In the last few years, several studies have emphasized the use of ontologies as an alternative to organization of the information.
The notion of ontology has become popular in fields such as intelligent information integration, information retrieval on the Internet,…

Takeshi Yoshioka & George Herman., "October 1999.", Includes bibliographical references (p. 24-25).

In this paper, a restricted domain question answering (QA) system is described. The design architecture of this QA system and the features that allow the adaptation of the QA system to the medical domain are also presented. The advantages of…

AbstractObjectiveThe last two decades have seen major advancements in our understanding of some of the most common neurodevelopmental disorders in the field of child neurology. However, in the majority of individual patients, it is still not possible to arrive at…

Decision tree learning algorithms have been successfully used in knowledge discovery. They use induction in order to provide an appropriate classification of objects in terms of their attributes, inferring decision tree rules. This paper reports on the use of ID3…

Siemens and Downes initially received increasing attention in the blogosphere in 2005 when they discussed their ideas concerning distributed knowledge. An extended discourse has ensued in and around the status of ‘connectivism’ as a learning theory for the digital age.…

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Las listas de palabras con sus frecuencias se usan ampliamente en muchos procedimientos de agrupamiento y categorización de textos. Usualmente para la compilación de tales listas se usan las aproximaciones basadas en morfología (como el stemmer de Porter) para unir…

Recent research has identified an extended exchange network in the Japan Sea Rim area extending over 3,000 km and including the mainland. This paper reviews current knowledge about obsidian studies in Hokkaido, a part of this region, and makes proposals…

Associating the pattern in text data with the pattern with time series data is a novel task. In this paper, an approach that utilizes the features of the time series data and domain knowledge is proposed and used to identify…