http://purl.org/np/RAxdRy_wWAO5Qrz4-r0MfYPjUMXZL2Bq-CAusJvJeA4_w#Head http://purl.org/np/RAxdRy_wWAO5Qrz4-r0MfYPjUMXZL2Bq-CAusJvJeA4_w http://www.nanopub.org/nschema#hasAssertion http://purl.org/np/RAxdRy_wWAO5Qrz4-r0MfYPjUMXZL2Bq-CAusJvJeA4_w#assertion http://purl.org/np/RAxdRy_wWAO5Qrz4-r0MfYPjUMXZL2Bq-CAusJvJeA4_w http://www.nanopub.org/nschema#hasProvenance http://purl.org/np/RAxdRy_wWAO5Qrz4-r0MfYPjUMXZL2Bq-CAusJvJeA4_w#provenance http://purl.org/np/RAxdRy_wWAO5Qrz4-r0MfYPjUMXZL2Bq-CAusJvJeA4_w http://www.nanopub.org/nschema#hasPublicationInfo http://purl.org/np/RAxdRy_wWAO5Qrz4-r0MfYPjUMXZL2Bq-CAusJvJeA4_w#pubinfo http://purl.org/np/RAxdRy_wWAO5Qrz4-r0MfYPjUMXZL2Bq-CAusJvJeA4_w http://www.w3.org/1999/02/22-rdf-syntax-ns#type http://www.nanopub.org/nschema#Nanopublication http://purl.org/np/RAxdRy_wWAO5Qrz4-r0MfYPjUMXZL2Bq-CAusJvJeA4_w#assertion http://purl.org/np/RAxdRy_wWAO5Qrz4-r0MfYPjUMXZL2Bq-CAusJvJeA4_w#paragraph http://purl.org/spar/c4o/hasContent The main research challenge is formulated as a KB population problem: specifically, we tackle how to au- tomatically enrich DBpedia resources with novel state- ments extracted from the text of Wikipedia articles. We conceive the solution as a machine learning task implementing the Frame Semantics linguistic theory [16,17]: we investigate how to recognize meaningful factual parts given a natural language sentence as input. We cast this as a classification activity falling into the su- pervised learning paradigm. Specifically, we focus on the construction of a new extractor, to be integrated into the current DBpedia infrastructure. Frame Semantics will enable the discovery of relations that hold between entities in raw text. Its implementation takes as input a collection of documents from Wikipedia (i.e., the corpus) and outputs a structured dataset composed of machine-readable statements. http://purl.org/np/RAxdRy_wWAO5Qrz4-r0MfYPjUMXZL2Bq-CAusJvJeA4_w#paragraph http://www.w3.org/1999/02/22-rdf-syntax-ns#type http://purl.org/spar/doco/Paragraph http://purl.org/np/RAxdRy_wWAO5Qrz4-r0MfYPjUMXZL2Bq-CAusJvJeA4_w#provenance http://purl.org/np/RAxdRy_wWAO5Qrz4-r0MfYPjUMXZL2Bq-CAusJvJeA4_w#assertion http://www.w3.org/ns/prov#hadPrimarySource http://dx.doi.org/10.3233/SW-170269 http://purl.org/np/RAxdRy_wWAO5Qrz4-r0MfYPjUMXZL2Bq-CAusJvJeA4_w#assertion http://www.w3.org/ns/prov#wasAttributedTo https://orcid.org/0000-0002-5456-7964 http://purl.org/np/RAxdRy_wWAO5Qrz4-r0MfYPjUMXZL2Bq-CAusJvJeA4_w#pubinfo http://purl.org/np/RAxdRy_wWAO5Qrz4-r0MfYPjUMXZL2Bq-CAusJvJeA4_w http://purl.org/dc/terms/created 2019-11-10T12:34:11+01:00 http://purl.org/np/RAxdRy_wWAO5Qrz4-r0MfYPjUMXZL2Bq-CAusJvJeA4_w http://purl.org/pav/createdBy https://orcid.org/0000-0002-7114-6459