Deep unsupervised hashing has been appreciated in the regime of image retrieval. However, most prior arts failed to detect semantic components and their relationships behind images, which makes them lack discriminative power. To make up defect, we propose a novel Semantic Components Hashing (DSCH), involves common sense that an normally contains bunch with homology co-occurrence relationships. ...

Automated timetabling is a research domain that has occupied many researchers over the last 50 years. Several algorithms have proven to be applicable to timetabling but they are nearly all designed to address specific problems. The framework presented in this paper is a step towards a generic semi-automatic timetabling tool. The basis of the framework is an ontology for timetabling that we desi...

The problem of the meaning of the text the end and product of speech activity, Is a central one both for theoretIcal linguistics, and for the applied fields connected with itp such as artificial intelligence, question answ6ring, man-machlne communication, etc. The meaning of the text or, speaking more technically, the semantic representation is not, as it has been considered until recently , a ...

In this paper an approach in realization of analogy-based reasoning in semantic networks is presented. New semantic model, called Active Semantic Model (ASM), was used. Core of the process is performed by ASM’s association (semantic relation) plexus upgrading procedure based on recognition and determining similarity between association plexuses. Determining similarity between association plexus...

Using data from Reddy et al. (2011), we present a series of regression models of semantic transparency in compound nouns. The results indicate that the frequencies of the compound constituents, the semantic relation between the constituents, and metaphorical shift of a constituent or of the compound as a whole, all contribute to the overall perceived level of transparency. While not proposing a...

This paper describes an approach for identifying Ontology components by using Self-Organizing Maps (SOM). Our system represents the knowledge contained in a particular domain, any kind of digital archive, by assembling and displaying its ontology components. This novel approach provides a solution to the problem of semi-automatic ontology construction, supports mechanisms that explore domains, ...

The paper is focused on classes of lexical units which arise as a result of derivational processes – word formation and semantic transfers, acting either in isolation or together, on the basis of common semantic foundations that bind targets and sources of derivation. The lexical items which constitute the classes under study vary in their denotative characteristics and due to their categ...