{"id":"https://openalex.org/W2029007624","doi":"https://doi.org/10.1145/2611040.2611041","title":"Large-Scale Reasoning with (Semantic) Data","display_name":"Large-Scale Reasoning with (Semantic) Data","publication_year":2014,"publication_date":"2014-05-27","ids":{"openalex":"https://openalex.org/W2029007624","doi":"https://doi.org/10.1145/2611040.2611041","mag":"2029007624"},"language":"en","primary_location":{"id":"doi:10.1145/2611040.2611041","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2611040.2611041","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 4th International Conference on Web Intelligence, Mining and Semantics (WIMS14)","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/A5018289832","display_name":"Grigoris Antoniou","orcid":"https://orcid.org/0000-0003-3673-6602"},"institutions":[{"id":"https://openalex.org/I133837150","display_name":"University of Huddersfield","ror":"https://ror.org/05t1h8f27","country_code":"GB","type":"education","lineage":["https://openalex.org/I133837150"]}],"countries":["GB"],"is_corresponding":true,"raw_author_name":"Grigoris Antoniou","raw_affiliation_strings":["University of Huddersfield","(University of Huddersfield)"],"affiliations":[{"raw_affiliation_string":"University of Huddersfield","institution_ids":["https://openalex.org/I133837150"]},{"raw_affiliation_string":"(University of Huddersfield)","institution_ids":["https://openalex.org/I133837150"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5067875951","display_name":"Sotiris Batsakis","orcid":"https://orcid.org/0000-0001-6023-2311"},"institutions":[{"id":"https://openalex.org/I133837150","display_name":"University of Huddersfield","ror":"https://ror.org/05t1h8f27","country_code":"GB","type":"education","lineage":["https://openalex.org/I133837150"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Sotiris Batsakis","raw_affiliation_strings":["University of Huddersfield","(University of Huddersfield)"],"affiliations":[{"raw_affiliation_string":"University of Huddersfield","institution_ids":["https://openalex.org/I133837150"]},{"raw_affiliation_string":"(University of Huddersfield)","institution_ids":["https://openalex.org/I133837150"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5010070911","display_name":"Ilias Tachmazidis","orcid":"https://orcid.org/0000-0002-9052-7329"},"institutions":[{"id":"https://openalex.org/I133837150","display_name":"University of Huddersfield","ror":"https://ror.org/05t1h8f27","country_code":"GB","type":"education","lineage":["https://openalex.org/I133837150"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Ilias Tachmazidis","raw_affiliation_strings":["University of Huddersfield","(University of Huddersfield)"],"affiliations":[{"raw_affiliation_string":"University of Huddersfield","institution_ids":["https://openalex.org/I133837150"]},{"raw_affiliation_string":"(University of Huddersfield)","institution_ids":["https://openalex.org/I133837150"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5018289832"],"corresponding_institution_ids":["https://openalex.org/I133837150"],"apc_list":null,"apc_paid":null,"fwci":1.636,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.87072356,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"3"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10215","display_name":"Semantic Web and Ontologies","score":0.9993000030517578,"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":0.9993000030517578,"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/T11106","display_name":"Data Management and Algorithms","score":0.9987000226974487,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T10538","display_name":"Data Mining Algorithms and Applications","score":0.9968000054359436,"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/computer-science","display_name":"Computer science","score":0.8247065544128418},{"id":"https://openalex.org/keywords/semantic-web","display_name":"Semantic Web","score":0.7419444918632507},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.6798451542854309},{"id":"https://openalex.org/keywords/knowledge-representation-and-reasoning","display_name":"Knowledge representation and reasoning","score":0.592955470085144},{"id":"https://openalex.org/keywords/semantic-analytics","display_name":"Semantic analytics","score":0.5714824199676514},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.5503196716308594},{"id":"https://openalex.org/keywords/rdf","display_name":"RDF","score":0.5256884098052979},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.4809224307537079},{"id":"https://openalex.org/keywords/description-logic","display_name":"Description logic","score":0.4802156388759613},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.4668147563934326},{"id":"https://openalex.org/keywords/social-semantic-web","display_name":"Social Semantic Web","score":0.41158705949783325},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.3643801212310791},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.341010719537735},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.2365797758102417}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8247065544128418},{"id":"https://openalex.org/C2129575","wikidata":"https://www.wikidata.org/wiki/Q54837","display_name":"Semantic Web","level":2,"score":0.7419444918632507},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.6798451542854309},{"id":"https://openalex.org/C161301231","wikidata":"https://www.wikidata.org/wiki/Q3478658","display_name":"Knowledge representation and reasoning","level":2,"score":0.592955470085144},{"id":"https://openalex.org/C148792806","wikidata":"https://www.wikidata.org/wiki/Q7449046","display_name":"Semantic analytics","level":4,"score":0.5714824199676514},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.5503196716308594},{"id":"https://openalex.org/C147497476","wikidata":"https://www.wikidata.org/wiki/Q54872","display_name":"RDF","level":3,"score":0.5256884098052979},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.4809224307537079},{"id":"https://openalex.org/C102993220","wikidata":"https://www.wikidata.org/wiki/Q387196","display_name":"Description logic","level":2,"score":0.4802156388759613},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.4668147563934326},{"id":"https://openalex.org/C534406577","wikidata":"https://www.wikidata.org/wiki/Q7550843","display_name":"Social Semantic Web","level":3,"score":0.41158705949783325},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.3643801212310791},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.341010719537735},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.2365797758102417},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/2611040.2611041","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2611040.2611041","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 4th International Conference on Web Intelligence, Mining and Semantics (WIMS14)","raw_type":"proceedings-article"},{"id":"pmh:oai:pure.atira.dk:publications/5f82f9d2-9eb9-47d6-be88-d19e1e136130","is_oa":false,"landing_page_url":"https://pure.hud.ac.uk/en/publications/5f82f9d2-9eb9-47d6-be88-d19e1e136130","pdf_url":null,"source":{"id":"https://openalex.org/S4306402508","display_name":"Huddersfield Research Portal (University of Huddersfield)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I133837150","host_organization_name":"University of Huddersfield","host_organization_lineage":["https://openalex.org/I133837150"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Antoniou, G, Batsakis, S & Tachmazidis, I 2014, Large-scale reasoning with (semantic) data. in 4th International Conference on Web Intelligence, Mining and Semantics, WIMS 2014. Association for Computing Machinery (ACM), 4th International Conference on Web Intelligence, Mining and Semantics, Thessaloniki, Greece, 2/06/14. https://doi.org/10.1145/2611040.2611041","raw_type":"info:eu-repo/semantics/publishedVersion"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7599999904632568,"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W131488548","https://openalex.org/W158439594","https://openalex.org/W185952969","https://openalex.org/W197304265","https://openalex.org/W1535758363","https://openalex.org/W1597095978","https://openalex.org/W1598377208","https://openalex.org/W1964050638","https://openalex.org/W2096176691","https://openalex.org/W2099052309","https://openalex.org/W2122465391","https://openalex.org/W2144692597","https://openalex.org/W2156774188","https://openalex.org/W2161607637","https://openalex.org/W2293961682","https://openalex.org/W2491530509"],"related_works":["https://openalex.org/W2349698472","https://openalex.org/W2023110884","https://openalex.org/W2366430559","https://openalex.org/W933881244","https://openalex.org/W1985801232","https://openalex.org/W2359143405","https://openalex.org/W2348459908","https://openalex.org/W2151801904","https://openalex.org/W2005492920","https://openalex.org/W1975429881"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"we":[3],"discuss":[4],"scalable":[5],"methods":[6,76,116],"for":[7,85,117],"nonmonotonic":[8],"rule-based":[9],"reasoning":[10,119],"over":[11],"Semantic":[12],"Web":[13],"Data,":[14],"using":[15],"MapReduce.":[16],"This":[17,63],"work":[18],"is":[19,99],"motivated":[20],"by":[21],"the":[22,31,44,65,121],"recent":[23],"unparalleled":[24],"explosion":[25],"of":[26,46,67,79,83,106],"available":[27],"data":[28,84],"coming":[29],"from":[30,43],"Web,":[32],"sensor":[33],"readings,":[34],"databases,":[35],"ontologies":[36],"and":[37,70,98],"more.":[38],"Such":[39],"datasets":[40],"could":[41],"benefit":[42],"introduction":[45],"rule":[47],"sets":[48],"encoding":[49],"commonly":[50],"accepted":[51],"rules":[52],"or":[53,56],"facts,":[54],"application":[55],"domain":[57],"specific":[58],"rules,":[59],"commonsense":[60],"knowledge":[61,74],"etc.":[62],"raises":[64],"question":[66],"whether,":[68],"how,":[69],"to":[71,101],"what":[72],"extent":[73],"representation":[75],"are":[77],"capable":[78],"handling":[80],"huge":[81],"amounts":[82],"these":[86],"applications.":[87],"Our":[88],"results":[89],"indicate":[90],"that":[91],"our":[92],"method":[93],"shows":[94],"good":[95],"scalability":[96],"properties":[97],"able":[100],"handle":[102],"a":[103],"benchmark":[104],"dataset":[105],"1":[107],"billion":[108],"triples,":[109],"bringing":[110],"it":[111],"on":[112,120],"par":[113],"with":[114],"state-of-the-art":[115],"monotonic":[118],"semantic":[122],"web.":[123]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"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"}