{"id":"https://openalex.org/W2165981122","doi":"https://doi.org/10.1145/2254129.2254187","title":"Relevant learning objects extraction based on semantic annotation of documents","display_name":"Relevant learning objects extraction based on semantic annotation of documents","publication_year":2012,"publication_date":"2012-06-13","ids":{"openalex":"https://openalex.org/W2165981122","doi":"https://doi.org/10.1145/2254129.2254187","mag":"2165981122"},"language":"en","primary_location":{"id":"doi:10.1145/2254129.2254187","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2254129.2254187","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2nd International Conference on Web Intelligence, Mining and Semantics","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/A5075647751","display_name":"Rim Fa\u00efz","orcid":null},"institutions":[{"id":"https://openalex.org/I179097149","display_name":"University of Carthage","ror":"https://ror.org/057x6za15","country_code":"TN","type":"education","lineage":["https://openalex.org/I179097149"]}],"countries":["TN"],"is_corresponding":false,"raw_author_name":"Rim Faiz","raw_affiliation_strings":["University of Carthage-IHEC, Carthage Pr\u00e9sidence, Tunisia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Carthage-IHEC, Carthage Pr\u00e9sidence, Tunisia","institution_ids":["https://openalex.org/I179097149"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5063497435","display_name":"Boutheina Smine","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Boutheina Smine","raw_affiliation_strings":["University of Tunis, ISG, Le Bardo, Tunisia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Tunis, ISG, Le Bardo, Tunisia","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5113435270","display_name":"Jean-Pierre Descl\u00e9s","orcid":null},"institutions":[{"id":"https://openalex.org/I39804081","display_name":"Sorbonne Universit\u00e9","ror":"https://ror.org/02en5vm52","country_code":"FR","type":"education","lineage":["https://openalex.org/I39804081"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Jean-Pierre Descl\u00e9s","raw_affiliation_strings":["Paris Sorbonne University, Paris, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Paris Sorbonne University, Paris, France","institution_ids":["https://openalex.org/I39804081"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.4976,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.80268344,"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":"1","last_page":"11"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12171","display_name":"Open Education and E-Learning","score":0.9991999864578247,"subfield":{"id":"https://openalex.org/subfields/1706","display_name":"Computer Science Applications"},"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/T12171","display_name":"Open Education and E-Learning","score":0.9991999864578247,"subfield":{"id":"https://openalex.org/subfields/1706","display_name":"Computer Science Applications"},"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":0.994700014591217,"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/computer-science","display_name":"Computer science","score":0.8794878125190735},{"id":"https://openalex.org/keywords/metadata","display_name":"Metadata","score":0.761618971824646},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.7395548820495605},{"id":"https://openalex.org/keywords/annotation","display_name":"Annotation","score":0.5827130079269409},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.5170460343360901},{"id":"https://openalex.org/keywords/semantic-web","display_name":"Semantic Web","score":0.48862558603286743},{"id":"https://openalex.org/keywords/semantic-web-stack","display_name":"Semantic Web Stack","score":0.4788629710674286},{"id":"https://openalex.org/keywords/semantic-grid","display_name":"Semantic grid","score":0.4696100652217865},{"id":"https://openalex.org/keywords/relevance","display_name":"Relevance (law)","score":0.4574739933013916},{"id":"https://openalex.org/keywords/semantic-computing","display_name":"Semantic computing","score":0.4410701096057892},{"id":"https://openalex.org/keywords/sort","display_name":"sort","score":0.4371647238731384},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.43207696080207825},{"id":"https://openalex.org/keywords/information-extraction","display_name":"Information extraction","score":0.4302866756916046},{"id":"https://openalex.org/keywords/semantics","display_name":"Semantics (computer science)","score":0.4273761808872223},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3942563235759735},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.31316065788269043}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8794878125190735},{"id":"https://openalex.org/C93518851","wikidata":"https://www.wikidata.org/wiki/Q180160","display_name":"Metadata","level":2,"score":0.761618971824646},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.7395548820495605},{"id":"https://openalex.org/C2776321320","wikidata":"https://www.wikidata.org/wiki/Q857525","display_name":"Annotation","level":2,"score":0.5827130079269409},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5170460343360901},{"id":"https://openalex.org/C2129575","wikidata":"https://www.wikidata.org/wiki/Q54837","display_name":"Semantic Web","level":2,"score":0.48862558603286743},{"id":"https://openalex.org/C167379230","wikidata":"https://www.wikidata.org/wiki/Q1026884","display_name":"Semantic Web Stack","level":3,"score":0.4788629710674286},{"id":"https://openalex.org/C103692084","wikidata":"https://www.wikidata.org/wiki/Q1765824","display_name":"Semantic grid","level":3,"score":0.4696100652217865},{"id":"https://openalex.org/C158154518","wikidata":"https://www.wikidata.org/wiki/Q7310970","display_name":"Relevance (law)","level":2,"score":0.4574739933013916},{"id":"https://openalex.org/C511149849","wikidata":"https://www.wikidata.org/wiki/Q7449051","display_name":"Semantic computing","level":3,"score":0.4410701096057892},{"id":"https://openalex.org/C88548561","wikidata":"https://www.wikidata.org/wiki/Q347599","display_name":"sort","level":2,"score":0.4371647238731384},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.43207696080207825},{"id":"https://openalex.org/C195807954","wikidata":"https://www.wikidata.org/wiki/Q1662562","display_name":"Information extraction","level":2,"score":0.4302866756916046},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.4273761808872223},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3942563235759735},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.31316065788269043},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"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:10.1145/2254129.2254187","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2254129.2254187","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2nd International Conference on Web Intelligence, Mining and Semantics","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4","score":0.8399999737739563}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W7417641","https://openalex.org/W53759002","https://openalex.org/W1493641365","https://openalex.org/W1552538174","https://openalex.org/W1595578009","https://openalex.org/W1970945111","https://openalex.org/W2016566538","https://openalex.org/W2030098991","https://openalex.org/W2041266622","https://openalex.org/W2071106922","https://openalex.org/W2122867329","https://openalex.org/W2135456225","https://openalex.org/W2162049407","https://openalex.org/W2163296555","https://openalex.org/W2175427726","https://openalex.org/W2183306251","https://openalex.org/W2340581236","https://openalex.org/W2768581363","https://openalex.org/W3101491167","https://openalex.org/W6668005335","https://openalex.org/W6684151790"],"related_works":["https://openalex.org/W2387349142","https://openalex.org/W2495387725","https://openalex.org/W4229736327","https://openalex.org/W4243025272","https://openalex.org/W2377412487","https://openalex.org/W2369014150","https://openalex.org/W2537839963","https://openalex.org/W2038401959","https://openalex.org/W1546139022","https://openalex.org/W1605808839"],"abstract_inverted_index":{"Users":[0],"look":[1],"frequently":[2],"for":[3,125],"learning":[4,24,47,61,86,123,147],"information":[5,62],"from":[6,10,63,74],"the":[7,77,108,133,141,146,157,160],"web":[8],"or":[9,18],"databases":[11],"to":[12,15,19,28,57,89,111,120,136],"include":[13],"them":[14,21],"their":[16,90,137],"resources,":[17],"use":[20],"in":[22,66],"a":[23,36,82,113,152],"process.":[25],"In":[26],"order":[27],"satisfy":[29],"these":[30],"user's":[31],"needs,":[32],"we":[33,139,164],"proposed":[34,161],"here":[35],"model":[37,70,162],"which":[38,104,117],"aims":[39],"at":[40],"automatically":[41],"annotating":[42],"texts":[43,64],"with":[44,128],"semantic":[45,83,91,102,114,129],"metadata:":[46],"category":[48],"of":[49,85,159],"textual":[50],"segments.":[51],"These":[52],"metadata":[53],"would":[54],"allow":[55],"us":[56],"search":[58],"and":[59,163],"extract":[60],"indexed":[65],"that":[67],"way.":[68],"This":[69],"is":[71,105,118],"build":[72],"up":[73],"two":[75],"parts:":[76],"first":[78,109],"part":[79,99,110],"consists":[80],"on":[81,145,156],"annotation":[84,103],"objects":[87,124],"according":[88,135],"categories":[92],"(definition,":[93],"example,":[94],"exercise,":[95],"etc.).":[96],"The":[97],"second":[98],"uses":[100],"automatic":[101],"generated":[106],"by":[107],"create":[112],"inverted":[115],"index":[116],"able":[119],"find":[121],"relevant":[122],"queries":[126],"associated":[127],"categories.":[130],"To":[131],"sort":[132],"results":[134],"relevance,":[138],"apply":[140],"Rocchio's":[142],"classification":[143],"technique":[144],"objects.":[148],"We":[149],"have":[150,165],"implemented":[151],"system":[153],"called":[154],"SRIDoP,":[155],"basis":[158],"verified":[166],"its":[167],"effectiveness.":[168]},"counts_by_year":[{"year":2017,"cited_by_count":1},{"year":2015,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
