Semantic web concepts technologies and applications ebook

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Semantic Web: Concepts, Technologies and Applications format: PDF; ebooks can be used on all reading devices; Immediate eBook download after download. It includes: real-world (and complete) examples of the application of Semantic Web concepts; how the technology presented and discussed. Get this from a library! Semantic Web: Concepts, Technologies and Applications. [Karin K Breitman; Marco Antonio Casanova; Walter Truszkowski;].

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Semantic Web Concepts Technologies And Applications Ebook

Semantic Web: Concepts, Technologies and Applications (NASA Monographs in Systems and Software Engineering) [Karin Breitman, Marco Antonio Casanova. Semantic Web book. Read 4 reviews from the world's largest community for readers. Although the Web is growing at an astounding pace, surpassing the 8 bil . semantic web concepts technologies and applications We peruse the unimpeachable altering of this ebook in txt, DjVu, ePub,PDF, dr. activity. You navigational.

The book takes the reader from the beginning to the details of developing semantic web applications in a few easy chapters. Not only is the book updated, but it offers an improved reorganization emphasizing key technologies such as SPARQL and discussing new trends such as linked data. A Semantic Web Primer provides an introduction and guide to this continuously evolving field, describing its key ideas, languages, and technologies. Suitable for use as a textbook or for independent study by professionals, it concentrates on undergraduate-level fundamental concepts and techniques that will enable readers to proceed with building applications on their own and includes exercises, project descriptions, and annotated references to relevant online materials. The third edition of this widely used text has been thoroughly updated, with significant new material that reflects a rapidly developing field. This edition also features additional coverage of the query language SPARQL, the rule language RIF and the possibility of interaction between rules and ontology languages and applications. The chapter on Semantic Web applications reflects the rapid developments of the past few years. A new chapter offers ideas for term projects.

Recent research conducted by the Frey group has benefitted considerably from the development of modern, high quality chemical ontologies [ 19 , 20 ] and the availability of open-access, online chemical databases [ 21 ]. Chemists and the cheminformatics community have thus been aware for several years of the requirement for advanced data integration facilities in scientific software systems. Recent years have seen a growing realisation of the importance of semantics and the relevance of Semantic Web technologies.

A key aim for CHESS is to facilitate the integration of data derived from various sources, thereby enabling more effective use of Semantic Web methodologies.

Advanced data integration requires the ability to unambiguously interpret conceptual entities such that data may be shared and re-used at any time in the future.

Given this ability, data never loses its value, and hence, it is always possible to extract new value from old data, by integrating it with new data. Semantic Web technologies enable data integration by allowing the structure and semantics of conceptual entities to be fixed, e. Hence, we argue that it is of vital importance that the cheminformatics community and the chemistry community in general endorses the use of Semantic Web techniques and technologies for the representation of scientific data.

In this article, our goal is to demonstrate how Semantic Web techniques and technologies can be used in order to support chemistry research. Accordingly, the remainder of this article is organised as follows: First, we introduce the Semantic Web, along with the vocabularies that we intend to use for our examples. Second, we present four examples of the use of Semantic Web techniques and technologies three datasets and one software application. Third, we discuss the legal implications of the use of Semantic Web technologies in an environment that is hazardous to health, e.

This is followed by an evaluation and discussion of our approach. Finally, the article is concluded. Background In this section we introduce the Semantic Web and discuss the associated techniques and technologies for knowledge representation.

[PDF] FREE Semantic Web: Concepts, Technologies and Applications (NASA Monographs in Systems and

Semantic Web The Semantic Web is a collaborative movement that argues for the inclusion of machine-processable data in Web documents [ 3 ]. The activities of the Semantic Web movement are coordinated by the World Wide Web Consortium W3C [ 26 ], and include: the specification of new technologies; and, the exposition of best practice. Such identification enables interaction with representations of the Web resource over a network typically the World Wide Web using specific protocols.

At the next level of the stack is the RDF [ 28 , 29 ]—a family of specifications, which collectively define a methodology for the modelling and representation of information resources as structured data. According to the RDF semantics [ 29 ], any two graphs may be combined to yield a third graph.

A Semantic Web Primer, Third Edition

However, using these technologies alone, it is not possible to give semantics to data. RDFS is a self-hosted extension of RDF that defines a vocabulary for the description of basic entity-relationship models [ 30 ]. However, it does not incorporate any aspects of set theory, and hence, cannot be used to describe certain types of models.

Commonly-used vocabularies In this section we briefly introduce three popular vocabularies that are used in order to construct our datasets.

Dublin core The Dublin Core Metadata Initiative DCMI is a standards body that focuses on the definition of specifications, vocabularies and best practice for the assertion of metadata on the Web. Our decision to use DCMI Metadata Terms is motivated by the fact that, today, it is the de facto standard for the assertion of metadata on the Web [ 34 ]. Accordingly, metadata that is asserted by our software systems using DCMI Metadata Terms can be easily integrated with that of other software systems.

Instead, some resources have meaningful relationships to other resources. The OAI-ORE data model addresses two issues: the assertion of identity for both aggregations and their constituents, and the definition of a mechanism for the assertion of metadata for either the aggregation or its constituents. As its name suggests, SKOS is an organisation system that relies on informal methods, including the use of natural language. In SKOS, two types of semantic relationship link concepts: hierarchical and associative.

SKOS provides a basic vocabulary of metadata terms, which may be used in order to associate lexical labels with resources. Moreover, given its overall minimalism, and clarity of design, the SKOS data model is highly extensible, e.

Methods and results In this section, we give three examples of how Semantic Web techniques and technologies can be used in order to support chemistry research: a controlled vocabulary for quantities, units and symbols in physical chemistry; a controlled vocabulary for the classification and labelling of chemical substances and mixtures; and, a database of chemical identifiers. Moreover, we present a Web-based service that uses these datasets in order to assist with the completion of risk assessment forms.

Introduction to the Semantic Web and Semantic Web Services - CRC Press Book

The aim of these datasets is to identify and relate conceptual entities that are relevant to many sub-domains of chemistry, and would therefore, benefit from standardisation. Upcoming SlideShare. Like this presentation?

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