keywords/semantic-heterogeneity","display_name":"Semantic heterogeneity","score":0.5120528340339661},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.5103279948234558},{"id":"https://openalex.org/keywords/schema","display_name":"Schema (genetic algorithms)","score":0.5062205195426941},{"id":"https://openalex.org/keywords/data-quality","display_name":"Data quality","score":0.5054090023040771},{"id":"https://openalex.org/keywords/sparql","display_name":"SPARQL","score":0.4741496443748474},{"id":"https://openalex.org/keywords/semantic-web","display_name":"Semantic Web","score":0.4077407419681549},{"id":"https://openalex.org/keywords/ontology-based-data-integration","display_name":"Ontology-based data integration","score":0.38742685317993164},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.34603482484817505},{"id":"https://openalex.org/keywords/rdf","display_name":"RDF","score":0.3327676057815552},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3160974979400635}],"concepts":[{"id":"https://openalex.org/C72634772","wikidata":"https://www.wikidata.org/wiki/Q386824","display_name":"Data integration","level":2,"score":0.7669336795806885},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7542129158973694},{"id":"https://openalex.org/C69075417","wikidata":"https://www.wikidata.org/wiki/Q515701","display_name":"Linked data","level":3,"score":0.7493780255317688},{"id":"https://openalex.org/C2778180026","wikidata":"https://www.wikidata.org/wiki/Q18378163","display_name":"Semantic heterogeneity","level":4,"score":0.5120528340339661},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.5103279948234558},{"id":"https://openalex.org/C52146309","wikidata":"https://www.wikidata.org/wiki/Q7431116","display_name":"Schema (genetic algorithms)","level":2,"score":0.5062205195426941},{"id":"https://openalex.org/C24756922","wikidata":"https://www.wikidata.org/wiki/Q1757694","display_name":"Data quality","level":3,"score":0.5054090023040771},{"id":"https://openalex.org/C41009113","wikidata":"https://www.wikidata.org/wiki/Q54871","display_name":"SPARQL","level":4,"score":0.4741496443748474},{"id":"https://openalex.org/C2129575","wikidata":"https://www.wikidata.org/wiki/Q54837","display_name":"Semantic Web","level":2,"score":0.4077407419681549},{"id":"https://openalex.org/C22550185","wikidata":"https://www.wikidata.org/wiki/Q7095047","display_name":"Ontology-based data integration","level":3,"score":0.38742685317993164},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.34603482484817505},{"id":"https://openalex.org/C147497476","wikidata":"https://www.wikidata.org/wiki/Q54872","display_name":"RDF","level":3,"score":0.3327676057815552},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3160974979400635},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","level":1,"score":0.0},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3093241.3093276","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3093241.3093276","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the International Conference on Compute and Data Analysis","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":36,"referenced_works":["https://openalex.org/W3111968","https://openalex.org/W88858205","https://openalex.org/W147161182","https://openalex.org/W195679761","https://openalex.org/W1537691903","https://openalex.org/W1556287016","https://openalex.org/W1580920813","https://openalex.org/W1814600568","https://openalex.org/W1840802658","https://openalex.org/W1870959433","https://openalex.org/W1949745356","https://openalex.org/W1973653891","https://openalex.org/W1998982581","https://openalex.org/W2039386673","https://openalex.org/W2042418169","https://openalex.org/W2068606814","https://openalex.org/W2101491706","https://openalex.org/W2118976126","https://openalex.org/W2142787640","https://openalex.org/W2160845726","https://openalex.org/W2238459502","https://openalex.org/W2259172389","https://openalex.org/W2275710340","https://openalex.org/W2396413738","https://openalex.org/W2403886113","https://openalex.org/W2405571848","https://openalex.org/W2407149353","https://openalex.org/W2408104203","https://openalex.org/W2408653445","https://openalex.org/W2499132154","https://openalex.org/W2524584354","https://openalex.org/W2541727264","https://openalex.org/W2735935772","https://openalex.org/W2913345924","https://openalex.org/W2992746956","https://openalex.org/W4232388833"],"related_works":["https://openalex.org/W199330785","https://openalex.org/W2615202182","https://openalex.org/W98016204","https://openalex.org/W2904139343","https://openalex.org/W2767591199","https://openalex.org/W2101525042","https://openalex.org/W2968129063","https://openalex.org/W4322622679","https://openalex.org/W2563388676","https://openalex.org/W3150241097"],"abstract_inverted_index":{"The":[0],"web":[1],"of":[2,27,56,71],"Linked":[3],"Open":[4],"Data":[5],"(LOD)":[6],"has":[7,165],"a":[8,24,48,53,96,155],"prominent":[9],"and":[10,34,51,124],"rapid":[11],"evolution":[12],"recently.":[13],"Over":[14],"the":[15,35,132,148,159],"last":[16],"few":[17],"years,":[18],"LOD":[19,58,66,97,113,119],"had":[20,46],"developed":[21],"to":[22,31,61,81,90,104],"involve":[23],"wide":[25],"range":[26],"various":[28],"domains.":[29],"Due":[30,80],"these":[32,69,106],"facts,":[33],"great":[36,156],"interconnections":[37],"among":[38],"linked":[39,42],"open":[40],"datasets,":[41],"data":[43,63,72,161],"integration":[44,98,133,150],"task":[45],"gained":[47],"huge":[49],"attention":[50],"became":[52],"focal":[54],"point":[55],"research.":[57],"applications":[59],"aim":[60],"incorporate":[62],"from":[64],"different":[65,118],"sources.":[67],"Unfortunately,":[68],"sources":[70],"are":[73,86],"heterogeneous":[74],"in":[75,78,117,131,137,144,158],"schema":[76,123],"and/or":[77],"vocabularies.":[79],"this":[82,94,138],"heterogeneity,":[83],"numerous":[84],"challenges":[85],"emerging":[87],"that":[88,115],"have":[89],"be":[91],"overcome.":[92],"In":[93],"paper,":[95],"framework":[99],"is":[100,135],"proposed,":[101],"which":[102],"aims":[103],"tackle":[105],"challenges.":[107],"It":[108],"works":[109],"on":[110],"integrating":[111],"academic":[112],"datasets":[114],"reside":[116],"repositories":[120],"with":[121],"intrinsic":[122],"vocabularies":[125],"heterogeneity.":[126],"An":[127],"automatic":[128],"mapping":[129],"technique":[130],"processes":[134],"proposed":[136],"paper.":[139],"Consequently,":[140],"an":[141],"obvious":[142],"decrease":[143],"execution":[145],"time":[146],"for":[147],"entire":[149],"process,":[151],"as":[152],"well":[153],"as,":[154],"progress":[157],"integrated":[160],"quality":[162],"assessment":[163],"metrics":[164],"been":[166],"achieved.":[167]},"counts_by_year":[{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":2},{"year":2019,"cited_by_count":1}],"updated_date":"2026-04-17T18:11:37.981687","created_date":"2025-10-10T00:00:00"}
