Towards Biomedical Data Integration for Analyzing the Evolution of Cognition
A. Zaveri, K. Nowick, and J. Lehmann. To appear in Proceedings of Ontology and Data in Life Sciences Workshop (ODLS), (2013)
Abstract
Cognition is determined by function and interplay of several hundred if not thousand genes with a considerable overlap in the phenotypes and genes causing different cognitive diseases. We argue that these diseases should not be studied in isolation, but that data allowing to study them should be integrated. Ultimately, this will allow researchers to more easily answer questions, which would otherwise require time-consuming research. Specifically, we propose to use Linked Data publication, data integration and querying methods, which has been successfully used in other life science domains. In this initial effort, we converted 12 different datasets, integrate them and provide a first demonstration of the added value by showing how a set of relevant queries over the integrated data can be answered.
%0 Conference Paper
%1 zaveri2013a
%A Zaveri, Amrapali
%A Nowick, Katja
%A Lehmann, Jens
%B To appear in Proceedings of Ontology and Data in Life Sciences Workshop (ODLS)
%D 2013
%K 2013 MOLE cogevo group_aksw lehmann nowick zaveri
%T Towards Biomedical Data Integration for Analyzing the Evolution of Cognition
%U http://jens-lehmann.org/files/2013/odls_cogevo.pdf
%X Cognition is determined by function and interplay of several hundred if not thousand genes with a considerable overlap in the phenotypes and genes causing different cognitive diseases. We argue that these diseases should not be studied in isolation, but that data allowing to study them should be integrated. Ultimately, this will allow researchers to more easily answer questions, which would otherwise require time-consuming research. Specifically, we propose to use Linked Data publication, data integration and querying methods, which has been successfully used in other life science domains. In this initial effort, we converted 12 different datasets, integrate them and provide a first demonstration of the added value by showing how a set of relevant queries over the integrated data can be answered.
@inproceedings{zaveri2013a,
abstract = {Cognition is determined by function and interplay of several hundred if not thousand genes with a considerable overlap in the phenotypes and genes causing different cognitive diseases. We argue that these diseases should not be studied in isolation, but that data allowing to study them should be integrated. Ultimately, this will allow researchers to more easily answer questions, which would otherwise require time-consuming research. Specifically, we propose to use Linked Data publication, data integration and querying methods, which has been successfully used in other life science domains. In this initial effort, we converted 12 different datasets, integrate them and provide a first demonstration of the added value by showing how a set of relevant queries over the integrated data can be answered.},
added-at = {2024-03-04T14:15:29.000+0100},
author = {Zaveri, Amrapali and Nowick, Katja and Lehmann, Jens},
bdsk-url-1 = {http://svn.aksw.org/papers/2013/ISemantics_DBpediaDQ/public.pdf},
biburl = {https://www.bibsonomy.org/bibtex/268be1de3133fbaec12d44ec586a936eb/aksw},
booktitle = {To appear in Proceedings of Ontology and Data in Life Sciences Workshop (ODLS)},
date-added = {2013-06-04 19:23:09 +0000},
date-modified = {2013-07-11 19:42:46 +0000},
interhash = {b00f2f700950eb937c8d195d137e3007},
intrahash = {68be1de3133fbaec12d44ec586a936eb},
keywords = {2013 MOLE cogevo group_aksw lehmann nowick zaveri},
owner = {Amrapali},
timestamp = {2024-03-04T14:15:29.000+0100},
title = {Towards Biomedical Data Integration for Analyzing the Evolution of Cognition},
url = {http://jens-lehmann.org/files/2013/odls_cogevo.pdf},
year = 2013
}