Download Advances in Data Management (Studies in Computational PDF

ISBN-10: 3642021905

ISBN-13: 9783642021909

Info administration is the method of making plans, coordinating and controlling information assets. extra usually, purposes have to shop and seek a large number of information. dealing with info has been consistently challenged by means of calls for from a number of parts and purposes and has advanced in parallel with advances in and computing techniques.

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

The moment a part of the e-book comprises 4 contributions in wisdom discovery region. Its 3rd half includes 3 contributions in info integration & information safeguard quarter. the remainder components of the e-book include six contributions within the region of clever brokers and purposes of information administration in scientific area.

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

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1 Wordsets and Wordset Pairs The wordsets allow users to search for nodes (URIs) based upon the words and phrases in their URI Index Words. A wordset is a set of words and phrases (multiple words enclosed in quotes) enclosed in angular brackets as shown: . Given a wordset, the system retrieves all the nodes in the UW such that all of the words/phrases in the wordset appear in the node’s index words. com. Let this node be referenced from another HTML document as follows: 32 K.

X] QUERY: ANSWER: Triples-ref ::= [Nodes-ref, Nodes-ref, Nodes-ref] Result([Nodes-ref1, Nodes-ref2, Nodes-ref3]) = { t ∈ TN | n1 ∈ Result(Nodes-ref1) ∧ n2 ∈ Result(Nodes-ref2) ∧ n3 ∈ Result(Nodes-ref3) ∧ ∃m ∈ N : [m, asserts, t] ∧ [t, rdf:subject, n1] ∧ [t, rdf:predicate, n2] ∧ [t, rdf:object, n3] } SEMANTICS: The full triple query [Nodes-Ref, Nodes-Ref, Nodes-ref] returns the set of (system generated) triple nodes matching the node references. var is a variable. var, Nodes-ref]) = { t ∈TN | m ∈ Result(Nodes-ref) ∧ [t, rdf:object, m] ∧ ∃n ∈ N : [n, asserts, t] } Similarly, for the other two cases.

Var Nodes-ref1 Nodes-ref2] returns the set of (system generated) triple nodes that contain a node related by a binary predicate denoted by Nodes-ref1 to some node denoted by Nodes-ref2. Similarly, for the other two cases. Note that this query characterizes a node using its neighborhood. x] QUERY: ANSWER: Triples-ref ::= [Nodes-ref, Nodes-ref, Nodes-ref] Result([Nodes-ref1, Nodes-ref2, Nodes-ref3]) = { t ∈ TN | n1 ∈ Result(Nodes-ref1) ∧ n2 ∈ Result(Nodes-ref2) ∧ n3 ∈ Result(Nodes-ref3) ∧ ∃m ∈ N : [m, asserts, t] ∧ [t, rdf:subject, n1] ∧ [t, rdf:predicate, n2] ∧ [t, rdf:object, n3] } SEMANTICS: The full triple query [Nodes-Ref, Nodes-Ref, Nodes-ref] returns the set of (system generated) triple nodes matching the node references.

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