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001 978-3-319-66655-6
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020 _a9783319666556
_9978-3-319-66655-6
024 7 _a10.1007/978-3-319-66655-6
_2doi
050 4 _aQ342
072 7 _aUYQ
_2bicssc
072 7 _aTEC009000
_2bisacsh
072 7 _aUYQ
_2thema
082 0 4 _a006.3
_223
100 1 _aNalepa, Grzegorz J.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_954750
245 1 0 _aModeling with Rules Using Semantic Knowledge Engineering
_h[electronic resource] /
_cby Grzegorz J. Nalepa.
250 _a1st ed. 2018.
264 1 _aCham :
_bSpringer International Publishing :
_bImprint: Springer,
_c2018.
300 _aXXVI, 435 p. 130 illus., 35 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aIntelligent Systems Reference Library,
_x1868-4408 ;
_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 _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 0 _aComputational intelligence.
_97716
650 0 _aArtificial intelligence.
_93407
650 0 _aControl engineering.
_931970
650 1 4 _aComputational Intelligence.
_97716
650 2 4 _aArtificial Intelligence.
_93407
650 2 4 _aControl and Systems Theory.
_931972
710 2 _aSpringerLink (Online service)
_954751
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9783319666549
776 0 8 _iPrinted edition:
_z9783319666563
776 0 8 _iPrinted edition:
_z9783319882949
830 0 _aIntelligent Systems Reference Library,
_x1868-4408 ;
_v130
_954752
856 4 0 _uhttps://doi.org/10.1007/978-3-319-66655-6
912 _aZDB-2-ENG
912 _aZDB-2-SXE
942 _cEBK
999 _c79420
_d79420