A master thesis from Aalborg University
GraphHelper: Visualising & Exploring the Semantic Web using Intelligent Search Tools
Author(s)
Term
4. term
Education
Publication year
2014
Submitted on
2014-08-01
Pages
142 pages
Abstract
This report details the development of tools to assist users in efficiently searching through large RDF datasets. To accomplish this, the research group has developed a graph visualisation application called GraphHelper, which can represent RDF-graphs from both local files and remote repositories. In addition the research group proposes two algorithm for intelligent searching in RDF-data. Interesting Graph is an A*-like Breadth-First-Search algorithm, which to the best of the research groups knowledge, is a novel approach to exploring RDF-graphs. A user specifies search terms, based on which Interesting Graph searches the local neighbourhood of a designated node and returns the most promising sub-graph to be visualised by GraphHelper. Interesting Path searches for relevant paths between two nodes, using a set of search terms specified by the user. This algorithm is an extension of previous work in the field. For both Interesting Graph and Paths, a set of experiments were performed in order to determine the precision of the algorithms using real-life data. With this report comes a CD-ROM which contains documentation, source code, libraries and experimental results. GraphHelper and all libraries are open source.
Keywords
RDF ; SPARQL ; Semantic Web ; Graph ; Jena ; Interesting Graph ; Interesting Path
Documents
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