Materialization Calculus for Contexts in the Semantic Web

In our work, we use Semantic Web technology through an ontology to define a hierarchical context model for a user and a requester an rules are defined using the Semantic Web

The Knowledge representation component of ARMISCOM is composed by distributed chronicles, an ontology to correlate faults and repair methods, and a metadata for storing

A CKR knowledge base has a two layered structure, modelled by a global context and a set of local contexts: the global context not only contains the metaknowl- edge defining

The algorithm extends the well known ALC tableaux algorithm [6, 12] and it is based on a combination of local reasoning inside each context with a set of novel rules that

Risk measures like value at risk (VaR) or expected shortfall (ES)[15] are an important instrument to quantify risks, which are in general based on a so called loss distribution,

We have argued so far in this paper that a simple model of provenance, based around the central three provenance operators and the storage of provenance traces, can be used on

Our proposal which is based on DL f- SHIN , consists of the RDF triples syn- tax accommodating the fuzzy element, the fuzzy reasoning engine FiRE and its integration with RDF

newly integrated entities should be edited (using the features of the ontology editor) to fit the requirements of the ontology engineer and the Watson plugin be used to find