SWHi: A Case Study in Information Retrieval, Inference, and Visualization in the Semantic Web

Search engines have become the most popular tools for finding information in the Internet. A real-world Semantic Web application can benefit from this by combining its features with some features from search engines. In this paper, we describe methods for indexing and searching a populated ontology by using an information retrieval tool, whose search results are enriched using inference. For visualization purposes, all of the retrieved ontology instances are then clustered based on their classes; and the clusters are linked using instance properties. The approach is illustrated using our SWHi (Semantic Web for History) prototype as a case study.
Published in 2007