Abstract
TRP (Transient receptor potential) channel is a biological component which could be of factors in severe diseases such as heart attack and cancer. In order for researchers to easily search for protein-protein interactions for mammalian TRP channel, TRIP Database was created. However, TRIP Database does not contain information about proteins in details, making researchers in turn visit other database services such as UniProt and PDB. In this paper, we propose a semantic TRP Ontology made from TRIP Database, allowing users to be given the collected contents from other relevant databases as well using a single request. As a practical scenario, we generate RDF triples from TRIP Database by referring to TRP Ontology designed to have links with UniProt. A federated way of collecting contents from two different services is proposed.
| Original language | English |
|---|---|
| Title of host publication | Semantic Technology - Third Joint International Conference, JIST 2013, Revised Selected Papers |
| Publisher | Springer Verlag |
| Pages | 103-109 |
| Number of pages | 7 |
| ISBN (Print) | 9783319068251 |
| DOIs | |
| State | Published - 1 Jan 2014 |
| Event | 3rd Joint International Semantic Technology Conference, JIST 2013 - Seoul, Korea, Republic of Duration: 28 Nov 2013 → 30 Nov 2013 |
Publication series
| Name | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
|---|---|
| Volume | 8388 LNCS |
| ISSN (Print) | 0302-9743 |
| ISSN (Electronic) | 1611-3349 |
Other
| Other | 3rd Joint International Semantic Technology Conference, JIST 2013 |
|---|---|
| Country | Korea, Republic of |
| City | Seoul |
| Period | 28/11/13 → 30/11/13 |
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Keywords
- Ontology
- SPARQL
- TRP channel
Cite this
}
Federating heterogeneous biological resources on the web : A case study on TRP channel ontology construction. / Nam, Se Jin; Ahn, Jinhyun; Lim, Jin Muk; Eom, Jae Hong; Jeon, Ju-Hong; Kim, Hong Gee.
Semantic Technology - Third Joint International Conference, JIST 2013, Revised Selected Papers. Springer Verlag, 2014. p. 103-109 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 8388 LNCS).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Research › peer-review
TY - GEN
T1 - Federating heterogeneous biological resources on the web
T2 - A case study on TRP channel ontology construction
AU - Nam, Se Jin
AU - Ahn, Jinhyun
AU - Lim, Jin Muk
AU - Eom, Jae Hong
AU - Jeon, Ju-Hong
AU - Kim, Hong Gee
PY - 2014/1/1
Y1 - 2014/1/1
N2 - TRP (Transient receptor potential) channel is a biological component which could be of factors in severe diseases such as heart attack and cancer. In order for researchers to easily search for protein-protein interactions for mammalian TRP channel, TRIP Database was created. However, TRIP Database does not contain information about proteins in details, making researchers in turn visit other database services such as UniProt and PDB. In this paper, we propose a semantic TRP Ontology made from TRIP Database, allowing users to be given the collected contents from other relevant databases as well using a single request. As a practical scenario, we generate RDF triples from TRIP Database by referring to TRP Ontology designed to have links with UniProt. A federated way of collecting contents from two different services is proposed.
AB - TRP (Transient receptor potential) channel is a biological component which could be of factors in severe diseases such as heart attack and cancer. In order for researchers to easily search for protein-protein interactions for mammalian TRP channel, TRIP Database was created. However, TRIP Database does not contain information about proteins in details, making researchers in turn visit other database services such as UniProt and PDB. In this paper, we propose a semantic TRP Ontology made from TRIP Database, allowing users to be given the collected contents from other relevant databases as well using a single request. As a practical scenario, we generate RDF triples from TRIP Database by referring to TRP Ontology designed to have links with UniProt. A federated way of collecting contents from two different services is proposed.
KW - Ontology
KW - SPARQL
KW - TRP channel
UR - http://www.scopus.com/inward/record.url?scp=84902594851&partnerID=8YFLogxK
U2 - 10.1007/978-3-319-06826-8_9
DO - 10.1007/978-3-319-06826-8_9
M3 - Conference contribution
SN - 9783319068251
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 103
EP - 109
BT - Semantic Technology - Third Joint International Conference, JIST 2013, Revised Selected Papers
PB - Springer Verlag
ER -