{"id":"https://openalex.org/W2972798563","doi":"https://doi.org/10.1007/978-3-030-46147-8_17","title":"LYRICS: A General Interface Layer to Integrate Logic Inference and Deep Learning","display_name":"LYRICS: A General Interface Layer to Integrate Logic Inference and Deep Learning","publication_year":2020,"publication_date":"2020-01-01","ids":{"openalex":"https://openalex.org/W2972798563","doi":"https://doi.org/10.1007/978-3-030-46147-8_17","mag":"2972798563"},"language":"en","primary_location":{"id":"doi:10.1007/978-3-030-46147-8_17","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-030-46147-8_17","pdf_url":null,"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":["arxiv","crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/1903.07534","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5005466305","display_name":"Giuseppe Marra","orcid":"https://orcid.org/0000-0001-5940-9562"},"institutions":[{"id":"https://openalex.org/I102064193","display_name":"University of Siena","ror":"https://ror.org/01tevnk56","country_code":"IT","type":"education","lineage":["https://openalex.org/I102064193"]},{"id":"https://openalex.org/I4210112122","display_name":"Florence (Netherlands)","ror":"https://ror.org/021qg3d64","country_code":"NL","type":"company","lineage":["https://openalex.org/I4210112122"]},{"id":"https://openalex.org/I45084792","display_name":"University of Florence","ror":"https://ror.org/04jr1s763","country_code":"IT","type":"education","lineage":["https://openalex.org/I45084792"]}],"countries":["IT","NL"],"is_corresponding":false,"raw_author_name":"Giuseppe Marra","raw_affiliation_strings":["Department of Information Engineering and Mathematical Sciences, University of Siena, Siena, Italy","Department of Information Engineering, University of Florence, Florence, Italy","Univ of Florence"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Information Engineering and Mathematical Sciences, University of Siena, Siena, Italy","institution_ids":["https://openalex.org/I102064193"]},{"raw_affiliation_string":"Department of Information Engineering, University of Florence, Florence, Italy","institution_ids":["https://openalex.org/I45084792"]},{"raw_affiliation_string":"Univ of Florence","institution_ids":["https://openalex.org/I4210112122"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5058772124","display_name":"Francesco Giannini","orcid":"https://orcid.org/0000-0001-8492-8110"},"institutions":[{"id":"https://openalex.org/I102064193","display_name":"University of Siena","ror":"https://ror.org/01tevnk56","country_code":"IT","type":"education","lineage":["https://openalex.org/I102064193"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Francesco Giannini","raw_affiliation_strings":["Department of Information Engineering and Mathematical Sciences, University of Siena, Siena, Italy","University of Siena"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Information Engineering and Mathematical Sciences, University of Siena, Siena, Italy","institution_ids":["https://openalex.org/I102064193"]},{"raw_affiliation_string":"University of Siena","institution_ids":["https://openalex.org/I102064193"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5109267259","display_name":"Michelangelo Diligenti","orcid":null},"institutions":[{"id":"https://openalex.org/I102064193","display_name":"University of Siena","ror":"https://ror.org/01tevnk56","country_code":"IT","type":"education","lineage":["https://openalex.org/I102064193"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Michelangelo Diligenti","raw_affiliation_strings":["Department of Information Engineering and Mathematical Sciences, University of Siena, Siena, Italy","University of Siena"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Information Engineering and Mathematical Sciences, University of Siena, Siena, Italy","institution_ids":["https://openalex.org/I102064193"]},{"raw_affiliation_string":"University of Siena","institution_ids":["https://openalex.org/I102064193"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5022658803","display_name":"Marco Gori","orcid":"https://orcid.org/0000-0001-6337-5430"},"institutions":[{"id":"https://openalex.org/I102064193","display_name":"University of Siena","ror":"https://ror.org/01tevnk56","country_code":"IT","type":"education","lineage":["https://openalex.org/I102064193"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Marco Gori","raw_affiliation_strings":["Department of Information Engineering and Mathematical Sciences, University of Siena, Siena, Italy","University of Siena"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Information Engineering and Mathematical Sciences, University of Siena, Siena, Italy","institution_ids":["https://openalex.org/I102064193"]},{"raw_affiliation_string":"University of Siena","institution_ids":["https://openalex.org/I102064193"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":5000,"currency":"EUR","value_usd":5392},"apc_paid":null,"fwci":0.575,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.67682941,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"283","last_page":"298"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11273","display_name":"Advanced Graph Neural Networks","score":0.9955999851226807,"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/T11273","display_name":"Advanced Graph Neural Networks","score":0.9955999851226807,"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":0.995199978351593,"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":0.9929999709129333,"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":0.791382908821106},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.7019862532615662},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6695501208305359},{"id":"https://openalex.org/keywords/generality","display_name":"Generality","score":0.6233155131340027},{"id":"https://openalex.org/keywords/lyrics","display_name":"Lyrics","score":0.5495985746383667},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5066081285476685},{"id":"https://openalex.org/keywords/first-order-logic","display_name":"First-order logic","score":0.46902528405189514},{"id":"https://openalex.org/keywords/interface","display_name":"Interface (matter)","score":0.4578820765018463},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4468454420566559},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4419138431549072},{"id":"https://openalex.org/keywords/layer","display_name":"Layer (electronics)","score":0.4184882640838623},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.41707995533943176},{"id":"https://openalex.org/keywords/directed-acyclic-graph","display_name":"Directed acyclic graph","score":0.41320866346359253},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.39672648906707764},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.33072930574417114},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.22227320075035095},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.14293384552001953}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.791382908821106},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.7019862532615662},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6695501208305359},{"id":"https://openalex.org/C2780767217","wikidata":"https://www.wikidata.org/wiki/Q5532421","display_name":"Generality","level":2,"score":0.6233155131340027},{"id":"https://openalex.org/C2776436406","wikidata":"https://www.wikidata.org/wiki/Q602446","display_name":"Lyrics","level":2,"score":0.5495985746383667},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5066081285476685},{"id":"https://openalex.org/C100481476","wikidata":"https://www.wikidata.org/wiki/Q4055684","display_name":"First-order logic","level":2,"score":0.46902528405189514},{"id":"https://openalex.org/C113843644","wikidata":"https://www.wikidata.org/wiki/Q901882","display_name":"Interface (matter)","level":4,"score":0.4578820765018463},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4468454420566559},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4419138431549072},{"id":"https://openalex.org/C2779227376","wikidata":"https://www.wikidata.org/wiki/Q6505497","display_name":"Layer (electronics)","level":2,"score":0.4184882640838623},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.41707995533943176},{"id":"https://openalex.org/C74197172","wikidata":"https://www.wikidata.org/wiki/Q1195339","display_name":"Directed acyclic graph","level":2,"score":0.41320866346359253},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.39672648906707764},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.33072930574417114},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.22227320075035095},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.14293384552001953},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C542102704","wikidata":"https://www.wikidata.org/wiki/Q183257","display_name":"Psychotherapist","level":1,"score":0.0},{"id":"https://openalex.org/C178790620","wikidata":"https://www.wikidata.org/wiki/Q11351","display_name":"Organic chemistry","level":1,"score":0.0},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.0},{"id":"https://openalex.org/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"score":0.0},{"id":"https://openalex.org/C157915830","wikidata":"https://www.wikidata.org/wiki/Q2928001","display_name":"Bubble","level":2,"score":0.0},{"id":"https://openalex.org/C129307140","wikidata":"https://www.wikidata.org/wiki/Q6795880","display_name":"Maximum bubble pressure method","level":3,"score":0.0},{"id":"https://openalex.org/C124952713","wikidata":"https://www.wikidata.org/wiki/Q8242","display_name":"Literature","level":1,"score":0.0},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0}],"mesh":[],"locations_count":6,"locations":[{"id":"doi:10.1007/978-3-030-46147-8_17","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-030-46147-8_17","pdf_url":null,"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:arXiv.org:1903.07534","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1903.07534","pdf_url":"https://arxiv.org/pdf/1903.07534","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"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"},{"id":"mag:2972798563","is_oa":true,"landing_page_url":"https://ui.adsabs.harvard.edu/abs/2019arXiv190307534M/abstract","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"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":"arXiv (Cornell University)","raw_type":null},{"id":"pmh:oai:arpi.unipi.it:11568/1347037","is_oa":false,"landing_page_url":"https://hdl.handle.net/11568/1347037","pdf_url":null,"source":{"id":"https://openalex.org/S4377196265","display_name":"CINECA IRIS Institutial research information system (University of Pisa)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I108290504","host_organization_name":"University of Pisa","host_organization_lineage":["https://openalex.org/I108290504"],"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":"info:eu-repo/semantics/conferenceObject"},{"id":"pmh:oai:ricerca.sns.it:11384/150588","is_oa":false,"landing_page_url":"https://hdl.handle.net/11384/150588","pdf_url":null,"source":{"id":"https://openalex.org/S7407050981","display_name":"Scuola Normale Superiore di Pisa","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"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":"info:eu-repo/semantics/conferenceObject"},{"id":"doi:10.48550/arxiv.1903.07534","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.1903.07534","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"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":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:1903.07534","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1903.07534","pdf_url":"https://arxiv.org/pdf/1903.07534","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"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":[{"score":0.6399999856948853,"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":31,"referenced_works":["https://openalex.org/W92973652","https://openalex.org/W1835243625","https://openalex.org/W1908728294","https://openalex.org/W1940872118","https://openalex.org/W1974828628","https://openalex.org/W1977970897","https://openalex.org/W1987902506","https://openalex.org/W1997196510","https://openalex.org/W2048919592","https://openalex.org/W2098921539","https://openalex.org/W2110182592","https://openalex.org/W2121250409","https://openalex.org/W2153959628","https://openalex.org/W2158899491","https://openalex.org/W2201744460","https://openalex.org/W2296268288","https://openalex.org/W2311110368","https://openalex.org/W2402144811","https://openalex.org/W2407673450","https://openalex.org/W2460053120","https://openalex.org/W2547729384","https://openalex.org/W2886231181","https://openalex.org/W2888491130","https://openalex.org/W2962937106","https://openalex.org/W2963290083","https://openalex.org/W2963565598","https://openalex.org/W2963687836","https://openalex.org/W6600654476","https://openalex.org/W6608552508","https://openalex.org/W6629826172","https://openalex.org/W6713134421"],"related_works":["https://openalex.org/W1819675375","https://openalex.org/W1700909","https://openalex.org/W1162952032","https://openalex.org/W2594926531","https://openalex.org/W2018210638","https://openalex.org/W2259493787","https://openalex.org/W2571879094","https://openalex.org/W2137586949","https://openalex.org/W2110721658","https://openalex.org/W2406003067","https://openalex.org/W47227379","https://openalex.org/W202288218","https://openalex.org/W2757837646","https://openalex.org/W3105588714","https://openalex.org/W2170766984","https://openalex.org/W63076690","https://openalex.org/W2999090030","https://openalex.org/W3129588259","https://openalex.org/W2953432230","https://openalex.org/W2265087217"],"abstract_inverted_index":null,"counts_by_year":[{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":2}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
