language users benefit from special phonetic tools in order to communicate linguistic information as well as different emotional aspects and paralinguistic information through daily conversation. having functions in conveying semantic information to listeners, prosodic features form the essential part of linguistic behavour, manipulating  them potentially can play an important role in transmitt...

Software patterns are computing artifacts used to document knowledge that may be reused during software development process. There are several types of patterns, such as analysis, design, and architectural, among others. Design patterns are the most well known by designers, but many of them are described in books and scientific papers, a recurring way of documenting patterns that limits their r...

With the rapid growth of internet technologies, Web has become a huge repository of information and keeps growing exponentially under no editorial control. However the human capability to read, access and understand Web content remains constant. This motivated researchers to provide Web personalized online services such as Web recommendations to alleviate the information overload problem and pr...

We present an unsupervised learning algorithm that mines large text corpora for patterns that express implicit semantic relations. For a given input word pair Y X : with some unspecified semantic relations, the corresponding output list of patterns m P P , , 1 is ranked according to how well each pattern i P expresses the relations between X and Y . For example, given ostrich = X and bird = Y ,...

In this paper, we address the general problem of image/object categorization with a novel approach referred to as Bag-of-Scenes (BoS).Our approach is efficient for low semantic applications such as texture classification as well as for higher semantic tasks such as natural scenes recognition or fine-grained visual categorization (FGVC). It is based on the widely used combination of i) Sparse co...

This paper deals with the semantic representation of user utterances within development of computerized dialogue system intended for city information center. The formalisms for description of natural language are mentioned and verified on user utterances and first dialogue turns within selected domain areas. A parser analyzing the utterance segments according to given rules is presented. Then t...

Mining frequent trees is very useful in domains like bioinformatics, web mining, mining semistructured data, and so on. Existing techniques focus on finding “structural” patterns and ignores the “semantics” that may be associated with the subtrees. In this paper we proposal an algorithm to mine a novel pattern called frequent semantic tree cluster sequences (FRECLE), which captures the frequent...

The authors propose a new method for mining sets of patterns for classification, where patterns are represented as SPARQL queries over RDFS. The method contributes to so-called semantic data mining, a data mining approach where domain ontologies are used as background knowledge, and where the new challenge is to mine knowledge encoded in domain ontologies, rather than only purely empirical data...