ABSTRACT Metadata are widely used in order to fully exploit information resources available on corporate intranets or the Internet. The Resource Description Framework (RDF) aims at facilitating the creation and exchange of metadata as any other Web data. The growing number of available information resources and the proliferation of description services in various user communities, lead nowadays...

The data driven world is here. What will RDF’s place therein be? In this paper, we explore the inevitable coming together of RDF, analytic oriented databasing, web scale computing and reasoning. To warehouse, analyze, publish and subscribe to anything anywhere, draw conclusions and distill knowledge. This is the challenge. As a first part of a response, we show how we attain a space consumption...

The increasing availability of large RDF datasets offers an exciting opportunity to use such data to build predictive models using machine learning algorithms. However, the massive size and distributed nature of RDF data calls for approaches to learning from RDF data in a setting where the data can be accessed only through a query interface, e.g., the SPARQL endpoint of the RDF store. In applic...

The standard SPARQL query language is currently defined for querying RDF graphs without RDFS semantics. Several extensions to SPARQL have been proposed to query RDF graphs considering RDFS semantics. In this paper, we discuss extensions of SPARQL that uses regular expressions to navigate RDF graphs and may be used to answer queries considering RDFS semantics. In particular, we present and compa...

RDF (Resource Description Framework) and RDF Schema (collectively called RDF(S)) are the normative language to describe the Web resource information. How to construct RDF(S) from the existing data sources is becoming an important research issue. In particular, UML (Unified Modeling Language) is being widely applied to data modeling in many application domains, and how to construct RDF(S) from t...

RDF may be considered as an application of XML intended to interoperably exchange semantics between Web applications. In its current form, this objective may be hard to reach. Even if the semantical gems hidden in the RDF/RDFS specification are precisely captured, as, for example, in the axiomatic formalizations currently available, the useabilty of RDF’s concepts and constraints is limited: RD...

In recent years semantic web is one of the technologies to make the WWW as machineunderstandable. The Resource Description Framework (RDF) proposed by W3C is used for describing metadata about (Web) resources. The RDF data model can be represented as entity-relationship or class diagrams, as it is based upon the idea of making statements about resources (in particular Web resources) in the form...

Although RDF is serialized using XML, the many possible syntactic forms and the need for inferencing make it difficult to query RDF using existing XML query languages. Numerous new query languages for RDF with built-in knowledge about the semantics of particular inferencing formalisms like RDF Schema and OWL have been proposed or are currently under development. However most, if not all, are sp...

It would be justified to accept that inter cropping system will attract increasing attention overcome ecological constraints. Intercropping is an excellent technique increase total yield, higher monitory return, greater resource utilization, risk management and fulfil the diversified need of farmers. The different farmers thus have more or less land, money access information technologies. In sh...

We introduce an approximation of the Weisfeiler-Lehman graph kernel algorithm aimed at improving the computation time of the kernel when applied to Resource Description Framework (RDF) data. RDF is the representation/storarge format of the semantic web and it essentially represents a graph. One direction for learning from the semantic web is using graph kernel methods on RDF. This is a very gen...