In this paper, we describe the MX-Onto ontology for semantic classification of music resources based on their context. The context representation is realized by means of an OWL ontology that describes music information and that defines rules and classes for a flexible classification capturing the subjective interpretation of the genre. The use of the MX-Onto knowledge for supporting music resou...

In this study, we suggest a useful method to classify web resources based on social tag information generated by users. We attempted to examine whether social tags could be a tool of classifying websites in a certain domain. We applied two statistical methods, including principal component analysis (PCA) and hierarchical clustering for classifying websites in the domain of consumer health infor...

The contents of many valuable web-accessible databases are only available through search interfaces and are hence invisible to traditional web “crawlers.” Recently, commercial web sites have started to manually organize web-accessible databases into Yahoo!-like hierarchical classification schemes. Here, we introduce QProber, a modular system that automates this classification process by using a...

In this paper, we describe the role and the use of WORDNET as an external lexical resource in a methodology for matching hierarchical classification schemas. The main difference between our methodology and others which were presented is that we pay a lot of effort in eliciting the meaning of the structures we match, and we do this by using extensively lexical knowledge about the words occurring...

The goal of the DARPA MADCAT (Multilingual Automatic Document Classification Analysis and Translation) Program is to automatically convert foreign language text images into English transcripts, for use by humans and downstream applications. The first phase the program focuses on translation of handwritten Arabic documents. Linguistic Data Consortium (LDC) is creating publicly available linguist...

This paper describes a method to automatically create dialogue resources annotated with dialogue act information by reusing existing dialogue corpora. Numerous dialogue corpora are available for research purposes and many of them are annotated with dialogue act information that captures the intentions encoded in user utterances. Annotated dialogue resources, however, differ in various respects:...

In this paper, we concentrate on the 3 of the tracks proposed in the NTCIR 8 MOAT, concerning the classification of sentences according to their opinionatedness, relevance and polarity. We propose a method for the detection of opinions, relevance, and polarity classification, based on ISR-WN (a resource for the multidimensional analysis with Relevant Semantic Trees of sentences using different ...