Data Management and Query Processing in Semantic Web by Sven Groppe

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By Sven Groppe

The Semantic net, that is meant to set up a machine-understandable net, is at present altering from being an rising pattern to a know-how utilized in complicated real-world purposes. a few criteria and methods were constructed through the realm vast net Consortium (W3C), e.g., the source Description Framework (RDF), which supplies a common process for conceptual descriptions for net assets, and SPARQL, an RDF querying language. fresh examples of huge RDF info with billions of evidence contain the UniProt complete catalog of protein series, functionality and annotation facts, the RDF facts extracted from Wikipedia, and Princeton University’s WordNet. basically, querying functionality has develop into a key factor for Semantic net applications.

In his e-book, Groppe information a variety of facets of high-performance Semantic net facts administration and question processing. His presentation fills the space among Semantic net and database books, which both fail take into consideration the functionality problems with large-scale facts administration or fail to use the targeted homes of Semantic net information versions and queries. After a basic advent to the proper Semantic net criteria, he offers really expert indexing and sorting algorithms, tailored methods for logical and actual question optimization, optimization percentages whilst utilizing the parallel database applied sciences of today’s multicore processors, and visible and embedded question languages.

Groppe basically objectives researchers, scholars, and builders of large-scale Semantic internet functions. at the complementary e-book web site readers will locate extra fabric, similar to a web demonstration of a question engine, and routines, and their suggestions, that problem their comprehension of the themes presented.

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Rules in RIF-PRD support actions as consequent in the (production) rules. , additions, removals, or replacements) of frames, executions of externally defined actions, or sequences of these actions, including the declaration of local variables and a mechanism to bind a local variable with a frame slot value or a new frame object. 9 Related Work 31 A typical scenario for the use of RIF with RDF/OWL is the exchange of rules that use RDF data and/or RDFS or OWL ontologies. An interchange partner A uses a rule language that is RDF/OWL-aware; that is, the input data of the rules are RDF data, an RDFS or OWL ontology defines the semantics of objects used in the rules, or the rules extend RDF(S)/OWL inference.

For range queries, the first value is searched with key equal to or larger than a and equal to or smaller than b, and afterward, all succeeding values are returned with keys smaller than b. 5 Inserting Indices do not contain only static data. Instead, data are often updated, that is, new data are inserted and old data deleted, to reflect changes in the real world like a new employee. When inserting a new key-value pair into the B+-tree, the insertion 3 External Sorting and B+-Trees 42 position in a leaf is first searched for using a search algorithm similar to the one for searching the value of a key.

The first approach is a variant of the external merge sort approach. The variant generates longer initial runs (and thus less number of runs) than external merge sort using main-memory sort algorithms, and thus the succeeding merge phase can be processed faster. Since the generation of the initial runs has a similar performance, our approach is faster than external merge sort using main-memory sort algorithms. In comparison to the approach of replacement selection, our approach generates slightly smaller initial runs, and thus the merging phase is slightly slower.

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