Semantic Space Expansion and Refinement

The revolutionary developments in the digital technologies have indicated a requirement for technology, that systematizes the huge images dataset for easy search and retrieval. This yields an essential demand for developing highly effective retrieval systems. Recently, wide-ranging research efforts...

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Main Authors: Ullah, R., Md Said, A.B., Jaafar, J., Saleem, M.Q.
Format: Article
Institution: Universiti Teknologi Petronas
Record Id / ISBN-0: utp-eprints.20116 /
Published: Institute of Electrical and Electronics Engineers Inc. 2017
Online Access: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85017239502&doi=10.1109%2fICOS.2016.7881995&partnerID=40&md5=2d52a880c8140b9267efc50abaf0d586
http://eprints.utp.edu.my/20116/
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id utp-eprints.20116
recordtype eprints
spelling utp-eprints.201162018-04-22T14:41:30Z Semantic Space Expansion and Refinement Ullah, R. Md Said, A.B. Jaafar, J. Saleem, M.Q. The revolutionary developments in the digital technologies have indicated a requirement for technology, that systematizes the huge images dataset for easy search and retrieval. This yields an essential demand for developing highly effective retrieval systems. Recently, wide-ranging research efforts have been made in the field of annotated images. However, image Annotation can tag by one term, which cannot accurately describe its semantic meaning and is still an open issue. This paper presents Semantic Space Expansion, which magnifies the annotated terms of the image into synonyms as well as with conceptual terms, which covered a wide range of semantics. The synonym terms added from the open knowledge base such as, WordNet while conceptually terms added from the open common-scenes knowledge base of ConceptNet. Due to expansions some of the terms are relevant while some of them are irrelevant from knowledge bases. Semantic Expansion Refinement (SER) is designed to filters relevant terms from the expansion list. The result of the experiments showed successfully enhancement of annotated image terms through tagging ratio and degree of retrieval. © 2016 IEEE. Institute of Electrical and Electronics Engineers Inc. 2017 Article PeerReviewed https://www.scopus.com/inward/record.uri?eid=2-s2.0-85017239502&doi=10.1109%2fICOS.2016.7881995&partnerID=40&md5=2d52a880c8140b9267efc50abaf0d586 Ullah, R. and Md Said, A.B. and Jaafar, J. and Saleem, M.Q. (2017) Semantic Space Expansion and Refinement. ICOS 2016 - 2016 IEEE Conference on Open Systems . pp. 93-98. http://eprints.utp.edu.my/20116/
institution Universiti Teknologi Petronas
collection UTP Institutional Repository
description The revolutionary developments in the digital technologies have indicated a requirement for technology, that systematizes the huge images dataset for easy search and retrieval. This yields an essential demand for developing highly effective retrieval systems. Recently, wide-ranging research efforts have been made in the field of annotated images. However, image Annotation can tag by one term, which cannot accurately describe its semantic meaning and is still an open issue. This paper presents Semantic Space Expansion, which magnifies the annotated terms of the image into synonyms as well as with conceptual terms, which covered a wide range of semantics. The synonym terms added from the open knowledge base such as, WordNet while conceptually terms added from the open common-scenes knowledge base of ConceptNet. Due to expansions some of the terms are relevant while some of them are irrelevant from knowledge bases. Semantic Expansion Refinement (SER) is designed to filters relevant terms from the expansion list. The result of the experiments showed successfully enhancement of annotated image terms through tagging ratio and degree of retrieval. © 2016 IEEE.
format Article
author Ullah, R.
Md Said, A.B.
Jaafar, J.
Saleem, M.Q.
spellingShingle Ullah, R.
Md Said, A.B.
Jaafar, J.
Saleem, M.Q.
Semantic Space Expansion and Refinement
author_sort Ullah, R.
title Semantic Space Expansion and Refinement
title_short Semantic Space Expansion and Refinement
title_full Semantic Space Expansion and Refinement
title_fullStr Semantic Space Expansion and Refinement
title_full_unstemmed Semantic Space Expansion and Refinement
title_sort semantic space expansion and refinement
publisher Institute of Electrical and Electronics Engineers Inc.
publishDate 2017
url https://www.scopus.com/inward/record.uri?eid=2-s2.0-85017239502&doi=10.1109%2fICOS.2016.7881995&partnerID=40&md5=2d52a880c8140b9267efc50abaf0d586
http://eprints.utp.edu.my/20116/
_version_ 1741196320642695168
score 11.62408

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