Scientific Data Management Center Scientific Data Integration

Critchlow, T J ; Liu, L ; Pu, C ; Gupta, A ; Ludaescher, B ; Altintas, I ; Vouk, M ; Bitzer, D ; Singh, M ; Rosnick, D

Lawrence Livermore National Laboratory

关键词: Data Base Management;    Information Dissemination;    Information Retrieval;    Internet;    99 General And Miscellaneous//Mathematics, Computing, And Information Science;   

DOI  :  10.2172/15003250
RP-ID  :  UCRL-ID-151771
RP-ID  :  W-7405-ENG-48
RP-ID  :  15003250

美国|英语

来源: UNT Digital Library

【 摘 要 】

The Internet is becoming the preferred method for disseminating scientific data from a variety of disciplines. This has resulted in information overload on the part of the scientists, who are unable to query all of the relevant sources, even if they knew where to find them, what they contained, how to interact with them, and how to interpret the results. Thus instead of benefiting from this information rich environment, scientists become experts on a small number of sources and use those sources almost exclusively. Enabling information based scientific advances, in domains such as functional genomics, requires fully utilizing all available information. We are developing an end-to-end solution using leading-edge automatic wrapper generation, mediated query, and agent technology that will allow scientists to interact with more information sources than currently possible. Furthermore, by taking a workflow-based approach to this problem, we allow them to easily adjust the dataflow between the various sources to address their specific research needs.