An Evaluation of Metadata Integrity in Textual Documents

Isinkaye, Folasade Olubusola; Robert, Arnaud; Ojokoh, Bolanle Adefowoke

doi:10.1080/19386389.2012.652565

Cited by 3 publications

(3 citation statements)

References 5 publications

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“…However, the problem has not been extensively studied (Park 2009;Ochoa and Duval 2009). This is particularly surprising given that there is abundant evidence that meta-data collected manually or automatically is of low quality (Isinkaye et al 2012;Lex et al 2012;Blanco et al 2011). One of the difficulties is in defining the concept of meta-data quality.…”

Section: Related Workmentioning

confidence: 99%

“…In this work, we assume that meta-data concerns data that characterizes other data. According to Isinkaye et al (2012), there exist three types of meta-data: administrative, descriptive and structural. Administrative meta-data provides information that helps in tracking and managing information resources, as for example, copyright and licensing information.…”

Section: Related Workmentioning

confidence: 99%

“…Another example, in Nichols et al (2008) the authors describe a web based meta-data quality tool that provides statistical descriptions and visualizations of Dublin Core meta-data harvested via the OAI protocol. As a final example, in Isinkaye et al (2012) a set of rules and norms are proposed in order to guarantee the integrity and the consistent usage of metadata. The rules and norms define in what form and with what logical constraints meta-data fields can be filled.…”

Section: Related Workmentioning

confidence: 99%

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Using statistics, visualization and data mining for monitoring the quality of meta-data in web portals

Domingues

Soares

Jorge

2012

Inf Syst E-Bus Manage

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The goal of many web portals is to select, organize and distribute content in order to satisfy its users/customers. This process is usually based on metadata that represent and describe content. In this paper we describe a methodology and a system to monitor the quality of the meta-data used to describe content in web portals. The methodology is based on the analysis of the meta-data using statistics, visualization and data mining tools. The methodology enables the site's editor to detect and correct problems in the description of contents, thus improving the quality of the web portal and the satisfaction of its users. We also define a general architecture for a system to support the proposed methodology. We have implemented this system and tested it on a Portuguese portal for management executives. The results validate the methodology proposed. Keywords Web data analysis Á Meta-data quality Á Quality of process Á Content management Á Web portals This paper extends and details the work presented in Soares et al. (2005) and Domingues et al. (2006).

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Section: Related Workmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

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Using statistics, visualization and data mining for monitoring the quality of meta-data in web portals

Domingues

Soares

Jorge

2012

Inf Syst E-Bus Manage

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Minimalist Fitted Bayesian Classifier-Based on Likelihood Estimations and Bag-of-Words

Bourguet

Silva

Oliveira

2021

Linking Theory and Practice of Digital Libraries

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Metadata Effectiveness in Internet Discovery: An Analysis of Digital Collection Metadata Elements and Internet Search Engine Keywords

Yang

2016

CRL

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This study analyzed digital item metadata and keywords from Internet search engines to learn what metadata elements actually facilitate discovery of digital collections through Internet keyword searching and how significantly each metadata element affects the discovery of items in a digital repository. The study found that keywords from Internet search engines matched values in eight metadata elements and resulted in landing visits to the digital repository. Findings of the study indicate that three specific metadata elements are effective in enhancing discoverability of digital collections through Internet search engines, including Dublin Core metadata elements Title, Description, and Subject. n recent decades, the rapid increase in the number of digital repositories has called for in-depth research on metadata quality evaluations. As Ann Windnagel claimed, the success of a digital repository depends largely on the quality of its metadata. 1 Discussions about metadata evaluation and evaluation criteria have lasted for more than a decade. Relevant issues including metadata definition, primary purpose, and functionality perspectives have all been examined. Although several evaluation standards of metadata quality exist, there is no one answer to the question of how to evaluate metadata quality. 2 In the literature, discoverability issues are the focus receiving the most impact in several metadata evaluation standards. As items are put into digital repositories instead of the catalog, they move out of the controlled environment of the library. The metadata records, instead of just having to work within a system search, also have to be effective for external indexing by search engines in order to be found. Challenges of deploying metadata to the Internet to facilitate information discovery and retrieval have persisted for nearly twenty years; however, few studies have been conducted to test the effectiveness of metadata on online resource discovery by search engines. No relevant studies on metadata effectiveness between digital collections and search engines are found in the current literature.This article aims to examine the implemented metadata of a digital collection and to evaluate the metadata effectiveness on digital resource discovery by Internet search

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An Evaluation of Metadata Integrity in Textual Documents

Cited by 3 publications

References 5 publications

Using statistics, visualization and data mining for monitoring the quality of meta-data in web portals

Using statistics, visualization and data mining for monitoring the quality of meta-data in web portals

Minimalist Fitted Bayesian Classifier-Based on Likelihood Estimations and Bag-of-Words

Metadata Effectiveness in Internet Discovery: An Analysis of Digital Collection Metadata Elements and Internet Search Engine Keywords

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