Astimen's Blog of KM Telecom

Knowledge Management and Business Process Integration Learning

eTOM and Cognitive Problem Solving Method

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eTOM has ontological business processes level dealing with problem solving in each area to deliver product and service based on SLA to customer. Human stores everything in his brain as images format dealing with relationship to other knowledge object in multi layer ontologically. When workflow of work process create a lot of current problems that can be monitored, tracked and managed (Break Through Result) with Business Activity Monitoring (BAM), other Subject Matter Expert (SME) can be aligned to generate solution both of single loop or double loop learning as cognitive process thats flow to accelerate work processes and achievement. eTOM taxonomy that created based on this principles can be use as simple spatial information of problem in all areas and each level to provide knowledge creation in proper shared context of collaborative team learning. This framework can be extend to other related area to create value with leveraging intangible assets components such as employee, organization and customer.

eTOM levels ontologically Knowledge generation

In philosophy, Ontology deals with “the nature and the organization of reality” (Guarino & Giaretta, 1995) or “the science studying of being” (Hendler, 2001). Since there is only one reality, there is only one Ontology that seeks what is there by identifying the types of entities that exist in reality and their relationships (Mark, Smith, Engenhofer, & Hirtle, 2004). Information scientists extend the concept of ontology to what information users will seek from information systems and knowledge management systems. Since users in different domains are likely to look for information about different things, there are many ontologies used in domain applications. In Information Science, ontology is defined as “an explicit specification of a conceptualization” (Gruber, 1993), where a conceptualization is a way of “thinking about a domain” (Uschold, 1998) in terms of concepts and relationships relevant to that domain. Therefore, an ontology is to explicitly and formally describe terms and relationships in a domain, and by doing so, an information can incorporate the domain ontology in data integration processing, search algorithms and analytical methods. (Ontology-driven;Chin-Te Jung, Chih-Hong Sun;p2)

Read Knowledge Engine to Performance Lloyd Baird and John C Henderson Google Book…
Read Introduction to Ontology Engineering Semantic Web Technologies and PDF Slides
Read Visual and spatial analysis by Boris Kovalerchuk, James Schwing Google Book …
Read Problem-solving methods: understanding, description, development, and reuse By Dieter Fensel …
Read Knowledge flow management for distributed team software development Hai Zhuge pdf …
Read Workflow- and agent-based cognitive flow management for distributed team Cooperation Zhuge pdf …
Read Ontology-driven Problem Solving Framework for Spatial Decision Support Systems pdf…
Read Web-based Spatial Decision Support Systems (WebSDSS): Evolution, Architecture, Examples and Challenges pdf …


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