{"id":"https://openalex.org/W1572440314","doi":"https://doi.org/10.1007/11431053_26","title":"Dually Structured Concepts in the Semantic Web: Answer Set Programming Approach","display_name":"Dually Structured Concepts in the Semantic Web: Answer Set Programming Approach","publication_year":2005,"publication_date":"2005-01-01","ids":{"openalex":"https://openalex.org/W1572440314","doi":"https://doi.org/10.1007/11431053_26","mag":"1572440314"},"language":"en","primary_location":{"id":"doi:10.1007/11431053_26","is_oa":true,"landing_page_url":"https://doi.org/10.1007/11431053_26","pdf_url":"https://link.springer.com/content/pdf/10.1007%2F11431053_26.pdf","source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"bronze","oa_url":"https://link.springer.com/content/pdf/10.1007%2F11431053_26.pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5087160134","display_name":"Patryk Burek","orcid":"https://orcid.org/0000-0001-8165-0272"},"institutions":[{"id":"https://openalex.org/I926574661","display_name":"Leipzig University","ror":"https://ror.org/03s7gtk40","country_code":"DE","type":"education","lineage":["https://openalex.org/I926574661"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Patryk Burek","raw_affiliation_strings":["Department of Computer Science, University of Leipzig, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of Leipzig, Germany","institution_ids":["https://openalex.org/I926574661"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5066663132","display_name":"Rafa\u0142 Grabo\u015b","orcid":null},"institutions":[{"id":"https://openalex.org/I926574661","display_name":"Leipzig University","ror":"https://ror.org/03s7gtk40","country_code":"DE","type":"education","lineage":["https://openalex.org/I926574661"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Rafa\u0142 Grabo\u015b","raw_affiliation_strings":["Department of Computer Science, University of Leipzig, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of Leipzig, Germany","institution_ids":["https://openalex.org/I926574661"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I926574661"],"apc_list":{"value":5000,"currency":"EUR","value_usd":5392},"apc_paid":null,"fwci":0.2465,"has_fulltext":true,"cited_by_count":1,"citation_normalized_percentile":{"value":0.47964119,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"377","last_page":"391"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11010","display_name":"Logic, Reasoning, and Knowledge","score":0.9998999834060669,"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/T11010","display_name":"Logic, Reasoning, and Knowledge","score":0.9998999834060669,"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/T10456","display_name":"Multi-Agent Systems and Negotiation","score":0.9994999766349792,"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":0.989300012588501,"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":0.8093792796134949},{"id":"https://openalex.org/keywords/semantic-reasoner","display_name":"Semantic reasoner","score":0.803581714630127},{"id":"https://openalex.org/keywords/defeasible-estate","display_name":"Defeasible estate","score":0.7502260208129883},{"id":"https://openalex.org/keywords/defeasible-reasoning","display_name":"Defeasible reasoning","score":0.6616624593734741},{"id":"https://openalex.org/keywords/answer-set-programming","display_name":"Answer set programming","score":0.6575714945793152},{"id":"https://openalex.org/keywords/description-logic","display_name":"Description logic","score":0.6567792892456055},{"id":"https://openalex.org/keywords/semantic-web","display_name":"Semantic Web","score":0.6328691244125366},{"id":"https://openalex.org/keywords/axiom","display_name":"Axiom","score":0.573184072971344},{"id":"https://openalex.org/keywords/non-monotonic-logic","display_name":"Non-monotonic logic","score":0.5706273913383484},{"id":"https://openalex.org/keywords/default-logic","display_name":"Default logic","score":0.49721911549568176},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.4879309833049774},{"id":"https://openalex.org/keywords/semantics","display_name":"Semantics (computer science)","score":0.4760163426399231},{"id":"https://openalex.org/keywords/semantic-web-rule-language","display_name":"Semantic Web Rule Language","score":0.4721798002719879},{"id":"https://openalex.org/keywords/knowledge-representation-and-reasoning","display_name":"Knowledge representation and reasoning","score":0.45978644490242004},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.45310303568840027},{"id":"https://openalex.org/keywords/circumscription","display_name":"Circumscription","score":0.4295167624950409},{"id":"https://openalex.org/keywords/web-ontology-language","display_name":"Web Ontology Language","score":0.4279315173625946},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.42663952708244324},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.4093102812767029},{"id":"https://openalex.org/keywords/semantic-web-stack","display_name":"Semantic Web Stack","score":0.2269069254398346},{"id":"https://openalex.org/keywords/semantic-analytics","display_name":"Semantic analytics","score":0.1570815145969391},{"id":"https://openalex.org/keywords/autoepistemic-logic","display_name":"Autoepistemic logic","score":0.10523241758346558},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.08753320574760437}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8093792796134949},{"id":"https://openalex.org/C9616225","wikidata":"https://www.wikidata.org/wiki/Q3929429","display_name":"Semantic reasoner","level":2,"score":0.803581714630127},{"id":"https://openalex.org/C193856179","wikidata":"https://www.wikidata.org/wiki/Q5251100","display_name":"Defeasible estate","level":2,"score":0.7502260208129883},{"id":"https://openalex.org/C140843580","wikidata":"https://www.wikidata.org/wiki/Q840067","display_name":"Defeasible reasoning","level":2,"score":0.6616624593734741},{"id":"https://openalex.org/C182620335","wikidata":"https://www.wikidata.org/wiki/Q2852531","display_name":"Answer set programming","level":3,"score":0.6575714945793152},{"id":"https://openalex.org/C102993220","wikidata":"https://www.wikidata.org/wiki/Q387196","display_name":"Description logic","level":2,"score":0.6567792892456055},{"id":"https://openalex.org/C2129575","wikidata":"https://www.wikidata.org/wiki/Q54837","display_name":"Semantic Web","level":2,"score":0.6328691244125366},{"id":"https://openalex.org/C167729594","wikidata":"https://www.wikidata.org/wiki/Q17736","display_name":"Axiom","level":2,"score":0.573184072971344},{"id":"https://openalex.org/C159032336","wikidata":"https://www.wikidata.org/wiki/Q2488768","display_name":"Non-monotonic logic","level":2,"score":0.5706273913383484},{"id":"https://openalex.org/C160236029","wikidata":"https://www.wikidata.org/wiki/Q842421","display_name":"Default logic","level":5,"score":0.49721911549568176},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.4879309833049774},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.4760163426399231},{"id":"https://openalex.org/C71695816","wikidata":"https://www.wikidata.org/wiki/Q3478367","display_name":"Semantic Web Rule Language","level":5,"score":0.4721798002719879},{"id":"https://openalex.org/C161301231","wikidata":"https://www.wikidata.org/wiki/Q3478658","display_name":"Knowledge representation and reasoning","level":2,"score":0.45978644490242004},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.45310303568840027},{"id":"https://openalex.org/C62360110","wikidata":"https://www.wikidata.org/wiki/Q96777007","display_name":"Circumscription","level":2,"score":0.4295167624950409},{"id":"https://openalex.org/C101230327","wikidata":"https://www.wikidata.org/wiki/Q826165","display_name":"Web Ontology Language","level":3,"score":0.4279315173625946},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.42663952708244324},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.4093102812767029},{"id":"https://openalex.org/C167379230","wikidata":"https://www.wikidata.org/wiki/Q1026884","display_name":"Semantic Web Stack","level":3,"score":0.2269069254398346},{"id":"https://openalex.org/C148792806","wikidata":"https://www.wikidata.org/wiki/Q7449046","display_name":"Semantic analytics","level":4,"score":0.1570815145969391},{"id":"https://openalex.org/C3845977","wikidata":"https://www.wikidata.org/wiki/Q4826262","display_name":"Autoepistemic logic","level":4,"score":0.10523241758346558},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.08753320574760437},{"id":"https://openalex.org/C203659156","wikidata":"https://www.wikidata.org/wiki/Q6934805","display_name":"Multimodal logic","level":3,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1007/11431053_26","is_oa":true,"landing_page_url":"https://doi.org/10.1007/11431053_26","pdf_url":"https://link.springer.com/content/pdf/10.1007%2F11431053_26.pdf","source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.92.9783","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.92.9783","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.onto-med.de/en/publications/refereed-papers-in-proceedings/burek-p-2005-377-a.pdf","raw_type":"text"}],"best_oa_location":{"id":"doi:10.1007/11431053_26","is_oa":true,"landing_page_url":"https://doi.org/10.1007/11431053_26","pdf_url":"https://link.springer.com/content/pdf/10.1007%2F11431053_26.pdf","source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"},"sustainable_development_goals":[{"score":0.49000000953674316,"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W1572440314.pdf","grobid_xml":"https://content.openalex.org/works/W1572440314.grobid-xml"},"referenced_works_count":42,"referenced_works":["https://openalex.org/W73864267","https://openalex.org/W95201837","https://openalex.org/W165210145","https://openalex.org/W169453374","https://openalex.org/W174342562","https://openalex.org/W1482090628","https://openalex.org/W1498153914","https://openalex.org/W1504482310","https://openalex.org/W1515730021","https://openalex.org/W1520957705","https://openalex.org/W1542417898","https://openalex.org/W1548436058","https://openalex.org/W1555563750","https://openalex.org/W1572651397","https://openalex.org/W1587067956","https://openalex.org/W1651266083","https://openalex.org/W1971688516","https://openalex.org/W1976055110","https://openalex.org/W1983984326","https://openalex.org/W1984529395","https://openalex.org/W1992204783","https://openalex.org/W2000255081","https://openalex.org/W2001082547","https://openalex.org/W2043673291","https://openalex.org/W2048746006","https://openalex.org/W2092211394","https://openalex.org/W2100983017","https://openalex.org/W2117920479","https://openalex.org/W2137499847","https://openalex.org/W2139245274","https://openalex.org/W2159525276","https://openalex.org/W2159853262","https://openalex.org/W2175390224","https://openalex.org/W2479803326","https://openalex.org/W2912565176","https://openalex.org/W2952727465","https://openalex.org/W2999843026","https://openalex.org/W4211007335","https://openalex.org/W4245349101","https://openalex.org/W4251395411","https://openalex.org/W4285719527","https://openalex.org/W6632440936"],"related_works":["https://openalex.org/W2044503422","https://openalex.org/W3026512908","https://openalex.org/W2118735566","https://openalex.org/W2277498419","https://openalex.org/W1514997431","https://openalex.org/W3105235590","https://openalex.org/W1510121260","https://openalex.org/W1870419269","https://openalex.org/W1990708766","https://openalex.org/W2204233742"],"abstract_inverted_index":null,"counts_by_year":[],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}