A Methodology for E-Content Preparation using Semantic Similarity between Words

被引：0
|
作者：
Gopal, U. Nanda [1 ]
机构：
[1] Manakula Vinayagar Inst Technol, Pudhucherry, India
来源：
2012 INTERNATIONAL CONFERENCE ON RADAR, COMMUNICATION AND COMPUTING (ICRCC) | 2012年
关键词：
E-Learning; E-Content; OWL; SWRL; SQWRL; Semantic Web; Ontology; Web mining; Information extraction;
D O I：
暂无
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
Artificial Intelligence and web when amalgamated, it may produce miracle in terms of semantic web. E-learning works efficiently only when E-Content preparation is need based, searchable through semantic similarity between keywords. This paper describes a e-content/e-book preparation from existing available contents on a selected topic/topics, based on a semantic similarity between particular keywords. Accurately measuring semantic similarity between two words remains a challenging task. We propose an empirical method to estimate semantic similarity using page counts and text snippets
引用
收藏
页码：235 / 238
页数：4
相关论文
共 50 条
  • [41] A hybrid model to improve IC-related metrics of semantic similarity between words
    Xiao, Jia
    COMPLEX & INTELLIGENT SYSTEMS, 2024, 10 (05) : 6339 - 6377
  • [42] Semantic Similarity between Web Documents Using Ontology
    Chahal P.
    Singh Tomer M.
    Kumar S.
    Journal of The Institution of Engineers (India): Series B, 2018, 99 (3) : 293 - 300
  • [43] Assessment of Semantic Similarity between Proteins Using Information Content and Topological Properties of the Gene Ontology Graph
    Dutta, Pritha
    Basu, Subhadip
    Kundu, Mahantapas
    IEEE-ACM TRANSACTIONS ON COMPUTATIONAL BIOLOGY AND BIOINFORMATICS, 2018, 15 (03) : 839 - 849
  • [44] Using the Self-Organizing Map (SOM) algorithm, as a prototype e-content retrieval tool
    Drigas, Athanasios S.
    Vrettaros, John
    COMPUTATIONAL SCIENCE AND ITS APPLICATIONS - ICCSA 2008, PT 2, PROCEEDINGS, 2008, 5073 : 14 - 23
  • [45] Measuring Semantic Similarity of Word Pairs Using Path and Information Content
    Meng, Lingling
    Huang, Runging
    Gu, Junzhong
    INTERNATIONAL JOURNAL OF FUTURE GENERATION COMMUNICATION AND NETWORKING, 2014, 7 (03): : 183 - 194
  • [46] Measure the Semantic Similarity of GO Terms Using Aggregate Information Content
    Song, Xuebo
    Li, Lin
    Srimani, Pradip K.
    Yu, Philip S.
    Wang, James Z.
    IEEE-ACM TRANSACTIONS ON COMPUTATIONAL BIOLOGY AND BIOINFORMATICS, 2014, 11 (03) : 468 - 476
  • [47] Information content measures of semantic similarity between documents based on Hadoop system
    Birjali, Marouane
    Beni-Hssane, Abderrahim
    Erritali, Mohammed
    Madani, Youness
    2016 INTERNATIONAL CONFERENCE ON WIRELESS NETWORKS AND MOBILE COMMUNICATIONS (WINCOM), 2016, : P187 - P192
  • [48] Estimating Semantic Similarity between Expanded Query and Tweet Content for Microblog Retrieval
    Zhang, Zhihua
    Lan, Man
    23rd Text REtrieval Conference, TREC 2014 - Proceedings, 2014,
  • [49] An Algorithm of Semantic Similarity Between Words Based on Word Single-meaning Embedding Model
    Li X.-T.
    You S.-J.
    Chen W.
    Zidonghua Xuebao/Acta Automatica Sinica, 2020, 46 (08): : 1654 - 1669
  • [50] COMPUTATION OF THE SEMANTIC RELATEDNESS BETWEEN WORDS USING CONCEPT CLOUDS
    Kulkarni, Swarnim
    Caragea, Doina
    KDIR 2009: PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON KNOWLEDGE DISCOVERY AND INFORMATION RETRIEVAL, 2009, : 183 - 188
12345