Generality in artificial intelligence
Communications of the ACM
CYC: a large-scale investment in knowledge infrastructure
Communications of the ACM
Sesame: A Generic Architecture for Storing and Querying RDF and RDF Schema
ISWC '02 Proceedings of the First International Semantic Web Conference on The Semantic Web
Jena: implementing the semantic web recommendations
Proceedings of the 13th international World Wide Web conference on Alternate track papers & posters
Named graphs, provenance and trust
WWW '05 Proceedings of the 14th international conference on World Wide Web
Perspectives on Contexts (Center for the Study of Language and Information - Lecture Notes)
Perspectives on Contexts (Center for the Study of Language and Information - Lecture Notes)
A framework for context-sensitive metadata description
International Journal of Metadata, Semantics and Ontologies
Visually searching the web for structural content
Proceedings of the 3rd International Symposium on Visual Information Communication
A contextualized knowledge framework for semantic web
ESWC'10 Proceedings of the 7th international conference on The Semantic Web: research and Applications - Volume Part II
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The problem of searching large knowledge bases is becoming an important facet of the current web of steadily proliferating semantic content. By pushing the notion of a context for partitioning large knowledge bases, performance of search is improved by narrowing the search space to a context of interest. On the other hand, by restricting the search only to a particular context, some answer can be missed, downgrading the search accuracy. In order to mitigate this drawback, we propose to extend the standard query algorithms with the operation of context shifting, i.e., the operation that allows switching to a close context, if the current context does not contain satisfactory information to answer a query. The paper provides a conceptual description of shifting in contextualized knowledge bases (CKB); and a prototypical implementation of a CKB that supports context shifting. For the conceptual description we adopt and extend the context-as-a-box paradigm introduced in [15]. In such a framework, a context is identified by a set of dimensions, whose values are taken from value-sets structured in hierarchies. Context shifting allows to switch from one context to another by changing the value of one or more dimensions along the corresponding hierarchies. For the prototypical implementation of a CKB we adopt and extend Sesame RDF store in order to support context shifting.