In process engineering, as in many other application domains, the domain spe-ciic knowledge is far too complex to be described entirely using description logics. Hence this knowledge is often stored using an object-oriented system, which, because of its high expressive-ness, provides only weak inference services. In particular, the process engineers at RWTH Aachen have developed a frame-like la...

This is a continuing attempt in a series of papers KM 93, Mur 93, Mur 94] to show how computer-represented knowledge can be arranged as elements of an eeectively represented semantic domain in the sense of GS 90]. We present a direct deductive description of the domain, which was deened semantically in KM 93], via the Scott's notion of information system. Also, the internal structure of the con...

We present a massively parallel representation of transitive relations, emphasizing the subclass relation, which extends our previous linear tree representation of class hierarchies. This representation makes use of a grid of processors and distributes information about one class over the processors of one column of the grid. As such, it can deal with a subset of directed acyclic graphs. We pro...

Early attempts to implement systems that understand commonsense knowledge did so for very restricted domains. For example, the Planes system [Waltz, 1978] knew real world facts about a fleet of airplanes and could answer questions about them put to it in English. It had, however, no behaviors, could not interpret the facts, draw inferences from them or solve problems, other than those that have...

A corpus-based knowledge representation system consists of a large collection of disparate knowledge fragments or schemas, and a rich set of statistics computed over the corpus. We argue that by collecting such a corpus and computing the appropriate statistics, corpus-based representation offers an alternative to traditional knowledge representation for a broad class of applications. The key ad...

Clinical trial protocols include detailed temporal constraints on treatment and associated tasks. Unlike health-care guidelines, protocols are highly prescriptive. Therefore, informatics applications that enforce such temporal constraints are more directly useful with protocols than with guidelines. Although there are some temporal knowledge representation efforts for health-care guidelines, we...

The aim of this article is to present a design of a Medical Knowledge Representation System (MEKRES). The system automatically offers relevant formalized knowledge by extended GLIF (Guidelines Interchange Format) models to participants (patient, physician, operator, ..) on the basis of acquired data. This selection algorithm is based on key attributes and cooperation with knowledge ontologies.

As a backbone of the Semantic Web, Ontologies provide a shared understanding of a domain of text. Ontologies, with their appearance, usage, and classification address for concrete ontology language which is important for the Semantic Web. They can be used to support a great variety of tasks in different domains such as knowledge representation, natural language processing, information retrieval...

The aim of this study is to examine ways of representing emotion by exploring one emotion (anger) in detail. Various explanations and theories on anger are presented along with a proposed method for representing anger. This framework could then be expanded and applied to other emotions.

A conceptual graph (CG) is a graph representation for logic based on the semanticnetworks of artificial intelligence and the existential graphs of Charles Sanders Peirce.Several versions of CGs have been designed and implemented over the past thirtyyears. The simplest are the typeless core CGs, which correspond to Peirce’s originalexistential graphs. More common are the exte...