Semantic web for the working ontologist modeling in RDF, RDFS .. ontologist” who was trying to create a domain model on the Semantic Web. pdf. Heflin, Jeff, James Hendler, & Sean Luke. SHOE: A Blueprint for the Semantic Web. A CIM profile in the proposed approach is an ontology described using the RDF Schema plus a few OWL constructs (i.e. By this proposal, the subset of CIM that used RDF Schema classes and properties is extended with rdfs:isDefinedBy property. Semantic Triples are also the central. 3. What drives the Semantic Web? On the Web, there was never a notion of a single data store that represent the truth. •The web, by its very nature, has fractured.

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Semantic web for the working ontologist - modeling in RDF, RDFS and OWL. Dean Allemang. Loading Preview. Sorry, preview is currently unavailable. You can. (c) - page 1 of 8 - Get Instant Access to PDF File: ffea Semantic Web For The Working Ontologist: Effective Modeling In Rdfs. And Owl. This book is about Semantic Web and is for the working ontologist. The aim is to In the context of the Semantic Web, modeling is an ongoing process. At any.

Semantic Web technologies have been widely recognized by biodiversity scientists for their potential to help solve this problem, yet these technologies have so far seen little use for biodiversity data.

Such slow uptake has been due, in part, to the relative complexity of Semantic Web technologies along with a lack of domain-specific software tools to help non-experts publish their data to the Semantic Web. The Triplifier uses a vocabulary based on the popular Darwin Core standard, includes both Web-based and command-line interfaces, and is fully open-source software.

Conclusions Unlike most other RDF conversion tools, the Triplifier does not require detailed familiarity with core Semantic Web technologies, and it is tailored to a widely popular biodiversity data format and vocabulary standard.

As a result, the Triplifier can often fully automate the conversion of biodiversity data to RDF, thereby making the Semantic Web much more accessible to biodiversity scientists who might otherwise have relatively little knowledge of Semantic Web technologies. Easy availability of biodiversity data as RDF will allow researchers to combine data from disparate sources and analyze them with powerful linked data querying tools.

However, before software like the Triplifier, and Semantic Web technologies in general, can reach their full potential for biodiversity science, the biodiversity informatics community must address several critical challenges, such as the widespread failure to use robust, globally unique identifiers for biodiversity data. Electronic supplementary material The online version of this article doi Keywords: Biocollections, Biodiversity informatics, Darwin core, Linked data, Ontology, RDF, Semantic web, SPARQL Background Biocollections represent irreplaceable legacy information about our biosphere that is essential for understanding how biodiversity is changing in an era of unprecedented human impacts [ 1 — 3 ].

Such analyses are only practical if data from biocollections around the world are digitized, integrated, and made widely available online. These tasks are a major focus of the field of biodiversity informatics, and although they present many challenges, they also promise to deliver significant benefits for biodiversity science and its allied disciplines see, e.

In recent years, the biodiversity informatics community has made tremendous strides toward achieving this goal by creating shared common vocabularies such as Darwin Core DwC [ 10 ] and publishing mechanisms such as the Integrated Publishing Toolkit IPT [ 11 ]. Thanks to these and other national and international initiatives, we now have hundreds of millions of biodiversity records from around the world published in common formats and aggregated into centralized portals for further use.

Data Knowl. W3C Recommendation.

Accessed 25 Feb Dentler, K. Web J. Springer Google Scholar Fensel, D.

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Morgan Kaufmann Publishers Inc. In Guarino, N. Formal Ontology in Information Systems. W3C Recommendation 21 Mar Springer LNCS, vol.

All my questions were answered I now have twice as many questions, but they're new questions. Overall, it's rare to find a 'text book' that is also a page turner, but this comes pretty close.

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The writing style is fluid and informative without being dry. The examples are understandable and suf If you're interested in the semantic web, but are struggling to piece together the alphabet soup of acronyms and standards, then this is the book for you. The examples are understandable and sufficiently demonstrative to convey the concepts being discussed and the book is organized in a very progressive manner.

The only downside was the number of typos and grammar errors in the book.

Dean Allemang

The rate seemed to increase from one every seven or eight pages in the first few chapters to almost every page in the last few chapters. As I said, if this topic is something you want to learn about, then this book is definitely worth reading cover to cover.

A decent amount of text is contributed in explaining about the elements in the Semantic Web stack. The sequential approach of introducing concepts with real world examples, makes it so very easy for the reader to build on his existing knowledge. It doesn't frighten you at any stage with the complexity of OWL constructs and I think that's where this book succeeds.Morgan Kaufmann.

I guess there's just a lot of freedom inherent in these semantic web standards about how to actually represent information, and that's awesome.

Check out page Thanks to everyone who submitted errata here and in email.

These capabilities include i formal and flexible semantic modeling, ii intelligent, web-scale knowledge integration, iii browsing and exploration of distributed data sets, iv knowledge quality assurance and v knowledge reuse.

Springer LNCS, vol. Thanks to these and other national and international initiatives, we now have hundreds of millions of biodiversity records from around the world published in common formats and aggregated into centralized portals for further use.

First, the technologies behind the SW are generally much more complex than those of traditional data publishing.