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<https://w3id.org/np/RA9oo9RIbNIT1l_5fgHBKvnGhfmLbc0t1wyOWl5EVuGEY> <http://www.nanopub.org/nschema#hasPublicationInfo> <https://w3id.org/np/RA9oo9RIbNIT1l_5fgHBKvnGhfmLbc0t1wyOWl5EVuGEY/pubinfo> <https://w3id.org/np/RA9oo9RIbNIT1l_5fgHBKvnGhfmLbc0t1wyOWl5EVuGEY/Head> .
<https://w3id.org/np/RA9oo9RIbNIT1l_5fgHBKvnGhfmLbc0t1wyOWl5EVuGEY> <http://www.w3.org/1999/02/22-rdf-syntax-ns#type> <http://www.nanopub.org/nschema#Nanopublication> <https://w3id.org/np/RA9oo9RIbNIT1l_5fgHBKvnGhfmLbc0t1wyOWl5EVuGEY/Head> .
<https://datasciencehub.net/paper/data-science-and-symbolic-ai-synergies-challenges-and-opportunities-0> <http://purl.org/dc/terms/abstract> "Symbolic approaches to artificial intelligence represent things within a domain of knowledge through physical symbols, combine symbols into symbol ex- pressions, and manipulate symbols and symbol expressionsNN through inference processes. While a large part of Data Science relies on statistics and applies statisti- cal approaches to artificial intelligence, there is an increasing potential for success- fully applying symbolic approaches as well. Symbolic representations and sym- bolic inference are close to human cognitive representations and therefore compre- hensible and interpretable; they are widely used to represent data and metadata, and their specific semantic content must be taken into account for analysis of such in- formation; and human communication largely relies on symbols, making symbolic representations a crucial part in the analysis of natural language. Here we discuss the role symbolic representations and inference can play in Data Science, high- light the research challenges from the perspective of the data scientist, and argue that symbolic methods should become a crucial component of the data scientists’ toolbox." <https://w3id.org/np/RA9oo9RIbNIT1l_5fgHBKvnGhfmLbc0t1wyOWl5EVuGEY/assertion> .
<https://datasciencehub.net/paper/data-science-and-symbolic-ai-synergies-challenges-and-opportunities-0> <http://purl.org/dc/terms/date> "2017-04-10" <https://w3id.org/np/RA9oo9RIbNIT1l_5fgHBKvnGhfmLbc0t1wyOWl5EVuGEY/assertion> .
<https://datasciencehub.net/paper/data-science-and-symbolic-ai-synergies-challenges-and-opportunities-0> <http://purl.org/dc/terms/title> "Data Science and Symbolic AI: synergies, challenges and opportunities" <https://w3id.org/np/RA9oo9RIbNIT1l_5fgHBKvnGhfmLbc0t1wyOWl5EVuGEY/assertion> .
<https://datasciencehub.net/paper/data-science-and-symbolic-ai-synergies-challenges-and-opportunities-0> <http://www.w3.org/1999/02/22-rdf-syntax-ns#type> <http://purl.org/spar/fabio/PositionPaper> <https://w3id.org/np/RA9oo9RIbNIT1l_5fgHBKvnGhfmLbc0t1wyOWl5EVuGEY/assertion> .
<https://datasciencehub.net/paper/data-science-and-symbolic-ai-synergies-challenges-and-opportunities-0> <http://www.w3.org/1999/02/22-rdf-syntax-ns#type> <http://purl.org/spar/fabio/Preprint> <https://w3id.org/np/RA9oo9RIbNIT1l_5fgHBKvnGhfmLbc0t1wyOWl5EVuGEY/assertion> .
<https://datasciencehub.net/paper/data-science-and-symbolic-ai-synergies-challenges-and-opportunities-0> <https://vocab.org/frbr/core#term-revisionOf> <https://datasciencehub.net/paper/data-science-and-symbolic-ai-synergies-challenges-and-opportunities> <https://w3id.org/np/RA9oo9RIbNIT1l_5fgHBKvnGhfmLbc0t1wyOWl5EVuGEY/assertion> .
<https://orcid.org/0000-0001-8149-5890> <http://schema.org/affiliation> <https://ror.org/01q3tbs38> <https://w3id.org/np/RA9oo9RIbNIT1l_5fgHBKvnGhfmLbc0t1wyOWl5EVuGEY/assertion> .
<https://orcid.org/0000-0001-8149-5890> <http://schema.org/email> "robert.hoehndorf@kaust.edu.sa" <https://w3id.org/np/RA9oo9RIbNIT1l_5fgHBKvnGhfmLbc0t1wyOWl5EVuGEY/assertion> .
<https://orcid.org/0000-0001-8149-5890> <http://xmlns.com/foaf/0.1/name> "Robert Hoehndorf" <https://w3id.org/np/RA9oo9RIbNIT1l_5fgHBKvnGhfmLbc0t1wyOWl5EVuGEY/assertion> .
<https://orcid.org/0000-0003-0169-8159> <http://schema.org/affiliation> <https://ror.org/02dxx6824> <https://w3id.org/np/RA9oo9RIbNIT1l_5fgHBKvnGhfmLbc0t1wyOWl5EVuGEY/assertion> .
<https://orcid.org/0000-0003-0169-8159> <http://xmlns.com/foaf/0.1/name> "Núria Queralt-Rosinach" <https://w3id.org/np/RA9oo9RIbNIT1l_5fgHBKvnGhfmLbc0t1wyOWl5EVuGEY/assertion> .
<https://ror.org/01q3tbs38> <http://xmlns.com/foaf/0.1/name> "Computational Bioscience Research Center, King Abdullah University of Science and Technology, Thuwal, Saudi Arabia. Computer, Electrical and Mathematical Sciences & Engineering Division, King Abdullah University of Science and Technology, Thuwal, Saudi Arabia" <https://w3id.org/np/RA9oo9RIbNIT1l_5fgHBKvnGhfmLbc0t1wyOWl5EVuGEY/assertion> .
<https://ror.org/02dxx6824> <http://xmlns.com/foaf/0.1/name> "Department of Integrative Structural and Computational Biology, The Scripps Research Institute, La Jolla, USA" <https://w3id.org/np/RA9oo9RIbNIT1l_5fgHBKvnGhfmLbc0t1wyOWl5EVuGEY/assertion> .
<https://w3id.org/np/RA9oo9RIbNIT1l_5fgHBKvnGhfmLbc0t1wyOWl5EVuGEY/author-list> <http://www.w3.org/1999/02/22-rdf-syntax-ns#_1> <https://orcid.org/0000-0001-8149-5890> <https://w3id.org/np/RA9oo9RIbNIT1l_5fgHBKvnGhfmLbc0t1wyOWl5EVuGEY/assertion> .
<https://w3id.org/np/RA9oo9RIbNIT1l_5fgHBKvnGhfmLbc0t1wyOWl5EVuGEY/author-list__1> <http://www.w3.org/1999/02/22-rdf-syntax-ns#_2> <https://orcid.org/0000-0003-0169-8159> <https://w3id.org/np/RA9oo9RIbNIT1l_5fgHBKvnGhfmLbc0t1wyOWl5EVuGEY/assertion> .
<https://w3id.org/np/RA9oo9RIbNIT1l_5fgHBKvnGhfmLbc0t1wyOWl5EVuGEY/assertion> <http://www.w3.org/ns/prov#wasAttributedTo> <https://orcid.org/0000-0001-8149-5890> <https://w3id.org/np/RA9oo9RIbNIT1l_5fgHBKvnGhfmLbc0t1wyOWl5EVuGEY/provenance> .
<https://w3id.org/np/RA9oo9RIbNIT1l_5fgHBKvnGhfmLbc0t1wyOWl5EVuGEY/assertion> <http://www.w3.org/ns/prov#wasAttributedTo> <https://orcid.org/0000-0003-0169-8159> <https://w3id.org/np/RA9oo9RIbNIT1l_5fgHBKvnGhfmLbc0t1wyOWl5EVuGEY/provenance> .
<https://orcid.org/0000-0001-8149-5890> <http://xmlns.com/foaf/0.1/name> "Robert Hoehndorf" <https://w3id.org/np/RA9oo9RIbNIT1l_5fgHBKvnGhfmLbc0t1wyOWl5EVuGEY/pubinfo> .
<https://orcid.org/0000-0002-1267-0234> <http://xmlns.com/foaf/0.1/name> "Tobias Kuhn" <https://w3id.org/np/RA9oo9RIbNIT1l_5fgHBKvnGhfmLbc0t1wyOWl5EVuGEY/pubinfo> .
<https://orcid.org/0000-0003-0169-8159> <http://xmlns.com/foaf/0.1/name> "Núria Queralt-Rosinach" <https://w3id.org/np/RA9oo9RIbNIT1l_5fgHBKvnGhfmLbc0t1wyOWl5EVuGEY/pubinfo> .
<https://w3id.org/np/RA9oo9RIbNIT1l_5fgHBKvnGhfmLbc0t1wyOWl5EVuGEY> <http://purl.org/dc/terms/created> "2025-05-26T10:11:16.457Z"^^<http://www.w3.org/2001/XMLSchema#dateTime> <https://w3id.org/np/RA9oo9RIbNIT1l_5fgHBKvnGhfmLbc0t1wyOWl5EVuGEY/pubinfo> .
<https://w3id.org/np/RA9oo9RIbNIT1l_5fgHBKvnGhfmLbc0t1wyOWl5EVuGEY> <http://purl.org/dc/terms/creator> <https://orcid.org/0000-0002-1267-0234> <https://w3id.org/np/RA9oo9RIbNIT1l_5fgHBKvnGhfmLbc0t1wyOWl5EVuGEY/pubinfo> .
<https://w3id.org/np/RA9oo9RIbNIT1l_5fgHBKvnGhfmLbc0t1wyOWl5EVuGEY> <http://purl.org/dc/terms/license> <https://creativecommons.org/licenses/by/4.0/> <https://w3id.org/np/RA9oo9RIbNIT1l_5fgHBKvnGhfmLbc0t1wyOWl5EVuGEY/pubinfo> .
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<https://w3id.org/np/RA9oo9RIbNIT1l_5fgHBKvnGhfmLbc0t1wyOWl5EVuGEY> <http://purl.org/nanopub/x/introduces> <https://datasciencehub.net/paper/data-science-and-symbolic-ai-synergies-challenges-and-opportunities-0> <https://w3id.org/np/RA9oo9RIbNIT1l_5fgHBKvnGhfmLbc0t1wyOWl5EVuGEY/pubinfo> .
<https://w3id.org/np/RA9oo9RIbNIT1l_5fgHBKvnGhfmLbc0t1wyOWl5EVuGEY> <http://purl.org/nanopub/x/wasCreatedAt> <https://nanodash.knowledgepixels.com/> <https://w3id.org/np/RA9oo9RIbNIT1l_5fgHBKvnGhfmLbc0t1wyOWl5EVuGEY/pubinfo> .
<https://w3id.org/np/RA9oo9RIbNIT1l_5fgHBKvnGhfmLbc0t1wyOWl5EVuGEY> <http://purl.org/ontology/bibo/authorList> <https://w3id.org/np/RA9oo9RIbNIT1l_5fgHBKvnGhfmLbc0t1wyOWl5EVuGEY/author-list> <https://w3id.org/np/RA9oo9RIbNIT1l_5fgHBKvnGhfmLbc0t1wyOWl5EVuGEY/pubinfo> .
<https://w3id.org/np/RA9oo9RIbNIT1l_5fgHBKvnGhfmLbc0t1wyOWl5EVuGEY> <http://www.w3.org/2000/01/rdf-schema#label> "Preprint: Data Science and Symbolic AI: synergies, challenges and opportunities" <https://w3id.org/np/RA9oo9RIbNIT1l_5fgHBKvnGhfmLbc0t1wyOWl5EVuGEY/pubinfo> .
<https://w3id.org/np/RA9oo9RIbNIT1l_5fgHBKvnGhfmLbc0t1wyOWl5EVuGEY> <https://w3id.org/np/o/ntemplate/wasCreatedFromProvenanceTemplate> <https://w3id.org/np/RAekcN47h13fk6ZK4XiObgGgk-qB01sLOjyGyhMCq_jT4> <https://w3id.org/np/RA9oo9RIbNIT1l_5fgHBKvnGhfmLbc0t1wyOWl5EVuGEY/pubinfo> .
<https://w3id.org/np/RA9oo9RIbNIT1l_5fgHBKvnGhfmLbc0t1wyOWl5EVuGEY> <https://w3id.org/np/o/ntemplate/wasCreatedFromPubinfoTemplate> <https://w3id.org/np/RA0J4vUn_dekg-U1kK3AOEt02p9mT2WO03uGxLDec1jLw> <https://w3id.org/np/RA9oo9RIbNIT1l_5fgHBKvnGhfmLbc0t1wyOWl5EVuGEY/pubinfo> .
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<https://w3id.org/np/RA9oo9RIbNIT1l_5fgHBKvnGhfmLbc0t1wyOWl5EVuGEY> <https://w3id.org/np/o/ntemplate/wasCreatedFromPubinfoTemplate> <https://w3id.org/np/RAYrlN4s93vVe9LGI-gmPLTb-QZGHKd0mxx8VxJ3XVhuw> <https://w3id.org/np/RA9oo9RIbNIT1l_5fgHBKvnGhfmLbc0t1wyOWl5EVuGEY/pubinfo> .
<https://w3id.org/np/RA9oo9RIbNIT1l_5fgHBKvnGhfmLbc0t1wyOWl5EVuGEY> <https://w3id.org/np/o/ntemplate/wasCreatedFromPubinfoTemplate> <https://w3id.org/np/RAukAcWHRDlkqxk7H2XNSegc1WnHI569INvNr-xdptDGI> <https://w3id.org/np/RA9oo9RIbNIT1l_5fgHBKvnGhfmLbc0t1wyOWl5EVuGEY/pubinfo> .
<https://w3id.org/np/RA9oo9RIbNIT1l_5fgHBKvnGhfmLbc0t1wyOWl5EVuGEY> <https://w3id.org/np/o/ntemplate/wasCreatedFromTemplate> <https://w3id.org/np/RAoPQDgI37NCPA3ZmqIMiSLJPf-WHXVHN_fyq1EYl1pAk> <https://w3id.org/np/RA9oo9RIbNIT1l_5fgHBKvnGhfmLbc0t1wyOWl5EVuGEY/pubinfo> .
<https://w3id.org/np/RA9oo9RIbNIT1l_5fgHBKvnGhfmLbc0t1wyOWl5EVuGEY/author-list> <http://www.w3.org/1999/02/22-rdf-syntax-ns#_1> <https://orcid.org/0000-0001-8149-5890> <https://w3id.org/np/RA9oo9RIbNIT1l_5fgHBKvnGhfmLbc0t1wyOWl5EVuGEY/pubinfo> .
<https://w3id.org/np/RA9oo9RIbNIT1l_5fgHBKvnGhfmLbc0t1wyOWl5EVuGEY/author-list> <http://www.w3.org/1999/02/22-rdf-syntax-ns#_2> <https://orcid.org/0000-0003-0169-8159> <https://w3id.org/np/RA9oo9RIbNIT1l_5fgHBKvnGhfmLbc0t1wyOWl5EVuGEY/pubinfo> .
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