Mapping evolution of dynamic web ontologies
Journal article
| Authors | Khattak, A.M., Pervez, Z., Khan, Wajahat Ali, Khan, A.M., Latif, K. and Lee, S.Y. |
|---|---|
| Abstract | Information on the web and web services that are revised by stakeholders is growing incredibly. The presentation of this information has shifted from a representational model of web information with loosely clustered terminology to semi-formal terminology and even to formal ontology. Mediation (i.e., mapping) is required for systems and services to share information. Mappings are established between ontologies in order to resolve terminological and conceptual incompatibilities. Due to new discoveries in the field of information sharing, the body of knowledge has become more structured and refined. The domain ontologies that represent bodies of knowledge need to be able to accommodate new information. This allows for the ontology to evolve from one consistent state to another. Changes in resources cause existing mappings between ontologies to be unreliable and stale. This highlights the need for mapping evolution (regeneration) as it would eliminate the discrepancies from the existing mappings. In order to re-establish the mappings between dynamic ontologies, the existing systems require a complete mapping process to be restructured, and this process is time consuming. This paper proposes a mapping reconciliation approach between the updated ontologies that has been found to take less time to process compared to the time of existing systems when only the changed resources are considered and also eliminates the staleness of the existing mappings. The proposed approach employs the change history of ontology in order to store the ontology change information, which helps to drastically reduce the reconciliation time of the mappings between dynamic ontologies. A comprehensive evaluation of the performance of the proposed system on standard data sets has been conducted. The experimental results of the proposed system in comparison with six existing mapping systems are provided in this paper using 13 different data sets, which support our claims. |
| Keywords | Ontology change, Change management, Change history, Mapping reconciliation |
| Year | 2015 |
| Journal | Information Sciences |
| Journal citation | 303, pp. 101-119 |
| Publisher | Elsevier BV |
| ISSN | 0020-0255 |
| Digital Object Identifier (DOI) | https://doi.org/10.1016/j.ins.2014.12.040 |
| Web address (URL) | http://hdl.handle.net/10545/624839 |
| https://www.elsevier.com/tdm/userlicense/1.0/ | |
| hdl:10545/624839 | |
| Publication dates | 03 Jan 2015 |
| Publication process dates | |
| Deposited | 29 May 2020, 12:15 |
| Accepted | 27 Dec 2014 |
| Rights | Copyright © 2015 Elsevier Inc. All rights reserved. |
| Contributors | Zayed University, United Arab Emirates, University of the West of Scotland, Kyung Hee University, Republic of Korea, Innopolis University, Russia and NUST, Pakistan |
| File | File Access Level Open |
https://repository.derby.ac.uk/item/9512v/mapping-evolution-of-dynamic-web-ontologies
Download files
28
total views0
total downloads0
views this month0
downloads this month
Export as
Related outputs
A unified graph model based on molecular data binning for disease subtyping
Hassan Zada, M., Yuan, B, Khan, W., Anjum, A., Reiff-Marganiec, S. and Saleem, R. 2022. A unified graph model based on molecular data binning for disease subtyping. Journal of Biomedical Informatics. pp. 1-24. https://doi.org/10.1016/j.jbi.2022.104187
Large-scale Data Integration Using Graph Probabilistic Dependencies (GPDs)
Zada, Muhammad Sadiq Hassan, Yuan, Bo, Anjum, Ashiq, Azad, Muhammad Ajmal, Khan, Wajahat Ali and Reiff-Marganiec, Stephan 2020. Large-scale Data Integration Using Graph Probabilistic Dependencies (GPDs). IEEE. https://doi.org/10.1109/bdcat50828.2020.00028Tweets classification and sentiment analysis for personalized tweets recommendation
Batool, Rabia, Satti, Fahad Ahmed, Hussain, Jamil, Khan, Wajahat Ali, Khan, Adil Mehmood and Hayat, Bashir 2020. Tweets classification and sentiment analysis for personalized tweets recommendation. Complexity in Deep Neural Networks. 2020. https://doi.org/10.1155/2020/8892552Entropy Based Features Distribution for Anti-DDoS Model in SDN
Raja Majid Ali Ujjan, Zeeshan Pervez, Keshav Dahal, Wajahat Ali Khan, Asad Masood Khattak and Bashir Hayat 2021. Entropy Based Features Distribution for Anti-DDoS Model in SDN. Sustainability. 13 (3), pp. 1-27. https://doi.org/10.3390/su13031522Ubiquitous health profile (UHPr): a big data curation platform for supporting health data interoperability
Satti, Fahad Ahmed, Ali, Taqdir, Hussain, Jamil, Khan, Wajahat Ali, Khattak, Asad Masood and Lee, Sungyoung 2020. Ubiquitous health profile (UHPr): a big data curation platform for supporting health data interoperability. Computing. https://doi.org/10.1007/s00607-020-00837-2Data-driven knowledge acquisition, validation, and transformation into HL7 Arden Syntax
Hussain, Maqbool, Afzal, Muhammad, Ali, Taqdir, Ali, Rahman, Khan, Wajahat Ali, Jamshed, Arif, Lee, Sungyoung, Kang, Byeong Ho and Latif, Khalid 2015. Data-driven knowledge acquisition, validation, and transformation into HL7 Arden Syntax. Artificial Intelligence in Medicine. 92, pp. 51-70. https://doi.org/10.1016/j.artmed.2015.09.008The mining minds digital health and wellness framework
Banos, Oresti, Bilal Amin, Muhammad, Khan, Wajahat Ali, Afzal, Muhammad, Hussain, Maqbool, Kang, Byeong Ho and Lee, Sungyong 2016. The mining minds digital health and wellness framework. BioMedical Engineering OnLine. 15 (S1). https://doi.org/10.1186/s12938-016-0179-9Multi-model-based interactive authoring environment for creating shareable medical knowledge
Ali, Taqdir, Hussain, Maqbool, Khan, Wajahat Ali, Afzal, Muhammad, Hussain, Jamil, Ali, Rahman, Hassan, Waseem, Jamshed, Arif, Kang, Byeong Ho and Lee, Sungyoung 2017. Multi-model-based interactive authoring environment for creating shareable medical knowledge. Computer Methods and Programs in Biomedicine. 150, pp. 41-72. https://doi.org/10.1016/j.cmpb.2017.07.010An adaptive semantic based mediation system for data interoperability among health information systems
Khan, Wajahat Ali, Khattak, Asad Masood, Hussain, Maqbool, Amin, Muhammad Bilal, Afzal, Muhammad, Nugent, Christopher and Lee, Sungyoung 2014. An adaptive semantic based mediation system for data interoperability among health information systems. Journal of Medical Systems. 38 (8). https://doi.org/10.1007/s10916-014-0028-yThe intelligent medical platform: a novel dialogue-based platform for health-care services
Taqdir Ali, Jamil Hussain, Muhammad Bilal Amin, Musarrat Hussain, Usman Akhtar, Wajahat Ali Khan, Sungyoung Lee, Byeong Ho Kang, Maqbool Hussain, Muhammad Afzal, Hyeong Won Yu, Ubaid Ur Rehman, Ho-Seong Han, June Young Choi and Arif Jamshed The intelligent medical platform: a novel dialogue-based platform for health-care services. Computer. https://doi.org/10.1109/mc.2019.2924393Exploring the dominant features of social media for depression detection
Hussain, J., Satti, F.A., Afzal, M., Khan, W.A., Bilal, H.S.M., Ansaar, M.Z., Ahmad, H.F., Hur, T., Bang, J., Kim, J.-I., Park, G.H., Seung, H., Lee, S. and Khan, W. Exploring the dominant features of social media for depression detection. Journal of Information Science. https://doi.org/10.1177/0165551519860469