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

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Materialization of Web Data Sources offer API for interacting with their information, and open data initiative such as the Linked Data project promise to achieve the vision of the Web of data. Unfortunately, access to Web data is typically limited by the constraints imposed by the query interface, and by technical limitations such as

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Natural Language Interfaces to Data Services the complex problem of recognizing relevant services given an ambiguous, potentially ungrammatical natural language question..In this paper, we address the requirements of natural language interfaces to data services. While current approaches deal with single-domain questions, we study both rule-ba

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Visualizing Search Results: Engineering Visual Patterns Development for the Weba visual representation for a given set of data is fixed a priori by the developer with no chance for the user to adjust or change it. The fact is that 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 allow

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Extending SPARQL Algebra to Support Efficient Evaluation of Top-K SPARQL Queriesto optimization is “top-k” queries, i.e. queries returning the top . results ordered by a specified ranking function. Top-k queries can be expressed in SPARQL by appending to a SELECT query the ORDER BY and LIMIT clauses, which impose a sorting order on the result set, and limit the number of result

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Thematic Clustering and Exploration of Linked Dataand more important. In this paper, we propose aggregation and abstraction techniques for thematic clustering and exploration of linked data. These techniques 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 calle

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