Mergers and Acquisitions in Information Technology (IT) industry have reached record levels in the last decade. Especially in the fast-growing market of IT, more and more companies merge or acquire for the purpose of gaining access to knowledge, skills, and innovation. However, even in a sector that recognizes the importance of knowledge, where smart people are the competitive edge of a company...

An eye-tracking study examined the involvement of prosodic knowledge--specifically, the knowledge that monosyllabic words tend to have longer durations than the first syllables of polysyllabic words--in the recognition of newly learned words. Participants learned new spoken words (by associating them to novel shapes): bisyllables and onset-embedded monosyllabic competitors (e.g., baptoe and bap...

Existing work in the extraction of commonsense knowledge from text has been restricted to factoids that serve as statements about what may possibly obtain in the world. We present an approach to deriving stronger general claims from large sets of factoids. The idea is to coalesce the observed nominals for a given predicate argument into a few predominant types, obtained asWordNet synsets. The r...

Fuzzy inference models can conduct advanced inference using knowledge which is easily understood by humans. In this paper, we propose a leaning fuzzy inference model. The model can learn with experience data obtained by trial-and-error of a task. The learning of the model is executed after each trial of the task. Hence, it is expected that the achievement rate increases with repetition of the t...

This paper presents a possible solution for the problem of integrating contextual knowledge in the WordNet database. Contextual structures are derived from three sources: (1) minimal contexts-in the form of semantic nets transformations of WordNet glosses; (2) dynamic contexts rendered by webs of lexico-semantic paths revealing textual implied information and (3) static contexts-represented by ...

Our ability to understand language often relies on common-sense knowledge - background information the speaker can assume is known by the reader. Similarly, our comprehension of the language used in complex domains relies on access to domain-specific knowledge. Capturing common-sense and domain-specific knowledge can be achieved by taking advantage of recent advances in open information extract...

We have looked at the process of discovery as an aspect of reasoning about knowledge, particularly in relation to problems of knowledge acquisition or learning. In those problems we have found to be of interest, a body of knowledge to-be-acquired may be infinite. Still, it can be "learned" through discovery of a model that correctly represents the knowledge in some finite way. Realistically, ex...

We present our research on acquiring domain knowledge related to urban vehicular tra c by means of interaction with experts. Such knowledge is needed in knowledge discovery and data mining for approximation of complex vague concepts from the road tra c. According to perception based computing paradigm, this can be done by construction of hierarchical classi ers supported with expert knowledge. ...

Models of the spatial knowledge people acquire from maps and navigation and the procedures required for spatial judgments using this knowledge are proposed. From a map, people acquire survey knowledge encoding global spatial relations. This knowledge resides in memory in images that can be scanned and measured like a physical map. From navigation, people acquire procedural knowledge of the rout...

Curriculum Evaluation of Teacher Training Courses in Education G. Ahmadi, Ph. D. The two year teacher training programs in Iran include courses in education that form the very foundation of the professional performance of the future teachers. As such, the curricula of these courses need to be evaluated in order to determine their probable shortcomings and take the necessary remedial steps...