Method and Instruments for Modeling Integrated Knowledge

MIMIK (Method and Instruments for Modeling Integrated Knowledge) is a set of tools used to formalize and represent knowledge within organizations. It furthermore supports knowledge creation and sharing within communities of interest or communities of practice. In this paper we show that MIMIK is based on a model theory approach and builds on other existing methods and techniques. We also explain how to use the method and its instruments in order to model strategic objectives, processes, knowledge, and roles found within an organization, as well as relations existing between these elements. Indeed MIMIK provides eight types of models in order to describe what is commonly called know-how, know-why and know-what; it uses matrices in order to formally and semantically link strategic objectives, knowledge and actors. We close this paper with a presentation of a prototype we built in order to demonstrate a technical architecture allowing for knowledge creation, formalization and sharing.knowledge modelling; process modelling; public administration; methodology; knowledge sharing; RSS

Conceptual graph-based knowledge representation for supporting reasoning in African traditional medicine

Although African patients use both conventional or modern and traditional healthcare simultaneously, it has been proven that 80% of people rely on African traditional medicine (ATM). ATM includes medical activities stemming from practices, customs and traditions which were integral to the distinctive African cultures. It is based mainly on the oral transfer of knowledge, with the risk of losing critical knowledge. Moreover, practices differ according to the regions and the availability of medicinal plants. Therefore, it is necessary to compile tacit, disseminated and complex knowledge from various Tradi-Practitioners (TP) in order to determine interesting patterns for treating a given disease. Knowledge engineering methods for traditional medicine are useful to model suitably complex information needs, formalize knowledge of domain experts and highlight the effective practices for their integration to conventional medicine. The work described in this paper presents an approach which addresses two issues. First it aims at proposing a formal representation model of ATM knowledge and practices to facilitate their sharing and reusing. Then, it aims at providing a visual reasoning mechanism for selecting best available procedures and medicinal plants to treat diseases. The approach is based on the use of the Delphi method for capturing knowledge from various experts which necessitate reaching a consensus. Conceptual graph formalism is used to model ATM knowledge with visual reasoning capabilities and processes. The nested conceptual graphs are used to visually express the semantic meaning of Computational Tree Logic (CTL) constructs that are useful for formal specification of temporal properties of ATM domain knowledge. Our approach presents the advantage of mitigating knowledge loss with conceptual development assistance to improve the quality of ATM care (medical diagnosis and therapeutics), but also patient safety (drug monitoring)

Metadata interoperability in public sector information

Over recent years, there has been a worldwide growing need for interoperability among the systems that manage and reuse Public Sector Information. This paper explores the documentation needs for Public Sector Information and focuses on metadata interoperability issues. The research work studies a variety of public sector information metadata standards and guidelines internationally accepted and presents two methodologies to obtain interoperability: The first develops an Application Profile, while the second is based on the semantic integration approach and results in the creation of an ontology. The outcomes of the two approaches are compared under the prism of their scope and usage in terms of interoperability during the metadata integration process

Semantic discovery and reuse of business process patterns

Patterns currently play an important role in modern information systems (IS) development and their use has mainly been restricted to the design and implementation phases of the development lifecycle. Given the increasing significance of business modelling in IS development, patterns have the potential of providing a viable solution for promoting reusability of recurrent generalized models in the very early stages of development. As a statement of research-in-progress this paper focuses on business process patterns and proposes an initial methodological framework for the discovery and reuse of business process patterns within the IS development lifecycle. The framework borrows ideas from the domain engineering literature and proposes the use of semantics to drive both the discovery of patterns as well as their reuse