What is an adequate philosophy for knowledge management for an ontologist working in information science? I will contend that the relevant part of knowledge management, namely the theory of knowledge representation, lacks proper foundations. In particular, I will criticize the traditional philosophical approach to knowledge representation, which I call pragmatist conceptualism. I argue on the o...

Adaptive knowledge modeling is an approach to extend the abilities of the Object-Oriented World Model, a system for environment representation, for allowing it to cope with open environments in which unforeseen entities can occur. In previous work, adaptive knowledge management was introduced and a quantitative measure rating the quality of domain models was presented. In this contribution, the...

The efficient management of experience knowledge is vital in today’s knowledgebased economy. This paper is concerned with proposing a model for software experience knowledge. The model is aimed to represent the backend of knowledge management tools that support organisational learning activities in a typical software organisation. Generic knowledge models have failed to produce good quality sof...

Emotion knowledge is a fundamental part of human commonsense knowledge. For the lack of solid knowledge extraction work in this domain, this paper focuses on acquiring and representing the antecedent situations of various emotions as well as the emotion subjects’ interpretation to these situations in real-world emotion-eliciting scenarios. After a comprehensive analysis on the meaning structure...

This paper reviews the document concept and compares analogue and digital documents. It introduces knowledge models as a superset of documents and explains the benefits of using knowledge models in Personal Knowledge Management (PKM).

For improving available and reusable of knowledge in fish disease diagnosis (FDD) domain and facilitating knowledge acquisition, an ontology model of FDD knowledge was developed based on owl according to FDD knowledge model. It includes terminology of terms in FDD knowledge and hierarchies of their class.

In this paper, we describe a novel approach to the generation of reusable computer-based assets to support the production and customis ation of learning materials for user and environment constrained learning scenarios. We present a framework for learning which proposes that navigating within a space of many models overcomes limitations inherent in mono-model approaches to learning contextualis...

The paper provides a survey of semantic methods for solution of fundamental tasks in mathematical knowledge management. Ontological models and formalisms are discussed. We propose an ontology of mathematical knowledge, covering a wide range of fields of mathematics. We demonstrate applications of this representation in mathematical formula search, and learning.

central and, in some ways, most familiar concepts in AI, the most fundamental question about it—What is it?—has rarely been answered directly. Numerous papers have lobbied for one or another variety of representation, other papers have argued for various properties a representation should have, and still others have focused on properties that are important to the notion of representation in gen...

The important role given to domain ontologies for knowledge representation implies increasing need for development and maintenance of them. However, we have a scarcity of tools supporting the life cycle from creation to management and adaptation. Our research group focuses on developing an autonomic process for knowledge representation through a systematic evaluation and redesign of ontologies....