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KYOTO is an Asian-European project developing a community platform for modeling knowledge and finding facts across languages and cultures. The platform operates as a Wiki system that multilingual and multi-cultural communities can use to agree on the meaning of terms in specific domains. The Wiki is fed with terms that are automatically extracted from documents in different languages. The users can modify these terms and relate them across languages. The system generates complex, language-neutral knowledge structures that remain hidden to the user but that can be used to apply open text mining to text collections. The resulting database of facts will be browse-able and searchable. Knowledge is shared across cultures by modeling the knowledge across languages. The system is developed for 7 languages and applied to the domain of the environment, but it can easily be extended to other languages and domains.
multilingual and multi-cultural communities, DRNTU::Library and information science, platform for modeling knowledge, :Library and information science [DRNTU], H.5 INFORMATION INTERFACES AND PRESENTATION (e.g., HCI), Wiki system, 004
multilingual and multi-cultural communities, DRNTU::Library and information science, platform for modeling knowledge, :Library and information science [DRNTU], H.5 INFORMATION INTERFACES AND PRESENTATION (e.g., HCI), Wiki system, 004
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 6 | |
popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 10% | |
impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |