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Practical RDF by Shelley Powers

Practical RDF Shelley Powers ebook
Format: chm
ISBN: 0596002637, 9780596002633
Page: 331
Publisher: O'Reilly Media

A few RDF folks are working on using map/reduce. Furthermore, the choice of supported design patterns is misguided by theoretical assumptions about DL inferencing that are quite often irrelevant for practical purposes. Let's look at a longer version of this answer. RDF is defined as an abstract data model, plus a collection of practical notations for exchanging RDF descriptions (eg. VoID (from "Vocabulary of Interlinked Datasets") is an RDF based schema to describe linked datasets. The data model of the Semantic Web is a graph structure consisting of RDF triples. I note that AllegroGraph manages to be in both communities, with a very practical, high-performance Prolog element; I don't know how parallel it is. Practical semantic web – creating a catalog of Linked data April 4, 2010. Yertle is fast enough to handle modest documents in many practical situations, but it isn't all that fast. I am preparing a practical work about Mobile RDf Stores, especially for Android based Mobile Systems. I helped TimBL refine Delta: an ontology for the distribution of differences between RDF graphs a bit, and there's working code in cwm. Hands on tutorial on how to create a RDF/XML catalog of datasets listed under linkeddata.org. With VoID the discovery and usage of linked datasets can be performed both effectively and efficiently. But I haven't really managed to use it in practical settings. The strengths of RDF is that people can define their own ways of representing data and knowledge, and thus create arbitrary RDF graph patterns.