Creator of Knowledge
Information Resources Management Association
Advancing the Concepts & Practices of Information Resources Management in Modern Organizations

Experiments in Information Extraction

Experiments in Information Extraction
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Author(s): Soraya Abad-Mota (Universidad Simón Bolívar, Venezuela) and Eduardo Ruiz I. (Universidad Simón Bolívar, Venezuela)
Copyright: 2006
Pages: 4
Source title: Emerging Trends and Challenges in Information Technology Management
Source Editor(s): Mehdi Khosrow-Pour, D.B.A. (Information Resources Management Association, USA)
DOI: 10.4018/978-1-59904-019-6.ch049
ISBN13: 9781616921286
EISBN13: 9781466665361


Large scientific research efforts whether they are in academia, government or the private sector are usually comprised of diverse and geographically separated teams that collect data using various methods. The information that comprises a scientific study is often created in large quantities and vastly different formats and structures. Results may be produced from different software applications using a range of protocols, databases, and operating systems, creating a “Complex Data Object”. The computing industry, and more precisely, the field of knowledge management is faced with the significant challenge of how to best administer these digital assets in a fashion that provides efficient authoring and collaboration capabilities in the distributed team environment while still maintaining the historical scientific record. While ongoing efforts are addressing the problem of wide-area data management, less attention has been given to accurately capturing the scientific record of interest. In December 2004, at a Department of Energy (DOE) National Collaboratory Workshop, the “fossil record of science” was identified as a critical issue [1]. The purpose of this research is to prove that the complex data object (CDO) can be transformed into a Digital Preservation Object (DPO) in order to meet the requirements for data provenance and long-term archival. The second step of this research is to then prove that the inverse is also true, that a DPO can be extracted and transformed back to the same state as the original CDO for future inquiry.

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