Knowledge Representation with Ontologies: The Present and Future

Recently, we have seen an explosion of interest in ontologies as artifacts to represent human knowledge and as critical components in knowledge management, the semantic Web, business-to-business applications, and several other application areas. Various research communities commonly assume that ontologies are the appropriate modeling structure for representing knowledge. However, little discussion has occurred regarding the actual range of knowledge an ontology can successfully represent

Problem Solving Evolutionary Method for Ontology Knowledge Representation with Protégé-2000

This paper studies the knowledge representation with ontology method in the Protégé 2000 system. We first analyzed the various ontological methods for knowledge representation. Then we described the OWL method used in Protégé 2000 for knowledge representation. We proposed the new method named problem-solving evolutionary method (PSEM) for knowledge representation in which it is based the OWL of Protégé 2000. Then we design the interface between the Racer inference engine and the Protégé 2000. Based on the interface built, we can use the Racer inferring engine to reasoning the knowledge. We use the PSEM to experiment the professional domain knowledge of MIS in which it is based undergraduate level. Experiments have shown that PSEM based on the Protégé 2000 is able to represent some domain knowledge well and built knowledge with OWL can be inferred by the Racer

A guided tour through the data mining jungle

An important success factor for the field of KDD lies in the development and integration of methods for supporting the construction and execution of KDD processes. Crucial aspect

Milestones in Software Engineering and Knowledge Engineering History: A Comparative Review

We present a review of the historical evolution of software engineering, intertwining it with the history of knowledge engineering because “those who cannot remember the past are condemned to repeat it.” This retrospective represents a further step forward to understanding the current state of both types of engineerings; history has also positive experiences; some of them we would like to remember and to repeat. Two types of engineerings had parallel and divergent evolutions but following a similar pattern. We also define a set of milestones that represent a convergence or divergence of the software development methodologies. These milestones do not appear at the same time in software engineering and knowledge engineering, so lessons learned in one discipline can help in the evolution of the other one

Reuse of Problem-Solving Methods and Family Resemblances

In the last years a common notion of a Problem-Solving Method (PSM) emerged from different knowledge engineering frameworks. As a generic description of the dynamic behaviour of knowledge based systems PSMs are favored subjects of reuse. Up to now, most investigations on the reuse of PSMs focus on static features and methods as objects of reuse. By this, they ignore a lot of information of how the PSM was developed that is, in principle, entailed in the different parts of a conceptual model of a PSM. In this paper the information of the different parts of PSMs is reconsidered from a reuse process point of view. A framework for generalized problem-solving methods is presented that describes the structure of a category of methods based on family resemblances. These generalized methods can be used to structure libraries of PSMs and - in the process of reuse - as a means to derive an incarnation, i.e. a member of its family of PSMs. For illustrating the ideas, the approach is applied to the task rsp. problem type of parametric design