SCHO: An Ontology Based Model for Com- puting Divergence Awareness in Distributed Collaborative Systems
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Multi-synchronous collaboration allows people to work concurrently on copies of a shared document which generates divergence. Divergence awareness allows to localize where divergence is located and estimate how much divergence exists among the copies. Existing divergence awareness metrics are highly coupled to their original applications and can not be used outside their original scope. In this paper, we propose the SCHO ontology: a unified formal ontology for constructing and sharing the causal history in a distributed collaborative system. Then we define the existing divergence metrics in a declarative way based on this model. We validate our work using real data extracted from software engineering development projects.
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Number of citations to item: 3
- Hafed Zarzour, Lamia Berrezzek, Hafida Ghomrani, Tarek Abid, Mokhtar Sellami (2015): Consistency awareness in a distributed collaborative system for semantic stores, In: 2015 IEEE/ACS 12th International Conference of Computer Systems and Applications (AICCSA), doi:10.1109/aiccsa.2015.7507204
- Noriyuki Ishida, Donghui Lin, Toshiyuki Takasaki, Toru Ishida (2012): Supporting multilingual discussion for collaborative translation, In: 2012 International Conference on Collaboration Technologies and Systems (CTS), doi:10.1109/cts.2012.6261055
- Alan Davoust, Hala Skaf‐Molli, Pascal Molli, Babak Esfandiari, Khaled Aslan (2014): Distributed wikis: a survey, In: Concurrency and Computation: Practice and Experience 11(27), doi:10.1002/cpe.3439