@inproceedings{rizov-tinchev-2022-towards,
title = "Towards Dynamic {W}ordnet: Time Flow Hydra",
author = "Rizov, Borislav and
Tinchev, Tinko",
booktitle = "Proceedings of the 5th International Conference on Computational Linguistics in Bulgaria (CLIB 2022)",
month = sep,
year = "2022",
address = "Sofia, Bulgaria",
publisher = "Department of Computational Linguistics, IBL -- BAS",
url = "https://aclanthology.org/2022.clib-1.26",
pages = "234--238",
abstract = "Hydra is a Wordnet management system where the Synsets from different languages live in a common relational structure (Kripke frame) with a user-frendly GUI for searching, editing and alignment of the objects from the different languages. The data is retrieved by means of a modal logic query language. Despite its many merits the system stores only the current state of the wordnet data. Wordnet editing and development opens questions for wordnet data, structure and its consistency over time. The new Time Flow Hydra uses a Dynamic wordnet model with a discrete time embeded where all the states of all the objects are stored and accessed simultaneously. This provides the ability to track the changes, to detect the desired and undesired results of the data evolution. For example, we can ask which objects 10 days ago had 2 hyponyms, and 5 days later have 3.",
}
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%0 Conference Proceedings
%T Towards Dynamic Wordnet: Time Flow Hydra
%A Rizov, Borislav
%A Tinchev, Tinko
%S Proceedings of the 5th International Conference on Computational Linguistics in Bulgaria (CLIB 2022)
%D 2022
%8 September
%I Department of Computational Linguistics, IBL – BAS
%C Sofia, Bulgaria
%F rizov-tinchev-2022-towards
%X Hydra is a Wordnet management system where the Synsets from different languages live in a common relational structure (Kripke frame) with a user-frendly GUI for searching, editing and alignment of the objects from the different languages. The data is retrieved by means of a modal logic query language. Despite its many merits the system stores only the current state of the wordnet data. Wordnet editing and development opens questions for wordnet data, structure and its consistency over time. The new Time Flow Hydra uses a Dynamic wordnet model with a discrete time embeded where all the states of all the objects are stored and accessed simultaneously. This provides the ability to track the changes, to detect the desired and undesired results of the data evolution. For example, we can ask which objects 10 days ago had 2 hyponyms, and 5 days later have 3.
%U https://aclanthology.org/2022.clib-1.26
%P 234-238
Markdown (Informal)
[Towards Dynamic Wordnet: Time Flow Hydra](https://aclanthology.org/2022.clib-1.26) (Rizov & Tinchev, CLIB 2022)
ACL
- Borislav Rizov and Tinko Tinchev. 2022. Towards Dynamic Wordnet: Time Flow Hydra. In Proceedings of the 5th International Conference on Computational Linguistics in Bulgaria (CLIB 2022), pages 234–238, Sofia, Bulgaria. Department of Computational Linguistics, IBL -- BAS.