While research on semantic wikis is declining, Semantic MediaWiki (SMW) can still play an important role in the emerging field of knowledge graph curation.
The Vienna History Wiki, a large knowledge ...base curated by the city government in collaboration with other institutions and the general public, provides an ideal use case for demonstrating strengths and weaknesses of SMW as well as discussing the challenges of co-curation in a cultural heritage setting. This paper describes processes like collaborative editing, interlinking unique identifiers on the web, sharing data with Wikidata, making use of Schema.org, and other ontologies. It presents insights from a user survey, access statistics, and a knowledge graph analysis.
This work contributes to the scarce research in wiki usage outside of the Wikipedia ecosystem as well as to the field of community-based knowledge graph curation. The availability of a now significantly improved RDF representation indicates future directions for research and practice.
•Semantic MediaWiki (SMW) is a tool for setting up and maintaining knowledge bases.•The Vienna History Wiki is a large publicly available knowledge base.•It is operated by a government institution in collaboration with citizens.•Unique identifiers have been established and exchanged with Wikidata.•Schema.org vocabulary was used to improve the RDF representation.•A user survey, access statistics and a knowledge graph analysis are provided.
Metabolomics - technology for comprehensive detection of small molecules in an organism - lags behind the other "omics" in terms of publication and dissemination of experimental data. Among the ...reasons for this are difficulty precisely recording information about complicated analytical experiments (metadata), existence of various databases with their own metadata descriptions, and low reusability of the published data, resulting in submitters (the researchers who generate the data) being insufficiently motivated. To tackle these issues, we developed Metabolonote, a Semantic MediaWiki-based database designed specifically for managing metabolomic metadata. We also defined a metadata and data description format, called "Togo Metabolome Data" (TogoMD), with an ID system that is required for unique access to each level of the tree-structured metadata such as study purpose, sample, analytical method, and data analysis. Separation of the management of metadata from that of data and permission to attach related information to the metadata provide advantages for submitters, readers, and database developers. The metadata are enriched with information such as links to comparable data, thereby functioning as a hub of related data resources. They also enhance not only readers' understanding and use of data but also submitters' motivation to publish the data. The metadata are computationally shared among other systems via APIs, which facilitate the construction of novel databases by database developers. A permission system that allows publication of immature metadata and feedback from readers also helps submitters to improve their metadata. Hence, this aspect of Metabolonote, as a metadata preparation tool, is complementary to high-quality and persistent data repositories such as MetaboLights. A total of 808 metadata for analyzed data obtained from 35 biological species are published currently. Metabolonote and related tools are available free of cost at http://metabolonote.kazusa.or.jp/.
One goal of open science is making research processes like analysis more open and traceable. To contribute to this aim, we designed an open digital research environment based on Semantic MediaWiki ...technology to be used for the qualitative collaborative analysis method of objective hermeneutics. The environment was used in university seminars in which students learned the analysis method in a research based learning setting. This article examines added values of open analysis in learning and teaching of qualitative research methods. It outlines the potentials of the environment like guiding students through digital structures, and retracing the collaborative interpretation processes, but as well discusses the pedagogical boundaries of open online collaborative work. (DIPF/Orig.)
Semantic wikis support collaboratively editing, categorising, interlinking and retrieving web pages for a group of experts working in a certain domain. The use of semantic technologies allows the ...expression of wiki content in a more structured way, which increases its potential use. This contribution presents an overview of the development process towards a semantic wiki related to a repository of forest decision support systems, including models, methods and data used, as well as case studies and lessons learned. An international group of experts took part in the conceptualisation of the semantic wiki (i.e. identification of wiki properties and forms), provided content and developed queries to analyse the information gathered. The resulting ForestDSS wiki gives an overview of the current use, development and application of forest decision support systems worldwide. Based on the experiences gathered during the process, some challenges are reported and conclusions on further developments are made.
Biological 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.
To 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 .
Through 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.
Practical knowledge describes the knowledge resulted from experience of a person. Capturing and processing practical knowledge is usually difficult, because it is only available in a persons head. ...However, this knowledge would help inexperienced persons to obtain practical knowledge in a fast way. Approaches so far have only considered how already formalized knowledge can be shared and integrated across different systems. However, capturing and formalizing practical knowledge and working around with incomplete data have not yet been considered. To address this problem we 1.) developed an open-source extension for Semantic MediaWiki that supports the graphical modeling of practical knowledge; 2.) enable to enrich the formalized practical knowledge with semantics from ontologies and knowledge graphs with references to external data sources and rules and 3.) present a technical infrastructure to automatically execute the created decision trees and thus to retrieve recommendations of the practical knowledge in real-time.
Since 2010, the state of Rhineland-Palatinate in Germany has developed a cultural landscape information system as a process to secure and further enrich aggregate data about its cultural assets. In ...an open dialogue between governing authorities and citizens, the intention of the project is an active cooperation of public and private actors. A cultural landscape information system called KuLIS was designed as a web platform, combining semantic wiki software with a geographic information system. Based on data sets from public administrations, the information about cultural assets can be extended and enhanced by interested participants. The developed infrastructure facilitates local information accumulation through a crowdsourcing approach. This capability offers new possibilities for e-governance and open data developments. The collaborative approach allows governing authorities to manage and supervise official data, while public participation enables affordable information acquisition. Gathered cultural heritage information can provide incentives for touristic valorisation of communities or concepts for strengthening regional identification. It can also influence political decisions in defining significant cultural regions worth of protecting from industrial influences. The presented cultural landscape information allows citizens to influence the statewide development of cultural landscapes in a democratic way.
In this paper, we describe a real-time knowledge acquisition and anomaly handling architecture in a maintenance scenario of an industrial cyber-physical production environment. We use the Business ...Process Model and Notation (BPMN) for modeling and controlling of the maintenance procedure. Automatic handwriting and pen gesture recognition is combined with a networked smart pen that is used on semantically structured paper forms. Here, we discuss our architecture with BPMN-modeled workflows for real-time data processing. All detected anomalies are automatically associated to the corresponding knowledge sources such as the process model, structure model, business process model and user models; linked Semantic Media-Wiki (SMW) pages are built up accordingly. Our architecture provides for a seamless integration of real-time knowledge sources by smart pen technology and real-time CPS processing by a BPMN engine handling the execution and coordination of the modeled interactions.
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