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Semantic net: Real-World purposes from Industry deals a glimpse into the outlet door of semantic applied sciences via focused examples of semantic purposes in actual company environments. For relatively it slow, there was proof from educational learn and early business prototypes that semantic know-how might help people and machines considerably in getting access to and utilizing the remarkable, and exponentially growing to be, volume of knowledge that the area broad internet offers. Now semantic know-how is relocating from educational and commercial study into actual items and functions. This ebook presents a chain of case reports which exhibit how genuine merits could be derived from the adoption of semantic know-how in renowned company domain names, resembling telecommunication, B2B integration, healthcare, schooling, and others.
Semantic internet: Real-World functions from Industry summarizes state-of-the paintings services and functional studies from notable know-how showcases. This quantity was once written as a joint attempt of prime specialists within the box of semantic expertise from quite a few backgrounds and nations, together with undefined, academia, and executive corporations. It combines a close description of the demanding situations and technical options with a dialogue of the particular effects and a wealth of classes realized, so one can be valuable for destiny investments into semantic technology.
Semantic net: Real-World functions from Industry was once designed for execs and researchers drawn to the present nation and way forward for semantic know-how. This e-book can be appropriate as a secondary advanced-level textual content or reference for college students in machine science.
Foreword by means of Michael L. Brodie, leader Scientist, Verizon Communications, Cambridge, USA
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2). pdf Payne, P. R. , S. B. Johnson, et al. (2005) Breaking the Translational Barriers: the value of integrating biomedical informatics and translational research. Journal of Investigative Medicine. 53(4): 192-200. , A. Seaborne (2005) SPARQL Query Language for RDF. W3C Working Draft 21 July 2005. , A. Markiel, et al. (2003) Cytoscape: a software environment for integrated models of biomolecular interaction networks. Genome Research 13: 2498-2504. , J. Rung, et al. (2004) Graph Data Representation in Oracle Database 10g: Case studies in Life Sciences.
The application code could be dedicated to implementing the business logic, which it does using terms defined by the ontology, thus creating a unified data model across multiple databases. The benefits of such an approach include the fact that ontologies name and organize the key concepts within the organization, which have a tendency to change relatively slowly. Software engineering is, therefore, more robust against change when ontologies are employed. Having the concept definitions, constraints, and relationships in the ontology makes it easier for data to be reused by applications for which it was not originally intended.
For example, in the life sciences industry, it is common for companies to outsource various components of their pipeline from drug discovery to clinical evaluation. It is necessary for companies to have flexible data architectures so they can integrate data from collaborators with internally generated data. This becomes a real challenge when companies have many partners and have to manage many interrelated projects. Increasingly, companies conduct business in many countries around the globe. Ensuring that their operations meet the legal requirements of each country is a complex and dynamic challenge.