Ontology Learning for the Semantic Web
Ontology Learning for the Semantic Web
Automatic labeling of semantic roles
Computational Linguistics
Semantic taxonomy induction from heterogenous evidence
ACL-44 Proceedings of the 21st International Conference on Computational Linguistics and the 44th annual meeting of the Association for Computational Linguistics
Weblogs as a source for extracting general world knowledge
Proceedings of the fifth international conference on Knowledge capture
Scaling textual inference to the web
EMNLP '08 Proceedings of the Conference on Empirical Methods in Natural Language Processing
Unsupervised methods for determining object and relation synonyms on the web
Journal of Artificial Intelligence Research
Open information extraction from the web
IJCAI'07 Proceedings of the 20th international joint conference on Artifical intelligence
Open knowledge extraction through compositional language processing
STEP '08 Proceedings of the 2008 Conference on Semantics in Text Processing
A metric-based framework for automatic taxonomy induction
ACL '09 Proceedings of the Joint Conference of the 47th Annual Meeting of the ACL and the 4th International Joint Conference on Natural Language Processing of the AFNLP: Volume 1 - Volume 1
EMNLP '09 Proceedings of the 2009 Conference on Empirical Methods in Natural Language Processing: Volume 1 - Volume 1
Open information extraction using Wikipedia
ACL '10 Proceedings of the 48th Annual Meeting of the Association for Computational Linguistics
Unsupervised ontology induction from text
ACL '10 Proceedings of the 48th Annual Meeting of the Association for Computational Linguistics
Learning word-class lattices for definition and hypernym extraction
ACL '10 Proceedings of the 48th Annual Meeting of the Association for Computational Linguistics
A semi-supervised method to learn and construct taxonomies using the web
EMNLP '10 Proceedings of the 2010 Conference on Empirical Methods in Natural Language Processing
Scalable knowledge harvesting with high precision and high recall
Proceedings of the fourth ACM international conference on Web search and data mining
An analysis of open information extraction based on semantic role labeling
Proceedings of the sixth international conference on Knowledge capture
WebPIE: A Web-scale Parallel Inference Engine using MapReduce
Web Semantics: Science, Services and Agents on the World Wide Web
Identifying relations for open information extraction
EMNLP '11 Proceedings of the Conference on Empirical Methods in Natural Language Processing
Open information extraction: the second generation
IJCAI'11 Proceedings of the Twenty-Second international joint conference on Artificial Intelligence - Volume Volume One
A graph-based algorithm for inducing lexical taxonomies from scratch
IJCAI'11 Proceedings of the Twenty-Second international joint conference on Artificial Intelligence - Volume Volume Three
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Though ontologies are considered central to foster the Semantic Web effort, their practical application on a Web scale is limited by the difficulty of building and maintaining high-coverage ontologies, for any of the almost unbounded number of social and technical domains mirrored on the Web. In this paper we present Open Knowledge Extraction (Open KE), a novel paradigm that creates a bridge between information retrieval, taxonomy learning and automated reasoning. Open KE builds on recently published algorithms for Open Information Extraction (Open IE) and automated taxonomy learning, which were shown able to extract information on a Web scale basis in an unsupervised manner. The key idea of Open KE is to generalize Open IE's lexicalized extractions with an automatically learned taxonomy. Lexicalized extractions are transformed in logic predicates, and used to populate a Semantic Model. An inference engine is then used to perform inductions and deductions. In this paper we describe the knowledge extraction workflow in its entirety, and apply it to a large-scale experiment in the domains of Artificial Intelligence and Virology.