Commonsense metaphysics and lexical semantics
Computational Linguistics - Special issue of the lexicon
The subworld concept lexicon and the lexicon management system
Computational Linguistics - Special issue of the lexicon
Towards text knowledge engineering
AAAI '98/IAAI '98 Proceedings of the fifteenth national/tenth conference on Artificial intelligence/Innovative applications of artificial intelligence
Foundations of statistical natural language processing
Foundations of statistical natural language processing
An overview of the ONIONS project: applying ontologies to the integration of medical terminologies
Data & Knowledge Engineering - Special issue on formal ontology and conceptual modeling
Developing Reusable and Robust Language Processing Components for Information Systems using GATE
DEXA '02 Proceedings of the 13th International Workshop on Database and Expert Systems Applications
Introduction to the special issue on the web as corpus
Computational Linguistics - Special issue on web as corpus
Overview and analysis of methodologies for building ontologies
The Knowledge Engineering Review
Improving domain ontologies by mining semantics from text
APCCM '04 Proceedings of the first Asian-Pacific conference on Conceptual modelling - Volume 31
Less is more: using a single knowledge representation in dialogue systems
HLT-NAACL-TEXTMEANING '03 Proceedings of the HLT-NAACL 2003 workshop on Text meaning - Volume 9
Feeding OWL: extracting and representing the content of pathology reports
NLPXML '04 Proceeedings of the Workshop on NLP and XML (NLPXML-2004): RDF/RDFS and OWL in Language Technology
Reusing ontologies on the Semantic Web: A feasibility study
Data & Knowledge Engineering
Creating ontologies for content representation: the OntoSeed suite
Journal on data semantics IX
Modeling Contexts with Dependent Types
Fundamenta Informaticae
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Due to the inherent difficulties associated with manual ontology building, knowledge acquisition and reuse are often seen as methods that can make this tedious process easier. In this paper we present an NLP-based method to aid ontology design in a specific setting, namely that of semantic annotation of text. The method uses the World Wide Web in its analysis of the domain-specific documents, eliminating the need for linguistic knowledge and resources, and suggests ways to specify domain ontologies in a “linguistics-friendly” format in order to improve further ontology-based natural language processing tasks such as semantic annotation. We evaluate the method on a corpora in a real-world setting in the medical domain and compare the costs and the benefits of the NLP-based ontology engineering approach against a similar reuse-oriented experiment.