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C-OWL: Contextualizing Ontologies
TLDR
We show how ontologies can be contextualized, thus acquiring certain useful properties that a pure shared approach cannot provide. Expand
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Semantic Coordination: A New Approach and an Application
TLDR
In this paper, we propose a new algorithm for discovering semantic mappings across hierarchical classifications based on a new approach to semantic coordination. Expand
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Contextual reasoning distilled
TLDR
In this paper we provide a foundation of a theory of contextual reasoning from the perspective of a Theory of knowledge representation. Expand
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Contextualizing ontologies
TLDR
In this paper, we show how ontologies can be contextualized, thus acquiring certain useful properties that a pure shared approach cannot provide. Expand
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Specification of a Common Framework for Characterizing Alignment
TLDR
Definition of a common framework for characterizing alignment of heterogeneous information. Expand
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Lecture Notes in Artificial Intelligence
TLDR
LNAI was established in the mid-1980s as a topical subseries of LNCS focusing on artificial intelligence. Expand
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Enabling Distributed Knowledge Management: Managerial and Technological Implications
In this paper we show that the typical architecture of current KM systems reflects an objectivistic epistemology and a traditional managerial control paradigm. We argue that such an objectivisticExpand
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Peer-Mediated Distributed Knowledge Management
TLDR
We propose a distributed approach to knowledge management based on the principle that the multiplicity (and heterogeneity) of perspectives within complex organizations should not be viewed as an obstacle to knowledge exploitation, but rather as an opportunity that can foster innovation and creativity. Expand
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Entity Name System: The Back-Bone of an Open and Scalable Web of Data
TLDR
This paper focuses on the role of an ENS in contributing to the scalability of ad-hoc and on demand information integration tasks. Expand
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Theories and uses of context in knowledge representation and reasoning
This paper discusses the uses of context in knowledge representation and reasoning (KRR). We propose to partition the theories of context brought forward in KRR into two main classes, which we callExpand
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