A Survey of Multiple Tree Visualisation

Graham, Martin; Kennedy, Jessie

doi:10.1057/ivs.2009.29

Cited by 124 publications

(92 citation statements)

References 86 publications

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“…Pathways to broader implementation should focus on directly integrating the use of taxonomic concept labels, parent/child relationships, RCC-5 articulations, and reasoning and visualization services into prominent biodiversity data platforms [2,34,35,48,57,59]. We envision information environments where identi-fications of organismal occurrence records are augmented to the level of carrying taxonomic concept labels [53].…”

Section: Scalability Of the Rcc-5 Alignment Approachmentioning

confidence: 99%

Names are not good enough: Reasoning over taxonomic change in the Andropogon complex1

Franz

Chen

Kianmajd

et al. 2016

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Abstract. We present a novel, logic-based solution to the challenge of reconciling the meanings of taxonomic names across multiple biological taxonomies. The challenge arises due to limitations inherent in using type-anchored taxonomic names as identifiers of granular semantic similarities and differences being expressed in original and revised taxonomic classifications. We address this challenge through: (1) the use of taxonomic concept labels -thereby individuating name usages according to particular sources and allowing each taxonomy to be recognized separately; (2) sets of user-provided Region Connection Calculus articulations among concepts (RCC-5: congruence, proper inclusion, inverse proper inclusion, overlap, exclusion); and (3) the use of an Answer Set Programming-based reasoning toolkit that ingests these constraints to infer and visualize consistent multi-taxonomy alignments. The feasibility of this approach is demonstrated with a use case involving pairwise alignments of 11 non-congruent classifications of Eastern United States grass entities variously assigned to the Andropogon glomeratusvirginicus 'complex' over an interval of 126 years. Analyses of name:meaning identity reveal that, on average, taxonomic names are reliable identifiers of taxonomic non-/congruence for approximately 60% of the 127 merge regions obtained in 12 pairwise alignments. The name:meaning cardinality over the entire time interval ranges from 1:6 to 4:1, with only 1:36 names attaining the semantically ideal 1:1 ratio. We discuss the applicability of the RCC-5 alignment approach in the context of achieving logic-based integration of non-/congruent taxonomic concept hierarchies in dynamic biodiversity data environments.

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Section: Scalability Of the Rcc-5 Alignment Approachmentioning

confidence: 99%

Names are not good enough: Reasoning over taxonomic change in the Andropogon complex1

Franz

Chen

Kianmajd

et al. 2016

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“…Our system for automatic formatting of query results thus falls in the research area known as tree visualization. This area has been surveyed by Shneiderman [93] and, more recently, Graham and Kennedy [45].…”

Section: Tree Visualizationmentioning

confidence: 99%

Expressive Query Construction through Direct Manipulation of Nested Relational Results

Bakke

Karger

2016

Proceedings of the 2016 International Conference on Management of Data

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Despite extensive research on visual query systems, the standard way to interact with relational databases remains to be through SQL queries and tailored form interfaces. This makes the power of relational databases largely inaccessible to non-programmers. This thesis proposes a solution, in two parts.The first contribution of this thesis is a solution to the visual query language problem, that is, the problem of letting end users construct arbitrary database queries through a graphical user interface. We propose the first visual query language to simultaneously satisfy three requirements: (1) query specification through direct manipulation of results, (2) the ability to view and modify any part of the current query without departing from the direct manipulation interface, and (3) SQL-like expressiveness. By directly manipulating nested relational results, and using spreadsheet idioms such as formulas and filters, the user can express arbitrary SQL-92 queries while always remaining able to track and modify the state of the complete query.The second contribution of this thesis is an algorithm for automatically formatting nested relational data using the traditional visual idioms of hand-designed database UIs: tables, multi-column forms, and outline-style indented lists. The algorithm plugs directly into the output stage of our visual query language, and produces the concrete graphics that the user sees and manipulates on the screen during query construction. The algorithm eliminates the need for an application developer to specify low-level presentation details such as label placements, text field dimensions, table column widths, and list styles.Our prototype visual query system gives the user an experience of responsive, incremental query building while pushing all actual query processing to the database layer. We evaluate the query building aspects of our system with formative and controlled user studies on a total of 28 spreadsheet users. The controlled study shows our system outperforming Microsoft Access by 18 points on the System Usability Scale [17]; this corresponds to a 46 percentage point difference on a percentile scale of other studies in the Business Software category. We also evaluate the different layouts that can be produced by our automatic layout algorithm, including via an online user study on 27 subjects.

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“…Tree layout, especially in the case of multiple trees spanning the same set of basic elements (usually the leaves of a tree) has been the object of several approaches of information visualization (see the survey in [28] on single and multiple trees). Node-link, nested squares or circles, horizontal and vertical adjacency, indented-list, and matrix representations are well known in the literature, each with specific advantages and disadvantages, depending on the task at hand.…”

Section: Related Workmentioning

confidence: 99%

Multimedia tool suite for the visualization of drama heritage metadata

Lombardo

Pizzo

2014

Multimed Tools Appl

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This paper presents a multimedia tool suite for, on the one hand, the annotation of metadata that encode the dramatic qualities of cultural heritage items, and, on the other, the visualization of such metadata for drama analysis and didactics. The tool suite relies upon an ontology of drama to devise an annotation schema for the metadata concerning the dramatic qualities. The two major modules of the tool suite are a web-based platform, that allows for the insertion of the annotation metadata, and a visualization program for the interactive exploration of such metadata, respectively. The tool suite was tested on the cross-media studies of drama analysis and teaching of drama structure through the application to classical examples.

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A Survey of Multiple Tree Visualisation

Cited by 124 publications

References 86 publications

Names are not good enough: Reasoning over taxonomic change in the Andropogon complex1

Names are not good enough: Reasoning over taxonomic change in the Andropogon complex1

Expressive Query Construction through Direct Manipulation of Nested Relational Results

Multimedia tool suite for the visualization of drama heritage metadata

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