ISSUESIN DISCOVERING KNOWLEDGE IN BIBLIOGRAPHIC databases are addressed. An example of semantic pattern analysis is used to demonstrate the methodological aspects of knowledge discovery in bibliographic databases. The semantic pattern analysis is based on the keywords selected from the documents grouped by bibliographical coupling. The frequency distribution patterns suggest the existence of a ...

We propose a new error correction method of postprocessing For characler recognition which has good performance, even If rhe recognition accuracy is low. In conventional pstproressing, knowledge of grammar and vocabulary is used. However. in the case of low recognition accuracy. that postprocessings can not F r form good correction because there are many candidales for the character string. Our...

Keywords: ontologies < controlled vocabularies < index languages < language types < (language), knowledge acquisition < knowledge engineering < artificial intelligence < computer applications < computer operations < (activities and operations)

Search queries follow a long tail distribution which results in harder management of ad space for sponsored search. During keyword auctions, advertisers also tend to target head query keywords, thereby creating an imbalance in demand for head and tail keywords. This leads to under-utilization of ad space of tail query keywords. In this paper, we have explored a mechanism that allows the adverti...

IntroductIon A large portion of the knowledge of most organizations is contained in electronic documents. For users to get pertinent information from the accumulation of stored documents, they need effective document retrieval systems. Unfortunately, electronic document management has fallen into the same trap that electronic data processing fell into: simply automating what previously was done...

Thisarticlediscusseshowleakageofknowledgecanoccurinvaluecreationnetworksembeddedin knowledge-intensivefirms,andhowacollaborativeapproachcanbeutilizedtominimizeriskand increasesustainability.Forknowledgetobepreservedfromunintentionaloutflow,itsconfidential natureanddescriptionmustbeunderstoodatalllevels.Lossofknowledgecanoccuratanypoint; ...

In information retrieval systems, it is very important that indexing is defined very well by appropriate terms about documents. In this paper, we propose a simple retrieval model based on terms distribution characteristics besides term frequency in documents. We define the keywords distribution characteristics using a statistics, standard deviation. We can extract document keywords that term fr...

This paper proposes an emotion recognition system. Human emotion can be expressed through many kinds of medium such as speech, image, facial expression, and so forth. This paper focuses on the textual data of them. Proposed system is a hybrid system that uses alternatively two methods, keyword-based and machine learning method. Keyword-based methods are traditional approaches using emotional ke...

Accurate and up-to-date knowledge of keywords entered by users who search or provide paedophile content is a key resource for filtering purposes and for monitoring by law enforcement institutions. However, such keywords are often hidden and may change frequently, and our current knowledge about them relies on manual inspection and field expertise. We explore here the possibility to help in impr...

This paper presents a multi-modal featurebased system for extracting salient keywords from transcripts of instructional videos. Specifically, we propose to extract domain-specific keywords for videos by integrating various cues from linguistic and statistical knowledge, as well as derived sound classes and characteristic visual content types. The acquisition of such salient keywords will facili...