Fast similarity join for multi-dimensional data
Information Systems
Linked data on the web (LDOW2008)
Proceedings of the 17th international conference on World Wide Web
NAGA: harvesting, searching and ranking knowledge
Proceedings of the 2008 ACM SIGMOD international conference on Management of data
Top-k Exploration of Query Candidates for Efficient Keyword Search on Graph-Shaped (RDF) Data
ICDE '09 Proceedings of the 2009 IEEE International Conference on Data Engineering
Semantic Search --- Using Graph-Structured Semantic Models for Supporting the Search Process
ICCS '09 Proceedings of the 17th International Conference on Conceptual Structures: Conceptual Structures: Leveraging Semantic Technologies
Enhanced results for web search
Proceedings of the 34th international ACM SIGIR conference on Research and development in Information Retrieval
SemSearchPro - Using semantics throughout the search process
Web Semantics: Science, Services and Agents on the World Wide Web
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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.