Semantic Wikis: Approaches, Applications, and Perspectives

Bry, François; Schaffert, Sebastian; Vrandečić, Denny; Weiand, Klara

doi:10.1007/978-3-642-33158-9_9

Cited by 14 publications

(5 citation statements)

References 47 publications

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“…Other research focuses on Semantic Wikis, such as the Semantic MediaWiki [16]. Although this software is open to everybody and has a "human-readable interface[...] to ontologies" [4], the knowledge base is often limited to one specific topic domain. Gil et al [12] analysed editing actions in various Semantic MediaWiki communities and differentiated roles depending on whether they contributed to the ontology (e.g.…”

Section: Collaborative Ontology Engineeringmentioning

confidence: 99%

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Peer-production system or collaborative ontology engineering effort

Müller-Birn

Karran

Lehmann

et al. 2015

Proceedings of the 11th International Symposium on Open Collaboration

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Wikidata promises to reduce factual inconsistencies across all Wikipedia language versions. It will enable dynamic data reuse and complex fact queries within the world's largest knowledge database. Studies of the existing participation patterns that emerge in Wikidata are only just beginning. What delineates most of the contributions in the system has not yet been investigated. Is it an inheritance from the Wikipedia peer-production system or the proximity of tasks in Wikidata that have been studied in collaborative ontology engineering? As a first step to answering this question, we performed a cluster analysis of participants' content editing activities. This allowed us to blend our results with typical roles found in peer-production and collaborative ontology engineering projects. Our results suggest very specialised contributions from a majority of users. Only a minority, which is the most active group, participate all over the project. These users are particularly responsible for developing the conceptual knowledge of Wikidata. We show the alignment of existing algorithmic participation patterns with these human patterns of participation. In summary, our results suggest that Wikidata rather supports peer-production activities caused by its current focus on data collection. We hope that our study informs future analyses and developments and, as a result, allows us to build better tools to support contributors in peer-production-based ontology engineering.

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Section: Collaborative Ontology Engineeringmentioning

confidence: 99%

“…Freebase 4 is probably the most prominent example of an open system in which contributors can build a structured dataset to describe topics of interest and create collections of interlinked topics [3]. However, existing patterns of participation and how people dealt with ontological primitives will remain unknown.…”

Section: Collaborative Ontology Engineeringmentioning

confidence: 99%

Peer-production system or collaborative ontology engineering effort

Müller-Birn

Karran

Lehmann

et al. 2015

Proceedings of the 11th International Symposium on Open Collaboration

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“…We call a wiki which satisfies these requirements a Multilingual Seman¹In fact, previous research has stressed how SMW is suitable for inexperienced users as well [4], so that the usability of web 2.0 and richness of the semantic web are not in opposition [5].…”

Section: Multilingual Semantic Mediawikimentioning

confidence: 99%

Multilingual Semantic MediaWiki for Finno-Ugric dictionaries

Laxström

Kanner²

2015

SCS

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This paper introduces the concept of Multilingual Semantic MediaWiki, which can be used to build collaborative on-line projects for certain types of multilingual content. Namely, dictionaries whose users are multilingual or have different native languages. We describe two multilingual on-line dictionary projects built using the Multilingual Semantic MediaWiki framework. These projects cover Finnish, Swedish, the Sámi languages, Estonian and Ludic among others. We describe the benefits of using semi-structured data and the limitations of this particular semantic software based on the case study offered by the aforementioned projects. We evaluate these projects in terms of development and maintenance effort, number of visitors and contributors. We conclude that this is a low cost approach to increase openness and collaboration and to create more value for this kind of data.

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“…To solve this problem a solution proposed by a number of groups is to combine a wiki system with support for storing structured data in the form of semantic “facts”, consisting of a property–value pair, closely mapping to the predicate and object in RDF triples, and resulting in a combination of the ease-of-use, and flexibility of wikis, with the ability to create structured, machine-readable data. A review of numerous Semantic Wiki implementations is available in [ 20 ]. A recent wiki approach for databases was introduced with the Wikibase software used by the Wikidata project [ 21 ] and is already used in the life sciences [ 22 , 23 ]…”

Section: Introductionmentioning

confidence: 99%

RDFIO: extending Semantic MediaWiki for interoperable biomedical data management

et al. 2017

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BackgroundBiological sciences are characterised not only by an increasing amount but also the extreme complexity of its data. This stresses the need for efficient ways of integrating these data in a coherent description of biological systems. In many cases, biological data needs organization before integration. This is not seldom a collaborative effort, and it is thus important that tools for data integration support a collaborative way of working. Wiki systems with support for structured semantic data authoring, such as Semantic MediaWiki, provide a powerful solution for collaborative editing of data combined with machine-readability, so that data can be handled in an automated fashion in any downstream analyses. Semantic MediaWiki lacks a built-in data import function though, which hinders efficient round-tripping of data between interoperable Semantic Web formats such as RDF and the internal wiki format.ResultsTo solve this deficiency, the RDFIO suite of tools is presented, which supports importing of RDF data into Semantic MediaWiki, with metadata needed to export it again in the same RDF format, or ontology. Additionally, the new functionality enables mash-ups of automated data imports combined with manually created data presentations. The application of the suite of tools is demonstrated by importing drug discovery related data about rare diseases from Orphanet and acid dissociation constants from Wikidata. The RDFIO suite of tools is freely available for download via pharmb.io/project/rdfio.ConclusionsThrough a set of biomedical demonstrators, it is demonstrated how the new functionality enables a number of usage scenarios where the interoperability of SMW and the wider Semantic Web is leveraged for biomedical data sets, to create an easy to use and flexible platform for exploring and working with biomedical data.

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Semantic Wikis: Approaches, Applications, and Perspectives

Cited by 14 publications

References 47 publications

Peer-production system or collaborative ontology engineering effort

Peer-production system or collaborative ontology engineering effort

Multilingual Semantic MediaWiki for Finno-Ugric dictionaries

RDFIO: extending Semantic MediaWiki for interoperable biomedical data management

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