Understanding semantic links among heterogeneous biological data sources

Sudha Ram, Wei Wei

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)

Abstract

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)
Title of host publication15th Workshop on Information Technology and Systems, WITS 2005
PublisherUniversity of Arizona
Pages123-128
Number of pages6
StatePublished - 2005
Event15th Workshop on Information Technology and Systems, WITS 2005 - Las Vegas, NV, United States
Duration: Dec 10 2005Dec 11 2005

Other

Other15th Workshop on Information Technology and Systems, WITS 2005
CountryUnited States
CityLas Vegas, NV
Period12/10/0512/11/05

Fingerprint

Semantics
Data mining
Availability

ASJC Scopus subject areas

  • Information Systems
  • Control and Systems Engineering

Cite this

Ram, S., & Wei, W. (2005). Understanding semantic links among heterogeneous biological data sources. In 15th Workshop on Information Technology and Systems, WITS 2005 (pp. 123-128). University of Arizona.

Understanding semantic links among heterogeneous biological data sources. / Ram, Sudha; Wei, Wei.

15th Workshop on Information Technology and Systems, WITS 2005. University of Arizona, 2005. p. 123-128.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Ram, S & Wei, W 2005, Understanding semantic links among heterogeneous biological data sources. in 15th Workshop on Information Technology and Systems, WITS 2005. University of Arizona, pp. 123-128, 15th Workshop on Information Technology and Systems, WITS 2005, Las Vegas, NV, United States, 12/10/05.
Ram S, Wei W. Understanding semantic links among heterogeneous biological data sources. In 15th Workshop on Information Technology and Systems, WITS 2005. University of Arizona. 2005. p. 123-128
Ram, Sudha ; Wei, Wei. / Understanding semantic links among heterogeneous biological data sources. 15th Workshop on Information Technology and Systems, WITS 2005. University of Arizona, 2005. pp. 123-128
@inproceedings{4c3a410031f24c5bb63e2b2e1f7d5654,
title = "Understanding semantic links among heterogeneous biological data sources",
abstract = "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.",
author = "Sudha Ram and Wei Wei",
year = "2005",
language = "English (US)",
pages = "123--128",
booktitle = "15th Workshop on Information Technology and Systems, WITS 2005",
publisher = "University of Arizona",

}

TY - GEN

T1 - Understanding semantic links among heterogeneous biological data sources

AU - Ram, Sudha

AU - Wei, Wei

PY - 2005

Y1 - 2005

N2 - 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.

AB - 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.

UR - http://www.scopus.com/inward/record.url?scp=34147110432&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=34147110432&partnerID=8YFLogxK

M3 - Conference contribution

SP - 123

EP - 128

BT - 15th Workshop on Information Technology and Systems, WITS 2005

PB - University of Arizona

ER -