Putting Things in Context: A Topological Approach to Mapping Contexts to Ontologies
Identifieur interne : 000836 ( Main/Exploration ); précédent : 000835; suivant : 000837Putting Things in Context: A Topological Approach to Mapping Contexts to Ontologies
Auteurs : Aviv Segev [Israël] ; Avigdor Gal [Israël]Source :
- Lecture Notes in Computer Science [ 0302-9743 ] ; 2007.
English descriptors
- Teeft :
- Accumulation point, Algorithm, Automatic context extraction, Concept overlap, Context, Context extraction, Context extraction algorithm, Context recognition algorithm, Context representation, Current context, Data items, Data sets, Data size, Data traces, Database, Datum, Descriptor, Descriptor sets, Different descriptor sets, Email, Email messages, Empirical analysis, Experiment results, False negatives, False positives, Horizontal axis displays, International conference, Internet, Knowledge base, Knowledge extraction, Knowledge representation, Local government, Local governments, Local views, Manual effort, Mapping contexts, Modeling, Morphological variants, Multiple contexts, Musik, Ontological relationships, Ontology, Ontology concept, Ontology concepts, Opinion analysis, Overlap, Possible concepts, Possible contexts, Public agenda, Qualeg, Qualeg architecture, Qualeg project, Relevant documents, Reuters, Reuters data, Segev, Single concept, Single context, Subset, Taxonomy, Topological, Topological maps, Topology.
Abstract
Abstract: Ontologies and contexts are complementary disciplines for modeling views. In the area of information integration, ontologies may be viewed as the outcome of a manual effort to model a domain, while contexts are system generated models. In this work, we provide a formal mathematical framework that delineates the relationship between contexts and ontologies. We then use the model to handle the uncertainty associated with automatic context extraction from existing documents by providing a ranking method, which ranks ontology concepts according to their suitability to a given context. Throughout this work we motivate our research using QUALEG, a European IST project that aims providing local governments with an effective tool for bi-directional communication with citizens. We empirically evaluate our model using two real-world data sets, coming from Reuters and news RSS. Our empirical analysis shows that the input needed to accurately define a concept by a context is small, and the classification of documents to concepts is accurate.
Url:
DOI: 10.1007/978-3-540-74987-5_4
Affiliations:
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In the area of information integration, ontologies may be viewed as the outcome of a manual effort to model a domain, while contexts are system generated models. In this work, we provide a formal mathematical framework that delineates the relationship between contexts and ontologies. We then use the model to handle the uncertainty associated with automatic context extraction from existing documents by providing a ranking method, which ranks ontology concepts according to their suitability to a given context. Throughout this work we motivate our research using QUALEG, a European IST project that aims providing local governments with an effective tool for bi-directional communication with citizens. We empirically evaluate our model using two real-world data sets, coming from Reuters and news RSS. Our empirical analysis shows that the input needed to accurately define a concept by a context is small, and the classification of documents to concepts is accurate.</div></front></TEI><affiliations><list><country><li>Israël</li></country></list><tree><country name="Israël"><noRegion><name sortKey="Segev, Aviv" sort="Segev, Aviv" uniqKey="Segev A" first="Aviv" last="Segev">Aviv Segev</name></noRegion><name sortKey="Gal, Avigdor" sort="Gal, Avigdor" uniqKey="Gal A" first="Avigdor" last="Gal">Avigdor Gal</name><name sortKey="Gal, Avigdor" sort="Gal, Avigdor" uniqKey="Gal A" first="Avigdor" last="Gal">Avigdor Gal</name><name sortKey="Segev, Aviv" sort="Segev, Aviv" uniqKey="Segev A" first="Aviv" last="Segev">Aviv Segev</name></country></tree></affiliations></record>Pour manipuler ce document sous Unix (Dilib)
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