COLING '98 Proceedings of the 17th international conference on Computational linguistics - Volume 1
Verbnet: a broad-coverage, comprehensive verb lexicon
Verbnet: a broad-coverage, comprehensive verb lexicon
Putting FrameNet data into the ISO linguistic annotation framework
LingAnnot ;03 Proceedings of the ACL 2003 workshop on Linguistic annotation: getting the model right - Volume 19
Frame Detection over the Semantic Web
ESWC 2009 Heraklion Proceedings of the 6th European Semantic Web Conference on The Semantic Web: Research and Applications
Handbook on Ontologies
Semantic scout: making sense of organizational knowledge
EKAW'10 Proceedings of the 17th international conference on Knowledge engineering and management by the masses
Towards a pattern science for the Semantic Web
Semantic Web
Encyclopedic knowledge patterns from wikipedia links
ISWC'11 Proceedings of the 10th international conference on The semantic web - Volume Part I
Proceedings of the 7th International Conference on Semantic Systems
A novel Framenet-based resource for the semantic web
Proceedings of the 27th Annual ACM Symposium on Applied Computing
Reflections on 25+ years of knowledge acquisition
International Journal of Human-Computer Studies
Knowledge extraction based on discourse representation theory and linguistic frames
EKAW'12 Proceedings of the 18th international conference on Knowledge Engineering and Knowledge Management
Knowledge pattern extraction and their usage in exploratory search
ISWC'12 Proceedings of the 11th international conference on The Semantic Web - Volume Part II
An open knowledge base for Italian language in a collaborative perspective
Proceedings of the 1st International Workshop on Collaborative Annotations in Shared Environment: metadata, vocabularies and techniques in the Digital Humanities
Hi-index | 0.00 |
FrameNet is an important lexical knowledge base featuring cognitive plausibility, and grounded in a large corpus. Besides being actively used by the NLP community, frames are a great source of knowledge patterns once converted into a knowledge representation language. In this paper we present our experience in converting the 1.5 XML version of FrameNet into RDF datasets published on the Linked Open Data cloud, which are interoperable with WordNet and other resources. In the conversion we have used Semion, a new tool that allows a rule-based, customized pipeline from XML to RDF and OWL data. In addition, we introduce a method to select and refactor part of the information related to frames as full-fledged OWL knowledge patterns. This last result has required non-trivial assumptions on how to interpret FrameNet relations as formal knowledge.