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- 265 creator bernardo-cuenca-grau.
- 265 creator ernesto-jimenez-ruiz.
- 265 creator rafael-berlanga-llavori.
- 265 creator thomas-schneider.
- 265 creator ulrike-sattler.
- 265 type InProceedings.
- 265 label "Safe and Economic re-use of ontologies: a logic-based methodology and tool support".
- 265 sameAs 265.
- 265 abstract "Driven by application requirements and using well-understood theoretical results, we describe a novel methodology and a tool for modular ontology design. We support the user in the safe use of imported symbols and in the economic import of the relevant part of the imported ontology. Both features are supported in a well-understood way: safety guarantees that the semantics of imported concepts is not changed, and economic import guarantees that no difference can be observed between importing the whole ontology and importing the relevant part.".
- 265 hasAuthorList authorList.
- 265 hasTopic Data_integration.
- 265 hasTopic Ontology_%28computer_science%29.
- 265 hasTopic Semantic_Web.
- 265 hasTopic User_interface.
- 265 hasTopic Web_Ontology_Language.
- 265 isPartOf proceedings.
- 265 keyword "conservative extensions".
- 265 keyword "locality".
- 265 keyword "modularity".
- 265 keyword "ontology reuse".
- 265 keyword "safety".
- 265 title "Safe and Economic re-use of ontologies: a logic-based methodology and tool support".
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- item-1 hasContent ernesto-jimenez-ruiz.
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- 273 creator claudia-damato.
- 273 creator floriana-esposito.
- 273 creator nicola-fanizzi.
- 273 type InProceedings.
- 273 label "Conceptual Clustering and its Application to Concept Drift and Novelty Detection".
- 273 sameAs 273.
- 273 abstract "We present a method based on clustering techniques to detect concept drift or novelty in a knowledge based expressed in Description Logics. The method exploits an effective and language-independent semi-distance measure defined for the space of individuals, that is based on a finite number of dimensions corresponding to a committee of discriminating features (represented by concept descriptions). A maximally discriminating group of features can be obtained with the randomized optimization methods described in the paper. An experimentation with some ontologies proves the feasibility of our method and its effectiveness in terms of clustering validity indices. Then, with a supervised learning phase, each cluster can be assigned with a refined or newly constructed intensional definition expressed in the adopted language. We propose a method for exploiting the clustering results for concept drift and novelty detection".
- 273 hasAuthorList authorList.
- 273 hasTopic Machine_learning.
- 273 hasTopic Ontology_%28computer_science%29.
- 273 hasTopic Semantic_Web.
- 273 hasTopic Web_Ontology_Language.
- 273 isPartOf proceedings.
- 273 keyword "concept drift".
- 273 keyword "conceptual clustering".
- 273 keyword "novelty setection".
- 273 keyword "semantic similarity".
- 273 title "Conceptual Clustering and its Application to Concept Drift and Novelty Detection".
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- item-1 hasContent nicola-fanizzi.
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- 281 creator dieter-fensel.
- 281 creator jacek-kopecky.
- 281 creator jana-viskova.
- 281 creator tomas-vitvar.
- 281 type InProceedings.
- 281 label "WSMO-Lite Annotations for Web Services".
- 281 sameAs 281.
- 281 abstract "Current efforts in Semantic Web Services do not sufficiently address the industrial developments of SOA technology in regards to bottom-up modeling of services, that is, building incremental layers on top of existing service descriptions. An important step in this direction has been made in the W3C by the SAWSDL WG proposing a framework for annotating WSDL services with arbitrary semantic descriptions. We build on the SAWSDL layer and define WSMO-Lite service ontology, narrowing down the use of SAWSDL as an annotation mechanism for WSMO-Lite. Ultimately, our goal is to allow incremental steps on top of existing service descriptions, enhancing existing SOA capabilities with intelligent and automated integration.".
- 281 hasAuthorList authorList.
- 281 hasTopic Semantic_Web.
- 281 hasTopic Semantic_Web_Services.
- 281 isPartOf proceedings.
- 281 keyword "semantic web services".