The Semantic Web is based on the idea of adding more machine-readable semantics to web information via annotations written in a language called the Resource Description Framework (RDF). RDF resembles a subset of binary first-order logic including the ability to refer to anonymous objects. Its

The Semantic Web is based on the idea of adding more machine-readable semantics to web information via an-notations written in a language called the Resource De-scription Framework (RDF). RDF resembles a subset of binary first-order logic including the ability to refer to anonymous objects. Its

We consider the setting of a Semantic Web database, containing both explicit data encoded in RDF triples, and implicit data, implied by the RDF semantics. Based on a query workload, we address the problem of selecting a set of views to be materialized in the database, minimizing a combination

Today’s Semantic Web datasets become increasingly larger containing up to several hundred million triples. The performance of index construction is a crucial factor for the success of large Semantic Web databases. In this paper, we propose two new approaches for RDF index construction: External

are focused on “connecting the dots”. For this genre of applications, support for identifying, revealing and analyzing links or relationships between groups of entities (link analysis) is crucial. Currently, mainstream database systems do not provide support for such analyses and current solutions rely

Many challenges of bringing communicating multiagent systems to the Web require ontologies. The integration of agent technology and ontologies could significantly affect the use of Web services and the ability to extend programs to perform tasks for users more efficiently and with less human

The Semantic Web relies heavily on the formal ontologies that structure underlying data for the purpose of comprehensive and transportable machine understanding. Therefore, the success of the Semantic Web depends strongly on the proliferation of ontologies, which requires fast and easy engineering

of web services should be based on the semantic match between a declarative description of the service being sought, and a description of the service being offered. Furthermore, we claim that this match is outside the representation capabilities of registries such as UDDI and languages such as WSDL. We

view of Semantic Web Resources. Users can also further manipulate this generated DVS to integrate the data from local databases and those from Semantic Web, and then visualize the integrated data with either a standard or a nonstandard chart.

of inaccurate segmentation, 2) helps to clarify the semantics of a particular region, and 3) enables a simple querying interface for region-based image retrieval systems. The application of SIMPLIcity to several databases, including a database of about 200,000 general-purpose images, has demonstrated that our