Zobrazeno 1 - 10
of 24
pro vyhledávání: '"Weisen Guo"'
Autor:
Steven Kraines, Weisen Guo
Publikováno v:
Data Science Journal, Vol 9, Pp 107-123 (2011)
Work towards creation of a knowledge sharing system for sustainability science through the application of semantic data modeling is described. An ontology grounded in description logics was developed based on the ISO 15926 data model to describe thre
Externí odkaz:
https://doaj.org/article/7401a9c5ef924e628fc580099ed70412
Autor:
Steven B. Kraines, Weisen Guo
Publikováno v:
International Journal of Knowledge and Systems Science. 1:1-19
To promote global knowledge sharing, one should solve the problem that knowledge representation in diverse natural languages restricts knowledge sharing effectively. Traditional knowledge sharing models are based on natural language processing (NLP)
Autor:
Weisen Guo, Steven B. Kraines
Publikováno v:
ASIST
Papers written by researchers in medical and life sciences are a valuable source of information even for non-experts looking for knowledge related to rare diseases, but only if those non-experts can read English. If researchers create descriptors of
Autor:
Steven B. Kraines, Weisen Guo
Publikováno v:
ASIST
Researchers begin new research by acquiring pre-existing explicit scientific knowledge that is potentially relevant to the research subject. In order to find some potentially relevant explicit scientific knowledge items, such as knowledge whose conte
Autor:
Weisen Guo, Steven B. Kraines
To promote global knowledge sharing, one should solve the problem that knowledge representation in diverse natural languages restricts knowledge sharing effectively. Traditional knowledge sharing models are based on natural language processing (NLP)
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6a5da416571be3fb32ec6aacf4c92bf3
https://doi.org/10.4018/978-1-4666-1782-7.ch011
https://doi.org/10.4018/978-1-4666-1782-7.ch011
Autor:
Toshihisa Takagi, Takaki Makino, Yoshihiro Okuda, Daisuke Hoshiyama, Haruo Mizutani, Steven B. Kraines, Yo Shidahara, Weisen Guo
Publikováno v:
Communications in Computer and Information Science ISBN: 9783642297632
IC3K
IC3K
Literature-based knowledge discovery generates potential discoveries from associations between specific concepts that have been previously reported in the literature. However, because the associations are generally between individual concepts, the kn
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::69c6e3ee239ac82b8137b7790d83700d
https://doi.org/10.1007/978-3-642-29764-9_6
https://doi.org/10.1007/978-3-642-29764-9_6
Autor:
Weisen Guo, Steven B. Kraines
Publikováno v:
Computational Social Networks ISBN: 9781447140504
As knowledge sharing on the Web becomes widespread, it becomes more difficult to know the trustworthiness of the knowledge source. Trust and recommendation have been used for inferring the trustworthiness of unknown entities in many different domains
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a51b097fdd73313e878221d14464807f
https://doi.org/10.1007/978-1-4471-4051-1_6
https://doi.org/10.1007/978-1-4471-4051-1_6
Autor:
Weisen Guo, Steven B. Kraines
Publikováno v:
Communications in Computer and Information Science ISBN: 9783642190315
IC3K
IC3K
The rate of literature publication in life sciences is growing fast, and researchers in the bioinformatics and knowledge discovery fields have been studying how to use the existing literature to discover novel knowledge or generate novel hypothesis.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b55c4d7e72c87b7a755b6b41ac4ab54e
https://doi.org/10.1007/978-3-642-19032-2_4
https://doi.org/10.1007/978-3-642-19032-2_4
Autor:
Weisen, Guo, Steven B, Kraines
Publikováno v:
Advances in experimental medicine and biology. 680
Recommender systems (RSs) can be useful for suggesting items that might be of interest to specific users. Most existing content-based recommendation (CBR) systems are designed to recommend items based on text content, and the items in these systems a
Autor:
Weisen Guo, Steven B. Kraines
Publikováno v:
Advances in Data Mining. Applications and Theoretical Aspects ISBN: 9783642143991
ICDM
ICDM
Mining general knowledge about relationships between concepts described in the analyses of failure cases could help people to avoid repeating previous failures. Furthermore, by representing knowledge using ontologies that support inference, we can id
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d47d6d84df184173e6b1992e395a7e5f
https://doi.org/10.1007/978-3-642-14400-4_48
https://doi.org/10.1007/978-3-642-14400-4_48