Handbook of Information Science

Stock, Wolfgang G.; Stock, Mechtild

doi:10.1515/9783110235005

Cited by 90 publications

(47 citation statements)

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“…Author Keywords provide the "author aboutness, " that is, contents expressed through terms in natural language, while Indexed Keywords give the interpretation of contents (Stock and Stock, 2013). The usefulness of this approach was confirmed by Zhang et al (2016), who hold that Author Keywords are highly effective in terms of bibliometric analysis when investigating the knowledge structure of scientific fields, and Indexed Keywords are very comprehensive for representing an article's content.…”

Section: Methodsmentioning

confidence: 97%

Identification and Visualization of the Intellectual Structure in Graphene Research

Vargas-Quesada

Chinchilla‐Rodríguez

Rodríguez

2017

Front. Res. Metr. Anal.

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Since the discovery of the promising properties of graphene, research in the field has attracted numerous grants and sponsors, leading to an exponential rise in the number of papers and applications. This article presents a global map of graphene research and its intellectual structure, drawn using the terms of more than 50,000 documents extracted from Scopus database, years 1998-2015. The unit of analysis consisted of descriptors (including Author Keywords and Indexed Keywords), with the co-occurrence of descriptor as the unit of measure, using fractional counting. The main research lines identified are: Fundamental Research, Functionalization and Biomedical Applications, Technology and Devices, Materials Science, Energy Storage, Optics and Chemical Properties and Sensors. Using overlay maps, we depict the graphene research efforts of the United States, the European Union (Europe-28), and China, and project their evolution through longitudinal maps to facilitate comparison. The United States was initially at the head of world output in graphene research, but was surpassed by China in 2011 and by Europe in 2014, as a result of their respective scientific policies and financial support. The output of China has since been so intense that it can be said to mark graphene research trends. We believe this information may be valuable for the core community involved in this scientific field, as it offers a large-scale analysis showing how research has changed over time. It is therefore also helpful for policy makers and research planners. The resulting maps are a useful and attractive tool for the graphene research community, as they reveal the main lines of exploration at a glance. The methodology described here could be re-created in any other field of science to uncover and display its intellectual structure and evolution over time.

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Section: Methodsmentioning

confidence: 97%

Identification and Visualization of the Intellectual Structure in Graphene Research

Vargas-Quesada

Chinchilla‐Rodríguez

Rodríguez

2017

Front. Res. Metr. Anal.

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“…Information literacy includes the abilities of creation and representation as well as of searching and finding information [81]. Many public as well as academic libraries in well-developed ICs offer courses in information literacy [36].…”

Section: Location Factorsmentioning

confidence: 99%

“…Albeit ICT is the heart of a smart city, we may not forget knowledge both in the form of tacit knowledge (bound to persons) as well as in the form of explicit knowledge (bound to documents [81]) [64]. Following Castells [7], we call such prototypical urban regions of the knowledge society "informational cities" [79] or "smart cities" (in the broader sense of the concept; see below!).…”

Section: Introductionmentioning

confidence: 99%

Informational Urbanism. A Conceptual Framework of Smart Cities

Barth¹,

Fietkiewicz²,

Gremm³

et al. 2017

Proceedings of the 50th Hawaii International Conference on System Sciences (2017)

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“…This attention to the context of IR tasks and the zoomed-out view on information seeking tasks touches on the field of information science [101,205]. This field is closely related to IR, and it is broad and interdisciplinary, primarily concerned with the analysis, collection, classification, manipulation, storage, retrieval, movement, dissemination, and protection of information [205]. Both fields emerged around the same time, inspired by the post-war vision of Bush [39] …”

Section: Information Seeking and Interactive Information Retrievalmentioning

confidence: 99%

Context & Semantics in News & Web Search

Odijk

2016

SIGIR Forum

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This thesis presents research towards a core aim of information retrieval (IR): providing users with easy access to information. Three research themes guide the research presented in this thesis, contributing to three aspects of IR research: the domain in which an IR system is used, the users interacting with the system, and the different access scenarios in which these users engage with an IR system. Central to these research themes is the aim to gain insights into the behavior of searchers and develop algorithms to support them in their quest, whether it is a researcher exploring or studying a large collection, a web searcher struggling to find something, or a television viewer searching for related content. The first research theme is motivated by the information seeking tasks of researchers exploring and studying large collections. To enable their search on a larger scale, we propose computational methods to connect collections and to infer the perspective offered in a news story. Motivated by how historians select documents for close reading, we propose novel methods for connecting collections using automatically extracted temporal references. To illustrate how these algorithms can be used to automatically create connections between collections, we introduce a novel search interface to explore and analyze the connected collections. The interface highlights different perspectives and requires little domain knowledge. Based on how communication scientists study framing in news, we propose an automatic thematic content analysis approach. The second research theme is addressed in a mixed-methods study on how web searchers behave when they cannot find what they are looking for. Based on large-scale log analysis, crowd-sourced labeling, and predictive modeling we show behavioral differences given task success and failure. Based on these findings we propose ways in which systems can reduce struggling in search. To support searchers, we propose and evaluate algorithms that accurately predict the nature of future actions and their anticipated impact on search outcomes. Our findings have implications for the design of search systems that help searchers struggle less and succeed more. In the third and final research theme, we consider a pro-active search scenario, specifically in a live television setting. We propose algorithms that leverage contextual information to retrieve diverse related content for a leaned-back TV viewer. While watching television, people increasingly consume additional content related to what they are watching. Two methods to automatically retrieve content based on subtitles are introduced, one using entity linking, and one that uses reinforcement learning to generate effective queries for finding related content. Both methods are highly efficient and are currently used in a live television setting in near real time. Each research chapter in this thesis provides insights and algorithms that help searchers when using IR applications. For varying domains, users, and access scenarios, the research presented in this thesis improves the ease of access to information.

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Handbook of Information Science

Cited by 90 publications

References 0 publications

Identification and Visualization of the Intellectual Structure in Graphene Research

Identification and Visualization of the Intellectual Structure in Graphene Research

Informational Urbanism. A Conceptual Framework of Smart Cities

Context & Semantics in News & Web Search

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