In spite of their industrial success, the development of intelligent systems is still a complex and risky task. When building intelligent systems, we see that domain knowledge is often present at different levels of formalization-ranging from text documents to explicit rules. In this paper, we describe the knowledge formalization continuum as a metaphor to help domain specialists during the knowledge acquisition phase. To make use of the knowledge formalization continuum, the agile use of knowledge representations within a knowledge engineering project is proposed, as well as transitions between the different representations, when required. We show that a semantic wiki is a flexible tool for engineering knowledge on the knowledge formalization continuum. Case studies are taken from one industrial and one academic project, and they illustrate the applicability and benefits of semantic wikis in combination with the knowledge formalization continuum.

/pdf/engineering-intelligent-systems-on-the-knowledge-23g1cw3y66.pdf

Engineering intelligent systems on the knowledge formalization continuum

Decision support systems rely on collaborative and episodic participation.Large decision knowledge bases can include varying knowledge representations.We introduce an approach to implement such systems in a coherent manner.The approach is based on semantic technologies and web standards.A case study describes experiences with a decision support system in industrial use for years. The paper describes a new approach of developing and maintaining state-of-the-art decision support systems. Such systems are able to capture the collaborative work on decision problems over time. Due to the complexity of large problem spaces a multi-modal knowledge representation is proposed. For the realization of a multi-modal knowledge base we integrate semantic technologies as a fundamental layer by combining the W3C ontologies PROV-O and SKOS. The approach is demonstrated by an implementation report of an industrially deployed decision support system.

Knowledge-driven systems for episodic decision support

In this paper, we highlight how wikis can be relevant solutions for building applications in domains characterized by a rapid evolution of knowledge. We will point out the capabilities of semantic extension to provide better quality of content, to improve searching, to support complex queries and finally to carry out on different type of users. We detail the architecture of WikiBridge, a semantic wiki, its annotation model and the consistency checking mechanism. A specific section is dedicated to the description of the CARE project and ontology design which is the compulsory foundational knowledge for the application.

Système d'Information pour la production de connaissances : l'approche wiki sémantique.

The development of knowledge systems has been driven by changing approaches, starting with special purpose languages in the 1960s that evolved later to dedicated editors and environments. Nowadays, tools for the collaborative creation and maintenance of knowledge became attractive. Such tools allow for the work on knowledge even for distributed panels of experts and for knowledge at different formalization levels. The paper (tool presentation) introduces the semantic wiki KnowWE, a collaborative platform for the acquisition and use of different types of knowledge, ranging from semantically annotated text to strong problem-solving knowledge. We also report on some current use cases of KnowWE.

/pdf/knowwe-a-wiki-for-knowledge-base-development-1fv46udivi.pdf

KnowWE - A Wiki for Knowledge Base Development.

In this paper, we highlight how wikis can be relevant solutions for building applications in domains characterized by a rapid evolution of knowledge We will point out the capabilities of semantic extension to provide better quality of content, to improve searching, to support complex queries and finally to carry out on different type of users We detail the architecture of WikiBridge, a semantic wiki, its annotation model and the consistency checking mechanism A specific section is dedicated to the description of the CARE project and ontology design which is the compulsory foundational knowledge for the application

/pdf/systeme-d-information-pour-la-production-de-connaissances-l-47oxsz92f6.pdf

Système d'information pour la production de connaissances. L'approche wiki sémantique

The HermesWiki project is a semantic wiki application on Ancient Greek History. As an e-learning platform, it aims at providing students effective access to concise and reliable domain knowledge, that is especially important for exam preparation. In this paper, we show how semantic technologies introduce new methods of learning by supporting teachers in the creation of contents and students in the personalized identification of required knowledge. Therefore, we give an overview of the project and characterize the semi-formalized content. Additionally, we present several use cases and describe the semantic web techniques that are used to support the application. Furthermore, we report on the user experiences regarding the usefulness and applicability of semantic technologies in this context.

/pdf/taking-owl-to-athens-semantic-web-technology-takes-ancient-208mie833j.pdf

Taking OWL to athens: semantic web technology takes ancient greek history to students

/pdf/taking-owl-to-athens-semantic-web-technology-takes-ancient-3s6tj46xsy.pdf

Lorenz Haas

Papers

Taking OWL to athens: semantic web technology takes ancient greek history to students

Taking OWL to Athens: Semantic Web Technology takes Ancient Greek History to Students.