Description logics of minimal knowledge and negation as failure
ACM Transactions on Computational Logic (TOCL)
Information Retrieval
Automatic Ontology-Based Knowledge Extraction from Web Documents
IEEE Intelligent Systems
MnM: Ontology Driven Semi-automatic and Automatic Support for Semantic Markup
EKAW '02 Proceedings of the 13th International Conference on Knowledge Engineering and Knowledge Management. Ontologies and the Semantic Web
Bootstrapping an ontology-based information extraction system
Intelligent exploration of the web
Towards the self-annotating web
Proceedings of the 13th international conference on World Wide Web
Survey of semantic annotation platforms
Proceedings of the 2005 ACM symposium on Applied computing
Using predicate-argument structures for information extraction
ACL '03 Proceedings of the 41st Annual Meeting on Association for Computational Linguistics - Volume 1
Document annotation and ontology population from linguistic extractions
Proceedings of the 3rd international conference on Knowledge capture
Unsupervised named-entity extraction from the web: an experimental study
Artificial Intelligence
A faithful integration of description logics with logic programming
IJCAI'07 Proceedings of the 20th international joint conference on Artifical intelligence
Building data warehouses with semantic web data
Decision Support Systems
Storing and analysing voice of the market data in the corporate data warehouse
Information Systems Frontiers
Towards a Protein-Protein Interaction information extraction system: Recognizing named entities
Knowledge-Based Systems
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This paper presents a novel Information Extraction system able to generate complex instances from free text available on the Web. The approach is based on a non-monotonical processing over ontologies, and makes use of entity recognizers and disambiguators in order to adequately extract and combine instances and their relations. Experiments conducted over the archaeology research domain provide encouraging results in both efficiency and efficacy and suggest that the tool is suitable for its application on other similar Semantic Web resources.