Exploratory search for scientific articles

Недумов, Я. Р.; Кузнецов, С. Д.

doi:10.15514/ispras-2018-30(6)-10

Cited by 7 publications

(6 citation statements)

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“…Many techniques for information organization and information re‐finding have been proposed in the context of performing exploratory web search (Capra et al, 2010). Recently, workspaces have been used to organize important information separate from the SERP, storing relevant keywords (Peltonen, Belorustceva, et al, 2017) and annotations (Nedumov et al, 2019), tracking previous interactions such as queries and relations between the browsed pages (Park et al, 2008), and enabling cross‐session search (Jhaveri & Räihä, 2005; Li et al, 2020).…”

Section: Related Workmentioning

confidence: 99%

“…While they are becoming increasingly common within academic digital library search interfaces (Furnas & Rauch, 1998; Shah & González‐Ibáñez, 2010). While they are becoming increasingly common within academic digital library search interfaces (Jhaveri & Räihä, 2005; Li et al, 2020; Nedumov et al, 2019; Park et al, 2008; Peltonen, Belorustceva, et al, 2017; Peltonen, Strahl, et al, 2017), they generally operate as a container for saved search results or snippets, providing limited interactivity beyond adding and deleting items from the workspace, and in some cases supporting the sharing of work with others (Yue et al, 2014). While we could have done the same, we hypothesized that the visually linked keywords could also help searchers when they are re‐evaluating the search results saved in the workspace.…”

Section: Klink Searchmentioning

confidence: 99%

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A study of visually linked keywords to support exploratory browsing in academic search

Hoeber

Shukla

2022

Asso for Info Science & Tech

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While the search interfaces used by common academic digital libraries provide easy access to a wealth of peer-reviewed literature, their interfaces provide little support for exploratory browsing. When faced with a complex search task (such as one that requires knowledge discovery), exploratory browsing is an important first step in an exploratory search process. To more effectively support exploratory browsing, we have designed and implemented a novel academic digital library search interface (KLink Search) with two new features: visually linked keywords and an interactive workspace. To study the potential value of these features, we have conducted a controlled laboratory study with 32 participants, comparing KLink Search to a baseline digital library search interface modelled after that used by IEEE Xplore. Based on subjective opinions, objective performance, and behavioural data, we show the value of adding lightweight visual and interactive features to academic digital library search interfaces to support exploratory browsing.

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Section: Related Workmentioning

confidence: 99%

Section: Klink Searchmentioning

confidence: 99%

A study of visually linked keywords to support exploratory browsing in academic search

Hoeber

Shukla

2022

Asso for Info Science & Tech

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“…Many academic search interfaces are designed around the lookup model as the main search paradigm, with the addition of advanced features such as search history, citation chaining, and recommendations. While recent research has investigated the value of adding new interface features to support academic search [7,8,10,16,20,22] there is room for further study on methods to enable multistage and exploratory search strategies, as well as methods to detect the type of query used [15] so that the interface can intelligently guide the user to choose search strategies that are appropriate for their needs.…”

Section: Discussionmentioning

confidence: 99%

Information seeking within academic digital libraries

Hoeber

Storie

2022

Proceedings of the 22nd ACM/IEEE Joint Conference on Digital Libraries

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When searching within an academic digital library, a variety of information seeking strategies may be employed. The purpose of this study is to determine whether graduate students choose appropriate information seeking strategies for the complexity of a given search scenario, and to explore among other factors that could influence their decisions. We used a survey method in which participants (n=33) were asked to recall their most recent instance of an academic digital library search session that matched two given scenarios (randomly chosen from four alternatives), and for each scenario identify whether they employed search strategies associated with four different information seeking models. Although we expected that the information seeking strategies used would be influenced by the search scenario, this was not the case. The factors that affected whether a participant would use an advanced information seeking strategy were based on their graduate-level academic search training and their primary research methodology. These findings highlight that while it is important to train graduate students on how to conduct academic digital library searches, more work is needed to train them on matching the information seeking strategies to the complexity of their search tasks and developing interfaces that guide their search process. CCS CONCEPTS• Information systems → Task models; Digital libraries and archives.

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“…Considering the wide realm of this application area, a majority of the research studies reviewed belonged to this category. Applications include smart education [236,222,229,154,158,170,184,278], intelligent waste management [255], smart agriculture [191], smart governance [282,150], intelligent natural resources management [226,70] and intelligent traffic control systems [257,220,148], in addition to many others.…”

Section: Applicationsmentioning

confidence: 99%