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Aqeel, Syed; Beitzel, Steve; Jensen, Eric C.

doi:10.1002/asi.v57:6

Cited by 55 publications

(2 citation statements)

References 177 publications

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“…This is important as studies continue to show that users still find IR systems difficult to learn, use, and remember (Ahmed et al, 2006). Vaughan and Resnick, 2006 describe a set of best practices developed to assist specifically in the design of search user interfaces. These design principles are organised into five domains: the corpus, search algorithms, user and task context, the search interface and mobility.…”

Section: Recommendations For Designing Gir Interfacesmentioning

confidence: 99%

Geographic Information Retrieval: Progress and Challenges in Spatial Search of Text

Purves

Clough

Jones

et al. 2018

FNT in Information Retrieval

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Significant amounts of information available today contain references to places on earth. Traditionally such information has been held as structured data and was the concern of Geographic Information Systems (GIS). However, increasing amounts of data in the form of unstructured text are available for indexing and retrieval that also contain spatial references. This monograph describes the field of Geographic Information Retrieval (GIR) that seeks to develop spatially-aware search systems and support user's geographical information needs. Important concepts with respect to storing, querying and analysing geographical information in computers are introduced, before user needs and interaction in the context of GIR are explored. The task of associating documents with coordinates, prior to their indexing and ranking forms the core of any GIR system, and different approaches and their implications are discussed. Evaluating the resulting systems and their components, and different paradigms for doing so continue to be an important area of research in GIR and are illustrated through a number of examples. The article concludes by setting out a range of future challenges for research in this field.

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Section: Recommendations For Designing Gir Interfacesmentioning

confidence: 99%

Geographic Information Retrieval: Progress and Challenges in Spatial Search of Text

Purves

Clough

Jones

et al. 2018

FNT in Information Retrieval

View full text Add to dashboard Cite

show abstract

“…In [8], researchers applied Latent Semantic Analysis (LSA) on the Touchstone Applied Science Associates corpus using 37,000 passages of text. Newman and Block [10] have used a probabilistic mixture decomposition method to discover topics on newspapers. Their corpus contained 80,000 articles and advertisements.…”

Section: Related Workmentioning

confidence: 99%

Analysis of Computational Science Papers from ICCS 2001-2016 using Topic Modeling and Graph Theory

Abuhay

Kovalchuk

Bochenina

et al. 2017

Procedia Computer Science

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This paper presents results of topic modeling and network models of topics using the ICCS corpus, which contains domain-specific (computational science) papers over sixteen years (a total of 5695 papers). We discuss topical structures of ICCS, how these topics evolve over time in response to the topicality of various problems, technologies and methods, and how all these topics relate to one another. This analysis illustrates multidisciplinary research and collaborations among scientific communities, by constructing static and dynamic networks from the topic modeling results and the authors' keywords. The results of this study give insights about the past and future trends of core discussion topics in computational science. We used the Non-negative Matrix Factorization(NMF) topic modeling algorithm to discover topics and labeled and grouped results hierarchically. We used Gephi to study static networks of topics, and an R library called DyA to analyze the dynamic networks of topics.

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