Formal semantics and analysis tasks for ME-MAP models

Azzam Maraee, Arnon Sturm

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

3 Scopus citations

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.

Original languageEnglish
Title of host publicationRCIS 2017 - 11th IEEE International Conference on Research Challenges in Information Science - Conference Proceedings
EditorsOscal Pastor, Haralambos Mouratidis, Said Assar
PublisherInstitute of Electrical and Electronics Engineers
Pages234-243
Number of pages10
ISBN (Electronic)9781509054763
DOIs
StatePublished - 23 Jun 2017
Event11th IEEE International Conference on Research Challenges in Information Science - RCIS 2017 - Brighton, United Kingdom
Duration: 10 May 201712 May 2017

Publication series

NameProceedings - International Conference on Research Challenges in Information Science
ISSN (Print)2151-1349
ISSN (Electronic)2151-1357

Conference

Conference11th IEEE International Conference on Research Challenges in Information Science - RCIS 2017
Country/TerritoryUnited Kingdom
CityBrighton
Period10/05/1712/05/17

Keywords

  • Formal Semantics
  • Knowledge Mapping
  • Knowledge Reasoning
  • ME-MAP

ASJC Scopus subject areas

  • Computer Science Applications
  • Information Systems
  • Software

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