On Problems with the Knowledge Level Perspective

Schreiber, Guus; Akkermans, Hans; Wielinga, B.J.

doi:10.1007/978-1-4471-1852-7_19

Cited by 18 publications

(11 citation statements)

References 5 publications

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“…In particular, the control-flow configuration component, which represents the run-time implementation of the method, allows us to modularly manipulate knowledge-leuel control knowledge. 25 In addition, the interface-specification component allows the separation of the execution portion of the method from the discourse portion. This separation is crucial in a system such as PROT~GB-II that needs to generate knowledge editors, which are essentially interfaces between users and knowledge bases.…”

Section: Discussionmentioning

confidence: 99%

Modeling tasks with mechanisms

Puerta

Musen

1993

Int. J. Intell. Syst.

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All of the buildings and all of the cars were once just a dream in somebody's head -Peter Gabriel, "Mercy Street," 1986Building a problem solver and acquiring the knowledge needed to operate it are the two central goals of knowledge engineering. To achieve these goals, knowledge engineers construct models of the domain and of the task of interest. The various approaches used for modeling, however, have so far failed to define methods and techniques that can be applied across domains and tasks, and to produce models that can be reused in future applications. In this article, we propose that both of these objectives can be achieved by the use of building blocks called mechanisms. We examine the composition of mechanisms and also show how these mechanisms can be manipulated to construct problemsolving methods. We present PROT~GC-II, a knowledge-acquisition shell that uses problem-solving methods to drive the modeling of tasks, the automatic generation of knowledge-acquisition tools, and the control flow of the problem solver. The modeling of tasks, within the context of P R O T !~G~-I I , is illustrated with two examples: one from the game domain and another from the medical-therapy domain. In addition, we introduce the conceptual basis for a library of mechanisms that serves as a repository of reusable knowledge components.

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Section: Discussionmentioning

confidence: 99%

Modeling tasks with mechanisms

Puerta

Musen

1993

Int. J. Intell. Syst.

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“…The bottom-up method starts with the most specific classes and then groups them into more general concepts [3,4]. The top-down method starts with the definition of the most general concepts and then divides these into detailed subconcepts [5]. The middle-out method starts with certain middle-level concepts and then applies the bottom-up method or the top-down method as appropriate [6].…”

Section: Previous Ontology Building Methodologymentioning

confidence: 99%

A Practical Military Ontology Construction for the Intelligent Army Tactical Command Information System

Yoo

2014

INT J COMPUT COMMUN, Int. J. Comput. Commun. Control

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The purpose of this research is to construct a military ontology as the core element for implementing the intelligent Army Tactical Command Information System (ATCIS). Using the military ontology, the system can automatically understand and manage the meaning of military information in the system, and hence it can provide a commander with military knowledge for decision making. To construct the military ontology, we define the core concepts of the ontology based on terms extracted from the ATCIS database and complete the ontology by using the mixed ontology building methodology (MOBM). In addition, we implement intelligent ATCIS as a prototype that provides a military concept navigation service and commanders' decision support service to demonstrate how to use the military ontology in practice.

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“…To this end, KADS provides a general framework: it distinguishes various categories or "layers" of knowledge (domain, inference, task and strategic knowledge) and provides a vocabulary for further characterising different types and roles of knowledge within these categories and for the links between them. We will not further discuss here the KADS framework but refer to the extensive literature, e.g., (Wielinga and Breuker, 1986;Breuker and Wielinga, 1989;Schreiber et-al., 1991).…”

Section: Introduction: the Role Of Formal Methods In Conceptual Modelmentioning

confidence: 99%