{"id":"https://openalex.org/W2012133642","doi":"https://doi.org/10.4018/jitwe.2006100104","title":"A Deterministic Approach to XML Query Processing with Efficient Support for Pure and Negated Containments","display_name":"A Deterministic Approach to XML Query Processing with Efficient Support for Pure and Negated Containments","publication_year":2006,"publication_date":"2006-10-01","ids":{"openalex":"https://openalex.org/W2012133642","doi":"https://doi.org/10.4018/jitwe.2006100104","mag":"2012133642"},"language":"en","primary_location":{"id":"doi:10.4018/jitwe.2006100104","is_oa":false,"landing_page_url":"https://doi.org/10.4018/jitwe.2006100104","pdf_url":null,"source":{"id":"https://openalex.org/S152329874","display_name":"International Journal of Information Technology and Web Engineering","issn_l":"1554-1045","issn":["1554-1045","1554-1053"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320424","host_organization_name":"IGI Global","host_organization_lineage":["https://openalex.org/P4310320424"],"host_organization_lineage_names":["IGI Global"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Information Technology and Web Engineering","raw_type":"journal-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/A5072935024","display_name":"Dunren Che","orcid":"https://orcid.org/0000-0002-9906-4295"},"institutions":[{"id":"https://openalex.org/I110378019","display_name":"Southern Illinois University Carbondale","ror":"https://ror.org/049kefs16","country_code":"US","type":"education","lineage":["https://openalex.org/I110378019","https://openalex.org/I2801502357"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Dunren Che","raw_affiliation_strings":["Southern Illinois University at Carbondale, USA"],"affiliations":[{"raw_affiliation_string":"Southern Illinois University at Carbondale, USA","institution_ids":["https://openalex.org/I110378019"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5072935024"],"corresponding_institution_ids":["https://openalex.org/I110378019"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.13114783,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"1","issue":"4","first_page":"49","last_page":"67"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10317","display_name":"Advanced Database Systems and Queries","score":0.9998999834060669,"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"}},"topics":[{"id":"https://openalex.org/T10317","display_name":"Advanced Database Systems and Queries","score":0.9998999834060669,"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/T11106","display_name":"Data Management and Algorithms","score":0.9994999766349792,"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/T10215","display_name":"Semantic Web and Ontologies","score":0.9973000288009644,"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":0.8222514390945435},{"id":"https://openalex.org/keywords/xml","display_name":"XML","score":0.668755829334259},{"id":"https://openalex.org/keywords/transformation","display_name":"Transformation (genetics)","score":0.5792979001998901},{"id":"https://openalex.org/keywords/heuristic","display_name":"Heuristic","score":0.5416749715805054},{"id":"https://openalex.org/keywords/xpath","display_name":"XPath","score":0.45830869674682617},{"id":"https://openalex.org/keywords/query-optimization","display_name":"Query optimization","score":0.4539503753185272},{"id":"https://openalex.org/keywords/xml-schema","display_name":"XML Schema (W3C)","score":0.42878806591033936},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.40016138553619385},{"id":"https://openalex.org/keywords/streaming-xml","display_name":"Streaming XML","score":0.38177403807640076},{"id":"https://openalex.org/keywords/xml-database","display_name":"XML database","score":0.38046982884407043},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.3577495813369751},{"id":"https://openalex.org/keywords/xml-encryption","display_name":"XML Encryption","score":0.285370409488678},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.0900859534740448},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.06958252191543579}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8222514390945435},{"id":"https://openalex.org/C8797682","wikidata":"https://www.wikidata.org/wiki/Q2115","display_name":"XML","level":2,"score":0.668755829334259},{"id":"https://openalex.org/C204241405","wikidata":"https://www.wikidata.org/wiki/Q461499","display_name":"Transformation (genetics)","level":3,"score":0.5792979001998901},{"id":"https://openalex.org/C173801870","wikidata":"https://www.wikidata.org/wiki/Q201413","display_name":"Heuristic","level":2,"score":0.5416749715805054},{"id":"https://openalex.org/C2780213375","wikidata":"https://www.wikidata.org/wiki/Q16340","display_name":"XPath","level":4,"score":0.45830869674682617},{"id":"https://openalex.org/C157692150","wikidata":"https://www.wikidata.org/wiki/Q2919848","display_name":"Query optimization","level":2,"score":0.4539503753185272},{"id":"https://openalex.org/C40713593","wikidata":"https://www.wikidata.org/wiki/Q16342","display_name":"XML Schema (W3C)","level":5,"score":0.42878806591033936},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.40016138553619385},{"id":"https://openalex.org/C44883583","wikidata":"https://www.wikidata.org/wiki/Q7622687","display_name":"Streaming XML","level":3,"score":0.38177403807640076},{"id":"https://openalex.org/C183068750","wikidata":"https://www.wikidata.org/wiki/Q357393","display_name":"XML database","level":3,"score":0.38046982884407043},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.3577495813369751},{"id":"https://openalex.org/C173242113","wikidata":"https://www.wikidata.org/wiki/Q607488","display_name":"XML Encryption","level":4,"score":0.285370409488678},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.0900859534740448},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.06958252191543579},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.4018/jitwe.2006100104","is_oa":false,"landing_page_url":"https://doi.org/10.4018/jitwe.2006100104","pdf_url":null,"source":{"id":"https://openalex.org/S152329874","display_name":"International Journal of Information Technology and Web Engineering","issn_l":"1554-1045","issn":["1554-1045","1554-1053"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320424","host_organization_name":"IGI Global","host_organization_lineage":["https://openalex.org/P4310320424"],"host_organization_lineage_names":["IGI Global"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Information Technology and Web Engineering","raw_type":"journal-article"},{"id":"pmh:oai:RePEc:igg:jitwe0:v:1:y:2006:i:4:p:49-67","is_oa":false,"landing_page_url":"https://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/jitwe.2006100104","pdf_url":null,"source":{"id":"https://openalex.org/S4306401271","display_name":"RePEc: Research Papers in Economics","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I77793887","host_organization_name":"Federal Reserve Bank of St. Louis","host_organization_lineage":["https://openalex.org/I77793887"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":26,"referenced_works":["https://openalex.org/W172857819","https://openalex.org/W1508914815","https://openalex.org/W1515993376","https://openalex.org/W1540516609","https://openalex.org/W1759713541","https://openalex.org/W1817900002","https://openalex.org/W1872053084","https://openalex.org/W1912713675","https://openalex.org/W1941844167","https://openalex.org/W1994584751","https://openalex.org/W1994694191","https://openalex.org/W2100674109","https://openalex.org/W2107683037","https://openalex.org/W2110459974","https://openalex.org/W2113836856","https://openalex.org/W2115221160","https://openalex.org/W2122610012","https://openalex.org/W2123645388","https://openalex.org/W2126632912","https://openalex.org/W2128404249","https://openalex.org/W2134356021","https://openalex.org/W2153329411","https://openalex.org/W2158141386","https://openalex.org/W2164501930","https://openalex.org/W2230830246","https://openalex.org/W4285719527"],"related_works":["https://openalex.org/W165852420","https://openalex.org/W207633616","https://openalex.org/W1597906172","https://openalex.org/W2601954520","https://openalex.org/W1535577451","https://openalex.org/W2400291413","https://openalex.org/W2146200818","https://openalex.org/W2298092871","https://openalex.org/W3129453902","https://openalex.org/W2096267046"],"abstract_inverted_index":{"This":[0,51],"article":[1],"reports":[2],"the":[3,6,66,93,98],"result":[4],"of":[5,97,105],"author\u2019s":[7],"recent":[8],"work":[9],"on":[10,58],"XML":[11,21,35,106],"query":[12,60],"processing/optimization,":[13],"which":[14],"is":[15,48],"a":[16,42],"very":[17],"important":[18],"issue":[19],"in":[20,27,62,103],"data":[22],"management.":[23],"In":[24],"this":[25],"work,":[26],"order":[28,63],"to":[29,54,64],"more":[30],"effectively":[31],"and":[32,77,83,95,101],"efficiently":[33],"handle":[34],"queries":[36,107],"involving":[37,108],"pure":[38,82,109],"and/or":[39,110],"negated":[40,84,111],"containments,":[41],"previously":[43],"proposed":[44],"deterministic":[45,56],"optimization":[46,69],"approach":[47,52,100],"largely":[49],"adapted.":[50],"resorts":[53],"heuristic-based":[55],"transformations":[57],"algebraic":[59],"expressions":[61],"achieve":[65],"best":[67],"possible":[68],"efficiency.":[70],"Specialized":[71],"transformation":[72],"rules":[73],"are":[74,86],"thus":[75],"developed,":[76],"efficient":[78],"implementation":[79],"algorithms":[80,102],"for":[81],"containments":[85],"presented":[87,99],"as":[88],"well.":[89],"Experimental":[90],"study":[91],"confirms":[92],"validity":[94],"effectiveness":[96],"processing":[104],"containments.":[112]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
