Understanding semantic links among heterogeneous biological data sources

Sudha Ram, Wei Wei

Research output: Contribution to conferencePaperpeer-review

2 Scopus citations


Availability of increasingly rich biological data has tremendous potential for discovering new knowledge. This can be accomplished by traversing links among heterogeneous data sources. Current ways of implementing these links do not explicitly represent their semantics, and therefore, fail to provide useful information. In order to facilitate knowledge discovery, we believe it is important to understand the semantics of biological data entities, including biological sequences and their structures, and more importantly, the types of links among these entities. Once the links are formally defined and labeled, operators based on these semantics can be developed to aid biologists in dynamically linking these data sources, which will greatly improve the opportunities for knowledge discovery.

Original languageEnglish (US)
Number of pages6
StatePublished - Jan 1 2005
Event15th Workshop on Information Technology and Systems, WITS 2005 - Las Vegas, NV, United States
Duration: Dec 10 2005Dec 11 2005


Other15th Workshop on Information Technology and Systems, WITS 2005
Country/TerritoryUnited States
CityLas Vegas, NV

ASJC Scopus subject areas

  • Information Systems
  • Control and Systems Engineering


Dive into the research topics of 'Understanding semantic links among heterogeneous biological data sources'. Together they form a unique fingerprint.

Cite this