Program-Electronic Library and Information Systems最新文献

{"title":"Web directories: selected features and their impact on directory quality","authors":"Adam Jachimczyk, M. Chrapek, Zbigniew Chrapek","doi":"10.1108/PROG-08-2014-0060","DOIUrl":"https://doi.org/10.1108/PROG-08-2014-0060","url":null,"abstract":"Purpose \u0000 \u0000 \u0000 \u0000– The purpose of this paper is statistical examination of nearly 7,000 web directories and an analysis of factors which affect their quality measured by PageRank. \u0000 \u0000 \u0000 \u0000 \u0000Design/methodology/approach \u0000 \u0000 \u0000 \u0000– The authors analysed 6,821 directories registered at www.katalogiseo.info/. The following information about the directories was examined: the year of registration on the website, the directory’s PageRank value, the existence of an active IP address, backlink requests, a fee charged for submission to the directory, as well as directory moderation and subject. Statistical analyses were performed with the use of Microsoft Excel, version 2010, and R software, version 3.0.0. The PageRank values were collected with a software written in Python. \u0000 \u0000 \u0000 \u0000 \u0000Findings \u0000 \u0000 \u0000 \u0000– The study has shown a gradual increase in popularity of directories as one of the basic tools in search engine optimisation. The analysis has indicated a relatively high percentage of spam web directories. The evidence of this is the number of directories with undetermined PageRank values. The study revealed that careful management of a directory and its subject have key impact on directory quality measured by PageRank. \u0000 \u0000 \u0000 \u0000 \u0000Originality/value \u0000 \u0000 \u0000 \u0000– Relatively few publications focus on the problem of web directories which represent a very large group of websites created solely to manipulate web search engine rankings. This paper discusses the phenomenon of web directories, reveals the percentage of spam directories, and factors which affect their quality measured by PageRank.","PeriodicalId":49663,"journal":{"name":"Program-Electronic Library and Information Systems","volume":"50 1","pages":"340-352"},"PeriodicalIF":0.0,"publicationDate":"2016-06-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1108/PROG-08-2014-0060","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"62198530","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Added value in the context of research information systems","authors":"M. Nabavi, K. Jeffery, Hamid R. Jamali","doi":"10.1108/PROG-10-2015-0067","DOIUrl":"https://doi.org/10.1108/PROG-10-2015-0067","url":null,"abstract":"Purpose – The purpose of this paper is to discuss added value in the context of current research information systems (CRISs) based on metadata enrichment. Design/methodology/approach – This discussion paper uses literature review as well as analysis of CRISs specifications to discuss added value possibilities. Findings – Added value of the CRISs is in their integration and interoperability with the same and similar information systems. Since metadata plays key roles in interoperability of information systems, therefore focussing on metadata-related issue can add considerable values to CRISs. Two types of metadata can be distinguished in every CRISs including macro- and micro-metadata. In terms of macro-metadata common European research information format (CERIF) by itself is an added value for CRIS because it draws a complete view of the research landscape including entities and their relations. CERIF metadata structure is designed in such a way that supports micro- and macro-metadata. Originality/value –...","PeriodicalId":49663,"journal":{"name":"Program-Electronic Library and Information Systems","volume":"50 1","pages":"325-339"},"PeriodicalIF":0.0,"publicationDate":"2016-06-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1108/PROG-10-2015-0067","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"62199392","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Using a semantic wiki for technology forecast and technology monitoring","authors":"Michael Färber","doi":"10.1108/PROG-06-2015-0043","DOIUrl":"https://doi.org/10.1108/PROG-06-2015-0043","url":null,"abstract":"Purpose – The purpose of this paper is to present extensions of Semantic MediaWiki for the purpose of technology forecast and technology monitoring. The user friendliness and applicability of the components is evaluated by task-based user studies. Design/methodology/approach – Based on the requirements given by potential end users (technology experts), visualization possibilities were designed and implemented. Potential users used the new features of technology forecast and monitoring within a semantic wiki and were controlled regarding the effectiveness. Findings – Although semantic wikis are ideal tools for knowledge management in industry settings, especially due to their user-friendly way of storing and retrieving knowledge, they have rarely been used for technology forecast and monitoring purposes so far. The authors show that the additional requirements for such purposes can be met and provide established technology analysis possibilities within Semantic MediaWiki. In that way, a new application are...","PeriodicalId":49663,"journal":{"name":"Program-Electronic Library and Information Systems","volume":"50 1","pages":"225-242"},"PeriodicalIF":0.0,"publicationDate":"2016-03-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1108/PROG-06-2015-0043","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"62197998","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Proposed metrics for data accessibility in the context of linked open data","authors":"Mahdi Zahedi Nooghabi, Akram Fathian Dastgerdi","doi":"10.1108/PROG-01-2015-0007","DOIUrl":"https://doi.org/10.1108/PROG-01-2015-0007","url":null,"abstract":"– One of the most important categories in linked open data (LOD) quality models is “data accessibility.” The purpose of this paper is to propose some metrics and indicators for assessing data accessibility in LOD and the semantic web context. , – In this paper, at first the authors consider some data quality and LOD quality models to review proposed subcategories for data accessibility dimension in related texts. Then, based on goal question metric (GQM) approach, the authors specify the project goals, main issues and some questions. Finally, the authors propose some metrics for assessing the data accessibility in the context of the semantic web. , – Based on GQM approach, the authors determined three main issues for data accessibility, including data availability, data performance, and data security policy. Then the authors created four main questions related to these issues. As a conclusion, the authors proposed 27 metrics for measuring these questions. , – Nowadays, one of the main challenges regarding data quality is the lack of agreement on widespread quality metrics and practical instruments for evaluating quality. Accessibility is an important aspect of data quality. However, few researches have been done to provide metrics and indicators for assessing data accessibility in the context of the semantic web. So, in this research, the authors consider the data accessibility dimension and propose a comparatively comprehensive set of metrics.","PeriodicalId":49663,"journal":{"name":"Program-Electronic Library and Information Systems","volume":"50 1","pages":"184-194"},"PeriodicalIF":0.0,"publicationDate":"2016-03-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1108/PROG-01-2015-0007","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"62195777","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Adoption of DSpace by Indian libraries","authors":"Surendran Cherukodan, S. HumayoonKabir","doi":"10.1108/PROG-08-2014-0059","DOIUrl":"https://doi.org/10.1108/PROG-08-2014-0059","url":null,"abstract":"Purpose – India occupies second position among the countries that have adopted DSpace open source software for institutional repositories (IRs)/digital libraries (DLs). The purpose of this paper is to examine the reasons for DSpace being preferred over other software. It inspects various instances of Indian web-based DSpace systems including the nature and growth of collection, the geographical distribution of DSpace systems and the types of institutions that adopt and maintain DSpace. Design/methodology/approach – Data were collected from the official website of DSpace, Google search and from online discussion forums during July 2013 to January 2014. The 132 Indian DSpace links provided in the official DSpace website were examined. Further search was carried out on Google to identify Indian IRs and DLs that are not listed by the official website. A list of Indian DSpace websites prepared by the authors was sent to the online discussion forums for further updating. An online directory of Indian DSpace web...","PeriodicalId":49663,"journal":{"name":"Program-Electronic Library and Information Systems","volume":"50 1","pages":"175-183"},"PeriodicalIF":0.0,"publicationDate":"2016-03-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1108/PROG-08-2014-0059","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"62198407","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Exploring the relationship between web presence and web usability for universities: A case study from Turkey","authors":"Serhat Peker, S. K. Cavdar, K. Cagiltay","doi":"10.1108/PROG-04-2014-0024","DOIUrl":"https://doi.org/10.1108/PROG-04-2014-0024","url":null,"abstract":"Purpose \u0000 \u0000 \u0000 \u0000– The purpose of this paper is to statistically explore the relationship between web usability and web presence of the universities. As a case study, five Turkish universities in different rankings which were selected from Webometrics rankings were evaluated and compared. \u0000 \u0000 \u0000 \u0000 \u0000Design/methodology/approach \u0000 \u0000 \u0000 \u0000– Two different methods were employed for performing usability evaluation of the selected universities: a user testing was used to measure the user performance on the selected tasks and a questionnaire to assess the user satisfaction on the website use. Both usability evaluation methods were applied on the pre-determined tasks for each university by participation of 20 subjects. After the usability evaluation, the universities were ranked in terms of usability results and finally, the relationship between web usability and web presence of universities was statistically investigated by using Kendall’s rank correlation. \u0000 \u0000 \u0000 \u0000 \u0000Findings \u0000 \u0000 \u0000 \u0000– Several common usability problems which were asserted by related previous studies were identified at the end of usability evaluation of university websites. The usability results also revealed that selected Turkish university websites suffer from numerous usability problems. Further, a strong positive correlation (p < 0.05) between the usability of the university websites and their web presences were identified. Hence, the participants showed a higher success and satisfaction while performing the tasks on the university websites which have strong web presences. \u0000 \u0000 \u0000 \u0000 \u0000Practical implications \u0000 \u0000 \u0000 \u0000– The findings from this study have practical implications for universities. Correlation results showed that universities can improve their web usability by giving importance to their web presence volumes. Universities can estimate their web usability levels by investigating their web presence rankings and they can also raise their rankings in Webometrics ranking system by improving the usability of their websites. Moreover, university web developers can design more usable and more user-friendly websites by avoiding usability and design problems identified through usability evaluation. \u0000 \u0000 \u0000 \u0000 \u0000Originality/value \u0000 \u0000 \u0000 \u0000– Different from the prior research efforts focussing on usability of educational web pages, this study contributes to the growing literature by statistically exploring the relationship between web presence and web usability of universities. This study is also precious from the point of view that it is one of the first attempts to evaluate and compare usability levels of a set of universities’ websites from Turkey.","PeriodicalId":49663,"journal":{"name":"Program-Electronic Library and Information Systems","volume":"50 1","pages":"157-174"},"PeriodicalIF":0.0,"publicationDate":"2016-03-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1108/PROG-04-2014-0024","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"62197166","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Selecting new product development team members with knowledge sharing approach: A fuzzy bi-objective optimization model","authors":"Peyman Akhavan, S. M. Hosseini, M. Abbasi","doi":"10.1108/PROG-04-2015-0033","DOIUrl":"https://doi.org/10.1108/PROG-04-2015-0033","url":null,"abstract":"Purpose – The purpose of this paper is to provide a method for selection of the new product development (NPD) project team members, in such a way to maximize the expertise level of team members and at the same time, optimize knowledge sharing in the organization. Design/methodology/approach – According to the motivation-opportunity-ability framework, knowledge sharing antecedents were determined. Then, the problem of selecting appropriate members of the project team was formulated as a bi-objective integer non-linear programming model. Due to the uncertainty conditions in the evaluation of candidates, the fuzzy sets approach was used for modeling. To solve the problem, first, the non-linear programming model was converted to a linear model. Subsequently, the fuzzy bi-objective linear programming problem was solved by using an approximate algorithm. Findings – Results of applying the proposed method to an Iranian ship-building company showed its effectiveness in selecting appropriate members of the project...","PeriodicalId":49663,"journal":{"name":"Program-Electronic Library and Information Systems","volume":"50 1","pages":"195-214"},"PeriodicalIF":0.0,"publicationDate":"2016-03-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1108/PROG-04-2015-0033","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"62197253","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"De-duplicating a large crowd-sourced catalogue of bibliographic records","authors":"Ilija Subasic, N. Gvozdenovic, Kris Jack","doi":"10.1108/PROG-02-2015-0021","DOIUrl":"https://doi.org/10.1108/PROG-02-2015-0021","url":null,"abstract":"Purpose – The purpose of this paper is to describe a large-scale algorithm for generating a catalogue of scientific publication records (citations) from a crowd-sourced data, demonstrate how to learn an optimal combination of distance metrics for duplicate detection and introduce a parallel duplicate clustering algorithm. Design/methodology/approach – The authors developed the algorithm and compared it with state-of-the art systems tackling the same problem. The authors used benchmark data sets (3k data points) to test the effectiveness of our algorithm and a real-life data ( > 90 million) to test the efficiency and scalability of our algorithm. Findings – The authors show that duplicate detection can be improved by an additional step we call duplicate clustering. The authors also show how to improve the efficiency of map/reduce similarity calculation algorithm by introducing a sampling step. Finally, the authors find that the system is comparable to the state-of-the art systems for duplicate detection, a...","PeriodicalId":49663,"journal":{"name":"Program-Electronic Library and Information Systems","volume":"50 1","pages":"138-156"},"PeriodicalIF":0.0,"publicationDate":"2016-03-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1108/PROG-02-2015-0021","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"62196700","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A hybrid PSO with Naïve Bayes classifier for disengagement detection in online learning","authors":"Gopalakrishnan Thirumoorthy, P. Sengottuvelan","doi":"10.1108/PROG-07-2015-0047","DOIUrl":"https://doi.org/10.1108/PROG-07-2015-0047","url":null,"abstract":"– The ultimate objective of the any e-Learning system is to meet the specific need of the online learners and provide them with various features to have efficacious learning experiences by understanding their complexities. Any e-Learning system could be much more improved by tracking students commitment and disengagement on that course, in turn, would allow system to have personalized involvements at appropriate times in order to re-engage learners. Motivations play a important role to get back the learners on the track could be done by analyzing of several attributes of the log files. This paper aims to analyze the multiple attributes which cause the learners to disengage from an online learning environment. , – For this improvisation, Web based learning system is researched using data mining techniques in education. There are various attributes characterized for the disengagement prediction using web log file analysis. Though, there have been several attempts to include motivating characteristics in e-Learning systems are adapted, presently influence on cognition is acknowledged mostly. , – Classification is one of the predictive data mining technique which makes prediction about values of data using known results found from different data sets. To find out the optimal solution for identifying disengaged learners in the online learning systems, Naive Bayesian (NB) classifier with Particle Swarm Optimization (PSO) algorithm is used which will classify the data set and then perform the independent analysis. , – The experimental results shows that the use of unrelated variables in the class attributes will reduce the accuracy and reliability of a any classification model. However, the hybrid PSO algorithm is clearly more apt to find minor subsets of attributes than the PSO with NB classifier. The NB classifier combined with hybrid PSO feature selection method proves to be the best feature selection capability without degrading the classification accuracy. It is further proved to be an effective method for mining large structural data in much less computation time.","PeriodicalId":49663,"journal":{"name":"Program-Electronic Library and Information Systems","volume":"50 1","pages":"215-224"},"PeriodicalIF":0.0,"publicationDate":"2016-03-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1108/PROG-07-2015-0047","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"62198210","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"EM3B2 - a semantic integration engine for materials science","authors":"Chongchong Zhao, C. Dong, Xiaoming Zhang","doi":"10.1108/PROG-01-2015-0004","DOIUrl":"https://doi.org/10.1108/PROG-01-2015-0004","url":null,"abstract":"Purpose – The integration and retrieval of the vast data have attracted sufficient attention, thus the W3C workgroup releases R2RML to standardize the transformation from relational data to semantic-aware data. However, it only provides a data transform mechanism to resource description framework (RDF). The generation of mapping alignments still needs manual work or other algorithms. Therefore, the purpose of this paper is to propose a domain-oriented automatic mapping method and an application of the R2RML standard. Design/methodology/approach – In this paper, materials science is focussed to show an example of domain-oriented mapping. source field concept and M3B2 (Metal Materials Mapping Background Base) knowledge bases are established to support the auto-recommending algorithm. As for the generation of RDF files, the idea is to generate the triples and the links, respectively. The links of the triples follow the object-subject relationship, and the links of the object properties can be achieved by the...","PeriodicalId":49663,"journal":{"name":"Program-Electronic Library and Information Systems","volume":"50 1","pages":"58-82"},"PeriodicalIF":0.0,"publicationDate":"2016-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1108/PROG-01-2015-0004","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"62196242","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}