{"id":"https://openalex.org/W1991148296","doi":"https://doi.org/10.1145/2254129.2254214","title":"Using Bayesian networks theory for aggregated search to XML retrieval","display_name":"Using Bayesian networks theory for aggregated search to XML retrieval","publication_year":2012,"publication_date":"2012-06-13","ids":{"openalex":"https://openalex.org/W1991148296","doi":"https://doi.org/10.1145/2254129.2254214","mag":"1991148296"},"language":"en","primary_location":{"id":"doi:10.1145/2254129.2254214","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2254129.2254214","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/A5086847683","display_name":"Najeh Naffakhi","orcid":null},"institutions":[{"id":"https://openalex.org/I17866349","display_name":"Universit\u00e9 de Toulouse","ror":"https://ror.org/004raaa70","country_code":"FR","type":"education","lineage":["https://openalex.org/I17866349"]}],"countries":["FR"],"is_corresponding":true,"raw_author_name":"N. Naffakhi","raw_affiliation_strings":["University of Toulouse, route de Narbonne, Toulouse, France","University of Toulouse, route de Narbonne, Toulouse, France#TAB#"],"affiliations":[{"raw_affiliation_string":"University of Toulouse, route de Narbonne, Toulouse, France","institution_ids":["https://openalex.org/I17866349"]},{"raw_affiliation_string":"University of Toulouse, route de Narbonne, Toulouse, France#TAB#","institution_ids":["https://openalex.org/I17866349"]}]},{"author_position":"last","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":"R. Faiz","raw_affiliation_strings":["University of Carthage, Carthage, Tunisia","University of Carthage, Carthage, Tunisia#TAB#"],"affiliations":[{"raw_affiliation_string":"University of Carthage, Carthage, Tunisia","institution_ids":["https://openalex.org/I179097149"]},{"raw_affiliation_string":"University of Carthage, Carthage, Tunisia#TAB#","institution_ids":["https://openalex.org/I179097149"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5086847683"],"corresponding_institution_ids":["https://openalex.org/I17866349"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.07376997,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"4"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11106","display_name":"Data Management and Algorithms","score":0.9993000030517578,"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"}},"topics":[{"id":"https://openalex.org/T11106","display_name":"Data Management and Algorithms","score":0.9993000030517578,"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/T10317","display_name":"Advanced Database Systems and Queries","score":0.9980999827384949,"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/T10286","display_name":"Information Retrieval and Search Behavior","score":0.9977999925613403,"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":0.8459560871124268},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.7693378925323486},{"id":"https://openalex.org/keywords/xml","display_name":"XML","score":0.5935910940170288},{"id":"https://openalex.org/keywords/document-structure-description","display_name":"Document Structure Description","score":0.5754885077476501},{"id":"https://openalex.org/keywords/disjoint-sets","display_name":"Disjoint sets","score":0.5259376168251038},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.4540995657444},{"id":"https://openalex.org/keywords/ranking","display_name":"Ranking (information retrieval)","score":0.42992717027664185},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.4232587516307831},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3574674129486084},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.20713216066360474},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.061897099018096924},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.06154891848564148}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8459560871124268},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.7693378925323486},{"id":"https://openalex.org/C8797682","wikidata":"https://www.wikidata.org/wiki/Q2115","display_name":"XML","level":2,"score":0.5935910940170288},{"id":"https://openalex.org/C68699486","wikidata":"https://www.wikidata.org/wiki/Q265904","display_name":"Document Structure Description","level":3,"score":0.5754885077476501},{"id":"https://openalex.org/C45340560","wikidata":"https://www.wikidata.org/wiki/Q215382","display_name":"Disjoint sets","level":2,"score":0.5259376168251038},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.4540995657444},{"id":"https://openalex.org/C189430467","wikidata":"https://www.wikidata.org/wiki/Q7293293","display_name":"Ranking (information retrieval)","level":2,"score":0.42992717027664185},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.4232587516307831},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3574674129486084},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.20713216066360474},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.061897099018096924},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.06154891848564148},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/2254129.2254214","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2254129.2254214","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":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W51503012","https://openalex.org/W124194156","https://openalex.org/W1993320088","https://openalex.org/W2007197665","https://openalex.org/W2015512514","https://openalex.org/W2019976352","https://openalex.org/W2032195233","https://openalex.org/W2034540658","https://openalex.org/W2035814200","https://openalex.org/W2088499566","https://openalex.org/W2102618089","https://openalex.org/W2118302148","https://openalex.org/W2132314908","https://openalex.org/W2140116426","https://openalex.org/W2151335566","https://openalex.org/W2168859760","https://openalex.org/W4244833938","https://openalex.org/W6602043856"],"related_works":["https://openalex.org/W4256429076","https://openalex.org/W1971174658","https://openalex.org/W2099195351","https://openalex.org/W2348092930","https://openalex.org/W2012063272","https://openalex.org/W3129272755","https://openalex.org/W2138685729","https://openalex.org/W26693340","https://openalex.org/W1963777171","https://openalex.org/W2132864204"],"abstract_inverted_index":{"In":[0,34],"this":[1,35],"paper,":[2],"we":[3,70],"are":[4,30,63,84],"interested":[5],"in":[6,9],"aggregated":[7],"search":[8],"structured":[10,16],"XML":[11,47],"documents.":[12],"We":[13,88],"present":[14],"a":[15,41,53,57,74,79],"information":[17],"retrieval":[18],"model":[19],"based":[20],"on":[21],"the":[22,37,46,68,93,104,107],"Bayesian":[23],"networks":[24],"theory.":[25],"Query-terms":[26],"and":[27,97],"terms-elements":[28],"relations":[29],"modeled":[31],"through":[32],"probability.":[33],"model,":[36],"user's":[38],"query":[39],"starts":[40],"propagation":[42],"process":[43],"to":[44,65,72],"recover":[45],"elements.":[48],"Thus,":[49],"instead":[50],"of":[51,59,81,106],"retrieving":[52],"whole":[54],"document":[55,76],"or":[56],"list":[58],"disjoint":[60],"elements":[61],"that":[62,77,83],"likely":[64],"answer":[66],"partially":[67],"query,":[69],"attempt":[71],"built":[73],"virtual":[75],"aggregates":[78],"set":[80],"elements,":[82],"relevant":[85],"all":[86],"together.":[87],"evaluated":[89],"our":[90],"approach":[91],"using":[92],"INEX":[94],"2009":[95],"collection":[96],"presented":[98],"some":[99],"empirical":[100],"results":[101],"for":[102],"evaluating":[103],"impact":[105],"aggregation":[108],"approach.":[109]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
