/facet: A Browser for Heterogeneous Semantic Web Repositories

Hildebrand, Michiel; Ossenbruggen, Jacco van; Hardman, Lynda

doi:10.1007/11926078_20

Cited by 142 publications

(134 citation statements)

References 10 publications

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“…A popular paradigm is faceted browsing [8], in which a set of objects can be filtered progressively along several dimensions in different orders. The \facet tool [9] exploits this idea to allow for an easier exploration of heterogeneous Semantic Web repositories by using the different resources found in RDF repositories as alternative facets. mSpace [10] tackles the problem of dealing with high-dimensional spaces, by showing a subset of the data at the time, called "a slice", and arranging them in a hierarchy of columns in accordance with user-defined priorities.…”

Section: State Of the Artmentioning

confidence: 99%

Exploring Scholarly Data with Rexplore

Osborne

Motta

Mulholland

2013

Lecture Notes in Computer Science

106

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Abstract. Despite the large number and variety of tools and services available today for exploring scholarly data, current support is still very limited in the context of sensemaking tasks, which go beyond standard search and ranking of authors and publications, and focus instead on i) understanding the dynamics of research areas, ii) relating authors 'semantically' (e.g., in terms of common interests or shared academic trajectories), or iii) performing fine-grained academic expert search along multiple dimensions. To address this gap we have developed a novel tool, Rexplore, which integrates statistical analysis, semantic technologies, and visual analytics to provide effective support for exploring and making sense of scholarly data. Here, we describe the main innovative elements of the tool and we present the results from a task-centric empirical evaluation, which shows that Rexplore is highly effective at providing support for the aforementioned sensemaking tasks. In addition, these results are robust both with respect to the background of the users (i.e., expert analysts vs. 'ordinary' users) and also with respect to whether the tasks are selected by the evaluators or proposed by the users themselves.

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Section: State Of the Artmentioning

confidence: 99%

Exploring Scholarly Data with Rexplore

Osborne

Motta

Mulholland

2013

Lecture Notes in Computer Science

106

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“…Therefore, their contributions are somewhat orthogonal to ours, and could certainly complement ours. Other approaches, such as SlashFacet [HvOH06], BrowseRDF [ODD06], and SOR [LMZ + 07], extend faceted search towards a more expressive navigation.…”

Section: Related Workmentioning

confidence: 99%

“…This is far from the expressiveness of query languages for the semantic web, such as SPARQL 1 . SlashFacet [HvOH06] and BrowseRDF [ODD06] are faceted search systems for RDF data that extend the expressiveness of reachable queries, but still to a small fragment of SPARQL. For instance, both of them allow for neither cycles in graph patterns, nor unions of graph patterns (disjunction).…”

Section: Introductionmentioning

confidence: 99%

Combining Faceted Search and Query Languages for the Semantic Web

Ferré

Astleitner

Ducassé

2011

Lecture Notes in Business Information Processing

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Faceted search and querying are the two main paradigms to search the Semantic Web. Querying languages, such as SPARQL, offer expressive means for searching knowledge bases, but they are difficult to use. Query assistants help users to write well-formed queries, but they do not prevent empty results. Faceted search supports exploratory search, i.e., guided navigation that returns rich feedbacks to users, and prevents them to fall in dead-ends (empty results). However, faceted search systems do not offer the same expressiveness as query languages. We introduce semantic faceted search, the combination of an expressive query language and faceted search to reconcile the two paradigms. The query language is basically SPARQL, but with a syntax that better fits in a faceted search interface. A prototype, Camelis 2, has been implemented, and a usability evaluation demonstrated that semantic faceted search retains the ease-of-use of faceted search, and enables users to build complex queries with little training.

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“…al. [19] and recently adopted by the Semantic Web research community [4,15,17]. We extended faceted browsing to allow selection of records that are missing data.…”

Section: Related Workmentioning

confidence: 99%

Potluck: Data mash-up tool for casual users

Huynh

Miller

Karger

2008

Journal of Web Semantics

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Abstract. As more and more reusable structured data appears on the Web, casual users will want to take into their own hands the task of mashing up data rather than wait for mash-up sites to be built that address exactly their individually unique needs. In this paper, we present Potluck, a Web user interface that lets casual users -those without programming skills and data modeling expertise-mash up data themselves.Potluck is novel in its use of drag and drop for merging fields, its integration and extension of the faceted browsing paradigm for focusing on subsets of data to align, and its application of simultaneous editing for cleaning up data syntactically. Potluck also lets the user construct rich visualizations of data in-place as the user aligns and cleans up the data. This iterative process of integrating the data while constructing useful visualizations is desirable when the user is unfamiliar with the data at the beginning-a common case-and wishes to get immediate value out of the data without having to spend the overhead of completely and perfectly integrating the data first.A user study on Potluck indicated that it was usable and learnable, and elicited excitement from programmers who, even with their programming skills, previously had great difficulties performing data integration.

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/facet: A Browser for Heterogeneous Semantic Web Repositories

Cited by 142 publications

References 10 publications

Exploring Scholarly Data with Rexplore

Exploring Scholarly Data with Rexplore

Combining Faceted Search and Query Languages for the Semantic Web

Potluck: Data mash-up tool for casual users

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