Purpose This study aims to develop metadata of conceptual elements based on the text structure of research articles on Korean studies, to propose a search algorithm that reflects the combination of semantically relevant data in accordance with the search intention of research paper and to examine the algorithm whether there is a difference in the intention-based search results. Design/methodology/approach This study constructed a metadata database of 5,007 research articles on Korean studies arranged by conceptual elements of text structure and developed F1(w)-score weighted to conceptual elements based on the F1-score and the number of data points from each element. This study evaluated the algorithm by comparing search results of the F1(w)-score algorithm with those of the Term Frequency- Inverse Document Frequency (TF-IDF) algorithm and simple keyword search. Findings The authors find that the higher the F1(w)-score, the closer the semantic relevance of search intention. Furthermore, F1(w)-score generated search results were more closely related to the search intention than those of TF-IDF and simple keyword search. Research limitations/implications Even though the F1(w)-score was developed in this study to evaluate the search results of metadata database structured by conceptual elements of text structure of Korean studies, the algorithm can be used as a tool for searching the database which is a tuning process of weighting required. Practical implications A metadata database based on text structure and a search method based on weights of metadata elements – F1(w)-score – can be useful for interdisciplinary studies, especially for semantic search in regional studies. Originality/value This paper presents a methodology for supporting IR using F1(w)-score—a novel model for weighting metadata elements based on text structure. The F1(w)-score-based search results show the combination of semantically relevant data, which are otherwise difficult to search for using similarity of search words.
本研究旨在基于韩文研究论文的文本结构开发概念元素元数据，提出一种根据研究论文的搜索意图反映语义相关数据组合的搜索算法，并检验该算法在基于意图的搜索结果中是否存在差异。设计/方法学/方法本研究构建了包含5007篇韩国研究论文的元数据数据库，按文本结构的概念要素排列，并根据F1得分和每个要素的数据点数，建立了F1(w)分数对概念要素的加权。本研究通过比较F1(w)-score算法与Term Frequency- Inverse Document Frequency (TF-IDF)算法和简单关键词搜索的搜索结果对算法进行评价。研究发现，F1(w)分数越高，搜索意图的语义相关性越接近。与TF-IDF和简单关键词搜索相比，F1(w)分数生成的搜索结果与搜索意图的关系更为密切。研究局限性/启示虽然本研究开发了F1(w)-score来评价由韩国学文本结构的概念元素构成的元数据数据库的搜索结果，但该算法可以作为搜索数据库的工具，这是一个权重调整的过程。基于文本结构的元数据数据库和基于元数据元素权重F1(w)-score的搜索方法可用于跨学科研究，特别是区域研究中的语义搜索。原创性/价值本文提出了一种使用F1(w)-score(一种基于文本结构对元数据元素进行加权的新模型)来支持IR的方法。基于F1(w)分数的搜索结果显示了语义相关数据的组合，否则使用搜索词的相似性很难搜索到这些数据。
{"title":"Construction of metadata database structured by conceptual elements of text structure and semantic search evaluation of Korean studies","authors":"Y. Ko, Minsun Song, Seung-Jun Lee","doi":"10.1108/EL-03-2021-0055","DOIUrl":"https://doi.org/10.1108/EL-03-2021-0055","url":null,"abstract":"\u0000Purpose\u0000This study aims to develop metadata of conceptual elements based on the text structure of research articles on Korean studies, to propose a search algorithm that reflects the combination of semantically relevant data in accordance with the search intention of research paper and to examine the algorithm whether there is a difference in the intention-based search results.\u0000\u0000\u0000Design/methodology/approach\u0000This study constructed a metadata database of 5,007 research articles on Korean studies arranged by conceptual elements of text structure and developed F1(w)-score weighted to conceptual elements based on the F1-score and the number of data points from each element. This study evaluated the algorithm by comparing search results of the F1(w)-score algorithm with those of the Term Frequency- Inverse Document Frequency (TF-IDF) algorithm and simple keyword search.\u0000\u0000\u0000Findings\u0000The authors find that the higher the F1(w)-score, the closer the semantic relevance of search intention. Furthermore, F1(w)-score generated search results were more closely related to the search intention than those of TF-IDF and simple keyword search.\u0000\u0000\u0000Research limitations/implications\u0000Even though the F1(w)-score was developed in this study to evaluate the search results of metadata database structured by conceptual elements of text structure of Korean studies, the algorithm can be used as a tool for searching the database which is a tuning process of weighting required.\u0000\u0000\u0000Practical implications\u0000A metadata database based on text structure and a search method based on weights of metadata elements – F1(w)-score – can be useful for interdisciplinary studies, especially for semantic search in regional studies.\u0000\u0000\u0000Originality/value\u0000This paper presents a methodology for supporting IR using F1(w)-score—a novel model for weighting metadata elements based on text structure. The F1(w)-score-based search results show the combination of semantically relevant data, which are otherwise difficult to search for using similarity of search words.\u0000","PeriodicalId":330882,"journal":{"name":"Electron. Libr.","volume":"71 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134072144","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}
Purpose The study aims to analyse library user preferences in the willingness to read and pay for e-books, using a sample of both active readers (users of public library services) and non-users (the general population). Design/methodology/approach Two empirical surveys were conducted from August to November of 2019; the research sample consisted of 1,334 users from the Municipal Library of Prague and 1,101 non-users from the general Czech population. The research was focussed on e-book user preferences. The willingness to pay (WTP) for e-book services and the determinants that affect this willingness were also examined. Findings The results show the specific approach of Czech readers, whose main determinant of WTP is not the content, but the price and method of its payment (allocation). Some people prefer a cheaper annual lump sum, whereas others may prefer a charge of small regular fees. The decision to pay depends on their reading or payment habits. Originality/value This study also aims to clarify the demand for various types of digital media in Czech libraries and the preferred distribution models. Furthermore, the study determines the dependence of the preferences of library users in their WTP for e-books using different evaluation models. The originality of this study is in the evaluation of the determinants of WTP for e-books, which makes this study unique, and the findings should contribute to the expansion of existing knowledge in the field of information science.
{"title":"The role of library user preferences in the willingness to read and pay for e-books: case of the Czech Republic","authors":"J. Stejskal, P. Hájek, Viktor Prokop","doi":"10.1108/EL-01-2021-0001","DOIUrl":"https://doi.org/10.1108/EL-01-2021-0001","url":null,"abstract":"\u0000Purpose\u0000The study aims to analyse library user preferences in the willingness to read and pay for e-books, using a sample of both active readers (users of public library services) and non-users (the general population).\u0000\u0000\u0000Design/methodology/approach\u0000Two empirical surveys were conducted from August to November of 2019; the research sample consisted of 1,334 users from the Municipal Library of Prague and 1,101 non-users from the general Czech population. The research was focussed on e-book user preferences. The willingness to pay (WTP) for e-book services and the determinants that affect this willingness were also examined.\u0000\u0000\u0000Findings\u0000The results show the specific approach of Czech readers, whose main determinant of WTP is not the content, but the price and method of its payment (allocation). Some people prefer a cheaper annual lump sum, whereas others may prefer a charge of small regular fees. The decision to pay depends on their reading or payment habits.\u0000\u0000\u0000Originality/value\u0000This study also aims to clarify the demand for various types of digital media in Czech libraries and the preferred distribution models. Furthermore, the study determines the dependence of the preferences of library users in their WTP for e-books using different evaluation models. The originality of this study is in the evaluation of the determinants of WTP for e-books, which makes this study unique, and the findings should contribute to the expansion of existing knowledge in the field of information science.\u0000","PeriodicalId":330882,"journal":{"name":"Electron. Libr.","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122929642","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}
Purpose The purpose of this paper is to propose a graph-based representation approach for evolutionary knowledge under the big data circumstance, aiming to gradually build conceptual models from data. Design/methodology/approach A semantic data model named meaning graph (MGraph) is introduced to represent knowledge concepts to organize the knowledge instances in a graph-based knowledge base. MGraph uses directed acyclic graph–like types as concept schemas to specify the structural features of knowledge with intention variety. It also proposes several specialization mechanisms to enable knowledge evolution. Based on MGraph, a paradigm is introduced to model the evolutionary concept schemas, and a scenario on video semantics modeling is introduced in detail. Findings MGraph is fit for the evolution features of representing knowledge from big data and lays the foundation for building a knowledge base under the big data circumstance. Originality/value The representation approach based on MGraph can effectively and coherently address the major issues of evolutionary knowledge from big data. The new approach is promising in building a big knowledge base.
{"title":"Towards evolutionary knowledge representation under the big data circumstance","authors":"Xuhui Li, Liuyan Liu, Xiaoguang Wang, Yiwen Li, Qingfeng Wu, T. Qian","doi":"10.1108/EL-11-2020-0318","DOIUrl":"https://doi.org/10.1108/EL-11-2020-0318","url":null,"abstract":"\u0000Purpose\u0000The purpose of this paper is to propose a graph-based representation approach for evolutionary knowledge under the big data circumstance, aiming to gradually build conceptual models from data.\u0000\u0000\u0000Design/methodology/approach\u0000A semantic data model named meaning graph (MGraph) is introduced to represent knowledge concepts to organize the knowledge instances in a graph-based knowledge base. MGraph uses directed acyclic graph–like types as concept schemas to specify the structural features of knowledge with intention variety. It also proposes several specialization mechanisms to enable knowledge evolution. Based on MGraph, a paradigm is introduced to model the evolutionary concept schemas, and a scenario on video semantics modeling is introduced in detail.\u0000\u0000\u0000Findings\u0000MGraph is fit for the evolution features of representing knowledge from big data and lays the foundation for building a knowledge base under the big data circumstance.\u0000\u0000\u0000Originality/value\u0000The representation approach based on MGraph can effectively and coherently address the major issues of evolutionary knowledge from big data. The new approach is promising in building a big knowledge base.\u0000","PeriodicalId":330882,"journal":{"name":"Electron. Libr.","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122350812","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}
Purpose The purpose of this paper is to understand the reasons that hinder the use of digital libraries. Design/methodology/approach This study analyzed data obtained through a web survey sent to 14,763 faculty members in Brazilian universities. Of the 6,689 respondents, 1,075 (16.1%) reported not using the Capes digital library and 1,017 answered the questionnaire for non-users. Findings Results showed that the main reasons for non-use are lack of knowledge of the existence of the Capes digital library, use of other resources, preference for printed journals and difficulty of access. Eight factors of non-use were elicited: insufficient dissemination, inadequacies in contents, in infrastructure, in access policy, in training and in the interface, personal constraints and personal attitude. The reasons and factors for non-use were categorized as intrinsic and extrinsic to the digital library. Intrinsic reasons relate to characteristics of the Capes digital library. Extrinsic factors are influenced by user characteristics. The chi-square test demonstrated that the variables: area of knowledge, age, hours dedicated to research and computer skills influence non-use. Originality/value This study has contributed to research about non-users of digital libraries, differing from previous research by surveying a large-scale population and by investigating in a single work the reasons for non-use, other electronic sources used by non-users, advantages of using the digital library and intention of non-users to become users if barriers were removed. Qualitative data complemented the quantitative data collected which allowed a more complete picture of the respondent’s positions.
{"title":"A study of non-users of digital libraries: the case of the Capes digital library in Brazil","authors":"Wesley Rodrigo Fernandes, Beatriz Valadares Cendón","doi":"10.1108/EL-10-2020-0277","DOIUrl":"https://doi.org/10.1108/EL-10-2020-0277","url":null,"abstract":"\u0000Purpose\u0000The purpose of this paper is to understand the reasons that hinder the use of digital libraries.\u0000\u0000\u0000Design/methodology/approach\u0000This study analyzed data obtained through a web survey sent to 14,763 faculty members in Brazilian universities. Of the 6,689 respondents, 1,075 (16.1%) reported not using the Capes digital library and 1,017 answered the questionnaire for non-users.\u0000\u0000\u0000Findings\u0000Results showed that the main reasons for non-use are lack of knowledge of the existence of the Capes digital library, use of other resources, preference for printed journals and difficulty of access. Eight factors of non-use were elicited: insufficient dissemination, inadequacies in contents, in infrastructure, in access policy, in training and in the interface, personal constraints and personal attitude. The reasons and factors for non-use were categorized as intrinsic and extrinsic to the digital library. Intrinsic reasons relate to characteristics of the Capes digital library. Extrinsic factors are influenced by user characteristics. The chi-square test demonstrated that the variables: area of knowledge, age, hours dedicated to research and computer skills influence non-use.\u0000\u0000\u0000Originality/value\u0000This study has contributed to research about non-users of digital libraries, differing from previous research by surveying a large-scale population and by investigating in a single work the reasons for non-use, other electronic sources used by non-users, advantages of using the digital library and intention of non-users to become users if barriers were removed. Qualitative data complemented the quantitative data collected which allowed a more complete picture of the respondent’s positions.\u0000","PeriodicalId":330882,"journal":{"name":"Electron. Libr.","volume":"6 11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115174007","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}
Purpose This study aims to investigate and compare mobile and desktop user search behaviours of the 1300K site, a Korean shopping search engine, by using transaction log analysis. Design/methodology/approach Transaction logs of 1300K site were collected over a three months’ period, from 1 January to 31 March 2018. The data set of this study consists of 1,149,690 desktop queries, 2,346,938 mobile queries, 2,481,747 desktop browsing activities and 2,550,309 mobile browsing activities. This study quantitatively analyses transaction log of 1300K site. Findings The results of this study show that mobile usage is higher than desktop usage: there are more mobile sessions than desktop sessions and the number of mobile queries is more than double of desktop queries. Overall, mobile query search behaviours are more simple, targeted and focused than desktop query search behaviours. Also, mobile browsing behaviours are more simple and passive than desktop browsing behaviours. However, mobile click behaviours are more active than desktop click behaviours. Originality/value To the best of the authors’ knowledge, this study appears to be the first of its type in Korea that compared search behaviours of a large number of users on desktop computers and mobile phones. To identify various characteristics of user search behaviours, this study analyses users’ directory browsing behaviour and click behaviour as well as query search behaviour. The results of this study can be implemented to address the effective improvement and development of search services and interfaces for different devices.
{"title":"Mobile vs desktop user search behaviours of the 1300K site, a Korean shopping search engine","authors":"Soyeon Park, Kihun Cho","doi":"10.1108/EL-09-2020-0261","DOIUrl":"https://doi.org/10.1108/EL-09-2020-0261","url":null,"abstract":"\u0000Purpose\u0000This study aims to investigate and compare mobile and desktop user search behaviours of the 1300K site, a Korean shopping search engine, by using transaction log analysis.\u0000\u0000\u0000Design/methodology/approach\u0000Transaction logs of 1300K site were collected over a three months’ period, from 1 January to 31 March 2018. The data set of this study consists of 1,149,690 desktop queries, 2,346,938 mobile queries, 2,481,747 desktop browsing activities and 2,550,309 mobile browsing activities. This study quantitatively analyses transaction log of 1300K site.\u0000\u0000\u0000Findings\u0000The results of this study show that mobile usage is higher than desktop usage: there are more mobile sessions than desktop sessions and the number of mobile queries is more than double of desktop queries. Overall, mobile query search behaviours are more simple, targeted and focused than desktop query search behaviours. Also, mobile browsing behaviours are more simple and passive than desktop browsing behaviours. However, mobile click behaviours are more active than desktop click behaviours.\u0000\u0000\u0000Originality/value\u0000To the best of the authors’ knowledge, this study appears to be the first of its type in Korea that compared search behaviours of a large number of users on desktop computers and mobile phones. To identify various characteristics of user search behaviours, this study analyses users’ directory browsing behaviour and click behaviour as well as query search behaviour. The results of this study can be implemented to address the effective improvement and development of search services and interfaces for different devices.\u0000","PeriodicalId":330882,"journal":{"name":"Electron. Libr.","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-06-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129703749","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}
Fenfang Cao, Jinchao Zhang, Xianjin Zha, Kunfeng Liu, Haijuan Yang
Purpose Digital libraries and academic search engines have developed as two important online scholarly information sources with different features. The purpose of this study is to compare digital libraries and academic search engines from the perspective of the dual-route model. Design/methodology/approach Research hypotheses were developed. Potential participants were recruited to answer an online survey distributing at Chinese social media out of which 251 responses were deemed to be valid and used for data analysis. The paired samples t-test was used to compare the means. Findings Both information quality (central route) and source credibility (peripheral route) of digital libraries are significantly higher than those of academic search engines, while there is no significant difference between digital libraries and academic search engines in terms of affinity (peripheral route). Practical implications In the digital information society, the important status of digital libraries as conventional information sources should be spread by necessary measures. Academic search engines can act as complementary online information sources for seeking academic information rather than the substitute for digital libraries. Practitioners of digital libraries should value the complementary role of academic search engines and encourage users to use academic search engines while emphasizing the importance of digital libraries as conventional information sources. Originality/value According to the dual-route model, this study compares digital libraries and academic search engines in terms of information quality, source credibility and affinity, which the authors believe presents a new lens for digital libraries research and practice alike.
{"title":"A comparative analysis on digital libraries and academic search engines from the dual-route perspective","authors":"Fenfang Cao, Jinchao Zhang, Xianjin Zha, Kunfeng Liu, Haijuan Yang","doi":"10.1108/EL-09-2020-0265","DOIUrl":"https://doi.org/10.1108/EL-09-2020-0265","url":null,"abstract":"\u0000Purpose\u0000Digital libraries and academic search engines have developed as two important online scholarly information sources with different features. The purpose of this study is to compare digital libraries and academic search engines from the perspective of the dual-route model.\u0000\u0000\u0000Design/methodology/approach\u0000Research hypotheses were developed. Potential participants were recruited to answer an online survey distributing at Chinese social media out of which 251 responses were deemed to be valid and used for data analysis. The paired samples t-test was used to compare the means.\u0000\u0000\u0000Findings\u0000Both information quality (central route) and source credibility (peripheral route) of digital libraries are significantly higher than those of academic search engines, while there is no significant difference between digital libraries and academic search engines in terms of affinity (peripheral route).\u0000\u0000\u0000Practical implications\u0000In the digital information society, the important status of digital libraries as conventional information sources should be spread by necessary measures. Academic search engines can act as complementary online information sources for seeking academic information rather than the substitute for digital libraries. Practitioners of digital libraries should value the complementary role of academic search engines and encourage users to use academic search engines while emphasizing the importance of digital libraries as conventional information sources.\u0000\u0000\u0000Originality/value\u0000According to the dual-route model, this study compares digital libraries and academic search engines in terms of information quality, source credibility and affinity, which the authors believe presents a new lens for digital libraries research and practice alike.\u0000","PeriodicalId":330882,"journal":{"name":"Electron. Libr.","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-06-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128030637","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}
Purpose The purpose of this paper is to construct an indicator framework for evaluating open health data portals from the perspective of user experience (UX) to reduce users' learning costs, save their time and energy and strengthen the emotional connection with users, thereby encouraging them to actively use open health data. Design/methodology/approach This study uses card sorting, Delphi and analytic hierarchy process to determine the weights of indicators for evaluating open health data portals. Then, this study uses a coding method to score, evaluate and compare the selection of more than 120 open health data portals supported by organizations in more than 100 countries or regions that are in the World's top confirmed cases of COVID-19 as released by the World Health Organization. Findings At present, open health data portals have shortcomings with regard to UX. Different types of open health data portals vary significantly in the dimensions of technical experience and functional experience, but the differences in the dimensions of aesthetic experience, emotional experience and content experience are not significant. Originality/value The constructed open health data portal evaluation indicator framework introduces users' actual application needs and proposes optimization suggestions for the portal to meet the needs of users to quickly obtain, reliable and accurate health data.
{"title":"Evaluation of open health data portals for COVID-19 from the perspective of the user experience","authors":"Dan Wu, L. Ma, Hui Zhang","doi":"10.1108/EL-01-2021-0011","DOIUrl":"https://doi.org/10.1108/EL-01-2021-0011","url":null,"abstract":"Purpose The purpose of this paper is to construct an indicator framework for evaluating open health data portals from the perspective of user experience (UX) to reduce users' learning costs, save their time and energy and strengthen the emotional connection with users, thereby encouraging them to actively use open health data. Design/methodology/approach This study uses card sorting, Delphi and analytic hierarchy process to determine the weights of indicators for evaluating open health data portals. Then, this study uses a coding method to score, evaluate and compare the selection of more than 120 open health data portals supported by organizations in more than 100 countries or regions that are in the World's top confirmed cases of COVID-19 as released by the World Health Organization. Findings At present, open health data portals have shortcomings with regard to UX. Different types of open health data portals vary significantly in the dimensions of technical experience and functional experience, but the differences in the dimensions of aesthetic experience, emotional experience and content experience are not significant. Originality/value The constructed open health data portal evaluation indicator framework introduces users' actual application needs and proposes optimization suggestions for the portal to meet the needs of users to quickly obtain, reliable and accurate health data.","PeriodicalId":330882,"journal":{"name":"Electron. Libr.","volume":"46 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-06-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122216728","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}
Purpose This study aims to develop a Web-based application system called Infomediary of Taiwanese Indigenous Peoples (ITIP) that can help individuals comprehend the society and culture of indigenous people. The ITIP is based on the use of Semantic Web technologies to integrate a number of data sources, particularly including the bibliographic records of a museum. Moreover, an ontology model was developed to help users search cultural collections by topic concepts. Design/methodology/approach Two issues were identified that needed to be addressed: the integration of heterogeneous data sources and semantic-based information retrieval. Two corresponding methods were proposed: SPARQL federated queries were designed for data integration across the Web and ontology-driven queries were designed to semantically search by knowledge inference. Furthermore, to help users perform searches easily, three searching interfaces, namely, ethnicity, region and topic, were developed to take full advantage of the content available on the Web. Findings Most open government data provides structured but non-resource description framework data, Semantic Web consumers, therefore, require additional data conversion before the data can be used. On the other hand, although the library, archive and museum (LAM) community has produced some emerging linked data, very few data sets are released to the general public as open data. The Semantic Web’s vision of “web of data” remains challenging. Originality/value This study developed data integration from various institutions, including those of the LAM community. The development was conducted based on the mode of non-institution members (i.e. institutional outsiders). The challenges encountered included uncertain data quality and the absence of institutional participation.
{"title":"Applications of Semantic Web in integrating open data and bibliographic records: a development example of an infomediary of Taiwanese indigenous people","authors":"Han-Yu Sung, Yu-Liang Chi","doi":"10.1108/EL-09-2020-0258","DOIUrl":"https://doi.org/10.1108/EL-09-2020-0258","url":null,"abstract":"\u0000Purpose\u0000This study aims to develop a Web-based application system called Infomediary of Taiwanese Indigenous Peoples (ITIP) that can help individuals comprehend the society and culture of indigenous people. The ITIP is based on the use of Semantic Web technologies to integrate a number of data sources, particularly including the bibliographic records of a museum. Moreover, an ontology model was developed to help users search cultural collections by topic concepts.\u0000\u0000\u0000Design/methodology/approach\u0000Two issues were identified that needed to be addressed: the integration of heterogeneous data sources and semantic-based information retrieval. Two corresponding methods were proposed: SPARQL federated queries were designed for data integration across the Web and ontology-driven queries were designed to semantically search by knowledge inference. Furthermore, to help users perform searches easily, three searching interfaces, namely, ethnicity, region and topic, were developed to take full advantage of the content available on the Web.\u0000\u0000\u0000Findings\u0000Most open government data provides structured but non-resource description framework data, Semantic Web consumers, therefore, require additional data conversion before the data can be used. On the other hand, although the library, archive and museum (LAM) community has produced some emerging linked data, very few data sets are released to the general public as open data. The Semantic Web’s vision of “web of data” remains challenging.\u0000\u0000\u0000Originality/value\u0000This study developed data integration from various institutions, including those of the LAM community. The development was conducted based on the mode of non-institution members (i.e. institutional outsiders). The challenges encountered included uncertain data quality and the absence of institutional participation.\u0000","PeriodicalId":330882,"journal":{"name":"Electron. Libr.","volume":"65 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-06-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122994340","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}
Purpose Suggested tag was considered as one of the critical factors affecting a user’s tagging behaviour. However, compared to the findings on the suggested tags for the monolingual environment, it still lacks focused studies on the tag suggestions for cross-language information. Therefore, this paper aims to concern with annotation behaviour and psychological cognition in the cross-language environment when suggested tags are provided. Design/methodology/approach A cross-language tagging experiment was conducted to explore the impact of suggested tags on the tagging results and process. The descriptive statistics of tags, the sources and semantic relations of tags, as well as the user’s psychological cognition were all measured in the test. Findings The experimental results demonstrated that the multilingual suggested tags could bring some costs to a user’s tagging perception. Furthermore, the language factor of suggested tags led to different paths of tagging imitation (reflected by longer semantic mapping and imitation at the visual level) and different cognitive processes (topic extraction and inference process). Originality/value To the best of the authors’ knowledge, this study is one of the first to emphasize the effect of suggested tags during multilingual tagging. The findings will enrich the theories of user-information interaction in the cross-language environment and, in turn, provide practical implications for tag-based information system design.
{"title":"The effect of multilingual suggested tags on cross-language information tagging behaviour","authors":"Xiaoyue Ma, Siya Zhang, Pengwei Zhao","doi":"10.1108/EL-07-2020-0177","DOIUrl":"https://doi.org/10.1108/EL-07-2020-0177","url":null,"abstract":"\u0000Purpose\u0000Suggested tag was considered as one of the critical factors affecting a user’s tagging behaviour. However, compared to the findings on the suggested tags for the monolingual environment, it still lacks focused studies on the tag suggestions for cross-language information. Therefore, this paper aims to concern with annotation behaviour and psychological cognition in the cross-language environment when suggested tags are provided.\u0000\u0000\u0000Design/methodology/approach\u0000A cross-language tagging experiment was conducted to explore the impact of suggested tags on the tagging results and process. The descriptive statistics of tags, the sources and semantic relations of tags, as well as the user’s psychological cognition were all measured in the test.\u0000\u0000\u0000Findings\u0000The experimental results demonstrated that the multilingual suggested tags could bring some costs to a user’s tagging perception. Furthermore, the language factor of suggested tags led to different paths of tagging imitation (reflected by longer semantic mapping and imitation at the visual level) and different cognitive processes (topic extraction and inference process).\u0000\u0000\u0000Originality/value\u0000To the best of the authors’ knowledge, this study is one of the first to emphasize the effect of suggested tags during multilingual tagging. The findings will enrich the theories of user-information interaction in the cross-language environment and, in turn, provide practical implications for tag-based information system design.\u0000","PeriodicalId":330882,"journal":{"name":"Electron. Libr.","volume":"84 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-06-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115576027","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":"An empirical examination of open source software adoption in US public libraries","authors":"Namjoo Choi","doi":"10.1108/EL-01-2021-0013","DOIUrl":"https://doi.org/10.1108/EL-01-2021-0013","url":null,"abstract":"","PeriodicalId":330882,"journal":{"name":"Electron. Libr.","volume":"58 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132648019","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}
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