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The Electronic Library
Journal Prestige (SJR): 0.44
Citation Impact (citeScore): 1
Number of Followers: 1098  
 
  Hybrid Journal Hybrid journal (It can contain Open Access articles)
ISSN (Print) 0264-0473
Published by Emerald Homepage  [345 journals]
  • Executable platform for managing customizable metadata of educational
           resources
    • Pages: 962 - 978
      Abstract: The Electronic Library, Volume 36, Issue 6, Page 962-978, December 2018.
      Purpose The purpose of this research is to enable dynamic customization of metadata that describes educational resources in digital repositories. Design/methodology/approach Users need to describe educational resources in digital repositories according to a user-specific metadata set. As users generally do not have the skills to customize the software application manually, this approach relies on the techniques of model-driven software engineering, which should allow customization of the software application programmatically with no need to develop or order a new software application. An experiment was conducted to evaluate the proposed solution. Findings A software platform for managing educational resources described by dynamically extendable metadata is proposed. The platform enables the creation of data models that are programmatically transformed to a Web application for the management of educational resources. In this way, users can create their own models of metadata that are relevant in a particular domain. Research limitations/implications The solution has been verified by users with technical knowledge. The appropriateness of the model should still be explored for domain experts with little technical knowledge who desire to define new metadata in their domain. Practical implications The solution can be used for digital repositories that store diverse educational resources. Each resource could be described using metadata that relates to the domain the resource belongs to. Originality/value Digital repositories standardly describe educational resources using some general metadata, which are more focused on the physical characteristics of resources rather than their semantics. The proposed solution introduces custom domain-specific semantics into the description of the resources, which improves their retrieval.
      Citation: The Electronic Library
      PubDate: 2018-10-31T02:35:22Z
      DOI: 10.1108/EL-04-2017-0079
       
  • Mapping worldwide research on the Internet of Things during 2011-2016
    • Pages: 979 - 992
      Abstract: The Electronic Library, Volume 36, Issue 6, Page 979-992, December 2018.
      Purpose The Internet of Things (IoT) has attracted wide attention from researchers to address the potential of this technology in various industries recently. This study aims to investigate different characteristics of worldwide research on the IoT using bibliometrics, network analysis and altmetrics. Growth of the literature, publication types, languages, publication countries and research subjects are addressed. The scientific and social impact of the journal articles has also been examined using citation and altmetrics scores. Design/methodology/approach The Scopus database was searched for articles indexed under the terms “Internet of Thing*” or “IoT” or “Internet of Everything*” or “Web of Thing*”, and a total of 13,725 articles from 2011 to 2016 were retrieved and analysed. Findings There was a continuous increase in the number of publications per year over the period, with a 6.7-fold rise in the number of publications, with the highest share of research output (4,989) published in 2016. Contribution of authors at the micro, meso and macro levels was analysed. About 89 per cent of total publications were the result of collaborative efforts, and Asia-Pacific was responsible for almost 53 per cent of world scientific production of IoT literature. Generally, the IoT research are found in publications concentrating on computer networks and communications, electrical and electronic engineering and computer science applications. The results also showed that the presence of IoT research on the social web is still low, with 6.8 per cent of total publications presenting some altmetric activity. Research limitations/implications The work reported is limited to only Scopus-indexed publications. While the search methodology aimed to be as inclusive as possible, it may not have captured all scholarly research output in the IoT world. Practical implications The findings of this study may help researchers understand the performance of IoT research from across the world and suggest directions for further research. Originality/value This paper reviews the literature of the IoT in past five years using rigorous bibliometric, altmetric and network analysis tools.
      Citation: The Electronic Library
      PubDate: 2018-10-05T01:08:41Z
      DOI: 10.1108/EL-09-2017-0196
       
  • Managing mining project documentation using human language technology
    • Pages: 993 - 1009
      Abstract: The Electronic Library, Volume 36, Issue 6, Page 993-1009, December 2018.
      Purpose This paper aims to develop a system, which would enable efficient management and exploitation of documentation in electronic form, related to mining projects, with information retrieval and information extraction (IE) features, using various language resources and natural language processing. Design/methodology/approach The system is designed to integrate textual, lexical, semantic and terminological resources, enabling advanced document search and extraction of information. These resources are integrated with a set of Web services and applications, for different user profiles and use-cases. Findings The use of the system is illustrated by examples demonstrating keyword search supported by Web query expansion services, search based on regular expressions, corpus search based on local grammars, followed by extraction of information based on this search and finally, search with lexical masks using domain and semantic markers. Originality/value The presented system is the first software solution for implementation of human language technology in management of documentation from the mining engineering domain, but it is also applicable to other engineering and non-engineering domains. The system is independent of the type of alphabet (Cyrillic and Latin), which makes it applicable to other languages of the Balkan region related to Serbian, and its support for morphological dictionaries can be applied in most morphologically complex languages, such as Slavic languages. Significant search improvements and the efficiency of IE are based on semantic networks and terminology dictionaries, with the support of local grammars.
      Citation: The Electronic Library
      PubDate: 2018-11-12T03:05:48Z
      DOI: 10.1108/EL-11-2017-0239
       
  • Considering online consumer reviews to predict movie box-office
           performance between the years 2009 and 2014 in the US
    • Pages: 1010 - 1026
      Abstract: The Electronic Library, Volume 36, Issue 6, Page 1010-1026, December 2018.
      Purpose The purpose of this paper is to combine basic movie information factors, external factors and review factors, to predict box-office performance and identify the most crucial factor of influence for box-office performance. Design/methodology/approach Five movie genres and first-week movie reviews found on IMDb were collected. The movie reviews were quantified using sentiment analysis tools SentiStrength and Stanford CoreNLP, in which quantified data were combined with basic movie information and external environment factors to predict movie box-office performance. A movie box-office performance prediction model was then developed using data mining (DM) technologies with M5 model trees (M5P), linear regression (LR) and support vector regression (SVR), after which movie box-office performance predictions were made. Findings The results of this paper showed that the inclusion of movie reviews generated more accurate prediction results. Concerning movie review-related factors, the one that exhibited the greatest effect on box-office performance was the number of movie reviews made, whereas movie review content only displayed an effect on box-office performance for specific movie genres. Research limitations/implications Because this paper collected movie data from the IMDb, the data were limited and primarily consisted of movies released in the USA; data pertaining to less popular movies or those released outside of the USA were, thus, insufficient. Practical implications This paper helps to verify whether the consideration of the features extracted from movie reviews can improve the performance of movie box-office. Originality/value Through various DM technologies, this paper shows that movie reviews enhanced the accuracy of box-office performance predictions and the content of movie reviews has an effect on box-office performance.
      Citation: The Electronic Library
      PubDate: 2018-10-16T02:56:52Z
      DOI: 10.1108/EL-02-2018-0040
       
  • Predicting readers’ domain knowledge based on eye-tracking measures
    • Pages: 1027 - 1042
      Abstract: The Electronic Library, Volume 36, Issue 6, Page 1027-1042, December 2018.
      Purpose This paper aims to examine the effect of domain knowledge on eye-tracking measures and predict readers’ domain knowledge from these measures in a navigational table of contents (N-TOC) system. Design/methodology/approach A controlled experiment of three reading tasks was conducted in an N-TOC system for 24 postgraduates of Wuhan University. Data including fixation duration, fixation count and inter-scanning transitions were collected and calculated. Participants’ domain knowledge was measured by pre-experiment questionnaires. Logistic regression analysis was leveraged to build the prediction model and the model’s performance was evaluated based on baseline model. Findings The results showed that novices spent significantly more time in fixating on text area than experts, because of the difficulty of understanding the information of text area. Total fixation duration on text area (TFD_T) was a significantly negative predictor of domain knowledge. The prediction performance of logistic regression model using eye-tracking measures was better than baseline model, with the accuracy, precision and F(β = 1) scores to be 0.71, 0.86, 0.79. Originality/value Little research has been reported in literature on investigation of domain knowledge effect on eye-tracking measures during reading and prediction of domain knowledge based on eye-tracking measures. Most studies focus on multimedia learning. With respect to the prediction of domain knowledge, only some studies are found in the field of information search. This paper makes a good contribution to the literature on the effect of domain knowledge on eye-tracking measures during N-TOC reading and predicting domain knowledge.
      Citation: The Electronic Library
      PubDate: 2018-09-24T08:59:40Z
      DOI: 10.1108/EL-05-2017-0108
       
  • DRAA e-resources usage statistics services in China: research and practice
    • Pages: 1043 - 1061
      Abstract: The Electronic Library, Volume 36, Issue 6, Page 1043-1061, December 2018.
      Purpose This paper aims to share some experiences and practical activities related to the use and management of usage data in the Digital Resource Acquisition Alliance of Chinese Academic Libraries (DRAA) as a reference for library consortia engaged in providing usage statistics services of e-resources to member libraries. Design/methodology/approach A literature review and online survey are used to analyze the research and practice of e-resources usage statistics conducted internationally. The case of DRAA is introduced to present how DRAA develops usage statistics services and promotes the implementation of the Standardized Usage Statistics Harvesting Initiative (SUSHI) to deliver usage statistics to member libraries. Future developments and enhancements are also described. Findings The main actions taken by DRAA to develop usage statistics services are as follows: development of the DRAA Usage Statistics Portal to provide a single point of access to usage statistics from participating publishers on behalf of member libraries; development of a SUSHI client, taking the lead in promoting SUSHI implementation to automatically obtain usage statistics in Chinese academic libraries; establishment of a working group on usage statistics and the China Academic Library and Information System/DRAA Standards and Recommended Practices Research Task Group to form a long-term mechanism for monitoring and gathering usage statistics; and strengthening of the understanding and application of standards and best practices for libraries and vendors in China. Scheduled enhancements in the future include a deep analysis and utilization of usage statistics, the promotion of Counting Online Usage of NeTworked Electronic Resources and SUSHI to Chinese academic resource publishers and raising awareness about normalizing usage statistics. Originality/value This paper has pertinence and wider implications for library consortia engaged in providing e-resources usage statistics services to member libraries.
      Citation: The Electronic Library
      PubDate: 2018-09-27T07:51:25Z
      DOI: 10.1108/EL-01-2018-0002
       
  • Evaluation of the accessibility of archival cartographic documents in
           digital libraries
    • Pages: 1062 - 1081
      Abstract: The Electronic Library, Volume 36, Issue 6, Page 1062-1081, December 2018.
      Purpose This paper aims to present the authors’ attempts to evaluate the access to archival maps available in digital libraries. Its aim was to pinpoint the factors determining the effectiveness of access to old maps and to evaluate which Polish libraries provide resources in such a way as to give the users the best chance of finding the materials necessary for their research. Design/methodology/approach The presented research focussed on archival documents from academic libraries accessible from the Polish Digital Libraries Federation and available from Europeana Collections. The evaluation criteria were established along with features that determine the level of difficulty of access to data describing archival documents. The research took into account the way of recording the data about archival documents in metadata. The authors have also analysed the quantity of available resources and the consistency of metadata record. Findings The results of the research have demonstrated that one-third of the analysed libraries deserve a positive evaluation. The digital library of the Warsaw University and the Jagiellonian Digital Library received the best scores in terms of the description of archival documents. Considering the number of resources, the Jagiellonian Digital Library and the Digital Library of the University of Wrocław are positively distinguished. Originality/value The method of evaluating the access to archival maps has been developed. The criteria and features necessary for this evaluation and the way of their interpretation have also been defined. The future goals leading to the improvement of the access to the archival maps have been also presented.
      Citation: The Electronic Library
      PubDate: 2018-09-21T01:47:22Z
      DOI: 10.1108/EL-06-2017-0130
       
  • Online digital library sampling based on query related graph
    • Pages: 1082 - 1098
      Abstract: The Electronic Library, Volume 36, Issue 6, Page 1082-1098, December 2018.
      Purpose Digital library sampling is used to obtain a collection of random literature records from the backend database, which is a crucial issue for a variety of important purposes in many online digital library applications. Digital libraries can only be accessed through their query interfaces. The challenge is how to ensure the randomness of the sample via the autonomous query interface. Design/methodology/approach This paper presents an iterative and incremental approach to obtain samples through the query interface of a digital library. In the approach, a novel graph model, query-related graph, is proposed to transform the flat literature records into a graph structure, and samples are obtained iteratively by traveling the query-related graph. Besides query-related graph, the key components, query generation, termination condition and amending deviation, are also discussed in detail. Findings The extensive experiments over two real digital libraries, ISTIC and IEEE Xplore, show the proposed approach results in a better performance. First, the approach is very effective to obtain high-quality samples which are evaluated by the measure “sample deviation.” Second, the sampling process is very efficient by only submitting fewer random queries. Third, the approach is robust. Research limitations/implications This sampling approach is limited by the query interfaces on a web page. In rare cases (
      Citation: The Electronic Library
      PubDate: 2018-09-18T12:10:54Z
      DOI: 10.1108/EL-08-2017-0163
       
  • Case studies and comparison between two models for assessing library
           service quality
    • Pages: 1099 - 1113
      Abstract: The Electronic Library, Volume 36, Issue 6, Page 1099-1113, December 2018.
      Purpose This study aims to describe case studies of two models, LibQUAL+ and a model based on the analytic hierarchy process (AHP), used to assess library service quality and compare the two assessment models. Design/methodology/approach First, an AHP-based evaluation model is set up to assess library service quality, following which the model is adapted to assess the service quality of Nanjing Agricultural University Library. Second, a modified LibQUAL+ model is created and implemented in the form of a questionnaire survey to assess the library service quality of the same library. Finally, the two assessment models are compared. Findings The results of the two case studies indicate that LibQUAL+ is suitable for assessing Chinese university libraries after modified, and the library AHP model is more suitable for comparing libraries in China between themselves. Originality/value This paper uses two methods for assessing library service quality; this should prove to be helpful for the librarians interested in assessing the service quality of Chinese university libraries.
      Citation: The Electronic Library
      PubDate: 2018-09-18T12:15:13Z
      DOI: 10.1108/EL-11-2016-0246
       
  • A service-oriented context-awareness reasoning framework and its
           implementation
    • Pages: 1114 - 1134
      Abstract: The Electronic Library, Volume 36, Issue 6, Page 1114-1134, December 2018.
      Purpose This paper aims to propose an extensible, service-oriented framework for context-aware data acquisition, description, interpretation and reasoning, which facilitates the development of mobile applications that provide a context-awareness service. Design/methodology/approach First, the authors propose the context data reasoning framework (CDRFM) for generating service-oriented contextual information. Then they used this framework to composite mobile sensor data into low-level contextual information. Finally, the authors exploited some high-level contextual information that can be inferred from the formatted low-level contextual information using particular inference rules. Findings The authors take “user behavior patterns” as an exemplary context information generation schema in their experimental study. The results reveal that the optimization of service can be guided by the implicit, high-level context information inside user behavior logs. They also prove the validity of the authors’ framework. Research limitations/implications Further research will add more variety of sensor data. Furthermore, to validate the effectiveness of our framework, more reasoning rules need to be performed. Therefore, the authors may implement more algorithms in the framework to acquire more comprehensive context information. Practical implications CDRFM expands the context-awareness framework of previous research and unifies the procedures of acquiring, describing, modeling, reasoning and discovering implicit context information for mobile service providers. Social implications Support the service-oriented context-awareness function in application design and related development in commercial mobile software industry. Originality/value Extant researches on context awareness rarely considered the generation contextual information for service providers. The CDRFM can be used to generate valuable contextual information by implementing more reasoning rules.
      Citation: The Electronic Library
      PubDate: 2018-09-27T07:56:29Z
      DOI: 10.1108/EL-04-2017-0096
       
  • A Chinese legal intelligent auxiliary discretionary adviser based on GA-BP
           NNs
    • Pages: 1135 - 1153
      Abstract: The Electronic Library, Volume 36, Issue 6, Page 1135-1153, December 2018.
      Purpose This paper aims to build a legal intelligent auxiliary discretionary system for predicting the penalty and damage compensation values. After extensively considering current the characteristics of the current Chinese legal system, a practical legal intelligent auxiliary discretionary system based on genetic algorithm-backpropagation (GA-BP) neural network (NN) is proposed herein. Design/methodology/approach An experiment is designed to analyze cases involving mental anguish compensation in medical disputes, and a Chinese legal intelligent auxiliary discretionary adviser system is built based on a GA-BP NN. Because BP neural networks perform well for nonlinear problems and GAs can improve their ability to find optimal values, and accelerate their convergence, a combined GA–BP algorithm is used. In addition, an ontology is used to reduce the semantic ambiguities and extract the implied semantic information. Findings We confirm that a case-based legal intelligent auxiliary discretionary adviser system based on a GA-BP NN and ontology techniques has good performance in prediction. By predicting the mental anguish compensation values, the legal intelligent auxiliary discretionary adviser system can help judges to handle cases more quickly and ordinary people to discover the suggested compensation or penalty. In contrast to BP NN or SVM, the result seems more close to the actual compensation rate. Practical implications Recently, smart court has been developed in China; the purpose of which is to build the legal advice system for improving judicial justice and reducing differences in sentencing. A practical legal advice system is an urgent requirement for the judiciary. Originality/value This paper presents a study of a case-based legal intelligent auxiliary discretionary adviser system based on a GA-BP NN and ontology techniques. The findings offer advice to optimize legal intelligent auxiliary discretionary adviser systems for mental anguish compensation in medical disputes.
      Citation: The Electronic Library
      PubDate: 2018-10-25T08:40:37Z
      DOI: 10.1108/EL-03-2017-0056
       
  • An approach for the protection of users’ book browsing preference
           privacy in a digital library
    • Pages: 1154 - 1166
      Abstract: The Electronic Library, Volume 36, Issue 6, Page 1154-1166, December 2018.
      Purpose The problem of privacy protection in digital libraries is causing people to have increasingly extensive concerns. This study aims to design an approach to protect the preference privacy behind users’ book browsing behaviors in a digital library. Design/methodology/approach This paper proposes a client-based approach, whose basic idea is to construct a group of plausible book browsing dummy behaviors, and submit them together with users’ true behaviors to the untrusted server, to cover up users’ sensitive preferences. Findings Both security analysis and evaluation experiment demonstrate the effectiveness of the approach, which can ensure the privacy security of users’ book browsing preferences on the untrusted digital library server, without compromising the usability, accuracy and efficiency of book services. Originality/value To the best of the authors’ knowledge, this paper provides the first attempt to the protection of users’ behavior privacy in digital libraries, which will have a positive influence on the development of privacy-preserving libraries in the new network era.
      Citation: The Electronic Library
      PubDate: 2018-10-30T01:16:56Z
      DOI: 10.1108/EL-07-2017-0162
       
  • A bibliometric analysis of inventory management research based on
           knowledge mapping
    • Abstract: The Electronic Library, Ahead of Print.
      Purpose The research mainly aims at the hotspot of inventory management by knowledge mapping and provides a visualization reference in this research field. Design/methodology/approach First, inventory management journals during 1986 to 2017 were selected as the research object and text formatting in the Web of Science (WOS) database is exported. Then inventory management knowledge mapping is done and clustering keywords are extracted by using CiteSpace and VOSviewer software. Based on co-word analysis, the three special clusters are exported: inventory optimization strategy, inventory pricing and inventory technology. Besides, the clustering structure and time evolution are analysed. Finally, bibliographic item co-occurrence matrix builder (BICOMB) was used to extract the “journal” and “researchers” keywords in the inventory management research fields. Setting three parameters such as the cited half-life, centrality, frequency and keywords for data mining, it can infer the trend keywords of future research. Findings Results showed that inventory management research has been abundant in literature over the past 30 years and has experienced a change from focusing on inventory optimization strategy to inventory pricing and inventory technology in process. It shows that inventory management research focused on the classic topics and includes economic order quantity, dynamic pricing, design and technology, and the new topics include channel coordination, hierarchical price and simulation. Research limitations/implications Based on knowledge mapping, this study is still relatively macro and cannot cover all areas of inventory management. This study only investigated the state of correlational research in WOS and Google Trends and not additional databases. Originality/value The current research mainly builds on knowledge mapping for the research hotspot of inventory management and provides visual references for future research in this field.
      Citation: The Electronic Library
      PubDate: 2018-12-14T03:40:33Z
      DOI: 10.1108/EL-11-2017-0241
       
  • Grey literature archiving pattern in open access (OA) repositories with
           special emphasis on Indian OA repositories
    • Abstract: The Electronic Library, Ahead of Print.
      Purpose This paper aims to examine the grey literature archiving pattern at open-access repositories with special reference to Indian open-access repositories. Design/methodology/approach The Bielefeld Academic Search Engine (BASE) was used to collect data from different document types archived by open-access repositories across the world. Data were collected by advanced search and browse features available at the BASE on document types, the number of repositories by country wise and Indian academic and research repositories. Data were tabulated using MS Excel for further analysis. Findings Findings indicated that open-access repositories across the world are primarily archiving reviewed literature. Grey literature is archived more at European and North American repositories compared to rest of the world. Reports, theses, dissertations and data sets are the major grey document types archived. In India, a significant contributor to the BASE index with 146 open-access sources, reviewed literature is the largest archived document types, and grey literature is above world average due to the presence of theses and dissertations at repositories of academic institutions. Originality/value Grey literature is considered as valuable sources of information for research and development. The study enables to get insights about the amount of grey content archived at open-access repositories. These findings can further be used to investigate the reasons/technology limitations for the lesser volume of grey content in repositories. Furthermore, this study helps to better understand the grey literature archiving pattern and need for corrective measures based on the success stories of repositories of Europe and North America.
      Citation: The Electronic Library
      PubDate: 2018-12-04T02:40:16Z
      DOI: 10.1108/EL-05-2018-0100
       
  • Method for automatic key concepts extraction
    • Abstract: The Electronic Library, Ahead of Print.
      Purpose Ontology of a domain mainly consists of a set of concepts and their semantic relations. It is typically constructed and maintained by using ontology editors with substantial human intervention. It is desirable to perform the task automatically, which has led to the development of ontology learning techniques. One of the main challenges of ontology learning from the text is to identify key concepts from the documents. A wide range of techniques for key concept extraction have been proposed but are having the limitations of low accuracy, poor performance, not so flexible and applicability to a specific domain. The propose of this study is to explore a new method to extract key concepts and to apply them to literature in the nuclear domain. Design/methodology/approach In this article, a novel method for key concept extraction is proposed and applied to the documents from the nuclear domain. A hybrid approach was used, which includes a combination of domain, syntactic name entity knowledge and statistical based methods. The performance of the developed method has been evaluated from the data obtained using two out of three voting logic from three domain experts by using 120 documents retrieved from SCOPUS database. Findings The work reported pertains to extracting concepts from the set of selected documents and aids the search for documents relating to given concepts. The results of a case study indicated that the method developed has demonstrated better metrics than Text2Onto and CFinder. The method described has the capability of extracting valid key concepts from a set of candidates with long phrases. Research limitations/implications The present study is restricted to literature coming out in the English language and applied to the documents from nuclear domain. It has the potential to extend to other domains also. Practical implications The work carried out in the current study has the potential of leading to updating International Nuclear Information System thesaurus for ontology in the nuclear domain. This can lead to efficient search methods. Originality/value This work is the first attempt to automatically extract key concepts from the nuclear documents. The proposed approach will address and fix the most of the problems that are existed in the current methods and thereby increase the performance.
      Citation: The Electronic Library
      PubDate: 2018-11-30T04:10:48Z
      DOI: 10.1108/EL-01-2018-0012
       
  • Towards digital scholarship services in China’s university libraries
    • Abstract: The Electronic Library, Ahead of Print.
      Purpose This paper aims to report on a literature review that aimed to establish a guiding framework for the development of digital scholarship services in China’s university libraries. Design/methodology/approach The framework was developed through systematically searching, screening, assessing, coding and aggregating digital scholarship services as reported in the existing body of literature. Three types of literature were included in the analysis: international academic literature as reported in English; academic literature in Chinese; and relevant professional reports. Findings The literature analysis pointed to 25 different digital scholarship services, which emerged in six themes: supporting services, formulating research ideas, locating research partners, writing proposals, conducting research and publishing results. Originality/value Although this literature review focused on university libraries in China, the research findings and the guiding framework developed provide useful insights and indications that can be shared across international borders.
      Citation: The Electronic Library
      PubDate: 2018-11-13T02:51:14Z
      DOI: 10.1108/EL-04-2018-0074
       
 
 
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