Sentence examples for a heterogeneous context from inspiring English sources

In contrast to the region detection mechanism, the mechanism for detecting clusters operates in a heterogeneous context where both fixed and variable size subsets of the discretised space are considered.

In e-marketplace, semantic document exchange is a methodology of providing exchangeable semantic documents, which ensures document writer, writer's computer, reader's computer and document reader to share a same understanding in meaning on any exchanged document, that is, a semantic document is exchangeable across any heterogeneous contexts.

Semantic reasoning and ontologies were adopted in this research to facilitate the exploitation and integration of heterogeneous context information delivered by the devices in an ambient-intelligent patient room.

We showed that knowledge embedded in the upper ontology can homogeneously be used to enable a unified reasoning mechanism that operates on facts instantiated by the perceived heterogeneous context elements.

Finally, we investigate different clustering approaches for the hybrid data fusion in the heterogeneous context.

In the following, we describe the genetics-based algorithm applied in the heterogeneous context for positioning purposes.

This study contributes to this heterogeneous context by investigating public participation in GIS within the field of mobile-based applications.

These are heterogeneous context perception and integration at the semantic level, and context-aware content discovery and adaptation at run-time.

Organizations are constantly facing accelerating macro- and micro-level environmental changes, challenging to become dynamic and adapt to the unstable and heterogeneous context.

Other challenges that need to be addressed to develop robust mobile learning recommenders are those related to (i) the limited-resource mobile technology; (ii) low-bandwidth and unsecured wireless communication; (iii) heterogeneous context management and (iv) personalized content retrieval.

This paper attempts to solve some of the problems related to the last two challenges, heterogeneous context management and personalized content retrieval, making use of the progress made in ubiquitous computing and the Semantic Web respectively.