Enhancing learning and exploratory search with concept semantics in online healthcare knowledge management systems: An interactive knowledge visualization approach

Huang, Zhao; Yuan, Liu

doi:10.1016/j.eswa.2023.121558

Cited by 3 publications

(3 citation statements)

References 48 publications

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“…These relations are clearly displayed by standardized relationship indicators which are employed reciprocally [33]. Thesauri are much more functional when it comes to retrieval of information from a system [34]. Relationships are usually indicated by the notation BT (Broader Term), NT (Narrower Term), SY (Synonym), and RT (Associative or Related Term).…”

Section: ) Thesaurusmentioning

confidence: 99%

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Cultural Heritage Information Retrieval: Past, Present, and Future Trends

Ranjgar,

Sadeghi-Niaraki,

Shakeri

et al. 2024

IEEE Access

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Knowledge organization and development of better information retrieval techniques were of great importance from a very early time period in human history. The need has grown high for such systems with the advent of digitization and the web era. Computer systems and web have offered easier retrieval of information in almost no time. However, as the amount of data increased, these systems were not able to work well in terms of accuracy and precision of retrieval. Semantic Web concept was introduced to overcome the issue by converting the web of documents to a web of data. Semantic Web technologies makes data machine-understandable so that information retrieval can be more precise and accurate. The Cultural Heritage (CH) community, with the goal of preserving and dissemination of the historical information to people and society, is one of the first domains to adopt Semantic Web recommendations and technologies, which can provide interoperability between various organizations by creating a shared understanding in the community. The data in the CH domain differs widely with types and formats. Also, a lot of organizations and experts from various fields interact through different processes within this community. Due to the mentioned needs, the CH community employed Semantic Web technologies step by step along its evolution process for better knowledge management and a uniform understanding among the community. In this study, we present a comprehensive conceptual framework that spans cultural heritage, information modeling, and information retrieval. Our model addresses early solutions in knowledge organization systems, highlighting the evolution from classification systems and controlled vocabularies to the significance of metadata schemas. We delve into the limitations of traditional knowledge organization systems and the necessity of formal ontologies, particularly in the cultural heritage domain. The comparative analysis of CRM vs. EDM, ontology-based metadata interoperability, and ontology technologies elucidate our contributions to the field. This paper outlines the process from the initial steps of adopting Semantic Web technologies in the CH domain to the latest developments in CH information retrieval. In this paper, we also reviewed intelligent applications and services developed in the CH domain after establishing semantic data models and Knowledge Organization Systems. Finally, challenges and possible future research directions are discussed. The findings revealed that GLAMs (Galleries, Libraries, Archives, and Museums) are excellent and comprehensive sources of CH information. The CH community has put in a lot of time and effort to develop data models and knowledge organization tools; now it's time to use this valuable resource to construct smart applications that are still in their early phases. This could benefit the CH industry even more.

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Section: ) Thesaurusmentioning

confidence: 99%

“…• , Ontology-browser 34 , and Zitgist 35 , make data on the web browseable based on URI dereferencing. Another way is to provide SPARQL endpoints for querying data in a standard approach to be used in mash-up applications.…”

Section: ) Linked (Open) Datamentioning

confidence: 99%

Cultural Heritage Information Retrieval: Past, Present, and Future Trends

Ranjgar,

Sadeghi-Niaraki,

Shakeri

et al. 2024

IEEE Access

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“…Although it is clear that making money is important, recent changes in society have made it even more important for healthcare institutions to do more than just meet their financial goals. They also need to do things that are good for society and are morally responsible (Huang & Yuan, 2024).…”

Section: Study Problemmentioning

confidence: 99%

The Interplay of Profitability and Social Responsibility in Achieving Institutional Excellence: An Exploratory Study in Government and Private Hospitals in Jeddah, Kingdom of Saudi Arabia

Dirbas,

Al Haddad

2024

GJMBR

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In the Kingdom of Saudi Arabia, the healthcare sector has been evolving rapidly, presenting a dynamic landscape where the pursuit of financial viability intersects with the imperative of social responsibility. This study investigates the intricate relationship between profitability and social responsibility and their collective impact on achieving institutional excellence in government and private hospitals. Employing an exploratory approach, a comprehensive analysis of qualitative and quantitative data was conducted to discern the patterns and trends shaping the healthcare landscape in the context of the Saudi Arabian society. The study reveals that while financial viability remains a crucial aspect for the sustenance and growth of hospitals, social responsibility has emerged as a key determinant in building trust and establishing long-term credibility within the community.

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Human-Machine Interaction for Knowledge Discovery and Management

Mittal,

Parashar,

Thawkar

et al. 2024

Modern Technology in Healthcare and Medical Education

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The ongoing data explosion driven by digital information growth has led to the emergence of human-machine interaction (HMI) as a vital tool in knowledge discovery and management across various disciplines. The exponential growth of knowledge discovery and management due to the influx of digital data and investigates into HMI applications, encompassing data visualization, natural language processing, machine learning, and augmented reality, with real-world examples demonstrating their ability in deciphering complex data and extracting insights. Ethical concerns and future directions, including issues of bias, privacy, security, and research prospects like explainable AI and personalized interfaces, are also discussed. The societal and workforce implications of HMI are explored, highlighting its potential benefits and challenges while advocating for responsible development and policies to ensure a harmonious interaction between humans and machines in the realm of knowledge discovery and management.

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Enhancing learning and exploratory search with concept semantics in online healthcare knowledge management systems: An interactive knowledge visualization approach

Cited by 3 publications

References 48 publications

Cultural Heritage Information Retrieval: Past, Present, and Future Trends

Cultural Heritage Information Retrieval: Past, Present, and Future Trends

The Interplay of Profitability and Social Responsibility in Achieving Institutional Excellence: An Exploratory Study in Government and Private Hospitals in Jeddah, Kingdom of Saudi Arabia

Human-Machine Interaction for Knowledge Discovery and Management

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