Find a copy online
Links to this item
Find a copy in the library
Finding libraries that hold this item...
|Additional Physical Format:||Print version:
Gómez-Pérez, José Manuel.
Acquisition and understanding of process knowledge using problem solving methods
|Material Type:||Document, Internet resource|
|Document Type:||Internet Resource, Computer File|
|All Authors / Contributors:||
José Manuel Gómez-Pérez
|ISBN:||9781614993414 1614993416 1306284767 9781306284769|
|Description:||1 online resource (x, 144 pages) : illustrations.|
|Contents:||Title Page; List of figures; List of Tables; Contents; Introduction; State of the Art; The Knowledge Acquisition Bottleneck; From Mining to Modelling: The Knowledge Level; Ontologies and Problem Solving Methods in the Knowledge Acquisition Modelling Paradigm; Knowledge Acquisition by Knowledge Engineers; Knowledge Acquisition by Subject Matter Experts; Process Knowledge and Subject Matter Experts; The Process Knowledge Lifecycle; Conclusions; Work Objectives; Goals and Open Research Problems; Contributions to the State of the Art; Work Assumptions, Hypotheses, and Restrictions. Acquisition of Process Knowledge by SMEsIntroduction; Knowledge Acquisition and Formulation by SMEs in the Halo Project; Knowledge Types in Scientific Disciplines; Domain Analysis; A Comprehensive Set of Knowledge Types in Scientific Disciplines; The Process Metamodel; Process Entities in the Process Metamodel; Problem Solving Methods for the Acquisition of Process Knowledge; A PSM Modelling Framework for Processes; A Method to Build a PSM Library of Process Knowledge; A PSM Library for the Acquisition of Process Knowledge; Enabling SMEs to Formulate Process Knowledge. The DarkMatter Process EditorRelated Work; Representing and Reasoning with SME-authored Process Knowledge; A Formalism for Representing and Reasoning with Process Knowledge; F-logic as Process Representation and Reasoning Language; The Process Frame; Code Generation for Process Knowledge; Synthesis of precedence rules for data flow management; Code Synthesis for Iterative Actions; Soundness and Completeness of Process Models; Optimization of the Synthesized Process Code; Reasoning with Process Models; Analysis of Process Executions by SMEs; Towards Knowledge Provenance in Process Analysis. Problem Solving Methods for the Analysis of Process ExecutionsA Knowledgeoriented Provenance Environment; An Algorithm for Process Analysis Using PSMs; Evaluation; Evaluation of the DarkMatter Process Component for Acquisition of Process Knowledge by SMEs; Evaluation Syllabus; Distribution of the Formulated Processes across the Evaluation Syllabus; Utilization of the PSM Library and Process Metamodel; Usage Experience of the SMEs with the Process Editor; Performance Evaluation of the Process Component; Evaluation of KOPE for the Analysis of Process Executions by SMEs; Evaluation Settings. Evaluation MetricsEvaluation Results; Evaluation Conclusions; Conclusions and Future Research; Conclusions; Future Research Problems; REFERENCES; Appendix. Sample F-logic Code for a Process Model.|
|Series Title:||Studies on the Semantic Web, v. 007.|
|Responsibility:||José Manuel Gómez-Pérez.|