Chapter 13. Case study 2: SIREn
Searching semistructured documents with SIREn
Contributed by RENAUD DELBRU, NICKOLAI TOUPIKOV, MICHELLE CATASTA, ROBERT FULLER, and GIOVANNI TUMMARELLO
In this case study, the crew from the Digital Enterprise Research Institute (DERI; http://www.deri.ie) describes how they created the Semantic Information Retrieval Engine (SIREn) using Lucene. SIREn (which is open source and available at http://siren.sindice.com) searches the semantic web, also known as Web 3.0 or the “Web of Data,” which is a quickly growing collection of semistructured documents available from web pages adopting the Resource Description Framework (RDF)[1] standard. With RDF, pages publicly available on the web encode structural relationships ...
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