Configuration problems are a thriving application area for declarative knowledge representation that experiences a constant increase in size and complexity of knowledge bases. A key issue in this context is the integrated support of configuration knowledge base development and maintenance. This paper presents an integrated development environment consisting of three major components, namely a d...

VERBMOBIL is a speech-to-speech translation system for spoken dialogues between two speakers. The application scenario is appointment scheduling for business meetings, with spoken dialogues between two speakers. Both dialogue participants have at least a passive knowledge of English which serves as intermediate language. The transfer directions are German to English and Japanese to English. A s...

Organizational risk management should not only rely on protecting data and information but also on protecting knowledge which is underdeveloped in many cases or measures are applied in an uncoordinated, dispersed way. Therefore, we propose a consistent top-down translation from the organizational risk management goals to implemented controls to overcome these shortcomings. Our approach adopted ...

Ontology-based knowledge management systems enable the automatic discovery, sharing and reuse of structured data sources on the semantic web. With the emergence of multilingual ontologies, accessing knowledge across natural language barriers has become a pressing issue for the multilingual semantic web. In this paper, a semantic-oriented cross-lingual ontology mapping (SOCOM) framework is propo...

The paper proposes a new knowledge representation language, called DLP, which extends disjunctive logic programming (with strong negation) by inheritance. The addition of inheritance enhances the knowledge modeling features of the language providing a natural representation of default reasoning with exceptions. A declarative model-theoretic semantics of DLP is provided, which is shown to genera...

Building on the well-established premise that reliable machine translation requires a significant degree of. text comprehension, this paper presents a recent advance in multi-lingual knowledgebased machine translation (KBMT). Unlike previous approaches, the current method provides for separate syntactic and semantic knowledge sources that are integrated dynamically for parsing and generation. S...

Putting health theories, research and knowledge into practice is a challenge referred to as the knowledge-toaction gap. Knowledge translation (KT), and its related concepts of knowledge mobilization, implementation science and research impact, emerged to mitigate this gap. While the social interaction view of KT has gained currency, scholars have not easily made a link between KT and the concep...