In our research we explore the benefits resulting from the application of Semantic Web technologies in the recruitment domain. We use currently available standards and classifications to develop a human resource ontology which gives us means for semantic annotation of job postings and applications. Furthermore, we outline the process of semantic matching which improves the quality of query resu...

the semantic network of the preposition 'ba' in persian: a cognitive study as one of the widely used prepositions in persian, 'ba' (i.e. with) may also function as an adjective particle or affix. this paper studies various meanings of preposition 'ba' within a cognitive lexical semantics framework. it aims to show that the various meanings of this preposition do not emerge randomly. drawing the...

The present research investigates semantic priming with an adapted version of the word fragment completion task. The letter decision task, as we will call it, holds some advantages over the traditionally used lexical decision task in that it eliminates retrospective semantic matching effects, it avoids the need to construct pseudowords, it is more engaging for participants and it enhances seman...

We address the problem of semantic coordination, namely finding an agreement between the meanings of heterogeneous semantic models. We propose a new approximation method to discover and assess the “strength” (preciseness) of semantic mappings between concepts from different concept hierarchies. We apply this method in the music domain. We present the results of preliminary tests on mapping two ...

Semantic lexical matching is a prominent subtask within text understanding applications. Yet, it is rarely evaluated in a direct manner. This paper proposes a definition for lexical reference which captures the common goals of lexical matching. Based on this definition we created and analyzed a test dataset that was utilized to directly evaluate, compare and improve lexical matching models. We ...