# Ontology-Based Methodology for Knowledge Acquisition from Groupware
## 6 Conclusions & Future Work
In Proceedings of the 20 th ACM International Conference on Information and Knowledge Management--CIKM '11, Glasgow, UK, 24-28 October 2011. [CrossRef]
* _[PERSON] et al. (2012)_ [PERSON]; [PERSON]; [PERSON] An Automatic Approach to Harvesting Temporal Knowledge of Entity Relationships. _Procedia Eng._**2012**, _29_, 1399-1409. [CrossRef]
* _[PERSON] (2012)_ [PERSON]; [PERSON] Extraction of temporal facts and events from Wikipedia. In Proceedings of the 2 nd Temporal Web Analytics Workshop on--TempWeb '12, Lyon, France, 16-17 April 2012. [CrossRef]
* _[PERSON] et al. (2019)_ [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON]. KEFST: A knowledge extraction framework using finite-state transducers. _Electron. Libr._**2019**, _37_, 365-384. [CrossRef]
* _[PERSON] et al. (2018)_ [PERSON]; [PERSON]; [PERSON] A Framework for a Forensically Sound Harvesting the Dark Web. In Proceedings of the Central European Cybersecurity Conference 2018 on--ECC 2018, Ljubljana, Slovenia, 15-16 November 2018. [CrossRef]
* _[PERSON] et al. (2020)_ [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON] [PERSON] Actionable Knowledge Extraction Framework for COVID-19. In Proceedings of the 2020 IEEE International Conference on Big Data, Online Conference, 10-13 December 2020; pp. 4036-4041. [CrossRef]
* [PERSON] and [PERSON] (2017) [PERSON]; [PERSON] [PERSON] Design of a conceptual knowledge extraction framework for a social learning environment based on Social Network Analysis methods. In Proceedings of the 2017 18 th International Carpathian Control Conference (ICCC), Sinaia, Romania, 28-31 May 2017. [CrossRef]* [PERSON] et al. (2016) [PERSON]; [PERSON]; [PERSON]; [PERSON] A method to validate the insertion of a new concept in an ontology. In Proceedings of the 2016 12 th International Conference on Signal-Image Technology & Internet-Based Systems (SITIS), Naples, Italy, 28 November-1 December 2016; pp. 275-281. [CrossRef]
* [PERSON] et al. (2016) [PERSON]; [PERSON]; [PERSON] An ontology mapping approach based on classification with word and context similarity. In Proceedings of the 2016 12 th International Conference on Semantics, Knowledge and Grids (SKG), Beijing, China, 15-17 August 2016; pp. 69-75. [CrossRef]
* [PERSON] et al. (2019) [PERSON]; [PERSON]; [PERSON] Interactive Ontology Matching Based on Evolutionary Algorithm. In Proceedings of the 2019 15 th International Conference on Computational Intelligence and Security (CIS), Macao, China, 13-16 December 2019; pp. 1-5. [CrossRef]
* [PERSON] and [PERSON] (2018) [PERSON]; [PERSON] Improving the interoperability of biomedical ontologies with compound alignments. _J. Biomed. Semant._**2018**, \(9\), 13. [CrossRef]
* [PERSON] and [PERSON] (2019) [PERSON]; [PERSON] An approach to merge domain ontologies using granular computing. _Granul. Comput._**2019**, \(6\), 69-94. [CrossRef]
* [PERSON] et al. (2019) [PERSON]; [PERSON]; [PERSON] HISDOM: A Hybrid Ontology Mapping System based on Convolutional Neural Network and Dynamic Weight. In Proceedings of the 6 th IEEE/ ACM International Conference on Big Data Computing, Applications and Technologies, Auckland, New Zealand, 2-5 December 2019; pp. 67-70. [CrossRef]
* [PERSON] (2016) [PERSON] Ontology reconciliation for system engineering. In Proceedings of the 2016 IEEE International Symposium on Systems Engineering (ISSE), Edinburgh, Scotland, 4-5 October 2016; pp. 1-8. [CrossRef]
* [PERSON] and [PERSON] (2015) [PERSON]; [PERSON] [PERSON] Addressing semantic heterogeneity through multiple knowledge base assisted merging of domain-specific ontologies. _Knowl.-Based Syst._**2015**, _73_, 199-211. [CrossRef]
* [PERSON] and [PERSON] (2015) [PERSON]; [PERSON] Research of Ontology Merging Based on Concept Similarity. In Proceedings of the 2015 Seventh International Conference on Measuring Technology and Mechatronics Automation, Nanchang, China, 13-14 June 2015; pp. 831-834. [CrossRef]
* [PERSON] and [PERSON] (2015) [PERSON]; [PERSON] Using ontologies and formal concept analysis to integrate heterogeneous tourism information. _IEEE Trans. Emerg.