Zobrazeno 1 - 10
of 37
pro vyhledávání: '"Bai, Rujiang"'
Publikováno v:
The Electronic Library, 2024, Vol. 42, Issue 6, pp. 949-969.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/EL-10-2023-0241
Publikováno v:
In Procedia Computer Science 2021 188:52-60
Akademický článek
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Publikováno v:
Communications in Computer and Information Science ISBN: 9783642272066
FGIT-ASEA/DRBC/EL
FGIT-ASEA/DRBC/EL
The main existed problem in the traditional text classification methods is can’t use the rich semantic information in training data set. This paper proposed a new text classification model based SUMO (The Suggested Upper Merged Ontology) and WordNe
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e5583a81420874bc94718fa3086207cb
https://doi.org/10.1007/978-3-642-27207-3_1
https://doi.org/10.1007/978-3-642-27207-3_1
Autor:
Wang Xiaoyue, Bai Rujiang
Publikováno v:
2010 International Conference on Optics, Photonics and Energy Engineering (OPEE).
This paper discusses a new conception Library 2.0.It starts from the concept of understanding, introduces the technology and the feature of library2.0. And then analysis what the Librarian 2.0 should strive to do in the context of the Library 2.0, an
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::48adc727b5c2a7a52b9d132670a4e4b3
https://doi.org/10.1109/opee.2010.5507983
https://doi.org/10.1109/opee.2010.5507983
Autor:
Wang Xiaoyue, Bai Rujiang
Publikováno v:
2010 International Conference on E-Health Networking Digital Ecosystems and Technologies (EDT).
This paper studies the OntoText laboratory research project KIM Platform (Knowledge and Information Management Platform). Through the study, We found that the main KIM technical use of the current ontology and natural language processing areas are mo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::30191b61542bb4d0c68a691ff1ae9d65
https://doi.org/10.1109/edt.2010.5496406
https://doi.org/10.1109/edt.2010.5496406
Autor:
Bai Rujiang, Wang Xiaoyue
Publikováno v:
2010 International Conference on E-Health Networking Digital Ecosystems and Technologies (EDT).
This paper describes the product of Yahoo's cofiring of a RSS tool Yahoo! Pipes. We tried to use this tool to build an Information Warehouse of Intelligence. Article details the information market of the build process, including identification of sou
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b19817918db407b06e0d8bb39bcd20fc
https://doi.org/10.1109/edt.2010.5496405
https://doi.org/10.1109/edt.2010.5496405
Autor:
Wang Xiaoyue, Bai Rujiang
Publikováno v:
2009 International Conference on Computational Intelligence and Natural Computing.
Current classification methods are based on the “Bag of Words” (BOW) representation, which only accounts for term frequency in the documents, and ignores important semantic relationships between key terms. In this paper, we proposed a system that
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a79516abbb0e1a274dec7296671472a6
https://doi.org/10.1109/cinc.2009.115
https://doi.org/10.1109/cinc.2009.115
Autor:
Liao Junhua, Bai Rujiang
Publikováno v:
2009 International e-Conference on Advanced Science and Technology.
Text classification has been widely used to assist users with the discovery of useful information from the Internet. However, Current text classification systems are based on the “Bag of Words” (BOW) representation, which only accounts for term f
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::47e74ab7d99d24d9c8311ac41f3909c5
https://doi.org/10.1109/ast.2009.15
https://doi.org/10.1109/ast.2009.15
Autor:
Liao Junhua, Bai Rujiang
Publikováno v:
2009 Second International Symposium on Electronic Commerce and Security.
Successful text classification is highly dependent on the representations used. Currently, most approaches to text classification adopt the ‘bag-of-words’ document representation approach, where the frequency of occurrence of each word is conside
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3b64f7a837aa5c2ca7711126717e41d6
https://doi.org/10.1109/isecs.2009.231
https://doi.org/10.1109/isecs.2009.231