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- paper-61 type InProceedings.
- paper-61 label "A Machine Reader for the Semantic Web".
- paper-61 sameAs paper-61.
- paper-61 abstract "FRED is a machine reading tool for converting text into internally well-connected and quality linked-data-ready ontologies in web-service-acceptable time. It implements a novel approach for ontology design from natural language sentences, combining Discourse Representation Theory (DRT), linguistic frame semantics, and Ontology Design Patterns (ODP). The tool is based on Boxer which implements a DRT-compliant deep parser. The logical output of Boxer is enriched with semantic data from VerbNet (or FrameNet) frames and transformed into RDF/OWL by means of a mapping model and a set of heuristics following best practices of OWL ontologies and RDF data design. The current version of the tool includes Earmark-based markup, and enrichment with WSD and NER off-the-shelf components.".
- paper-61 hasAuthorList authorList.
- paper-61 isPartOf poster-demo-proceedings.
- paper-61 title "A Machine Reader for the Semantic Web".