• Journal of Computing Science and Engineering
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• v.2 no.3
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• pp.221-248
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• 2008

Data provenance is the background knowledge that enables a piece of data to be interpreted and used correctly within context. The importance of tracking provenance is widely recognized, as witnessed by significant research in various areas including e-science, homeland security, and data warehousing and business intelligence. In order to further advance the research on data provenance, however, one must first understand the research that has been conducted to date and identify specific topics that merit further investigation. In this work, we develop a framework based on semiotics theory to assist in analyzing and comparing existing provenance research at the conceptual level. We provide a detailed review of data provenance research and compare and contrast the research based on d semiotics framework. We conclude with an identification of challenges that will drive future research in this field.

• Journal of Information Processing Systems
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• v.12 no.2
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• pp.234-248
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• 2016

Due to the proliferation of data being exchanged and the increase of dependency on this data for critical decision-making, it has become imperative to ensure the trustworthiness of the data at the receiving end in order to obtain reliable results. Data provenance, the derivation history of data, is a useful tool for evaluating the trustworthiness of data. Various frameworks have been proposed to evaluate the trustworthiness of data based on data provenance. In this paper, we briefly review a history of these frameworks for evaluating the trustworthiness of data and present an overview of some prominent state-of-the-art evaluation frameworks. Moreover, we provide a comparative analysis of two key frameworks by evaluating various aspects in an executional environment. Our analysis points to various open research issues and provides an understanding of the functionalities of the frameworks that are used to evaluate the trustworthiness of data.

• Journal of Digital Convergence
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• v.11 no.6
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• pp.175-185
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• 2013

For effective information sharing, data provenance semantics need to be managed effectively. Based on a scheme to represent data provenance semantics, we propose a model to calculate information sharing costs. Information sharing costs are derived from probabilities of type I and type II errors that occur in organizational information sharing, costs related to these errors, and information sharing distances between organizational units which are determined by information sharing workflows. We apply the model to various types of information sharing workflows including departmental information systems, hierarchical information systems, a hub and a stand-alone system. The calculated information sharing costs show that the hub with data standardization is best in information sharing; however without standardization its information sharing cost deteriorates to that of a departmental information system. And, any information sharing workflow is better than a stand-alone system. It is proved that the model is useful in analyzing effectiveness of information sharing workflows and their characteristics.

• Journal of the Korean Society for Library and Information Science
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• v.8
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• pp.209-232
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• 1981

The study aims at bringing to the attentions of Korean librarians the ways and means with government publications, which had hardly been brought to the scene yet. It deals with the characteristics of archives and the nature of an archival arrangement based on 'the principle of provenance' ; the characteristics of government publications in relation to the adequacy of an archival arrangement; the three major devices in use for organizing government publications; and introduction to two sample classification systems. The study concludes with a notion that a vast reservoir of information sources(government publications) should be tapped and put to the use of researchers without delays inherent in library processing. It advocates an archival arrangement for economy and efficiency.

• The Korean Journal of Archival Studies
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• no.1
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• pp.7-22
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• 2000

It is almost impossible to fulfill the users' information needs efficiently without any finding aids. The idiosyncrasy of archival materials had led the archivists to develop their own descriptive rules until the mid of 1980s. It was the arrival of computers and information networks that stimulated the archival community to standardize its variant descriptive practices. The primary purpose of the national and international archival description standards is to facilitate the cooperative archival data exchange. The Ad Hoc Commission on Descriptive Standards of the International Council on Archives adopted ISAD(G) and ISAAR(CPF) in 1993 and in 1995 respectively. ISAD(G) guides the formulation of information in each of 26 elements that may be combined to constitute the description of an archival entity. ISAAR(CPF) is to give general rules for the establishment of archival authority records in descriptions of archival documents. Histories, structures and fundamental principles of those two international archival standards have been studies in this article. Most of the present archival description standards are based on the principle of provenance and the authority model. The instability of modern organizations and the digitalization of record keeping systems have been making the archivists to review these basic archival principles. It is suggested that Korean archival community should attempt to draft a national archival descriptive standard suitable to the Korean archival practice and Korean language in the framework of the international standards.