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Titlebook: Knowledge Engineering: Practice and Patterns; 16th International C Aldo Gangemi,Jérôme Euzenat Conference proceedings 2008 The Editor(s) (i

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Formalizing Ontology Modularization through the Notion of Interfacesd formalism, each ontology module both employs and realizes two distinct sets of interfaces. The axioms in each interface form the public section of the ontology module, while its ABox and TBoxes are private and can only be accessed through epistemic queries. This formalism permits the separation of
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Correspondence Patterns for Ontology Alignments. They come in complement of ontology matching algorithms and graphical mapping tools, and facilitate the task of the engineer building the alignment between a pair of ontologies. We develop an ontology mediation framework based on three ontology correspondence abstraction levels. We particularly d
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Preference-Based Uncertain Data Integrationour approach we keep it up to the integrated database, and use it to improve query answering. Our method is based on the concept of .: we show how preferences can be interpreted and manipulated to produce a global uncertain data source, and discuss the complexity of ranking query results on the inte
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Formal Concept Analysis: A Unified Framework for Building and Refining Ontologies documents, etc, where objects are described in terms of attributes and relations with other objects. One important and hard problem is to be able to combine and merge knowledge units extracted from these different resources within an homogeneous formal representation (such as a description logic or
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Contextualized Knowledge Acquisition in a Personal Semantic Wikien as an enabling technology for intelligent services which may help knowledge workers in tasks like finding, structuring, or assessing information. Also, a high level of formalization has potential to directly support problem solving, e.g., by the application of inferencing services. A coupling of
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