Search computing

Multi-domain search on ranked data

Conference Paper (2011)
Author(s)

A Bozzon (Politecnico di Milano)

Daniele Braga (Politecnico di Milano)

Marco Brambilla (Politecnico di Milano)

Stefano Ceri (Politecnico di Milano)

Francesco Corcoglioniti (Politecnico di Milano)

Piero Fraternali (Politecnico di Milano)

Salvatore Vadacca (Politecnico di Milano)

Affiliation
External organisation
DOI related publication
https://doi.org/10.1145/1989323.1989472
More Info
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Publication Year
2011
Language
English
Affiliation
External organisation
Pages (from-to)
1267-1269
ISBN (print)
9781450306614

Abstract

We demonstrate the Search Computing framework for multi-domain queries upon ranked data collected from Web sources. Search Computing answers to queries like "Find a good Jazz concert close to a specified location, a good restaurant and a hotel at walking distance" and fills the gap between generic and domain-specific search engines, by proposing new methods, techniques, interfaces, and tools for building search-based applications spanning multiple data services. The main enabling technology is an execution engine supporting methods for rank-join execution upon ranked data sources, abstracted and wrapped by means of a unifying service model. The demo walks through the interface for formulating multi-domain queries and follows the steps of the query engine that builds the result, with the help of run-time monitors that clearly explain the system's behavior. Once results are extracted, the demonstration shows several approaches for visualizing results and exploring the information space.

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