Natural Languages and Ontology Learning
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This is a one-hour video recording of the presentation of Roberto Basili at the KnowledgeWeb summer school 2005. It comprises either the video synchronized with the slides (but requires Quicktime, hence Windows or MacOS, otherwise the slides have to be switched manually).
Table of Contents:
Natural Language and Ontology Learning some perspectives for SW applications Overview Preliminaries The ART framework Motivations Overview SW Services Ontologies in the SW Description Logics and Ontologies NLS vs. SW reasoning - motivating example The Ontology and The Lexicon Conceptual vs. Linguistic Information Natural Language Learning for the SW Frame Semantics FrameNet and Ontology Languages Lexical vs. Conceptual Learning An Integrated Learning Framework for Ontology Engineering A Solution The Ontology Model Ontology modeling The Ontology model at work LKB vs. DCH mapping DCH: Conceptual relations LKB: verbal predicates Mapping VP to Semantic Relations Ontology Engineering: an architecture Enabling Technologies The FF-Poirot The FF-Poirot Consortium Ontology-driven Web Mining The FF-Poirot challanges Semantic Modeling World Model Uses of the Ontological Model Ontology-driven Mining Ontology-driven Retrieval FF Poirot: the CONSOB use case A second Example Overview Conclusions Open Problems
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