Paper Info
Title
Formal semantics and analysis tasks for ME-MAP models
Abstract
Know-how deals with the knowledge of how to achieve objectives effectively and efficiently. Mapping this knowledge facilitates and encourages understanding domains, learning about problems and solutions, analyzing the trade-offs among these, identifying potential gaps and places for improvements, and reasoning about the existing knowledge. To address these goals we developed a know-how mapping approach - ME-MAP and introduced its abstract and concrete syntax. This paper further equips the modeling/mapping language of the ME-MAP approach with formal semantics and presents related analysis and reasoning tasks, elaborate on these tasks and explain their rationale. These tasks ensure keeping precise, consistent and correct models, enable the extraction of useful knowledge from the model and by this provide an inclusive support to the knowledge stakeholders.
Year
DOI
Venue
2017
10.1109/RCIS.2017.7956542
2017 11th International Conference on Research Challenges in Information Science (RCIS)
Keywords
Field
DocType
ME-MAP,Knowledge Mapping,Formal Semantics,Knowledge Reasoning
Data mining,Abstract and concrete,Computer science,Knowledge engineering,Knowledge extraction,Cognition,Syntax,Semantics,Semantics of logic
Conference
ISSN
ISBN
Citations 
2151-1357
978-1-5090-5477-0
1
PageRank 
References 
Authors
0.36
26
2
Name
Order
Citations
PageRank
Azzam Maraee1858.91
Arnon Sturm241044.76