The use of a graph‐based system to improve bibliographic information retrieval: System design, implementation, and evaluation

Zhu, Yongjun; Yan, Erjia; Song, Il‐Yeol

doi:10.1002/asi.23677

Cited by 17 publications

(17 citation statements)

References 32 publications

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“…Another comparative methodology dependent on ontological diagram design questions [44] is introduced in GRQL and KnowledgeSifter. GRQL depends on the full intensity of the RDF/S information model and gives a GUI to building inquiries dependent on the ontological route.…”

Section: Ontology-based Query Formulation Approachesmentioning

confidence: 99%

“…This methodology fills in as an intelligent data recovery framework where clients are guided through an OWL-based driven graphical interface to characterize the pursuit standards. This work addresses the issue of "where to begin in the use of an ontology-based IR interface"; that is, which components of the ontology ought to be given to the client to start the searching detail [44]. Suitably, a client initially chooses significant domain knowledge to begin fabricating an existing query.…”

Section: Ontology-based Information Linking Approachesmentioning

confidence: 99%

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A Contemporary Review on Utilizing Semantic Web Technologies in Healthcare, Virtual Communities, and Ontology-Based Information Processing Systems

Narayanasamy

Srinivasan

et al. 2022

Electronics

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The semantic web is an emerging technology that helps to connect different users to create their content and also facilitates the way of representing information in a manner that can be made understandable for computers. As the world is heading towards the fourth industrial revolution, the implicit utilization of artificial-intelligence-enabled semantic web technologies paves the way for many real-time application developments. The fundamental building blocks for the overwhelming utilization of semantic web technologies are ontologies, and it allows sharing as well as reusing the concepts in a standardized way so that the data gathered from heterogeneous sources receive a common nomenclature, and it paves the way for disambiguating the duplicates very easily. In this context, the right utilization of ontology capabilities would further strengthen its presence in many web-based applications such as e-learning, virtual communities, social media sites, healthcare, agriculture, etc. In this paper, we have given the comprehensive review of using the semantic web in the domain of healthcare, some virtual communities, and other information retrieval projects. As the role of semantic web is becoming pervasive in many domains, the demand for the semantic web in healthcare, virtual communities, and information retrieval has been gaining huge momentum in recent years. To obtain the correct sense of the meaning of the words or terms given in the textual content, it is deemed necessary to apply the right ontology to fix the ambiguity and shun any deviations that persist on the concepts. In this review paper, we have highlighted all the necessary information for a good understanding of the semantic web and its ontological frameworks.

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Section: Ontology-based Query Formulation Approachesmentioning

confidence: 99%

Section: Ontology-based Information Linking Approachesmentioning

confidence: 99%

A Contemporary Review on Utilizing Semantic Web Technologies in Healthcare, Virtual Communities, and Ontology-Based Information Processing Systems

Narayanasamy

Srinivasan

et al. 2022

Electronics

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“…Users can modify form queries interactively before sending them to the database. For more detailed description, please refer to our prior work (Zhu, Yan, & Song, ).…”

Section: Experimental Systemsmentioning

confidence: 99%

Evaluating interactive bibliographic information retrieval systems: A user‐centered approach

Zhu

Kim

Yan

2018

Proc. Assoc. Info. Sci. Tech.

Self Cite

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As an integral part of research activities, scholars frequently interact with bibliographic information retrieval systems to acquire scholarly information. With the dramatic increase of scientific literature, there is the pressing need of building effective and efficient bibliographic information retrieval systems that support more granular and complex bibliographic information needs. Investigating users' interaction with these systems plays an important role in understanding the systems' features and usability issues, which contributes to better system design and implementation. In this paper, we evaluate three interactive bibliographic information retrieval systems proposed in our previous studies using a user‐centered approach, including form‐, natural language‐, and visual graph‐based systems. This study recruits 20 participants to evaluate the three systems from the aspects of success rate, search time, query size, usefulness, ease of use, ease of learning, and satisfaction. Results showed that: the form‐based system needed the least time to formulate simple bibliographic queries and allowed the participants to make the least mistakes; the natural language‐based system needed the least time to formulate high‐complexity bibliographic queries and was rated as the most useful, easy‐to‐use, and easy‐to‐learn system; and the visual graph‐based system's strengths lie in the support of complex queries as shown that it got better ratings of usefulness and satisfaction by the high‐complexity task group.

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“…To best of our knowledge, this work is the first empirical study of the usability and usefulness (by humans) of instance-based data representations in comparison to relational or class-based representations. Prior research has focused on issues related to storage of non-classified data (e.g., Vicknair et al, 2010;Zhu et al, 2017), but not on representation and usability by content consumers.…”

Section: Introductionmentioning

confidence: 99%

Skipping class: improving human-driven data exploration and querying through instances

Saghafi

Wand

Parsons

2021

European Journal of Information Systems

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With the growing focus on business analytics and data-driven decision-making, there is a greater need for humans to interact effectively with data. We propose that presenting data to human users in terms of instances and attributes provides a more flexible and usable structure for querying, exploring, and analysing data. Compared to a traditional representation, an instance-based representation does not impose any predefined classification schema over the data when it is presented to users. This paper examines the potential utility of instancebased data through two laboratory experiments -the first focusing on exploration of data for pattern discovery (open-ended tasks) and the second on retrieval of information (closed-ended tasks). In both cases, participants were able to achieve better results in tasks using instancebased data than using class-based representations. Given the growing need for self-service analytics, as well as using information for purposes not anticipated when it was collected, we show that instance-based representations can be an effective way to satisfy the emerging needs of information users.

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The use of a graph‐based system to improve bibliographic information retrieval: System design, implementation, and evaluation

Cited by 17 publications

References 32 publications

A Contemporary Review on Utilizing Semantic Web Technologies in Healthcare, Virtual Communities, and Ontology-Based Information Processing Systems

A Contemporary Review on Utilizing Semantic Web Technologies in Healthcare, Virtual Communities, and Ontology-Based Information Processing Systems

Evaluating interactive bibliographic information retrieval systems: A user‐centered approach

Skipping class: improving human-driven data exploration and querying through instances

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