Both Topic Maps and RDF are popular semantic web standards designed for machine processing of web documents. Since these representations were originally created for different purposes, they have differences both in their concepts and in their data models. The Topic Map data model can be seen as an ontology for building indices over web documents, whereas RDF is a language to define arbitrary pr...

In this abstract, we compare semantic search (in the RDF model) with keyword search (in the relational model), and illustrate how these two search paradigms are different. This comparison addresses the following questions: (1) What can semantic search achieve that keyword search can not (in terms of behavior)? (2) Why is it difficult to simulate semantic search, using keyword search on the rela...

This paper reports on some initial work on a NetAPI for accessing and updating RDF data over the web. The NetAPI includes actions for conditional extraction or update of RDF data, actions for model upload and download and also the ability to enquire about the capabilities of a hosting server. An initial experimental system is described which partially implements these ideas within the Jena RDF ...

In order to realize the vision of the Semantic Web, a semantic model for encoding content in the World Wide Web, efficient storage and retrieval of large RDF data sets is required. A common technique for storing RDF data (graphs) is to use a single relational database table, a triple store, for the graph. However, we believe a single triple store cannot scale for the needs of large-scale applic...

Although the model-theoretic semantics of the languages used in the Semantic Web are crisps, the need arise to extend them to represent fuzzy data, in the same way fuzzy logic extend first-orderlogic. We will define a fuzzy counterpart of the RDF Model Theory for RDF (section 2) and RDF Schema (section 3). Last, we show how to implement the extended semantics in inference rules (section 4).

The basic principle of the Semantic Web carried by the RDF data model is that many RDF statements coexist all together and are universally true. However, some case studies imply contextual relevancy and truth this is well known in the Conceptual Graph community and handled through the notion of contexts. In this paper, we present an approach and a tool for semantic annotation of textual data us...

Edutella is an RDF-based E-Learning P2P network that is aimed to accommodate heterogeneous learning resource metadata repositories in a P2P manner and further facilitate the exchange of metadata between these repositories based on RDF. Whereas Edutella provides RDF metadata repositories with a quite natural integration approach, XML metadata repositories have to overcome considerable incompatib...

RDF data are used to model knowledge in various areas such as life sciences, Semantic Web, bioinformatics, and social graphs. The size of real RDF data reaches billions of triples. This calls for a framework for efficiently processing RDF data. The core function of processing RDF data is subgraph pattern matching. There have been two completely different directions for supporting efficient subg...

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...