|Title||Report for the 2nd HSWI Workshop|
|Date||6 June 2014|
- 1 Report for the 2nd Human-Semantic Web Interaction Workshop
- 1.1 Papers Presented
- 1.1.1 Christian Mader and Christian Wartena - Supporting Web Vocabulary Development by Automated Quality Assessment: Results of a Case Study in a Teaching Context
- 1.1.2 Markel Vigo, Caroline Jay and Robert Stevens - Protégé4US: Harvesting Ontology Authoring Data with Protégé
- 1.1.3 Salli Hukkinen and Tomi Kauppinen - Supporting Visual Exploration of Inter-organization Collaboration
- 1.1.4 Matt Thompson, Steve Battle, Julian Padget and Hideaki Takeda - ArtFinder: A Faceted Browser for Cross-Cultural Art Discovery
- 1.2 Demos Shown
- 1.2.1 Squebi SPARQL Editor, presented by Thomas Kurz (Salzburg Research)
- 1.2.2 RapidMiner LOD Extension, presented by Petar Ristoski (University of Mannheim)
- 1.2.3 Exploratory Linked Data Visualization Workflow, presented by Anastasia Dimou (Ghent University)
- 1.2.4 Visual R2RML Editor, presented by Christoph Pinkel (fluid Operations AG)
- 1.2.5 PoolParty Thesaurus Server, presented by Christan Mader (Semantic Web Company)
- 1.2.6 VOWL tools, presented by Steffen Lohmann (University of Stuttgart)
- 1.2.7 Summarum, presented by Andreas Thalhammer (Karlsruhe Institute of Technology)
- 1.1 Papers Presented
Report for the 2nd Human-Semantic Web Interaction Workshop
The workshop received five submissions, four out of which were accepted for prsesentation. A summary of each accepted submission follows.
Furthermore, a spontaneous demo jam session was organized, allowing participants to show demos of running systems in slots of 5-10 minutes without a formal review process. In total, seven demos were shown.
The workshop drew a lot of attention, with a total of 20 participants. In particular, it was good to see that demos were presented by people both from academia and the industry, showing that the topic has some uptake outside academia.
Christian Mader and Christian Wartena - Supporting Web Vocabulary Development by Automated Quality Assessment: Results of a Case Study in a Teaching Context
Constructing controlled Web vocabularies such as thesauri for search and retrieval tasks is a widely intellectual process that relies on human experts. Thus, errors can occur which decrease the overall quality of the vocabulary. qSKOS is a tool that automatically checks Web vocabularies for potential quality problems and generates quality reports. In this paper we present the results of a case study designed to evaluate the impact of integrating qSKOS in the vocabulary creation process. It was carried out among students skilled in construction of controlled vocabularies. We collected in total 13 vocabularies in two versions and detected 15 different kinds of quality problems. For 11 of these problems we observed reduced occurrences after the vocabularies were revised by the participants based on the results of the generated quality report.
Markel Vigo, Caroline Jay and Robert Stevens - Protégé4US: Harvesting Ontology Authoring Data with Protégé
The inherent complexity of ontologies poses a number of cognitive and perceptual challenges for ontology authors. We investigate how users deal with the complexity of the authoring process by analysing how one of the most widespread ontology development tools (i.e. Protégé) is used. To do so, we build Protégé4US (Protégé for User Studies) by extending Protégé in order to generate log files that contain ontology authoring events. These log files not only contain data about the interaction with the environment, but also about OWL entities and axioms. We illustrate the usefulness of Protégé4US with a case study with 15 participants. The data generated from the study allows us to know more about how Protégé is used (e.g. most frequently used tabs), how well users perform (e.g. task completion times) and identify emergent authoring strategies, including moving down the class hierarchy or saving the current workspace before running the reasoner. We argue that Protégé4US is an valuable instrument to identify ontology authoring patterns.
Salli Hukkinen and Tomi Kauppinen - Supporting Visual Exploration of Inter-organization Collaboration
The increasing amounts of linked data from organizations support studying of underlying phenomena such as collaboration networks. Yet, the size of data, heterogeneous representations, and different granularity levels create challenges for supporting these tasks. In this paper we study whether and how Information Visualization can be used to support making sense of organization data. Our contribution is to study via a case study the visualization of implicit connections. The promise is that these serve as an evidence of collaboration between organizations. The key finding was that two levels of granularity, neither of which was explicitly in the data, supported to make sense of the data.
Matt Thompson, Steve Battle, Julian Padget and Hideaki Takeda - ArtFinder: A Faceted Browser for Cross-Cultural Art Discovery
Exploring art from a different culture without prior knowledge of the domain is difficult. Though traditionally experts are required to guide people through the unknown knowledge base, the use of linked data can help consumers to explore for themselves. In this paper, we use clustering methods to create a faceted hierarchy for the exploration and recommendation of Japanese artists to tourists visiting Japan. This opens up future work in the understanding of the links between artists from different cultures as well as in automatically categorising and browsing linked data.
Squebi SPARQL Editor, presented by Thomas Kurz (Salzburg Research)
Squebi is a SAPRQL Editor for querying and updatig SPARQL endpoints. It includes several result presentation UIs and can be easily extended. Additionally it implements prefix autocompletion.
RapidMiner LOD Extension, presented by Petar Ristoski (University of Mannheim)
The RapidMiner LOD extension allows using data from Linked Open Data both as an input for data mining as well as for enriching existing datasets with background knowledge.
Exploratory Linked Data Visualization Workflow, presented by Anastasia Dimou (Ghent University)
Visual R2RML Editor, presented by Christoph Pinkel (fluid Operations AG)
End-to-End Semantic Data Integration With R2RML in a Visual Editor. Visitors can map relational data (CSV, RDBMS) to RDF, build and change mapping rules manually and/or with the support of automatic suggestions.
PoolParty Thesaurus Server, presented by Christan Mader (Semantic Web Company)
PoolParty Thesaurus Server is an application supporting thesaurus development and publication using SKOS. In the demo we show it's interface to find, present, and help users in resolving potential quality problems that occur in the developed thesauri.
VOWL tools, presented by Steffen Lohmann (University of Stuttgart)
The Visual Notation for OWL Ontologies (VOWL) defines a visual language for the user-oriented representation of ontologies. It provides graphical depictions for elements of the Web Ontology Language (OWL) that are combined to a force-directed graph layout visualizing the ontology.
Summarum, presented by Andreas Thalhammer (Karlsruhe Institute of Technology)
A system that provides summaries of DBpedia Entities.