extended abstract 1. introduction the term “state” owing to its simultaneous presence in two epistemological and scientific fields named political science and political geography has assumed multiple meanings, applications, natures and synonyms, in a way that it has stirred a kind of chaos and lack of consensus, especially among political geographers. according to various texts, “state” is an a...

Categories are not invariant. This paper attempts to explore the dynamic nature of semantic category, in particular, that of fashion language, based on the cognitive theory of Dawkins’ memetics, a new theory of cultural evolution. Semantic attributes of linguistic memes decrease or proliferate in replication and spreading, which involves a dynamic development of semantic category. More specific...

The issue of semantic interoperability pervades distributed systems whose components are designed independently. For example, when a source intends 70 to mean “70 meters, with 20% error”, the receiver must not interpret the result as “70 feet, exactly”. We examine semantic interoperability problems in a distributed object management environment, i.e., for a system of distributed objects and ser...

The Semantic Web requires the ability to express information in a precise-interpretable form so that software sharing data can also gain an understanding of the meaning of the terms describing the data. Referred to as the third component of the Semantic Web, ontologies are the means by which separate web components can share a common language and communicate in order to work together efficientl...

Semantic dictionaries are widely used in natural language processing studies. Broad range of methods have been proposed to construct semantic dictionaries until this time. In this study, a brief summary for semantic relation pair extraction is introduced. An overview of selected approaches is given and results are compared to each other for hyponymy, holonymy, and antonymy relations.

Semantic relatedness of terms represents similarity of meaning by a numerical score. On the one hand, humans easily make judgements about semantic relatedness. On the other hand, this kind of information is useful in language processing systems. While semantic relatedness has been extensively studied for English using numerous language resources, such as associative norms, human judgements and ...

Selecting a suitable set of available software components for a component-based software system is a laborious task, often too complex to perform manually. We present a novel approach to automatic component selection that respects dependencies between the required components, an issue not considered by existing approaches. Our approach, which utilizes semantic technologies, is based on comprehe...

We present a demo of SCARLET, a technique for discovering relations between two concepts by harvesting the Semantic Web, i.e., automatically finding and exploring multiple and heterogeneous online ontologies. While we have primarily used SCARLET’s relation discovery functionality to support ontology matching and enrichment tasks, it is also available as a stand alone component that can potentia...

This paper describes our system for SemEval-2010 Task 8 on multi-way classification of semantic relations between nominals. First, the type of semantic relation is classified. Then a relation typespecific classifier determines the relation direction. Classification is performed using SVM classifiers and a number of features that capture the context, semantic role affiliation, and possible pre-e...