Topic-Relevance Map

Peltonen, Jaakko; Belorustceva, Kseniia; Ruotsalo, Tuukka

doi:10.1145/3025171.3025223

Cited by 31 publications

(4 citation statements)

References 42 publications

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“…Some works propose interactive graphical presentations of keywords to support sensemaking in the exploration of document sets. For instance, Peltonen et al (2017) propose the Topic-Relevance Map to summarize on a radial basis the keywords (filters) characterizing the result set, using distance from the center to represent relevance to the search query and angle between keywords to denote their topical similarity. Moreover, FacetAtlas (Cao et al, 2010) relates topics in a 3D diagram supporting the representation of multi-dimensional relations among them, and SolarMap (Cao et al, 2011) combines topic-based document clustering with a radial representation of facets to support a twolevel, topic-based document filtering.…”

Section: Background and Related Workmentioning

confidence: 99%

Faceted search of heterogeneous geographic information for dynamic map projection

Mauro

Ardissono

Lucenteforte

2020

Information Processing & Management

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This paper proposes a faceted information exploration model that supports coarse-grained and fine-grained focusing of geographic maps by offering a graphical representation of data attributes within interactive widgets. The proposed approach enables (i) a multi-category projection of long-lasting geographic maps, based on the proposal of efficient facets for data exploration in sparse and noisy datasets, and (ii) an interactive representation of the search context based on widgets that support data visualization, faceted exploration, category-based information hiding and transparency of results at the same time. The integration of our model with a semantic representation of geographical knowledge supports the exploration of information retrieved from heterogeneous data sources, such as Public Open Data and OpenStreetMap. We evaluated our model with users in the OnToMap collaborative Web GIS.The experimental results show that, when working on geographic maps populated with multiple data categories, it outperforms simple category-based map projection and traditional faceted search tools, such as checkboxes, in both user performance and experience.

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Section: Background and Related Workmentioning

confidence: 99%

Faceted search of heterogeneous geographic information for dynamic map projection

Mauro

Ardissono

Lucenteforte

2020

Information Processing & Management

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“…StarGate [11] is a novel system for visualizing software projects for the purpose of studying the development process. Peltonen et al [16] presents rapid information comprehension of search result data by embedding high-dimensional keyword representations into angles on a radial layout.…”

Section: Radial Data Visualizationmentioning

confidence: 99%

StoryPrint

Watson

Sohn

Schriber

et al. 2019

Proceedings of the 24th International Conference on Intelligent User Interfaces

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“…We introduce interactive intent modeling to support exploratory search [as discussed earlier in preliminary conference papers and an overview paper: 43,82,[96][97][98]. It is based on three principles:…”

Section: Introductionmentioning

confidence: 99%

Interactive Intent Modeling for Exploratory Search

Ruotsalo

Peltonen

Eugster

et al. 2018

ACM Trans. Inf. Syst.

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Exploratory search requires the system to assist the user in comprehending the information space and expressing evolving search intents for iterative exploration and retrieval of information. We introduce interactive intent modeling, a technique that models a user's evolving search intents and visualizes them as keywords for interaction. The user can provide feedback on the keywords, from which the system learns and visualizes an improved intent estimate and retrieves information. We report experiments comparing variants of a system implementing interactive intent modeling to a control system. Data comprising search logs, interaction logs, essay answers, and questionnaires indicate significant improvements in task performance, information retrieval performance over the session, information comprehension performance, and user experience. The improvements in retrieval effectiveness can be attributed to the intent modeling and the effect on users' task performance, breadth of information comprehension, and user experience are shown to be dependent on a richer visualization. Our results demonstrate the utility of combining interactive modeling of search intentions with interactive visualization of the models that can benefit both directing the exploratory search process and making sense of the information space. Our findings can help design personalized systems that support exploratory information seeking and discovery of novel information.

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Topic-Relevance Map

Cited by 31 publications

References 42 publications

Faceted search of heterogeneous geographic information for dynamic map projection

Faceted search of heterogeneous geographic information for dynamic map projection

StoryPrint

Interactive Intent Modeling for Exploratory Search

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