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Benjamin Shade and Eduardo G. Altmann
Quantifying the dissimilarity of two texts is an important aspect of a number of natural language processing tasks, including semantic information retrieval, topic classification, and document clustering. In this paper, we compared the properties and per...
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Sardar Parhat, Mutallip Sattar, Askar Hamdulla and Abdurahman Kadir
In this study, based on a morpheme segmentation framework, we researched a text keyword extraction method for Uyghur, Kazakh and Kirghiz languages, which have similar grammatical and lexical structures. In these languages, affixes and a stem are joined t...
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Reem Qadan Al-Fayez, Marwan Al-Tawil, Bilal Abu-Salih and Zaid Eyadat
In recent years and with the advancement of semantic technologies, shared and published online data have become necessary to improve research and development in all fields. While many datasets are publicly available in social and economic domains, most l...
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Hasna Boumechaal and Zizette Boufaida
Querying Linked Data is one of the most important issues for the semantic web community today because it requires the user to understand the structure and vocabularies used in various data sources. Furthermore, users must be familiar with the syntax of q...
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Andreas Giannakoulopoulos, Minas Pergantis, Nikos Konstantinou, Alexandros Kouretsis, Aristeidis Lamprogeorgos and Iraklis Varlamis
Since the dawn of the new millennium and even earlier, a coordinated effort has been underway to expand the World Wide Web into a machine-readable web of data known as the Semantic Web. The field of art and culture has been one of the most eager to integ...
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Valery Solovyev and Vladimir Ivanov
In a great deal of theoretical and applied cognitive and neurophysiological research, it is essential to have more vocabularies with concreteness/abstractness ratings. Since creating such dictionaries by interviewing informants is labor-intensive, consid...
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Wirapong Chansanam, Kanyarat Kwiecien, Marut Buranarach and Kulthida Tuamsuk
This research was aimed at constructing a thesaurus of the ethnic groups in the Mekong River Basin that is a compilation of controlled vocabularies of both Thai and English language, with a digital platform that enables semantic search and linked open da...
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Allan Mazimwe, Imed Hammouda and Anthony Gidudu
The success of disaster management efforts demands meaningful integration of data that is geographically dispersed and owned by stakeholders in various sectors. However, the difficulty in finding, accessing and reusing interoperable vocabularies to organ...
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Jiseong Son, Chul-Su Lim, Hyoung-Seop Shim and Ji-Sun Kang
Despite the development of various technologies and systems using artificial intelligence (AI) to solve problems related to disasters, difficult challenges are still being encountered. Data are the foundation to solving diverse disaster problems using AI...
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Linda Elmhadhbi, Mohamed-Hedi Karray, Bernard Archimède, J. Neil Otte and Barry Smith
Managing complex disaster situations is a challenging task because of the large number of actors involved and the critical nature of the events themselves. In particular, the different terminologies and technical vocabularies that are being exchanged amo...
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