OntoWiki – An authoring, publication and visualization interface for the Data Web

Frischmuth, Philipp; Martin, Michael; Tramp, Sebastian; Riechert, Thomas; Auer, Sören

doi:10.3233/sw-140145

Cited by 21 publications

(10 citation statements)

References 23 publications

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“…Graube et al [24] propose the R43ples approach that uses named graphs to store revisions as deltas. To express the provenance information it uses the RMO vocabulary 19 , which is an extended and more domain-specific version of the PROV ontology. To query and update the triple store an extended SPARQL protocol language is introduced.…”

Section: Practical Knowledge Base Versioning Systemsmentioning

confidence: 99%

Decentralized Collaborative Knowledge Management Using Git

Arndt

Naumann

Radtke

et al. 2019

Journal of Web Semantics

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The World Wide Web and the Semantic Web are designed as a network of distributed services and datasets. The distributed character of the Web brings manifold collaborative possibilities to interchange data. The commonly adopted collaborative solutions for RDF data are centralized (e. g. SPARQL endpoints and wiki systems). But to support distributed collaboration, a system is needed, that supports divergence of datasets, brings the possibility to conflate diverged states, and allows distributed datasets to be synchronized. In this paper, we present Quit Store, it was inspired by and it builds upon the successful Git system. The approach is based on a formal expression of evolution and consolidation of distributed datasets. During the collaborative curation process, the system automatically versions the RDF dataset and tracks provenance information. It also provides support to branch, merge, and synchronize distributed RDF datasets. The merging process is guarded by specific merge strategies for RDF data. Finally, we use our reference implementation to show overall good performance and demonstrate the practical usability of the system. (Edgard Marx) URL: http://aksw.org/NatanaelArndt (Natanael Arndt), http://aksw.org/NormanRadtke (Norman Radtke), http://aksw.org/MichaelMartin (Michael Martin), http://aksw.org/EdgardMarx (Edgard Marx) 1 http://lod-cloud.net/ 2

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Section: Practical Knowledge Base Versioning Systemsmentioning

confidence: 99%

Decentralized Collaborative Knowledge Management Using Git

Arndt

Naumann

Radtke

et al. 2019

Journal of Web Semantics

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“…It is shipped with the commercial version of the TopBraid Composer. A similar approach is followed by LESS [5] which later was integrated with the OntoWiki [10]. The OntoWiki Site Extension 18 [9] allows to render RDF resources in HTML views using a PHP base templating language.…”

Section: State Of the Artmentioning

confidence: 99%

Jekyll RDF: Template-Based Linked Data Publication with Minimized Effort and Maximum Scalability

Arndt

Zänker

Sejdiu

et al. 2019

Lecture Notes in Computer Science

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Over the last decades the Web has evolved from a humanhuman communication network to a network of complex human-machine interactions. An increasing amount of data is available as Linked Data which allows machines to "understand" the data, but RDF is not meant to be understood by humans. With Jekyll RDF we present a method to close the gap between structured data and human accessible exploration interfaces by publishing RDF datasets as customizable static HTML sites. It consists of an RDF resource mapping system to serve the resources under their respective IRI, a template mapping based on schema classes, and a markup language to define templates to render customized resource pages. Using the template system, it is possible to create domain specific browsing interfaces for RDF data next to the Linked Data resources. This enables content management and knowledge management systems to serve datasets in a highly customizable, low effort, and scalable way to be consumed by machines as well as humans.

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“…Semantic Wikis are most useful when the main data is textual, and when the RDF data is used as metadata. OntoWiki [9] takes the opposite approach to Semantic Wikis by using wiki pages to browse and create RDF instead of extract RDF data from them. OntoWiki aims at easing RDF data authoring by providing the accessibility of wiki pages.…”

Section: Related Workmentioning

confidence: 99%

Nested Forms with Dynamic Suggestions for Quality RDF Authoring

Maillot

Ferré

Cellier

et al. 2017

Lecture Notes in Computer Science

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Knowledge acquisition is a central issue of the Semantic Web. Knowledge cannot always be automatically extracted from existing data, thus domain experts are required to manually produce it. On the one hand, learning formal languages such as RDF represents an important obstacle to non-IT experts. On the other hand, well-known data input interfaces, such as forms, do not address well the relational nature and flexibility of RDF. Furthermore, it is difficult to maintain data quality through time, and across contributors. We propose FORMULIS, a formbased interface for guided RDF authoring. It completely hides RDF notations, addresses the relational aspects with nested forms, and guides users by computing intelligent filling suggestions. Two user experiments show that FORMULIS helps users maintain good data quality, and can be used by users without Semantic Web knowledge.

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OntoWiki – An authoring, publication and visualization interface for the Data Web

Cited by 21 publications

References 23 publications

Decentralized Collaborative Knowledge Management Using Git

Decentralized Collaborative Knowledge Management Using Git

Jekyll RDF: Template-Based Linked Data Publication with Minimized Effort and Maximum Scalability

Nested Forms with Dynamic Suggestions for Quality RDF Authoring

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