Hermes

Abstract

The Web as a global information space is developing from a Web of documents to a Web of data. This development opens new ways for addressing complex information needs. Search is no longer limited to matching keywords against documents, but instead complex information needs can be expressed in a structured way, with precise answers as results. In this paper, we demonstrate Hermes, an infrastructure for data web search. To provide an end-user oriented interface, we support expressive keyword search by translating user information needs into structured queries. We integrate heterogeneous web data sources with automatically computed mappings. Schema-level mappings are exploited in constructing structured queries against the integrated schema. These structured queries are decomposed into queries against the local web data sources, which are then processed in a distributed way.

SemSearchPro – Using semantics throughout the search process

“…All systems support the entire search process, but focus on different aspects. We refer the interested reader to the more complete descriptions of these systems available in the respective conference papers and technical reports [15,41,14].…”

“…The Hermes system [41] targets semantic search in a multi-dataset scenario. It has been built to cope withmany datasets available for the Billion Triple Challenge.…”