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The Scientific World Journal
Volume 2013, Article ID 793091, 11 pages
http://dx.doi.org/10.1155/2013/793091
Review Article

From Ontology to Semantic Similarity: Calculation of Ontology-Based Semantic Similarity

1Dongling School of Economics and Management, University of Science and Technology Beijing, Beijing 100083, China
2Department of Automation, Tsinghua University, Beijing 100084, China

Received 27 October 2012; Accepted 16 January 2013

Academic Editors: Y. Cai, S. Mohan, C. Proctor, K. Spiegel, and J. Wang

Copyright © 2013 Mingxin Gan et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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  • Shaokun Jin, Yipeng Ding, and Zhigang Chen, “Proposed benefit-harm value based utterance learning model for human-machine communication control system,” 2014 IEEE International Conference on Control Science and Systems Engineering, pp. 57–60, . View at Publisher · View at Google Scholar
  • Yu Su, Shengqi Yang, Huan Sun, Mudhakar Srivatsa, Sue Kase, Michelle Vanni, and Xifeng Yan, “Exploiting Relevance Feedback in Knowledge Graph Search,” Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining - KDD '15, pp. 1135–1144, . View at Publisher · View at Google Scholar
  • Nicoletta Dessi, Stefania Dessi, and Barbara Pes, “A Fully Semantic Approach to Large Scale Text Categorization,” Information Sciences and Systems 2013, vol. 264, pp. 149–157, 2013. View at Publisher · View at Google Scholar
  • Hugo P Bastos, Luka A Clarke, and Francisco M Couto, “Annotation extension through protein family annotation coherence metrics.,” Frontiers in genetics, vol. 4, pp. 201, 2013. View at Publisher · View at Google Scholar
  • Carolina M. Carnielli, Flavia V. Winck, and Adriana F. Paes Leme, “Functional annotation and biological interpretation of proteomics data,” Biochimica et Biophysica Acta (BBA) - Proteins and Proteomics, 2014. View at Publisher · View at Google Scholar
  • Mingxin Gan, “Correlating Information Contents of Gene Ontology Terms to Infer Semantic Similarity of Gene Products,” Computational and Mathematical Methods in Medicine, vol. 2014, pp. 1–9, 2014. View at Publisher · View at Google Scholar
  • Ivan Y Iourov, Svetlana G Vorsanova, and Yuri B Yurov, “In silico molecular cytogenetics: a bioinformatic approach to prioritization of candidate genes and copy number variations for basic and clinical genome research,” Molecular Cytogenetics, vol. 7, no. 1, pp. 98, 2014. View at Publisher · View at Google Scholar
  • Hussein Sseggujja, Ali Selamat, Hussein Sseggujja, and Ali Selamat, “Towards Domain Ontology Interoperability Measurement,” New Trends In Software Methodologies, Tools And Techniques, vol. 265, pp. 753–766, 2014. View at Publisher · View at Google Scholar
  • Shaker El-Sappagh, Mohammed Elmogy, and A.M. Riad, “A fuzzy-ontology oriented case-based reasoning framework for semantic diabetes diagnosis,” Artificial Intelligence in Medicine, 2015. View at Publisher · View at Google Scholar
  • Charles Bettembourg, Christian Diot, and Olivier Dameron, “Optimal Threshold Determination for Interpreting Semantic Similarity and Particularity: Application to the Comparison of Gene Sets and Metabolic Pathw,” Plos One, vol. 10, no. 7, 2015. View at Publisher · View at Google Scholar
  • Charles E. Chapple, Carl Herrmann, and Christine Brun, “PrOnto database : GO term functional dissimilarity inferred from biological data,” Frontiers in Genetics, vol. 6, 2015. View at Publisher · View at Google Scholar
  • Andreas Zanzoni, Charles E. Chapple, and Christine Brun, “Relationships between predicted moonlighting proteins, human diseases, and comorbidities from a network perspective,” Frontiers in Physiology, vol. 6, 2015. View at Publisher · View at Google Scholar
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  • Anika Oellrich, Ramona L. Walls, Ethalinda K. S. Cannon, Steven B. Cannon, Laurel Cooper, Jack Gardiner, Georgios V. Gkoutos, Lisa Harper, Mingze He, Robert Hoehndorf, Pankaj Jaiswal, Scott R. Kalberer, John P. Lloyd, David Meinke, Naama Menda, Laura Moore, Rex T. Nelson, Anuradha Pujar, Carolyn J. Lawrence, and Eva Huala, “An ontology approach to comparative phenomics in plants,” Plant Methods, vol. 11, 2015. View at Publisher · View at Google Scholar
  • Malak Al-Hassan, Haiyan Lu, and Jie Lu, “A Semantic Enhanced Hybrid Recommendation Approach: a Case Study of E-government Tourism Service Recommendation System,” Decision Support Systems, 2015. View at Publisher · View at Google Scholar
  • Juan J. Lastra-Díaz, and Ana García-Serrano, “A novel family of IC-based similarity measures with a detailed experimental survey on WordNet,” Engineering Applications of Artificial Intelligence, vol. 46, pp. 140–153, 2015. View at Publisher · View at Google Scholar
  • Shu-Bo Zhang, and Jian-Huang Lai, “An Integrated Information-Based Similarity Measurement of Gene Ontology Terms,” Computer Science And Information Systems, vol. 12, no. 4, pp. 1235–1253, 2015. View at Publisher · View at Google Scholar
  • Hussein Sseggujja, Ali Selamat, Hussein Sseggujja, and Ali Selamat, “Towards Domain Ontology Interoperability Measurement,” Intelligent Software Methodologies, Tools And Techniques, Somet 2014, vol. 513, pp. 282–296, 2015. View at Publisher · View at Google Scholar
  • Hugo P. Bastos, Lisete Sousa, Luka A. Clarke, and Francisco M. Couto, “Functional coherence metrics in protein families,” Journal of Biomedical Semantics, vol. 7, no. 1, 2016. View at Publisher · View at Google Scholar
  • Youngseok Choi, Jungsuk Oh, and Jinsoo Park, “A novel approach to managing the dynamic nature of semantic relatedness,” Journal of Database Management, vol. 27, no. 2, pp. 1–26, 2016. View at Publisher · View at Google Scholar
  • Shu-Bo Zhang, and Jian-Huang Lai, “Exploring information from the topology beneath the Gene Ontology terms to improve semantic similarity measures,” Gene, 2016. View at Publisher · View at Google Scholar
  • Mohamed Ben Aouicha, and Mohamed Ali Hadj Taieb, “Computing semantic similarity between biomedical concepts using new information content approach,” Journal of Biomedical Informatics, vol. 59, pp. 258–275, 2016. View at Publisher · View at Google Scholar
  • Shutian Ma, Xiaoyong Zhang, and Chengzhi Zhang, “NLPCC 2016 Shared Task Chinese Words Similarity Measure via Ensemble Learning Based on Multiple Resources,” Natural Language Understanding and Intelligent Applications, vol. 10102, pp. 862–869, 2016. View at Publisher · View at Google Scholar
  • Shaker El-Sappagh, and Mohammed Elmogy, “A fuzzy ontology modeling for case base knowledge in diabetes mellitus domain,” Engineering Science and Technology, an International Journal, 2017. View at Publisher · View at Google Scholar
  • Christian X. Weichenberger, Antonia Palermo, Peter P. Pramstaller, and Francisco S. Domingues, “Exploring Approaches for Detecting Protein Functional Similarity within an Orthology-based Framework,” Scientific Reports, vol. 7, no. 1, 2017. View at Publisher · View at Google Scholar
  • Juan J. Díaz-Montaña, Norberto Díaz-Díaz, and Francisco Gómez-Vela, “GFD-Net: a novel semantic similarity methodology for the analysis of gene networks,” Journal of Biomedical Informatics, 2017. View at Publisher · View at Google Scholar
  • Hoda Safaeipour, M. H. Fazel Zarandi, and Susan Bastani, “Using Fuzzy Ontology to Improve Similarity Assessment: Method and Evaluation,” International Journal of Intelligent Systems, 2017. View at Publisher · View at Google Scholar
  • S. Subbulakshmi, K. Ramar, Ameena Shaji, and Parvathy Prakash, “Web Service Recommendation Based on Semantic Analysis of Web Service Specification and Enhanced Collaborative Filtering,” Intelligent Systems Technologies and Applications, vol. 683, pp. 54–65, 2017. View at Publisher · View at Google Scholar
  • Siding Chen, Peiwen Du, Xiaofei Xu, and Li Li, “Word similarity computation with extreme-similar method,” Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 10612, pp. 56–65, 2017. View at Publisher · View at Google Scholar
  • Heng Zhang, and Utpal Roy, “A semantics-based dispatching rule selection approach for job shop scheduling,” Journal of Intelligent Manufacturing, 2018. View at Publisher · View at Google Scholar
  • Maja Radovic, Milorad Tosic, Danijela Milosevic, and Dragan Jankovic, “OntoCIP - An Ontology of Comprehensive Integrative Puzzle Assessment Method Suitable for Automatic Question Generation,” Teaching and Learning in a Digital World, vol. 716, pp. 394–399, 2018. View at Publisher · View at Google Scholar