The focus of this paper is on the systemization of the acquisition of domain knowledge during the process of reverse engineering legacy systems into UML. The domain knowledge of a legacy system is derived from this system’s data environment, input and output data, documents, stakeholders, specific programming language(s) used, source code, and underlying operating system. This knowledge is appl...

We present a practical and general methodology that simplifies the task of acquiring and formulating qualitative knowledge for constructing probabilistic graphical models (PGMs). The methodology efficiently captures and communicates expert knowledge, and has significantly eased the model development process for three real-world problems in the domain of robotics.

Information systems development and use involves people in action. Still, information systems research is dominated by ideals largely fetched from Newtonian physics. This leaves no room for human innovative action. Its only role becomes a disturbing factor in the general laws aimed at. The problem is, it largely ruins the possibilities of finding important general laws. A far bigger problem wou...

Increasingly, companies are drawing on capacities provided by external consultants to design and execute strategic IT initiatives. However, despite evidence of the impact of such services on IT performance, little is still known about the roles external consultants serve in relation to specific strategic IT initiatives and how companies can draw effectively on their services. This paper investi...

This chapter introduces inter-organizational knowledge acquisition and sharing as a means to facilitate benchlearning within the field of human resource management. The chapter presents an interactive web-based portal and demonstrates how valuable knowledge can be released from organizational “silo centers” and be passed around to the benefit of both organizations and academia. In general, huma...

In this paper, we employ the fuzzy repertory table technique to acquire the necessary domain knowledge for software agents to act as sellers and buyers using a bilateral, multi-issue negotiation model that can achieve optimal results in semi-competitive environments. In this context, the seller’s domain knowledge that needs to be acquired is the rewards associated with the products and restrict...

One approach to learning control knowledge from a problem solving trace consists of generating explanations for the local decisions made during the search process. These explanations become control rules that are used in future situations to prune the search space. Strong deductive approaches invest a substantial explanation eeort to produce correct control rules from a single problem solving t...

While artificial intelligence is successful in many applications that cover specific domains, for many commonsense problems there is still a large gap with human performance. Automated sentiment analysis is a typical example: while there are techniques that reasonably aggregate sentiments from texts in specific domains, such as online reviews of a particular product category, more general model...

The availability of high-quality metadata is key to facilitating discovery in the large variety of scientific datasets that are increasingly becoming publicly available. However, despite the recent focus on metadata, the diversity of metadata representation formats and the poor support for semantic markup typically result in metadata that are of poor quality. There is a pressing need for a meta...

As one of the most complex and advanced forms of Internet information systems, digital libraries serve as an increasingly important channel to a vast array of information sources and services. However, from the standpoint of satisfying human’s information needs, the current digital library systems suffer from the following two shortcomings: (i) inadequate strategic level cognition support; (ii)...