Exploratory Search: A Critical Analysis of the Theoretical Foundations, System Features, and Research Trends

Jiang, Tingting

doi:10.1007/978-3-642-54812-3_7

Cited by 19 publications

(32 citation statements)

References 56 publications

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“…Exploratory search tasks have numerous characteristics: general, open‐ended, target multiple items, uncertain outcome, multifaceted, involve query reformulation, other information behaviors, and are “not easy” (Kules & Capra, ; Wildemuth & Freund, ). Jiang () proposes that exploratory search tasks exist in a continuum involving all these dimensions. When exploratory search tasks are investigated in the literature, there is a tendency to focus on tasks at the more complex end of the continuum (Wildemuth & Freund, ).…”

Section: Literature Reviewmentioning

confidence: 99%

Exploratory information searching in the enterprise: A study of user satisfaction and task performance

Cleverley

Burnett

Muir

2015

Asso for Info Science & Tech

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No prior research has been identified that investigates the causal factors for workplace exploratory search task performance. The impact of user, task, and environmental factors on user satisfaction and task performance was investigated through a mixed methods study with 26 experienced information professionals using enterprise search in an oil and gas enterprise. Some participants found 75% of high-value items, others found none, with an average of 27%. No association was found between self-reported search expertise and task performance, with a tendency for many participants to overestimate their search expertise. Successful searchers may have more accurate mental models of both search systems and the information space. Organizations may not have effective exploratory search task performance feedback loops, a lack of learning. This may be caused by management bias towards technology, not capability, a lack of systems thinking. Furthermore, organizations may not "know" they "don't know" their true level of search expertise, a lack of knowing. A metamodel is presented identifying the causal factors for workplace exploratory search task performance. Semistructured qualitative interviews with search staff from the defense, pharmaceutical, and aerospace sectors indicates the potential transferability of the finding that organizations may not know their search expertise levels.

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Section: Literature Reviewmentioning

confidence: 99%

Exploratory information searching in the enterprise: A study of user satisfaction and task performance

Cleverley

Burnett

Muir

2015

Asso for Info Science & Tech

View full text Add to dashboard Cite

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“…Exploratory search is a special information seeking method, where the goal of users is not essentially identified through the search process [4]. In this approach, learning and investigation are more important for a user than retrievals of facts and replies to queries.…”

Section: Introductionmentioning

confidence: 99%

“…The data of the Semantic Web has well-defined meanings, can be understood and processed by machines, and allows machines and people to work in collaboration [8]. The Semantic Web combines the technologies of RDF 2 , OWL 3 , and XML 4 to enable the replacement of the Syntactic Web so as to provide search engines capability to understand the meaning of data [7].…”

Section: Introductionmentioning

confidence: 99%

LOD Explorer: Presenting the Web of Data

Jacksi¹,

Zeebaree²,

Dimililer³

2018

ijacsa

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Abstract-The quantity of data published on the Web according to principles of Linked Data is increasing intensely. However, this data is still largely limited to be used up by domain professionals and users who understand Linked Data technologies. Therefore, it is essential to develop tools to enhance intuitive perceptions of Linked Data for lay users. The features of Linked Data point to various challenges for an easy-to-use data presentation. In this paper, Semantic Web and Linked Data technologies are overviewed, challenges to the presentation of Linked Data is stated, and LOD Explorer is presented with the aim of delivering a simple application to discover triplestore resources. Furthermore, to hide the technical challenges behind Linked Data and provide both specialist and non-specialist users, an interactive and effective way to explore RDF resources.

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“…The stages have been identified by Lee in his notes about design issues on Web architecture and shortly became the principles of LD [9]. These stages are 1) things should be identified with URIs; 2) HTTP URIs should be used for these URIs so that people can reuse them; 3) use standards such as RDF and SPARQL 4 when providing information for users looking up URIs; 4) link to other URIs so that further things are discoverable [10].…”

Section: Introductionmentioning

confidence: 99%

“…The users of this category concentrate on learning and investigation rather than fact retrievals and query answering. They compare, analyze and discover new concepts for the retrieved information [4].…”

Section: Introductionmentioning

confidence: 99%

State of the Art Exploration Systems for Linked Data: A Review

Jacksi¹,

Dimililer²,

Zeebaree³

2016

ijacsa

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Abstract-The ever-increasing amount of data available on the web is the result of the simplicity of sharing data over the current Web. To retrieve relevant information efficiently from this huge dataspace, a sophisticated search technology, which is further complicated due to the various data formats used, is crucial. Semantic Web (SW) technology has a prominent role in search engines to alleviate this issue by providing a way to understand the contextual meaning of data so as to retrieve relevant, high-quality results. An Exploratory Search System (ESS), is a featured data looking and search approach which helps searchers learn and explore their unclear topics and seeking goals through a set of actions. To retrieve high-quality retrievals for ESSs, Linked Open Data (LOD) is the optimal choice. In this paper, SW technology is reviewed, an overview of the search strategies is provided, and followed by a survey of the state of the art Linked Data Browsers (LDBs) and ESSs based on LOD. Finally, each of the LDBs and ESSs is compared with respect to several features such as algorithms, data presentations, and explanations.

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Exploratory Search: A Critical Analysis of the Theoretical Foundations, System Features, and Research Trends

Cited by 19 publications

References 56 publications

Exploratory information searching in the enterprise: A study of user satisfaction and task performance

Exploratory information searching in the enterprise: A study of user satisfaction and task performance

LOD Explorer: Presenting the Web of Data

State of the Art Exploration Systems for Linked Data: A Review

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