Titlebook: Search Computing; Broadening Web Searc Stefano Ceri,Marco Brambilla Book 2012 Springer-Verlag Berlin Heidelberg 2012 Web engineering.domain

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Natural Language Interfaces to Data Servicesss the requirements of natural language interfaces to data services. While current approaches deal with single-domain questions, we study both rule-based and machine learning methods to address multi-domain questions to support conjunctive queries over data services. Our results denote high accuracy with both approaches.

micronized

Visualizing Search Results: Engineering Visual Patterns Development for the Webt not all the users have the same interests on the same data. In this work we present a Domain-Specific Language to develop visual patterns that allows the user choosing the desired visualization for a given data search result. An example is used to drive the explanations.

SAGE

Thematic Clustering and Exploration of Linked Datahniques transform a basic, flat view of a potentially large set of messy linked data for a given search target, into a high-level, thematic view called .Cloud. In an .Cloud, thematic exploration is guided by few . auto-describing their . for the search target and by their reciprocal . relations.

Eviction

Web Data Reconciliation: Models and Experiencesrt, commercial products. However, web data is inherently imprecise and uncertain, and conflicting values can be provided by different web sources. Characterizing the uncertainty of web data represents an important issue and several models have been recently proposed in the literature. This chapter i

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Extracting Information from Google Fusion Tabless of tables have been shared online, encompassing data from virtually any domain and entered by all kinds of users, from professional to non-experts. While Fusion Tables are a potentially precious source of freely available structured information for all sorts of applications, complex querying and c