DocumentCode
3410045
Title
Labeling and enhancing life sciences links
Author
Heymann, S. ; Naumann, F. ; Raschid, L. ; Rieger, P.
Author_Institution
University of Maryland
fYear
2004
fDate
19-19 Aug. 2004
Firstpage
569
Lastpage
570
Abstract
Life sciences data sources contain data about scientific objects such as genes and sequences that are richly interconnected, i.e., a gene object may have links to sequences, proteins, SNPs, citations, etc. Scientific knowledge is enhanced by exploration of relationships between scientific objects, requiring traversal of both links and paths (informally concatenations of links). There are significant limitations and challenges of such exploration, because the links are inherently poor with respect to syntactic representation and semantic knowledge. The links are syntactically poor because the source
Keywords
Algorithm design and analysis; Bioinformatics; Data models; Database languages; Diseases; HTML; Humans; Labeling; Performance analysis; Proteins;
fLanguage
English
Publisher
ieee
Conference_Titel
Computational Systems Bioinformatics Conference, 2004. CSB 2004. Proceedings. 2004 IEEE
Conference_Location
Stanford, CA, USA
Print_ISBN
0-7695-2194-0
Type
conf
DOI
10.1109/CSB.2004.1332512
Filename
1332512
Link To Document