000 03455nam a22005055i 4500
001 978-3-319-03949-7
003 DE-He213
005 20170628034105.0
007 cr nn 008mamaa
008 140215s2014 gw | s |||| 0|eng d
020 _a9783319039497
_9978-3-319-03949-7
024 7 _a10.1007/978-3-319-03949-7
_2doi
050 4 _aQ342
072 7 _aUYQ
_2bicssc
072 7 _aCOM004000
_2bisacsh
082 0 4 _a006.3
_223
100 1 _aJanjua, Naeem Khalid.
_eauthor.
245 1 2 _aA Defeasible Logic Programming-Based Framework to Support Argumentation in Semantic Web Applications
_h[electronic resource] /
_cby Naeem Khalid Janjua.
264 1 _aCham :
_bSpringer International Publishing :
_bImprint: Springer,
_c2014.
300 _aXVII, 301 p. 110 illus., 4 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 _aSpringer Theses, Recognizing Outstanding Ph.D. Research,
_x2190-5053
505 0 _aProblem Definition -- Solution Overview -- Argumentation-enabled Web-based Intelligent Decision Support System -- Enterprise Knowledge Integration through Argumentation enabled Intelligent Decision Support Systems -- Process Map Discovery from Business Policies: A Knowledge Representation approach with Argumentative Reasoning -- Validation and Evaluation of GF@SWA -- Recapitulation and Future Work.
520 _aThis book reports on the development and validation of a generic defeasible logic programming framework for carrying out argumentative reasoning in Semantic Web applications (GF@SWA). The proposed methodology is unique in providing a solution for representing incomplete and/or contradictory information coming from different sources, and reasoning with it. GF@SWA is able to represent this type of information, perform argumentation-driven hybrid reasoning to resolve conflicts, and generate graphical representations of the integrated information, thus assisting decision makers in decision making processes. GF@SWA represents the first argumentative reasoning engine for carrying out automated reasoning in the Semantic Web context and is expected to have a significant impact on future business applications. The book provides the readers  with a detailed and clear exposition of different argumentation-based reasoning techniques, and of their importance and use in Semantic Web applications. It addresses both academics and professionals, and will be of primary interest to researchers, students and practitioners in the area of Web-based intelligent decision support systems and their application in various domains.
650 0 _aEngineering.
650 0 _aData mining.
650 0 _aArtificial intelligence.
650 0 _aOperations research.
650 1 4 _aEngineering.
650 2 4 _aComputational Intelligence.
650 2 4 _aData Mining and Knowledge Discovery.
650 2 4 _aOperation Research/Decision Theory.
650 2 4 _ae-Commerce/e-business.
650 2 4 _aArtificial Intelligence (incl. Robotics).
710 2 _aSpringerLink (Online service)
773 0 _tSpringer eBooks
776 0 8 _iPrinted edition:
_z9783319039480
830 0 _aSpringer Theses, Recognizing Outstanding Ph.D. Research,
_x2190-5053
856 4 0 _uhttp://dx.doi.org/10.1007/978-3-319-03949-7
912 _aZDB-2-ENG
999 _c18242
_d18242