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1 – 10 of 287Judit Gárdos, Julia Egyed-Gergely, Anna Horváth, Balázs Pataki, Roza Vajda and András Micsik
The present study is about generating metadata to enhance thematic transparency and facilitate research on interview collections at the Research Documentation Centre, Centre for…
Abstract
Purpose
The present study is about generating metadata to enhance thematic transparency and facilitate research on interview collections at the Research Documentation Centre, Centre for Social Sciences (TK KDK) in Budapest. It explores the use of artificial intelligence (AI) in producing, managing and processing social science data and its potential to generate useful metadata to describe the contents of such archives on a large scale.
Design/methodology/approach
The authors combined manual and automated/semi-automated methods of metadata development and curation. The authors developed a suitable domain-oriented taxonomy to classify a large text corpus of semi-structured interviews. To this end, the authors adapted the European Language Social Science Thesaurus (ELSST) to produce a concise, hierarchical structure of topics relevant in social sciences. The authors identified and tested the most promising natural language processing (NLP) tools supporting the Hungarian language. The results of manual and machine coding will be presented in a user interface.
Findings
The study describes how an international social scientific taxonomy can be adapted to a specific local setting and tailored to be used by automated NLP tools. The authors show the potential and limitations of existing and new NLP methods for thematic assignment. The current possibilities of multi-label classification in social scientific metadata assignment are discussed, i.e. the problem of automated selection of relevant labels from a large pool.
Originality/value
Interview materials have not yet been used for building manually annotated training datasets for automated indexing of scientifically relevant topics in a data repository. Comparing various automated-indexing methods, this study shows a possible implementation of a researcher tool supporting custom visualizations and the faceted search of interview collections.
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Ahmad Nadzri Mohamad, Allan Sylvester and Jennifer Campbell-Meier
This study aimed to develop a taxonomy of research areas in open government data (OGD) through a bibliometric mapping tool and a qualitative analysis software.
Abstract
Purpose
This study aimed to develop a taxonomy of research areas in open government data (OGD) through a bibliometric mapping tool and a qualitative analysis software.
Design/methodology/approach
In this study, the authors extracted metadata of 442 documents from a bibliographic database. The authors used a bibliometric mapping tool for familiarization with the literature. After that, the authors used qualitative analysis software to develop taxonomy.
Findings
This paper developed taxonomy of OGD with three research areas: implementation and management, architecture, users and utilization. These research areas are further analyzed into seven topics and twenty-eight subtopics. The present study extends Charalabidis et al. (2016) taxonomy by adding two research topics, namely the adoption factors and barriers of OGD implementations and OGD ecosystems. Also, the authors include artificial intelligence in the taxonomy as an emerging research interest in the literature. The authors suggest four directions for future research: indigenous knowledge in open data, open data at local governments, development of OGD-specific theories and user studies in certain research themes.
Practical implications
Early career researchers and doctoral students can use the taxonomy to familiarize themselves with the literature. Also, established researchers can use the proposed taxonomy to inform future research. Taxonomy-building procedures in this study are applicable to other fields.
Originality/value
This study developed a novel taxonomy of research areas in OGD. Taxonomy building is significant because there is insufficient taxonomy of research areas in this discipline. Also, conceptual knowledge through taxonomy creation is a basis for theorizing and theory-building for future studies.
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This paper is a critique of Western modernity and the problems and promises of postmodernism in (re)liberating disaster studies. It criticizes metanarratives and grand theories of…
Abstract
Purpose
This paper is a critique of Western modernity and the problems and promises of postmodernism in (re)liberating disaster studies. It criticizes metanarratives and grand theories of Western discourses to advance postmodern discourses in disaster studies.
Design/methodology/approach
This paper outlines a conceptual domain through which approaches of postmodernism can be employed to (re)liberate disaster studies.
Findings
Metanarratives and grand theories frame the scope and focus of disaster studies. But the increasing number and the aggravated impacts of disasters and environmental challenges in the late 20th and early 21st centuries are proofs that our current “frames” do not capture the complexities of disasters. Postmodernism, in its diversity and various meanings, offers critical and complementary perspectives and approaches to capture the previously neglected dimensions of disasters.
Research limitations/implications
Postmodernism offers ways forward to (re)liberate disaster studies through ontological pluralism, epistemological diversity and hybridity of knowledge.
Originality/value
The agenda of postmodernism in disaster studies is proposed in terms of the focus of inquiry, ontological and epistemological positionalities, research paradigm, methodologies and societal goals.
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Despite ongoing research into archival metadata standards, digital archives are unable to effectively represent records in their appropriate contexts. This study aims to propose a…
Abstract
Purpose
Despite ongoing research into archival metadata standards, digital archives are unable to effectively represent records in their appropriate contexts. This study aims to propose a knowledge graph that depicts the diverse relationships between heterogeneous digital archive entities.
Design/methodology/approach
This study introduces and describes a method for applying knowledge graphs to digital archives in a step-by-step manner. It examines archival metadata standards, such as Records in Context Ontology (RiC-O), for characterising digital records; explains the process of data refinement, enrichment and reconciliation with examples; and demonstrates the use of knowledge graphs constructed using semantic queries.
Findings
This study introduced the 97imf.kr archive as a knowledge graph, enabling meaningful exploration of relationships within the archive’s records. This approach facilitated comprehensive record descriptions about different record entities. Applying archival ontologies with general-purpose vocabularies to digital records was advised to enhance metadata coherence and semantic search.
Originality/value
Most digital archives serviced in Korea are limited in the proper use of archival metadata standards. The contribution of this study is to propose a practical application of knowledge graph technology for linking and exploring digital records. This study details the process of collecting raw data on archives, data preprocessing and data enrichment, and demonstrates how to build a knowledge graph connected to external data. In particular, the knowledge graph of RiC-O vocabulary, Wikidata and Schema.org vocabulary and the semantic query using it can be applied to supplement keyword search in conventional digital archives.
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Margherita Lisco and Radhlinah Aulin
The reuse of timber building parts, when designing new buildings, has become a topic of increasing discussion as a proposed circular solution in support of sustainable development…
Abstract
Purpose
The reuse of timber building parts, when designing new buildings, has become a topic of increasing discussion as a proposed circular solution in support of sustainable development goals. Designers face the difficulty of identifying and applying different design strategies for reuse due to multiple definitions, which are used interchangeably. The purpose of this study is to propose a taxonomy to define the relationships between various concepts and practices that comprise the relevant strategies for reuse, notably design for disassembly (DfD) and design for adaptability (DfA).
Design/methodology/approach
Literature reviews were conducted based on research publications over the previous 12 years and located through the Web of Science and Scopus.
Findings
A taxonomy for the design process grounded on two strategies for reuse is presented: DfD and DfA. Based on previous work, the taxonomy aims to build a vocabulary of definitions in DfD and DfA to support other researchers and practitioners working in the field.
Research limitations/implications
The research is limited to the design phase of timber-based buildings. It does not take into account the other phases of the construction process, neither other kind of construction methods.
Practical implications
The application of the taxonomy can facilitate communication between different actors and provide a way for building product manufacturers to demonstrate their reuse credentials, enabling them to produce and promote compliant products and thereby support design for reuse strategies.
Social implications
This paper could contribute to a closer collaboration of all stakeholders involved in the building process since the very early phases of the conceptual design.
Originality/value
This paper contributes a comprehensive taxonomy to support the deployment of circular reuse strategies and assist designers and other stakeholders from the earliest of phases in the building’s life cycle. The proposed definition framework provided by the taxonomy resolves the longstanding lack of a supporting vocabulary for reuse and can be used as a reference for researchers and practitioners working with the DfD and DfA.
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Leyla Hamis Liana, Salehe I. Mrutu and Leonard Mselle
Computer-assisted instruction (CAI) has been used to combat reading challenges, namely reading accuracy and rate for learners with intellectual, developmental and learning…
Abstract
Purpose
Computer-assisted instruction (CAI) has been used to combat reading challenges, namely reading accuracy and rate for learners with intellectual, developmental and learning disabilities (IDLD). Whilst most reading CAI effectiveness has been studied in English, other transparent languages have less evidence. This study provides a systematic review and meta-analysis of CAI effectiveness for transparent language reading for K-3 learners with IDLD.
Design/methodology/approach
This study systematically reviews academic peer-reviewed studies from 2010 to 2023 with either randomised controlled treatment (RCT) or single-case treatments. Articles were searched from the ACM Digital Library, Google Scholar, IEEE Xplore, ERIC, PsychINFO and Science Direct databases, references and systematic review articles. Reading component skills effect sizes were computed using the random effect sizes model.
Findings
11 RCT studies of reading CAI for transparent languages with 510 learners with IDLD were found. A random effect sizes (Cohen’s d) of CAI on individual reading component skills were d = 0.24, p-value = 0.063 and confidence interval (CI) 95% (−0.068–0.551) for phonics and phonemic awareness d = 0.41, p-value = 0.000 and CI 95% (0.175–0.644). Given an average intervention dosage of 1.8 h weekly for a maximum of 16 weeks, CAI had better retention with d = 1.13, p-value = 0.066 and CI 95%(−0.339–2.588). However, these results must be interpreted with a concern of only using published studies.
Originality/value
The study contributes to quantitative CAI effectiveness for transparent language reading components for learners with IDLD.
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Morteza Mohammadi Ostani, Jafar Ebadollah Amoughin and Mohadeseh Jalili Manaf
This study aims to adjust Thesis-type properties on Schema.org using metadata models and standards (MS) (Bibframe, electronic thesis and dissertations [ETD]-MS, Common European…
Abstract
Purpose
This study aims to adjust Thesis-type properties on Schema.org using metadata models and standards (MS) (Bibframe, electronic thesis and dissertations [ETD]-MS, Common European Research Information Format [CERIF] and Dublin Core [DC]) to enrich the Thesis-type properties for better description and processing on the Web.
Design/methodology/approach
This study is applied, descriptive analysis in nature and is based on content analysis in terms of method. The research population consisted of elements and attributes of the metadata model and standards (Bibframe, ETD-MS, CERIF and DC) and Thesis-type properties in the Schema.org. The data collection tool was a researcher-made checklist, and the data collection method was structured observation.
Findings
The results show that the 65 Thesis-type properties and the two levels of Thing and CreativeWork as its parents on Schema.org that corresponds to the elements and attributes of related models and standards. In addition, 12 properties are special to the Thesis type for better comprehensive description and processing, and 27 properties are added to the CreativeWork type.
Practical implications
Enrichment and expansion of Thesis-type properties on Schema.org is one of the practical applications of the present study, which have enabled more comprehensive description and processing and increased access points and visibility for ETDs in the environment Web and digital libraries.
Originality/value
This study has offered some new Thesis type properties and CreativeWork levels on Schema.org. To the best of the authors’ knowledge, this is the first time this issue is investigated.
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Muhammad Ijaz Mairaj and Mahsham Mukaram
This study aims to examine the status, explores the hurdles and identifies the prospects for developing a union catalogue of university libraries in Lahore, Pakistan.
Abstract
Purpose
This study aims to examine the status, explores the hurdles and identifies the prospects for developing a union catalogue of university libraries in Lahore, Pakistan.
Design/methodology/approach
Following a quantitative research approach, a questionnaire was developed from literature and authors’ experience. After ensuring its validity and reliability, data were collected from librarians after the census. A total of 105 librarians were approached, of whom 73 (71%) responded to the survey.
Findings
University libraries in Lahore are well organized, have adequate collections and information technology-literate staff, are well automated, have good internet connections, are equipped with integrated software, follow cataloguing rules and MARC standards; however, the absence of standardized software, lack of funds, absence of uniform policy, professional workload and absence of standardized vocabulary are significant challenges. Private-sector librarians reported facing more challenges. Librarians consider all prospects vital for developing a union catalogue. These prospects include the availability of relevant information, incentives to librarians, coordination with librarians, a realization that sharing is caring, the Higher Education Commission of Pakistan taking initiative and librarians’ training.
Research limitations/implications
University librarians in Lahore are ready to cooperate with the development of a union catalogue; however, they seek support from higher authorities, professional library associations and the Higher Education Commission of Pakistan.
Originality/value
To the best of the authors’ knowledge, this research is the first of its kind that examines the status, explores the hurdles and identifies the prospects for developing a union catalogue of university libraries in Lahore. It would lead to the development of a union catalogue of university libraries in Pakistan.
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Chiara Alzetta, Felice Dell'Orletta, Alessio Miaschi, Elena Prat and Giulia Venturi
The authors’ goal is to investigate variations in the writing style of book reviews published on different social reading platforms and referring to books of different genres…
Abstract
Purpose
The authors’ goal is to investigate variations in the writing style of book reviews published on different social reading platforms and referring to books of different genres, which enables acquiring insights into communication strategies adopted by readers to share their reading experiences.
Design/methodology/approach
The authors propose a corpus-based study focused on the analysis of A Good Review, a novel corpus of online book reviews written in Italian, posted on Amazon and Goodreads, and covering six literary fiction genres. The authors rely on stylometric analysis to explore the linguistic properties and lexicon of reviews and the authors conducted automatic classification experiments using multiple approaches and feature configurations to predict either the review's platform or the literary genre.
Findings
The analysis of user-generated reviews demonstrates that language is a quite variable dimension across reading platforms, but not as much across book genres. The classification experiments revealed that features modelling the syntactic structure of the sentence are reliable proxies for discerning Amazon and Goodreads reviews, whereas lexical information showed a higher predictive role for automatically discriminating the genre.
Originality/value
The high availability of cultural products makes information services necessary to help users navigate these resources and acquire information from unstructured data. This study contributes to a better understanding of the linguistic characteristics of user-generated book reviews, which can support the development of linguistically-informed recommendation services. Additionally, the authors release a novel corpus of online book reviews meant to support the reproducibility and advancements of the research.
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Constantin Bratianu, Alexeis Garcia-Perez, Francesca Dal Mas and Denise Bedford