𝔖 Bobbio Scriptorium
✦   LIBER   ✦

Knowledge-based approach to domain modeling: organizational process modeling application

✍ Scribed by Ranjit Bose; Vijayan Sugumaran


Publisher
Elsevier Science
Year
1996
Tongue
English
Weight
281 KB
Volume
19
Category
Article
ISSN
1084-8045

No coin nor oath required. For personal study only.

✦ Synopsis


An application domain is defined to be a collection of systems that share common characteristics. A domain model is used to capture common characteristics and variations among a family of software systems in a given application domain. From the domain model, target systems can be generated by tailoring the domain model according to the requirements of each target system. Thus, a knowledge engineer can develop the specifications for a target system in terms of the previously specified domain model, and does not have to perform a full systems analysis every time a new target system has to be constructed.

This paper presents the design and application of an intelligent, microcomputer-based group support system used to automate the execution of collaborative organizational processes performed by multiple organizational members. Knowledge-based system technology has been used to construct the domain model of organizational processes and to generate a specific organizational process model from it. The intelligence of the system is demonstrated primarily by the following. First, intelligent software agents, each representing and emulating a human organization member, are used as the basis for the solution design. Second, as a part of the software solution, a knowledge-based requirements elicitation tool (KBRET) has been developed to automate the process of generating the specification for target systems from the domain model. The entire software solution has been implemented using CLIPS (C Language Integrated Production System), an expert system shell developed at NASA/Johnson Space Center.


πŸ“œ SIMILAR VOLUMES


The concept of knowledge in KM: A knowle
✍ Michael Max Evans; Joel Alleyne πŸ“‚ Article πŸ“… 2009 πŸ› John Wiley and Sons 🌐 English βš– 456 KB πŸ‘ 1 views

## Abstract Grounded in a social construction view of knowledge and based on the work of Haridimos Tsoukas and Max Boisot, this paper attempts to extend Colin Reilly's knowledge domain model using a process modeling approach. The objective of this paper is to construct a more comprehensive meta‐und

Applications of knowledge-based artifici
✍ P. M. Watson; K. C. Gupta; R. L. Mahajan πŸ“‚ Article πŸ“… 1999 πŸ› John Wiley and Sons 🌐 English βš– 197 KB πŸ‘ 2 views

This paper expands upon reported methods for utilizing prior knowledge for reducing complexity of input-output relationships that an ANN must learn. Previously, two simple methods, difference method and prior knowledge input method, were demonstrated for new model developments. This paper utilizes k

The One-Class Classification Approach to
✍ Igor I. Baskin; Natalia Kireeva; Alexandre Varnek πŸ“‚ Article πŸ“… 2010 πŸ› Wiley (John Wiley & Sons) 🌐 English βš– 240 KB

## Abstract In this paper, we associate an applicability domain (AD) of QSAR/QSPR models with the area in the input (descriptor) space in which the density of training data points exceeds a certain threshold. It could be proved that the predictive performance of the models (built on the training se

A process-based transfer function approa
✍ Mazdak Arabi; Jennifer S. Stillman; Rao S. Govindaraju πŸ“‚ Article πŸ“… 2006 πŸ› John Wiley and Sons 🌐 English βš– 220 KB

## Abstract Tile‐drain response to rainfall events is determined by unsaturated vertical flow to the water table, followed by horizontal saturated water movement. In this study, unsaturated vertical movement from the redistribution of water is modelled using a sharp‐front approximation, and the sat