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Uncertainty Management in Information Systems: From Needs to Solutions
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Formal Concept Analysis: Mathematical Foundations
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Verbs semantics and lexical selection
ACL '94 Proceedings of the 32nd annual meeting on Association for Computational Linguistics
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COLING '92 Proceedings of the 14th conference on Computational linguistics - Volume 2
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ACL '99 Proceedings of the 37th annual meeting of the Association for Computational Linguistics on Computational Linguistics
Automatic construction of a hypernym-labeled noun hierarchy from text
ACL '99 Proceedings of the 37th annual meeting of the Association for Computational Linguistics on Computational Linguistics
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Unsupervised Learning of Semantic Relations for Molecular Biology Ontologies
Proceedings of the 2008 conference on Ontology Learning and Population: Bridging the Gap between Text and Knowledge
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Journal of Artificial Intelligence Research
Reducing OWL entailment to description logic satisfiability
Web Semantics: Science, Services and Agents on the World Wide Web
A framework for handling inconsistency in changing ontologies
ISWC'05 Proceedings of the 4th international conference on The Semantic Web
RelExt: a tool for relation extraction from text in ontology extension
ISWC'05 Proceedings of the 4th international conference on The Semantic Web
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ISWC'05 Proceedings of the 4th international conference on The Semantic Web
Text2Onto: a framework for ontology learning and data-driven change discovery
NLDB'05 Proceedings of the 10th international conference on Natural Language Processing and Information Systems
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Towards Machine Learning on the Semantic Web
Uncertainty Reasoning for the Semantic Web I
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OntoCase-Automatic Ontology Enrichment Based on Ontology Design Patterns
ISWC '09 Proceedings of the 8th International Semantic Web Conference
Discovery of relation axioms from the web
KSEM'10 Proceedings of the 4th international conference on Knowledge science, engineering and management
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ISWC'10 Proceedings of the 9th international semantic web conference on The semantic web - Volume Part II
Towards open ontology learning and filtering
Information Systems
Learning relation axioms from text: An automatic Web-based approach
Expert Systems with Applications: An International Journal
Combining information extraction, deductive reasoning and machine learning for relation prediction
ESWC'12 Proceedings of the 9th international conference on The Semantic Web: research and applications
Journal of Web Engineering
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The automatic extraction of ontologies from text and lexical resources has become more and more mature. Nowadays, the results of state-of-the-art ontology learning methods are already good enough for many practical applications. However, most of them aim at generating rather inexpressive ontologies, i.e. bare taxonomies and relationships, whereas many reasoning-based applications in domains such as bioinformatics or medicine rely on much more complex axiomatizations. Those are extremely expensive if built by purely manual efforts, and methods for the automatic or semi-automatic construction of expressive ontologies could help to overcome the knowledge acquisition bottleneck. At the same time, a tight integration with ontology evaluation and debugging approaches is required to reduce the amount of manual post-processing which becomes harder the more complex learned ontologies are. Particularly, the treatment of logical inconsistencies, mostly neglected by existing ontology learning frameworks, becomes a great challenge as soon as we start to learn huge and expressive axiomatizations. In this chapter we present several approaches for the automatic generation of expressive ontologies along with a detailed discussion of the key problems and challenges in learning complex OWL ontologies. We also suggest ways to handle different types of inconsistencies in learned ontologies, and conclude with a visionary outlook to future ontology learning and engineering environments.