000 02527pam a2200229a 44500
008 150502b2012 xxu||||| |||| 00| 0 eng d
020 _a9781118004173
040 _cBITS Pilani Hyderabad
_aBITS Pilani Hyderabad
041 _aENG
082 _a005.1 PAR-F
100 _aParreiras, Fernando Silva
245 _aSemantic web and model-driven engineering /
_cFernando Silva Parreiras
260 _aNew Jersey
_bWiley
_c2012
300 _a236 p.
365 _aINR
_b69.95
500 _aThe next enterprise computing era will rely on the synergy between both technologies: semantic web and model-driven software development (MDSD). The semantic web organizes system knowledge in conceptual domains according to its meaning. It addresses various enterprise computing needs by identifying, abstracting and rationalizing commonalities, and checking for inconsistencies across system specifications. On the other side, model-driven software development is closing the gap among business requirements, designs and executables by using domain-specific languages with custom-built syntax and semantics. It focuses on using modeling languages as programming languages. Among many areas of application, we highlight the area of configuration management. Consider the example of a telecommunication company, where managing the multiple configurations of network devices (routers, hubs, modems, etc.) is crucial. Enterprise systems identify and document the functional and physical characteristics of network devices, and control changes to those characteristics. Applying the integration of semantic web and model-driven software development allows for (1) explicitly specifying configurations of network devices with tailor-made languages, (2) for checking the consistency of these specifications (3) for defining a vocabulary to share device specifications across enterprise systems. By managing configurations with consistent and explicit concepts, we reduce cost and risk, and enhance agility in response to new requirements in the telecommunication area. This book examines the synergy between semantic web and model-driven software development. It brings together advances from disciplines like ontologies, description logics, domain-specific modeling, model transformation and ontology engineering to take enterprise computing to the next level.
650 _aSemantic Web.
650 _aSoftware engineering.ᅠ
650 _aModel-driven software architecture.ᅠ
907 _a 005.1 PAR-F
942 _2ddc
999 _c10829
_d10829