This study examines how firms choose organizational form for their R&D alliances. Encouraging cooperation in these alliances is often challenging, given the difficulties in knowledge sharing between partners and protecting the property rights over partner knowledge. Interestingly, knowledge based and transaction cost perspectives generate different hypotheses on alliance organization choice in ...

We introduce the ML-Peba system, a system which generates textual descriptions of animals in both English and Spanish from an abstract knowledge base. The system relies upon a phrasal lexicon for linguistic realization. The paper discusses the pros and cons of this approach for multilingual generation, suggesting that its use enables a more language-independent knowledge representation than mos...

Often the users of a semantic search application are facing the problem that they do not find appropriate terms for their search. This holds especially if the data to be searched is from a technical field in which the user does not have expertise. In order to support the user finding the results he seeks, we developed a domainspecific ontology and implemented it into a search application. The o...

An important aspect of context in medical reasoning is the notion of "variation" of a chunk of knowledge according to various contingencies, such as course of patient's disease, response to therapies, or team specificity. Our position is to represent these variations implicitly, by proposing mechanisms to factor knowledge and to refine it. We propose three mutually compatible mechanisms that ef...

Probabilistic logics are receiving a lot of attention today because of their expressive power for knowledge representation and learning. However, this expressivity is detrimental to the tractability of inference, when done at the propositional level. To solve this problem, various lifted inference algorithms have been proposed that reason at the first-order level, about groups of objects as a w...

Two of the maln lssues In artlflclal lntelllgence today are knowledge acqulsltlon and knowledge representatlon. The Dryden Fllght Research Faclllty of NASA's Ames Research Center lS presently lnvolved In the deslgn and lmplementatlon of an expert system fllght status monltor that wlll provlde expertlse and knowledge to ald the fllght systems englneer In monltorlng today's advanced hlgh-performa...

Knowledge-based systems have a wide commercial applicability. However, a credible validation methodology for knowledge-based systems is currently lacking. Our research addresses the feasibility of partitioning rule-based systems into a number of meaningful units to enhance the comprehensibility, maintainability and reliability of expert systems software. Preliminary results have shown that no s...

A knowledge base about any domain should satisfy some basic properties. One of these properties is completeness. Assuming that a knowledge base is temporal, that is, it contains explicit time references in its rules and facts, we may face a problem of an infinite number of possible premises, as the number of temporal references (e.g. in business documents) is unlimited. A technique for reducing...