{"id":"https://openalex.org/W2967211504","doi":"https://doi.org/10.1017/s1471068419000097","title":"Action-Centered Information Retrieval","display_name":"Action-Centered Information Retrieval","publication_year":2019,"publication_date":"2019-08-09","ids":{"openalex":"https://openalex.org/W2967211504","doi":"https://doi.org/10.1017/s1471068419000097","mag":"2967211504"},"language":"en","primary_location":{"id":"doi:10.1017/s1471068419000097","is_oa":false,"landing_page_url":"https://doi.org/10.1017/s1471068419000097","pdf_url":null,"source":{"id":"https://openalex.org/S59670734","display_name":"Theory and Practice of Logic Programming","issn_l":"1471-0684","issn":["1471-0684","1475-3081"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310311721","host_organization_name":"Cambridge University Press","host_organization_lineage":["https://openalex.org/P4310311721","https://openalex.org/P4310311702"],"host_organization_lineage_names":["Cambridge University Press","University of Cambridge"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Theory and Practice of Logic Programming","raw_type":"journal-article"},"type":"article","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/1903.09850","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"MARCELLO BALDUCCINI","orcid":null},"institutions":[{"id":"https://openalex.org/I51077184","display_name":"Saint Joseph's University","ror":"https://ror.org/05q87sg56","country_code":"US","type":"education","lineage":["https://openalex.org/I51077184"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"MARCELLO BALDUCCINI","raw_affiliation_strings":["Saint Joseph\u2019s University, Philadelphia, PA, USA (e-mail:"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Saint Joseph\u2019s University, Philadelphia, PA, USA (e-mail:","institution_ids":["https://openalex.org/I51077184"]}]},{"author_position":"last","author":{"id":null,"display_name":"EMILY C. LEBLANC","orcid":null},"institutions":[{"id":"https://openalex.org/I72816309","display_name":"Drexel University","ror":"https://ror.org/04bdffz58","country_code":"US","type":"education","lineage":["https://openalex.org/I72816309"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"EMILY C. LEBLANC","raw_affiliation_strings":["Drexel University, Philadelphia, PA, USA (e-mail:"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Drexel University, Philadelphia, PA, USA (e-mail:","institution_ids":["https://openalex.org/I72816309"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I51077184"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.08791462,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"20","issue":"2","first_page":"249","last_page":"272"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10215","display_name":"Semantic Web and Ontologies","score":0.335999995470047,"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":0.335999995470047,"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/T11010","display_name":"Logic, Reasoning, and Knowledge","score":0.2897000014781952,"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/T10028","display_name":"Topic Modeling","score":0.06270000338554382,"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/task","display_name":"Task (project management)","score":0.6355000138282776},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5878000259399414},{"id":"https://openalex.org/keywords/query-expansion","display_name":"Query expansion","score":0.5282999873161316},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.5138000249862671},{"id":"https://openalex.org/keywords/semantic-matching","display_name":"Semantic matching","score":0.48510000109672546},{"id":"https://openalex.org/keywords/query-language","display_name":"Query language","score":0.39559999108314514}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.9333000183105469},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.7609000205993652},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.6355000138282776},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5878000259399414},{"id":"https://openalex.org/C99016210","wikidata":"https://www.wikidata.org/wiki/Q5488129","display_name":"Query expansion","level":2,"score":0.5282999873161316},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.5138000249862671},{"id":"https://openalex.org/C2778493491","wikidata":"https://www.wikidata.org/wiki/Q7449072","display_name":"Semantic matching","level":3,"score":0.48510000109672546},{"id":"https://openalex.org/C192028432","wikidata":"https://www.wikidata.org/wiki/Q845739","display_name":"Query language","level":2,"score":0.39559999108314514},{"id":"https://openalex.org/C161156560","wikidata":"https://www.wikidata.org/wiki/Q1638872","display_name":"Document retrieval","level":2,"score":0.3896999955177307},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.3799000084400177},{"id":"https://openalex.org/C2780791683","wikidata":"https://www.wikidata.org/wiki/Q846785","display_name":"Action (physics)","level":2,"score":0.3677999973297119},{"id":"https://openalex.org/C48103436","wikidata":"https://www.wikidata.org/wiki/Q599031","display_name":"State (computer science)","level":2,"score":0.34459999203681946},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.3208000063896179},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.31769999861717224},{"id":"https://openalex.org/C44291984","wikidata":"https://www.wikidata.org/wiki/Q1074173","display_name":"Question answering","level":2,"score":0.30469998717308044},{"id":"https://openalex.org/C118689300","wikidata":"https://www.wikidata.org/wiki/Q7978614","display_name":"Web query classification","level":4,"score":0.30219998955726624}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1017/s1471068419000097","is_oa":false,"landing_page_url":"https://doi.org/10.1017/s1471068419000097","pdf_url":null,"source":{"id":"https://openalex.org/S59670734","display_name":"Theory and Practice of Logic Programming","issn_l":"1471-0684","issn":["1471-0684","1475-3081"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310311721","host_organization_name":"Cambridge University Press","host_organization_lineage":["https://openalex.org/P4310311721","https://openalex.org/P4310311702"],"host_organization_lineage_names":["Cambridge University Press","University of Cambridge"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Theory and Practice of Logic Programming","raw_type":"journal-article"},{"id":"pmh:oai:arXiv.org:1903.09850","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1903.09850","pdf_url":"https://arxiv.org/pdf/1903.09850","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"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":"text"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:1903.09850","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1903.09850","pdf_url":"https://arxiv.org/pdf/1903.09850","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"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":"text"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W24256479","https://openalex.org/W1520000071","https://openalex.org/W1565102206","https://openalex.org/W1927551958","https://openalex.org/W1979963107","https://openalex.org/W1993692165","https://openalex.org/W2025008902","https://openalex.org/W2025327371","https://openalex.org/W2039297031","https://openalex.org/W2080091808","https://openalex.org/W2114544510","https://openalex.org/W2252198809","https://openalex.org/W2479276629","https://openalex.org/W2563976356","https://openalex.org/W4213009331","https://openalex.org/W6606482852","https://openalex.org/W6639055396","https://openalex.org/W6746782386"],"related_works":[],"abstract_inverted_index":{"Abstract":[0],"Information":[1],"retrieval":[2],"(IR)":[3],"aims":[4],"at":[5,31],"retrieving":[6],"documents":[7,51,73],"that":[8],"are":[9,58],"most":[10],"relevant":[11],"to":[12],"a":[13,17,32,44],"query":[14,75],"provided":[15],"by":[16,89],"user.":[18],"Traditional":[19],"techniques":[20],"rely":[21],"mostly":[22],"on":[23],"syntactic":[24],"methods.":[25],"In":[26,39,68],"some":[27],"cases,":[28],"however,":[29],"links":[30],"deeper":[33],"semantic":[34],"level":[35],"must":[36],"be":[37],"considered.":[38],"this":[40,69],"paper,":[41],"we":[42],"explore":[43],"type":[45],"of":[46,54,62],"IR":[47,104],"task":[48,105],"in":[49],"which":[50],"describe":[52],"sequences":[53],"events,":[55],"and":[56,74,84,99],"queries":[57],"about":[59],"the":[60,63,78,91,102],"state":[61],"world":[64],"after":[65],"such":[66],"events.":[67],"context,":[70],"successfully":[71],"matching":[72],"requires":[76],"considering":[77],"events\u2019":[79],"possibly":[80],"implicit":[81],"uncertain":[82],"effects":[83],"side":[85],"effects.":[86],"We":[87],"begin":[88],"analyzing":[90],"problem,":[92],"then":[93],"propose":[94],"an":[95],"action":[96],"language-based":[97],"formalization,":[98],"finally":[100],"automate":[101],"corresponding":[103],"using":[106],"answer":[107],"set":[108],"programming.":[109]},"counts_by_year":[],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2019-08-22T00:00:00"}