Download e-book for kindle: Advances in Web-Age Information Management: 6th by Peter Buneman (auth.), Wenfei Fan, Zhaohui Wu, Jun Yang

By Peter Buneman (auth.), Wenfei Fan, Zhaohui Wu, Jun Yang (eds.)

ISBN-10: 3540292276

ISBN-13: 9783540292272

This ebook constitutes the refereed court cases of the sixth overseas convention on Web-Age details administration, WAIM 2005, held in Hangzhou, China, in October 2005.

The forty eight revised complete papers, 50 revised brief papers and four business papers offered including three invited contributions have been rigorously reviewed and chosen from 486 submissions. The papers are geared up in topical sections on XML, functionality and question review, info mining, semantic internet and internet ontology, facts administration, info platforms, net providers and workflow, info grid and database languages, agent and cellular information, database software and transaction administration, and three sections with business, brief, and demonstration papers.

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Read or Download Advances in Web-Age Information Management: 6th International Conference, WAIM 2005, Hangzhou, China, October 11 – 13, 2005. Proceedings PDF

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Additional info for Advances in Web-Age Information Management: 6th International Conference, WAIM 2005, Hangzhou, China, October 11 – 13, 2005. Proceedings

Example text

The first is that for most grid projects, participant organizations or institutions are limited, centralized management can be easily used to 28 H. Jin manage all the resources and services within a grid domain. The second is most grid middleware use “publish-find-bind” web services scheme [40]. All the resources and services need to be registered to the Universal Discovery, Description and Integration (UDDI) center. This UDDI center becomes the central management point of grid system. This single domain scheme restricts the scalability of grid entities joining the effort, and also will be the single point of failure of the whole grid system.

Take Fig. 4(b) for example, suppose that a class has only one tutor in Tutor-Class and that each tutor is in charge of only one class. For any Ti, there at most exists one Cj such that R∆(p(Ti, Cj)) ≠ ∅, and for any Cm there at most exists one Tn such that R∆(p(Tn, Cm)) ≠ ∅. We define function ⎧1, R∆(p) ≠∅ and use p to denote the point p(T , C ). Then, this conij i j NotNull ( p) = ⎨ ⎩0, R∆(p) =∅ straint can be formally represented as: 3 ∀i(∑ NotNull ( pij ) ≤ 1) ∧ j =1 3 ∀j (∑ NotNull ( pij ) ≤ 1) .

This conclusion obviously contradicts the above assumption that CK is the candidate key of RS. So CK1 is a candidate key of RS1. Similarly, we can prove that CK2 is a candidate key of RS2.  In resource space systems, there often exist some resource spaces created dynamically by join, merge and split operations. Theorem 2, 3 and 4 in fact provide efficient means of deriving the candidate keys of these resource spaces created dynamically. 2 Resource Entry In RSM, a resource entry denoted as a 3-tuple Resource-Entry is used to index a piece of resource of resource representation layer.

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Advances in Web-Age Information Management: 6th International Conference, WAIM 2005, Hangzhou, China, October 11 – 13, 2005. Proceedings by Peter Buneman (auth.), Wenfei Fan, Zhaohui Wu, Jun Yang (eds.)

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