Zobrazeno 1 - 10
of 55
pro vyhledávání: '"Chebotko, Artem"'
Various computing and data resources on the Web are being enhanced with machine-interpretable semantic descriptions to facilitate better search, discovery and integration. This interconnected metadata constitutes the Semantic Web, whose volume can po
Externí odkaz:
http://arxiv.org/abs/1105.2264
Autor:
Chebotko, Artem, Fu, Bin
Query evaluation in an XML database requires reconstructing XML subtrees rooted at nodes found by an XML query. Since XML subtree reconstruction can be expensive, one approach to improve query response time is to use reconstruction views - materializ
Externí odkaz:
http://arxiv.org/abs/1007.2671
There is an increasing interest and effort in preserving and documenting endangered languages. Language data are valuable only when they are well-cataloged, indexed and searchable. Many language data, particularly those of lesser-spoken languages, ar
Externí odkaz:
http://arxiv.org/abs/0902.3027
Publikováno v:
International Journal of Information Theories and Applications (IJITA), 11(2), pp. 127-134, 2004
More and more researchers have realized that ontologies will play a critical role in the development of the Semantic Web, the next generation Web in which content is not only consumable by humans, but also by software agents. The development of tools
Externí odkaz:
http://arxiv.org/abs/0902.2953
Autor:
Chebotko, Artem, Deng, Yu, Lu, Shiyong, Fotouhi, Farshad, Aristar, Anthony, Brugman, Hennie, Klassmann, Alexander, Sloetjes, Han, Russel, Albert, Wittenburg, Peter
Publikováno v:
Proceedings of the IEEE Sixth International Symposium on Multimedia Software Engineering (IEEE-MSE'04), pp. 329-336, Miami, FL, USA, December, 2004
Despite its scientific, political, and practical value, comprehensive information about human languages, in all their variety and complexity, is not readily obtainable and searchable. One reason is that many language data are collected as audio and v
Externí odkaz:
http://arxiv.org/abs/0902.3026
Publikováno v:
In Data & Knowledge Engineering November 2013 88:37-59
Publikováno v:
In Future Generation Computer Systems 2011 27(6):781-789
Publikováno v:
In Data & Knowledge Engineering 2010 69(8):836-865
Publikováno v:
In Data & Knowledge Engineering 2009 68(10):973-1000
Publikováno v:
In Future Generation Computer Systems 2009 25(5):568-576