Ontology Learning for the Semantic Web
IEEE Intelligent Systems
Ontology Learning and Population from Text: Algorithms, Evaluation and Applications
Ontology Learning and Population from Text: Algorithms, Evaluation and Applications
Enabling experts to build knowledge bases from science textbooks
Proceedings of the 4th international conference on Knowledge capture
Frame Detection over the Semantic Web
ESWC 2009 Heraklion Proceedings of the 6th European Semantic Web Conference on The Semantic Web: Research and Applications
Weakly Supervised Approaches for Ontology Population
Proceedings of the 2008 conference on Ontology Learning and Population: Bridging the Gap between Text and Knowledge
SemEval'07 task 19: frame semantic structure extraction
SemEval '07 Proceedings of the 4th International Workshop on Semantic Evaluations
Wide-coverage semantic analysis with Boxer
STEP '08 Proceedings of the 2008 Conference on Semantics in Text Processing
OntoCase-Automatic Ontology Enrichment Based on Ontology Design Patterns
ISWC '09 Proceedings of the 8th International Semantic Web Conference
Probabilistic frame-semantic parsing
HLT '10 Human Language Technologies: The 2010 Annual Conference of the North American Chapter of the Association for Computational Linguistics
Experimenting with eXtreme design
EKAW'10 Proceedings of the 17th international conference on Knowledge engineering and management by the masses
Linked Data
Gathering lexical linked data and knowledge patterns from FrameNet
Proceedings of the sixth international conference on Knowledge capture
Ontology population and enrichment: state of the art
Knowledge-driven multimedia information extraction and ontology evolution
Semi-supervised frame-semantic parsing for unknown predicates
HLT '11 Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies - Volume 1
LODifier: generating linked data from unstructured text
ESWC'12 Proceedings of the 9th international conference on The Semantic Web: research and applications
Automatic typing of DBpedia entities
ISWC'12 Proceedings of the 11th international conference on The Semantic Web - Volume Part I
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We have implemented a novel approach for robust ontology design from natural language texts by combining Discourse Representation Theory (DRT), linguistic frame semantics, and ontology design patterns. We show that DRT-based frame detection is feasible by conducting a comparative evaluation of our approach and existing tools. Furthermore, we define a mapping between DRT and RDF/OWL for the production of quality linked data and ontologies, and present FRED, an online tool for converting text into internally well-connected and linked-data-ready ontologies in web-service-acceptable time.