{"id":"https://openalex.org/W4379620317","doi":"https://doi.org/10.1145/3555776.3577756","title":"Representing and Manipulating Large Sequences of Argumentation Labellings","display_name":"Representing and Manipulating Large Sequences of Argumentation Labellings","publication_year":2023,"publication_date":"2023-03-27","ids":{"openalex":"https://openalex.org/W4379620317","doi":"https://doi.org/10.1145/3555776.3577756"},"language":"en","primary_location":{"id":"doi:10.1145/3555776.3577756","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3555776.3577756","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3555776.3577756","source":null,"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 38th ACM/SIGAPP Symposium on Applied Computing","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3555776.3577756","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5053023440","display_name":"Odinaldo Rodrigues","orcid":"https://orcid.org/0000-0001-7823-1034"},"institutions":[{"id":"https://openalex.org/I183935753","display_name":"King's College London","ror":"https://ror.org/0220mzb33","country_code":"GB","type":"education","lineage":["https://openalex.org/I124357947","https://openalex.org/I183935753"]}],"countries":["GB"],"is_corresponding":true,"raw_author_name":"Odinaldo Rodrigues","raw_affiliation_strings":["Department of Informatics, King's College London, London, United Kingdom"],"raw_orcid":"https://orcid.org/0000-0001-7823-1034","affiliations":[{"raw_affiliation_string":"Department of Informatics, King's College London, London, United Kingdom","institution_ids":["https://openalex.org/I183935753"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5053023440"],"corresponding_institution_ids":["https://openalex.org/I183935753"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.05075739,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"995","last_page":"1002"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10456","display_name":"Multi-Agent Systems and Negotiation","score":1.0,"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/T10456","display_name":"Multi-Agent Systems and Negotiation","score":1.0,"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":0.9988999962806702,"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/T10215","display_name":"Semantic Web and Ontologies","score":0.9972000122070312,"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/argumentation-theory","display_name":"Argumentation theory","score":0.9561744928359985},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6144669651985168},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.5474971532821655},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.5211872458457947},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.5204946398735046},{"id":"https://openalex.org/keywords/semantics","display_name":"Semantics (computer science)","score":0.5105668306350708},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.4600711762905121},{"id":"https://openalex.org/keywords/vector-space","display_name":"Vector space","score":0.4370403587818146},{"id":"https://openalex.org/keywords/competition","display_name":"Competition (biology)","score":0.43594443798065186},{"id":"https://openalex.org/keywords/algebra-over-a-field","display_name":"Algebra over a field","score":0.3209351897239685},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2939411699771881},{"id":"https://openalex.org/keywords/epistemology","display_name":"Epistemology","score":0.27813100814819336},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.2400212585926056},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2244630753993988},{"id":"https://openalex.org/keywords/pure-mathematics","display_name":"Pure mathematics","score":0.11842438578605652},{"id":"https://openalex.org/keywords/philosophy","display_name":"Philosophy","score":0.08223313093185425}],"concepts":[{"id":"https://openalex.org/C65059942","wikidata":"https://www.wikidata.org/wiki/Q270105","display_name":"Argumentation theory","level":2,"score":0.9561744928359985},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6144669651985168},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.5474971532821655},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.5211872458457947},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.5204946398735046},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.5105668306350708},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.4600711762905121},{"id":"https://openalex.org/C13336665","wikidata":"https://www.wikidata.org/wiki/Q125977","display_name":"Vector space","level":2,"score":0.4370403587818146},{"id":"https://openalex.org/C91306197","wikidata":"https://www.wikidata.org/wiki/Q45767","display_name":"Competition (biology)","level":2,"score":0.43594443798065186},{"id":"https://openalex.org/C136119220","wikidata":"https://www.wikidata.org/wiki/Q1000660","display_name":"Algebra over a field","level":2,"score":0.3209351897239685},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2939411699771881},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.27813100814819336},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.2400212585926056},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2244630753993988},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.11842438578605652},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.08223313093185425},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C18903297","wikidata":"https://www.wikidata.org/wiki/Q7150","display_name":"Ecology","level":1,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"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/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/3555776.3577756","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3555776.3577756","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3555776.3577756","source":null,"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 38th ACM/SIGAPP Symposium on Applied Computing","raw_type":"proceedings-article"},{"id":"pmh:oai:kclpure.kcl.ac.uk:openaire/fa69f212-f3ff-4448-91b2-ebf9351dc9b3","is_oa":true,"landing_page_url":"https://kclpure.kcl.ac.uk/portal/en/publications/fa69f212-f3ff-4448-91b2-ebf9351dc9b3","pdf_url":null,"source":{"id":"https://openalex.org/S4306400216","display_name":"Research Portal (King's College London)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I183935753","host_organization_name":"King's College London","host_organization_lineage":["https://openalex.org/I183935753"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Rodrigues, O 2022, Representing and Manipulating Large Sequences of Argumentation Labellings. in The 38th ACM/SIGAPP Symposium on Applied Computing (SAC\u201923)., 1692, New York. https://doi.org/10.1145/3555776.3577756","raw_type":"info:eu-repo/semantics/publishedVersion"}],"best_oa_location":{"id":"doi:10.1145/3555776.3577756","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3555776.3577756","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3555776.3577756","source":null,"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 38th ACM/SIGAPP Symposium on Applied Computing","raw_type":"proceedings-article"},"sustainable_development_goals":[{"display_name":"Partnerships for the goals","id":"https://metadata.un.org/sdg/17","score":0.5}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4379620317.pdf","grobid_xml":"https://content.openalex.org/works/W4379620317.grobid-xml"},"referenced_works_count":14,"referenced_works":["https://openalex.org/W1992259854","https://openalex.org/W1994036389","https://openalex.org/W2003822553","https://openalex.org/W2083735344","https://openalex.org/W2104126268","https://openalex.org/W2112029595","https://openalex.org/W2791216436","https://openalex.org/W2792470890","https://openalex.org/W3005690185","https://openalex.org/W3120375738","https://openalex.org/W3146824751","https://openalex.org/W3158314322","https://openalex.org/W4211256391","https://openalex.org/W6773986277"],"related_works":["https://openalex.org/W3216091191","https://openalex.org/W2055753235","https://openalex.org/W1534951987","https://openalex.org/W189910397","https://openalex.org/W2125054102","https://openalex.org/W3205896373","https://openalex.org/W3188723921","https://openalex.org/W1988666619","https://openalex.org/W2793653224","https://openalex.org/W1499261285"],"abstract_inverted_index":{"This":[0],"paper":[1],"proposes":[2],"a":[3,42],"canonical":[4],"ordering":[5],"of":[6,16,19,29,35,44,56,71,76,80,90,97,104,114],"arguments":[7],"within":[8,107],"abstract":[9],"argumentation":[10,30,118],"labellings":[11,21,93],"and":[12,59],"two":[13],"new":[14,88,115],"types":[15],"efficient":[17],"representations":[18,37],"these":[20],"for":[22,61,112],"use":[23],"in":[24,117],"applications":[25,116],"involving":[26],"the":[27,36,50,72,87,98,110],"computation":[28],"semantics.":[31],"The":[32],"space":[33],"requirements":[34,75],"are":[38],"analysed,":[39],"benchmarked":[40],"on":[41,53],"class":[43],"hard":[45],"enumeration":[46],"problems":[47],"taken":[48],"from":[49],"International":[51],"Competition":[52],"Computational":[54],"Models":[55],"Argumentation":[57],"(ICCMA),":[58],"compared":[60],"efficiency.":[62],"We":[63,84],"found":[64],"that":[65,86],"they":[66],"both":[67],"offer":[68],"significant":[69],"reductions":[70],"memory":[73],"representation":[74],"large":[77],"labellings,":[78,108],"sometimes":[79],"up":[81],"to":[82],"75%.":[83],"argue":[85],"way":[89,111],"looking":[91],"at":[92],"provided":[94],"by":[95,101],"one":[96],"representations,":[99],"i.e.,":[100],"considering":[102],"repetitions":[103],"segment":[105],"assignments":[106],"paves":[109],"investigations":[113],"theory.":[119]},"counts_by_year":[],"updated_date":"2026-08-21T09:56:20.448147","created_date":"2025-10-10T00:00:00"}
