In this paper, the system of language and architecture has been studied in three levels of elemental, structural and semantic in cases of traditional and modern mosques in Iran through the method of analyzing the content of texts and in a conceptual model. Then, in a comparative method, the common patterns of these systems have been explained at all three levels. The common features at the elem...

Semantic relatedness between words has been extracted from a variety of sources. In this ongoing work, we explore and compare several options for determining if semantic relatedness can be extracted from navigation structures in Wikipedia. In that direction, we first investigate the potential of representation learning techniques such as DeepWalk in comparison to previously applied methods base...

This paper proposes a new semantic representation and its associated similarity measure. The representation expresses textual context observed in a context of a certain term as a network where nodes are terms and edges are the number of cooccurrences between connected terms. To compare terms represented in networks, a graph kernel is adopted as a similarity measure. The proposed representation ...

The present article deals with the Italian lexical-semantic database Simple_PLUS and focuses on its essential core, i.e. the network of lexical semantic relations. This lexical resource builds on Parole-Simple-Clips, a four-layered electronic lexicon of Italian, founded on the SIMPLE model. Simple_PLUS consists of 30,000 semantic entries, partly imported from the source lexicon and partly newly...

Semantic relatedness between words has been extracted from a variety of sources. In this ongoing work, we explore and compare several options for determining if semantic relatedness can be extracted from navigation structures in Wikipedia. In that direction, we first investigate the potential of representation learning techniques such as DeepWalk in comparison to previously applied methods base...

Interoperability is one of the major design objectives when building applications for B2B and Semantic Web applications. In this paper, we present a methodology for engineering semantic knowledge such that these semantic structures are easier reusable when switching between several representation languages. For this purpose, we reconsider the commonalities of representation languages and their ...

Semantic similarity is a fundamental notion in GIScience for achieving semantic interoperability among geospatial data. Until now, several semantic similarity models have been proposed; however, few of these models address the issues related to the assessment of semantic similarity in ad hoc network. Also, several models are based on a definition of concepts where features are independent, an a...

Expressive knowledge representations with flexible semantic similarity measures are central for the functioning of semantic information retrieval, information integration, matchmaking etc. Existing knowledge representations provide no or not sufficient support to model the scope of properties. While properties in featureand geometric models always refer to the whole concept, structured represen...

Semantic Text Mining and its Application in Biomedical Domain Illhoi Yoo Xiaohua Hu, Ph.D A huge amount of biomedical knowledge and novel discoveries have been produced and collected in text databases or digital libraries, such as MEDLINE, because the most natural form to store information is text. In order to cope with this pressing text information overload, text mining is employed. However, ...