12-07-2012, 12:09 PM
A Proposed Visualization Tool for Semantic Web Technologies
A Proposed Visualization .pptx (Size: 446.61 KB / Downloads: 532)
Introduction
The semantic web is an extension of the current web in which information is given well-defined meaning, better enabling computers and people to work in cooperation (Berners-Lee et al, 2001). The main purpose of the semantic web is to drive the evolution of the current web by enabling users to find, share and combine information more easily.
It is an efficient infrastructure that enhances visibility of knowledge on the web and is often used more specifically to refer to the formats and technologies that enable it (W3C, 2011). These technologies include RDF, RDFS and OWL which are used to improve retrieval, terminology, development and data mash-ups.
Existing Visualization Tools
It is worthy of note that semantically enriched information becomes more useful if adequately visualized. Suvodeep (2010) identified visualization technologies as means to comprehend, understand and explore data. The author further stated that observing patterns and anomalies via visualization tools help users to understand issues and take informed decisions. Several tools for visualizing semantic web technologies have been proposed. The ISX display navigates and visualizes the discovered entities and relationships contained in the source data.
RDF Graph
RDF Graph Visualization Tool (RDF Gravity) is a tool for visualizing directed graphs built in RDF and OWL. The tool provides a powerful visualization of RDF graph structures and characterized with the ability to filter out and visualize specific parts or fragments of RDF graphs.
Its main features are:
Graph Visualization
Filters (Global, Local, Namespace, Instance level) enabling specific views on a graph.
Full text Search/ RDQL queries
Visualizing multiple RDF files
Methodology
A machine reader is designed to read and scan through RDF, RDFS and OWL documents. RDF, RDFS and OWL documents serve as the input to the system. After the machine has read through the input, tokens will be generated depending on the language type (RDF, RDFS or OWL). A database is designed to store the tokens for future use. The system identifies keywords in RDF, RDFS and OWL and stores them in the database.