|Title||Report for the 1st HSWI Workshop|
|Date||14 June 2013|
- 1 Report for the 1st Human-Semantic Web Interaction Workshop
- 1.1 Attract Me! How Could End-Users Identify Interesting Resources?
- 1.2 Design and Evaluation of Overview Components for Effective Semantic Data Exploration
- 1.3 Towards RVL: a Declarative Language for Visualizing RDFS/OWL Data
- 1.4 Soa2mSituation: An Interaction Situation Model for the Multimodal Web
- 1.5 Tool Support for Semantic Task Modeling
- 1.6 Creation of visualizations based on Linked Data
Report for the 1st Human-Semantic Web Interaction Workshop
This is a short report for the 2013 HSWI Workshop that took place in Madrid (Spain) the past June 16th, 2013. It was collocated with the WIMS (Web Intelligence, Mining and Semantics) conference.
The workshop received 16 submissions from which 6 where accepted (acceptance rate 37.5%). A summary of each accepted submission follows. All them were also presented at the workshop so there are also links to the presentation slides and some pictures.
Attract Me! How Could End-Users Identify Interesting Resources?
M.Voigt, V.Tietz, N.Piccolotto, K.Meißner
This paper states that thought more and more semantic datasets are available, end-users have difficulties to understand the data’s paradigm and need appropriate tool support to slice and dice the data to understandable parts or particular resources. The authors propose a novel approach to enable end-users to browse huge semantic datasets, to detect, and to select interesting resources according to their tasks. The proposal is complemented with two user studies using a web-based prototype that explore which visualisation and interaction techniques in combination with automatic filters are well-suited for novices.
Design and Evaluation of Overview Components for Effective Semantic Data Exploration
This paper proposes the Visual Information-Seeking Mantra “Overview first, zoom and filter, then details-on-demand” proposed by Shneiderman for lay users to interact with semantic data. The focus is on overview, the first user task when dealing with a dataset so the user is capable of getting an idea about the overall structure of the dataset. Current semantic data exploration tools provide little or no support for dataset overview. The proposal is to reuse and adapt existing Information Architecture components, well known to Web users, which are generated automatically from semantic data. Navigation bars, site maps and site indexes are presented, together with treemaps and other visualisation techniques for displaying hierarchical data. The paper includes an evaluation with end-users.
Towards RVL: a Declarative Language for Visualizing RDFS/OWL Data
The aim of this work is to propose a way to model how to visualize RDF data, the RDFS/OWL Visualization Language (RVL). It is a declarative language for sharing visualization settings for RDF, similar to CSS for HTML. The contribution is that unlike styling or presentation languages for RDF or pure visualization languages, RVL combines rich visual mapping capabilities with the direct awareness of RDFS/OWL language constructs. Moreover, the mapping definitions can be shared together with the data to be visualized. They can be also published at a URI, which facilitates their extension and reuse.
Soa2mSituation: An Interaction Situation Model for the Multimodal Web
B.H.Rodriguez, J.C.Moissinac, I.Demeure
The Soa2mSituation is an ontology for specifying multimodal interfaces. The objective is to facilitate the dynamic composition of interactive features in multimodal systems in terms of roles, stereotypical activities and perception. The ontology is based on the upper-level ontology DOLCE+DnS Lite. It is also based on the W3C’s Multimodal Interaction Architecture and Interfaces standard.
Tool Support for Semantic Task Modeling
V.Tietz, A.Rümpel, M.Voigt, P.Siekmann, K.Meißner
Task modeling is a fundamental part of user-centered requirements engineering, something also relevant for semantic application modeling. Unfortunately, current tooling support lacks semantics-based and user-driven modeling facilities so they are not suitable for semantic mashup composition. This paper presents a novel concept for a task modeling tool, supporting ontology-based requirements specification of enterprise mashups. A prototype has been evaluated with users in a small study.
Creation of visualizations based on Linked Data
Visual representations are fundamental tools for data analysis, specially for big amounts of data. However, creating these visualizations is difficult for end-users. The paper presents Visualbox, a web application that makes it easier for non-programmers to create semantic data visualizations. Visualbox has been tested with real users. These studies show that Visualbox makes it easier for users to create Linked Data-based visualizations, though users still find it difficult to create the required SPARQL queries that retrieve the data to be visualized.