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This paper provides a design of fuzzy logic based adaptive information retrieval system for Knowledge Management (KM). Typically, the traditional Boolean-based retrieval models are too restrictive because they use binary logic that make them unable to take into account even partial relevance between items we have and user queries. In order to overcome these drawbacks, the proposed model integrates fuzzy sets, fuzzy inference systems and rule-based aggregation techniques capable of dealing with uncertainties for a more personalized retrieval experience. It models user queries as fuzzy sets of relevance, evaluates rules using max-min aggregation, and obtains crisp relevance scores via centroid-based defuzzification. The research examines mathematical proofs, examples of practical applications and how fuzzy logic is implemented in an extensive case study such as a digital library. Experiments using evaluation metrics for performance like F-measure, precision and recall confirm our system can outperform baseline algorithms reusable by interacting with partial information matches allowing a more adaptive access to information's. The study also addresses computational complexity issues and provides some guidelines toward optimizing for large scale deployment of the system. Era of future research calls for the blending of fuzzy logic and machine learning techniques such as hybrid models, real-time adaptive systems etc. to best functionality KM applications are concerned. [ABSTRACT FROM AUTHOR]

Open source has been widely adopted across the entire solution set in the library world, including software for traditional library services, digital libraries, discovery systems, identity management and persistent identifier solutions. Open source is also foundational in the development of artificial intelligence (AI) solutions. Open source AI toolkits have driven the adoption of AI in machine learning, image recognition, video analysis and many other areas relevant to library systems. The communities supporting open source library software are among the largest and most dynamic in the library world. The Koha library management system is supported by a community of developers, librarians, service providers and participating libraries around the world, and is probably the most widely adopted library management system in the world. This article explores the evolution of open source in libraries and the ways in which the open source solutions can facilitate the introduction of AI in libraries in a way that gives libraries agency on the AI model development and implementation. Examples are provided on the use of AI toolkits in the library context. [ABSTRACT FROM AUTHOR]

Knowledge network construction (KNC) is the essence of dynamic knowledge architecture, and is helpful to illustrate ubiquitous knowledge service in digital libraries (DLs). The authors explore its theoretical foundations and basic rules to elucidate the basic principles of KNC in DLs. The results indicate that world general connection, small-world phenomenon, relevance theory, unity and continuity of science development have been the production tool, architecture aim and scientific foundation of KNC in DLs. By analyzing both the characteristics of KNC based on different types of knowledge linking and the relationships between different forms of knowledge and the appropriate ways of knowledge linking, the basic principle of KNC is summarized as follows: let each kind of knowledge linking form each shows its ability, each kind of knowledge manifestation each answer the purpose intended in practice, and then subjective knowledge network and objective knowledge network are organically combined. This will lay a solid theoretical foundation and provide an action guide for DLs to construct knowledge networks. [ABSTRACT FROM AUTHOR]

The article is devoted to the analysis of foreign experience in determining the criteria for assessing the effectiveness of scientific and pedagogical research. Thus, the problems of qualified analysis of the source base and reproducibility of research, the use of formal scientometric indicators, altmetric approaches, and digital libraries are considered. Another conclusion of authors is to ensure the reliability of the results, and, accordingly, for higher evaluation indicators of research performance, peer-reviewed publications indexed in scientometric databases should be used as primary sources. At the same time, the implementation of a digital identifier (first of all DOI), the provision of open data of research results, and the availability of copies in digital institutional repositories also contribute to higher performance indicators of scientific and pedagogical research. Despite the implementation of various new scientometric indicators, still the most used is the citation (H-index). Altmetric indicators receive data from social networks. Articles are published in them have a faster release of the results. But many scientists still doubt whether there is a direct relationship between the publication impact according to the classical and altmetric approaches. The main reason for this is the authors’ ability to artificially influence some impact indicators.

This research investigated the strategic development of a large-scale transdisciplinary area, named intelligent infrastructure for human-centred communities, at Virginia Tech. Within such development, this study explored the future vision and anticipated scenarios of data infrastructure and digital libraries for smart community development. It draws upon the mixed-methods approach combining ethnographic participant observation, document analysis and semi-structured interviews. Grounded in socio-technical framework and rooted in empirical methods, this research produces results that augment design thinking and visioning practice for digital data libraries beyond traditional boundaries. The findings reveal the emerging scenarios around complex adaptive systems, intelligent data infrastructure and future digital libraries all in the context of building infrastructure for human-centred communities. Situated in this advancing reality, the results further discuss the next-generation data and information user experience, smart infrastructure data environment and future library capabilities. The article concludes that a smart library system, whether in its conceptual form of a 'digital octopus' or a 'smart village data hub' or an 'intelligent virtual assistant', will provide intelligence in data gathering, processing, summarising, communication and recommendations. By delivering unified and personalised data solutions, it will offer an end-to-end seamless experience for users throughout their journey of knowledge pursuit. [ABSTRACT FROM AUTHOR]

This paper discusses the pedagogical practice of developing reading for pleasure in pre- schools and primary phase settings through the lens of one key dimension of twenty-first-century reading: personalisation. It draws on a series of studies and examples to identify, address and problematise human- and digitally mediated personalised reading for pleasure. Through a content analysis of the key features of current digital library systems, it shows how these increasingly popular systems position teachers as librarians, curators and monitors, and undermine their potential roles as listeners, mentors and co-readers in order to foster children’s personal response to texts. Through a theory-driven approach it identifies ways in which current design limitations of library management systems can be addressed and from which their effective application and use can develop. This conceptual elaboration, which combines contemporary reading theories with the affordances of digital personalisation, provides new insights concerning personalisation in digital library systems. [ABSTRACT FROM AUTHOR]

The “Advances in Library Data and Access” column examines technological advances internal and external to libraries. The focus is on how library data is created and used. The strength of the column is its broad, international focus and contributors are encouraged to explore issues and recent advances in information technology relevant to their geographical region, as well as the larger, global audience. Interested authors are invited to submit proposals and articles to the column editor atmoulaisonhe@missouri.edu. Please include “IILR Submission” in the subject line of the e-mail. Libraries are managing, preserving, and providing access to an ever-increasing volume of digital objects. Most of these objects are either accompanied by metadata or contain embedded metadata. Embedded metadata supplied by creators and/or added by librarians places valuable descriptive and rights information within the object itself. While few would argue against creators embedding metadata into their digital works, the practice can become contentious when information professionals enhance or alter metadata contained within objects acquired from external sources. This article both weighs the current pros and cons of creating and using embedded metadata, and explores its potential. [ABSTRACT FROM AUTHOR]

Interoperability is a property referring to the ability of systems and organizations to work together. Today interoperability is recognized as a key step in the shift from isolated digital libraries toward a common information space that will allow users to browse through different digital libraries within a single integrated environment. In this paper, we discuss the premises underlying a novel Policy and Quality Interoperability Framework, taking into account the preliminary outcomes and the recommendations of the Policy and Quality Working Groups that are currently being run by the EU co-funded project Digital Library Interoperability, Best Practices, and Modeling Foundations (DL.org). [ABSTRACT FROM AUTHOR]