Titlebook: Search Computing; Challenges and Direc Stefano Ceri,Marco Brambilla Book 2010 Springer-Verlag Berlin Heidelberg 2010 algorithm.algorithms.c

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书目名称Search Computing影响因子(影响力)




书目名称Search Computing影响因子(影响力)学科排名




书目名称Search Computing网络公开度




书目名称Search Computing网络公开度学科排名




书目名称Search Computing被引频次




书目名称Search Computing被引频次学科排名




书目名称Search Computing年度引用




书目名称Search Computing年度引用学科排名




书目名称Search Computing读者反馈




书目名称Search Computing读者反馈学科排名

全等

Chapter 5: From Mashup Technologies to Universal Integration: Search Computing the Imperative Ways on our own mashup platform, mashArt, and discuss its approach to what we call universal integration, i.e., integration at the data, application, and user interface layer inside one and the same mashup environment. To better explain the novel ideas of the platform and its value in the context of se

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Chapter 7: Dataspacesnology, and enabling a systematic comparison of proposals. This chapter also seeks to identify common and complementary ideas in the dataspace and search computing literatures, in so doing identifying opportunities for both areas and open issues for further research.

猛然一拉

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Chapter 11: Rank-Join Algorithms for Search Computinginted out in the previous chapter, joins in this context differ from the traditional relational setting for a number of aspects: services can be accessed according to limited patterns, i.e. some inputs need to be provided; accessing services is costly, since they are typically remote; the output is

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Chapter 12: Panta Rhei: Flexible Execution Engine for Search Computing Queriesa flows to produce query results. We present the specification of Panta Rhei by formally defining the units for data production, consumption, manipulation, and caching, as well as the control and data flows. Finally, we discuss how a query plan is expressed in terms of a query execution plan.

外面

Chapter 13: Liquid Queries and Liquid Results in Search Computing on a tabular representation of results and comprise: reordering, clustering, addition or deletion of attributes, addition of extra service marts to the query for specific items in the result set or for the entire result set, request of more results from all services or from selected ones, expansion

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Chapter 14: Building Search Computing Applicationsgn will support the deployment upon high performance architectures. Finally, we describe advertising as the prevalent business model of the search engines industry, and briefly discuss the options for the evolution of such model in the context of Search Computing.

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Book 2010emises for search computing and for providing a technological framework for building search computing systems and applications. The third part delves into the conceptual and technological problems and issues arising when dealing with search computing as a new search paradigm. It provides a unified v