scholarly journals Knowledge organisation and govern-for-flexibility in manufacturing

Author(s):  
R. C. Michelini ◽  
G. L. Kovács
2015 ◽  
Vol 14 (02) ◽  
pp. 1550002 ◽  
Author(s):  
Denise A. D. Bedford

Information landscape is a critical component of professional and scholarly disciplines. Established disciplines have a managed information foundation covering primary, secondary and tertiary sources, targeted search capabilities, discipline-specific knowledge organisation tools and services, and quality controlled review processes. The information landscapes of emerging disciplines may be more chaotic and unsettled, and present challenges for professionals. This research considers the information landscape of the knowledge management discipline. An open public survey of knowledge professionals provides insights into three factors that affect the landscape including: (1) information awareness; (2) information use and access; and (3) information valuation. Findings highlight key information management challenges, and offer suggestions for solutions.


Author(s):  
Olaronke O. Fagbola

Indexing and abstracting are like Siamese twins in the information retrieval process. Indexing and abstracting are the two approaches to distilling information content into an abbreviated, but comprehensive representation of an information resource(s). They are knowledge organisation tools which usually provide detailed and accurate maps and road signs in the information superhighway. Digital libraries are characterised by an electronic stock of information which can be accessed via computers, and are extension and augmentations of physical libraries in digital forms. They are information retrieval systems (a device interposed between a potential user of information and the information itself) which provide opportunities to access and retrieve information that is often accessible for a variety of reasons. This chapter presents a literature review on indexing and abstracting, information retrieval process, digital libraries pointing out the importance of indexing and abstracting in the information retrieving process and then highlighting the roles played by indexing and abstracting as tools for information retrieval in digital libraries. The chapter posits that indexing and abstracting plays a significant role as information retrieval tools in digital libraries.


Author(s):  
Justin J. H. Buck ◽  
Roy K. Lowry

In this chapter the authors look at technological issues within and the influence of technological developments outside oceanography on two very different, but interrelated, facets of ocean data: the labelling of parameters and the autonomous collection of oceanographic data. In particular, consideration is given to the influence of standards developed within computer science, such as Sensor Web Enablement (SWE), Resource Description Framework (RDF) and the Simple Knowledge Organisation System (SKOS). It is shown that the development of autonomy in oceanographic data collection is highly dependent on semantically sound data and metadata with presentation of related issues such as unambiguous data citation, resolution of systematic biases and integration of data from complementary but independently governed oceanographic observation programmes.


2006 ◽  
Vol 55 (5) ◽  
pp. 291-300 ◽  
Author(s):  
George Macgregor ◽  
Emma McCulloch

2017 ◽  
Vol 35 (1) ◽  
pp. 69-98 ◽  
Author(s):  
Paul Alonso Gaona-García ◽  
David Martin-Moncunill ◽  
Carlos Enrique Montenegro-Marin

Purpose This paper aims to present an overview of the challenges encountered in integrating visual search interfaces into digital libraries and repositories. These challenges come in various forms, including information visualisation, the use of knowledge organisation systems and metadata quality. The main purpose of this study is the identification of criteria for the evaluation and integration of visual search interfaces, proposing guidelines and recommendations to improve information retrieval tasks with emphasis on the education-al context. Design/methodology/approach The information included in this study was collected based on a systematic literature review approach. The main information sources were explored in several digital libraries, including Science Direct, Scopus, ACM and IEEE, and include journal articles, conference proceedings, books, European project reports and deliverables and PhD theses published in an electronic format. A total of 142 studies comprised the review. Findings There are several issues that authors did not fully discuss in this literature review study; more specific, aspects associated with access of digital resources in digital libraries and repositories based on human computer interaction, i.e. usability and learnability of user interfaces; design of a suitable navigation method of search based on simple knowledge organisation schemes; and the use of usefulness of visual search interfaces to locate relevant resources. Research limitations/implications The main steps for carrying out a systematic review are drawn from health care; this methodology is not commonly used in fields such as digital libraries and repositories. The authors aimed to apply the fundamentals of the systematic literature review methodology considering the context of this study. Additionally, there are several aspects of accessibility that were not considered in the study, such as accessibility to content for disabled people as defined by ISO/IEC 40500:2012. Originality/value No other systematic literature reviews have been conducted in this field. The research presents an in-depth analysis of the criteria associated with searching and navigation methods based on the systematic literature review approach. The analysis is relevant for researchers in the field of digital library and repository creation in that it may direct them to considerations in designing and implementing visual search interfaces based on the use of information visualisation.


2015 ◽  
Vol 39 (3) ◽  
pp. 326-345 ◽  
Author(s):  
David Martín-Moncunill ◽  
Miguel-Ángel Sicilia-Urban ◽  
Elena García-Barriocanal ◽  
Salvador Sánchez-Alonso

Purpose – Large terminologies usually contain a mix of terms that are either generic or domain specific, which makes the use of the terminology itself a difficult task that may limit the positive effects of these systems. The purpose of this paper is to systematically evaluate the degree of domain specificity of the AGROVOC controlled vocabulary terms as a representative of a large terminology in the agricultural domain and discuss the generic/specific boundaries across its hierarchy. Design/methodology/approach – A user-oriented study with domain-experts in conjunction with quantitative and systematic analysis. First an in-depth analysis of AGROVOC was carried out to make a proper selection of terms for the experiment. Then domain-experts were asked to classify the terms according to their domain specificity. An evaluation was conducted to analyse the domain-experts’ results. Finally, the resulting data set was automatically compared with the terms in SUMO, an upper ontology and MILO, a mid-level ontology; to analyse the coincidences. Findings – Results show the existence of a high number of generic terms. The motivation for several of the unclear cases is also depicted. The automatic evaluation showed that there is not a direct way to assess the specificity degree of a term by using SUMO and MILO ontologies, however, it provided additional validation of the results gathered from the domain-experts. Research limitations/implications – The “domain-analysis” concept has long been discussed and it could be addressed from different perspectives. A resume of these perspectives and an explanation of the approach followed in this experiment is included in the background section. Originality/value – The authors propose an approach to identify the domain specificity of terms in large domain-specific terminologies and a criterion to measure the overall domain specificity of a knowledge organisation system, based on domain-experts analysis. The authors also provide a first insight about using automated measures to determine the degree to which a given term can be considered domain specific. The resulting data set from the domain-experts’ evaluation can be reused as a gold standard for further research about these automatic measures.


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