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008 171004s2018 gw | s |||| 0|eng d
020 _a9783319666556
024 7 _a10.1007/978-3-319-66655-6
_2doi
050 4 _aQ342
_b.N354 2018 EB
100 1 _aNalepa, Grzegorz J
_eautor
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_1http://viaf.org/viaf/249900894/
245 1 0 _aModeling with Rules Using Semantic Knowledge Engineering
_cby Grzegorz J. Nalepa.
264 1 _aCham
_bSpringer International Publishing
_c2018
300 _a1 recurso en línea (XXVI, 435 páginas 130 ilustraciones, 35 ilustraciones a color)
347 _atext file
_bPDF
490 0 _aIntelligent Systems Reference Library
_x1868-4394
_v130
505 0 _aPart I Domain of Rule-Based Systems -- Rules as a Knowledge Representation Paradigm -- Knowledge Engineering with Rules -- Selected Applications of Rule -- Part II Formal Models for Rules -- Formalism for Description of Decision Rules -- Formalized Integration of Rules and Processes -- Prototyping Structure of Rule Bases -- Handling Uncertainty in Rules -- Formalizing Interoperability in Rule Bases -- Part III Practical Studies in Semantic Knowledge Engineering -- Semantic Knowledge Engineering Approach -- Rule Interoperability with Expert System Shells -- Visual Software Modeling with Rules -- Using Rules to Support Software Testing -- Integrating Business Process Models with Rules -- Rule-Based Systems and Semantic Web -- Collaborative Knowledge Engineering with Wikis -- Designing Robot Control Logic with Rules -- Rules in Mobile Context-Aware Systems -- Index.
520 3 _aThis book proposes a consistent methodology for building intelligent systems. It puts forward several formal models for designing and implementing rules-based systems, and presents illustrative case studies of their applications. These include software engineering, business process systems, Semantic Web, and context-aware systems on mobile devices. Rules offer an intuitive yet powerful method for representing human knowledge, and intelligent systems based on rules have many important applications. However, their practical development requires proper techniques and models - a gap that this book effectively addresses.
650 7 _Inteligencia artificial
650 7 _aBases de datos
_2embne
_9138966
776 0 8 _iEdición impresa:
_z9783319666549
776 0 8 _iEdición impresa:
_z9783319666563
776 0 8 _iEdición impresa:
_z9783319882949
856 4 0 _uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-319-66655-6
_zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
490 0 _aEngineering (Springer-11647)
988 _aEBSPRINGER_2018
998 _b01/2019
_dz
_ep
_feng
_ggw
_h0
999 _c102756
_d102756
_x1