Advances in Data Management (Studies in Computational - download pdf or read online

ISBN-10: 3642021905

ISBN-13: 9783642021909

Information administration is the method of making plans, coordinating and controlling facts assets. extra usually, purposes have to shop and seek a large number of information. handling info has been continually challenged by means of calls for from quite a few components and purposes and has advanced in parallel with advances in and computing techniques.

This quantity makes a speciality of its contemporary advances and it truly is composed of 5 elements and a complete of eighteen chapters. the 1st a part of the ebook includes 5 contributions within the quarter of knowledge retrieval & internet intelligence: a unique method of fixing index choice challenge, built-in retrieval from net of files and knowledge, bipolarity in database querying, deriving information summarization via ontologies, and granular computing for internet intelligence.

The moment a part of the ebook includes 4 contributions in wisdom discovery zone. Its 3rd half comprises 3 contributions in info integration & info safety quarter. the remainder components of the publication comprise six contributions within the zone of clever brokers and functions of knowledge administration in clinical area.

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Thus multiple words inside angular brackets are conjoined. The user can provide the system with disambiguation information using the novel wordset pair queries. A wordset pair consists of two wordsets separated by the scope resolution operator as shown below: ::. The first of the pair refers to the class/superclass and the second of the pair to the instance/subclass. So the wordset pair ::would match a node whose index words contains “john” and which is a direct or indirect instance of a URI whose index words contains “student”.

A node is an abstract entity that is uniquely identified by its URI. There are two categories of nodes: (i) Natural nodes (NN) and (ii) System defined nodes (SN). The natural nodes can be further classified as plain (or non-document) nodes (PN) and document nodes (DN) based on whether or not a node has an associated document. The system defined nodes can be further classified as literal nodes (LN), triple nodes (TN) and blank nodes (BN). The system creates a URI and assigns it to each blank node, triple and literal that it encounters on the Web.

Effectively, nodes and their neighborhoods (specifically, through in-links) are retrieved. id_db=2023 ) 36 K. Thirunarayan and T. Immaneni QUERY: ANSWER: Nodes-ref ::= getAssertingNodes(Triples-ref) Result( getAssertingNodes(Triples-ref)) = { m ∈ DN | ∃t ∈ Results(Triples-ref) : [m, asserts, t] } SEMANTICS: This query retrieves document nodes containing the triples, a form of provenance information. x]) QUERY: Nodes-ref ::= getDocsByKeywords(ss), where ss ∈ PowerSet(STRINGS). ANSWER: Result( getDocsByKeywords(kws)) = { m ∈ DN | hasDocument(m) = dt ∧ match(kws, dt) } SEMANTICS: This query is analogous to the traditional keyword query that takes a set of keywords and retrieves document nodes that match the keywords.

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Advances in Data Management (Studies in Computational Intelligence, Volume 223)

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