Existence assumptions in knowledge representation
Artificial Intelligence - Special issue on knowledge representation
Toward principles for the design of ontologies used for knowledge sharing
International Journal of Human-Computer Studies - Special issue: the role of formal ontology in the information technology
Electric words: dictionaries, computers, and meanings
Electric words: dictionaries, computers, and meanings
Approximating an interlingua in a principled way
HLT '91 Proceedings of the workshop on Speech and Natural Language
An intelligent search agent system for semantic information retrieval on the internet
WIDM '03 Proceedings of the 5th ACM international workshop on Web information and data management
An ontology engineering methodology for DOGMA
Applied Ontology - Ontological Foundations of Conceptual Modelling
A semantic web-based approach for personalizing news
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Using pseudo feedback to improve cross-lingual ontology mapping
ESWC'11 Proceedings of the 8th extended semantic web conference on The semantic web: research and applications - Volume Part I
From folksologies to ontologies: how the twain meet
ODBASE'06/OTM'06 Proceedings of the 2006 Confederated international conference on On the Move to Meaningful Internet Systems: CoopIS, DOA, GADA, and ODBASE - Volume Part I
Enhancing the business analysis function with semantics
ODBASE'06/OTM'06 Proceedings of the 2006 Confederated international conference on On the Move to Meaningful Internet Systems: CoopIS, DOA, GADA, and ODBASE - Volume Part I
Formal representation of tissue geometric features by DOGMA ontology
3DPH'09 Proceedings of the 2009 international conference on Modelling the Physiological Human
An ontology engineering methodology for DOGMA
Applied Ontology - Ontological Foundations of Conceptual Modelling
A configurable translation-based cross-lingual ontology mapping system to adjust mapping outcomes
Web Semantics: Science, Services and Agents on the World Wide Web
Semantics-based information extraction for detecting economic events
Multimedia Tools and Applications
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Ontological semantics is a theory of meaning in natural languageand an approach to natural language processing (NLP) which uses anontology as the central resource for extracting and representingmeaning of natural language texts, reasoning about knowledgederived from texts as well as generating natural language textsbased on representations of their meaning. Ontological semanticsdirectly supports such applications as machine translation ofnatural languages, information extraction, text summarization,question answering, advice giving, collaborative work of networksof human and software agents, etc. Ontological semantics paysserious attention to its theoretical foundations by explicating itspremises; therefore, formal ontology and its relations withontological semantics are important. Besides a general briefdiscussion of these relations, the paper focuses on the importanttheoretical and practical issue of the distinction between ontologyand natural language. It is argued that this crucial distinctionlies not in the (inaccurately) presumed nonambiguity of the one andthe well-established ambiguity of the other but rather in theconstructed and overtly defined nature of ontological concepts andlabels on which no human background knowledge can operateunintentionally to introduce ambiguity, as opposed to pervasiveuncontrolled and uncontrollable ambiguity in natural language. Theemphasis on this distinction, we argue, will provide bettertheoretical support for the central tenets of formal ontology byfreeing it from the Wittgensteinian and Rortyan retreats from theanalytical paradigm; it also reinforces the methodology of NLP bymaintaining a productive demarcation between thelanguage-independent nature of ontology and language-specificnature of the lexicons, a demarcation that has paid off well inconsecutive implementations of ontological semantics and theirapplications in practical computer systems.