By Roger Y. Lee (eds.)
This ebook provides the chosen result of the 1st overseas Symposium on utilized desktops and knowledge know-how (ACIT 2013) hung on August 31 – September four, 2013 in Matsue urban, Japan, which introduced jointly researchers, scientists, engineers, practitioners and scholars to debate all points of utilized desktops & info know-how and its useful demanding situations. This ebook contains the easiest 12 papers provided on the convention, that have been selected in line with evaluate rankings submitted by means of participants of this system committee and underwent additional rigorous rounds of review.
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The booklet offers an interdisciplinary method of wisdom illustration and the remedy of semantic phenomena of average language, that is located among man made intelligence, computational linguistics, and cognitive psychology. The proposed strategy relies on Multilayered prolonged Semantic Networks (MultiNets), that are used for theoretical investigations into the semantics of average language, for cognitive modeling, for describing lexical entries in a computational lexicon, and for average language processing (NLP).
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In fact, repository managers at Otaru University of Commerce found that there exists some amount of accesses to a quite old paper published as a departmental bulletin chapter  after Fukushima nuclear disaster followed by the big earthquake in Japan. 2 Thus, it is important to understand behavior of non-researchers in order to provide relevant information for them at scholarly repositories. For this direction, it is the first step to categorize search queries of non-researchers. To do so, in this chapter, we consider to find related query words, from the viewpoint of non-researchers, using log data.
A player gives an audience some impression. The pauses in speeches and music pieces are of this kind of pause. The latter is not for anyone. The pause of the knitting of wire netting is of this type of pause. A skilled person does not intend to give any impression to anyone. 2 Deriving Patterns from Time-Series Data For the purpose of deriving patterns from time-series data, similarity of two sequences of data must be judged. There are two major approaches in judging the similarity of the sequences.
It may be one of the skills in tea ceremony. The method described in this chapter could derive fundamental movements of tea ceremony. These are in both of normal pauses and short ones. The normal pauses can be identified by using the fact that the host straightens himself or bows in the normal pauses . Therefore, we could distinguish the fundamental movements of the normal pauses from those of the short ones. Fundamental movements could easily be obtained. We treat only one kind of speed, the sum of the speeds of the parts of a body.