What Does an Ontology Engineering Community Look Like? A Systematic Analysis of the schema.org Community

  title={What Does an Ontology Engineering Community Look Like? A Systematic Analysis of the schema.org Community},
  author={Samantha Kanza and Alex Stolz and Martin Hepp and Elena Paslaru Bontas Simperl},
We present a systematic analysis of participation and interactions within the community behind schema.org, one of the largest and most relevant ontology engineering projects in recent times. Previous work conducted in this space has focused on ontology collaboration tools, and the roles that different contributors play within these projects. This paper takes a broader view and looks at the entire life cycle of the collaborative process to gain insights into how new functionality is proposed and… 
Ontology engineering methodologies for the evolution of living and reused ontologies: status, trends, findings and recommendations
It is argued that the engineering of ontologies must follow a well-defined methodology, addressing practical aspects that would allow (sometimes wide) communities of experts and ontologists to reach consensus on developments and keep the evolution of ontology ‘in track’.
Learning to Recommend Items to Wikidata Editors
This paper proposes a recommender system for Wikidata items that uses a hybrid of content-based and collaborative filtering techniques to learn to rank items for editors, using item features as well as previous interactions between editors and items.


Collaborative ontology engineering: a survey
The goal of this article is to survey several of the most outstanding methodologies, methods and techniques that have emerged in the last years, and present the most popular development environments, which can be utilized to carry out, or facilitate specific activities within the methodologies.
Peer-production system or collaborative ontology engineering effort: what is Wikidata?
Wikidata rather supports peer-production activities caused by its current focus on data collection, and the alignment of existing algorithmic participation patterns with these human patterns of participation is shown.
Practical Experiences in Concurrent, Collaborative Ontology Building Using Collaborative Protégé
To investigate the distributed, collaborative ontology engineering process and the corresponding capabilities of the Collaborative Protege 3 (CP) tool, members of the OntoGenesis network came together and enriched the Ontology of Biomedical Investigations (OBI) with new content.
An analysis of collaborative patterns in large-scale ontology development projects
A visual and interactive project-management tool is described, which helps ontology developers explore historical ontology change and discussion data and concludes that domain and ontology experts have different patterns of ontology editing behavior, which has important implications for ontology-development tools.
Understanding How Users Edit Ontologies: Comparing Hypotheses About Four Real-World Projects
The hierarchical structure of an ontology exercises the strongest influence on user editing behavior, followed by the entity similarity, and the semantic distance of classes in the ontology.
WebProtégé: A collaborative ontology editor and knowledge acquisition tool for the Web
WebProtégé is a lightweight ontology editor and knowledge acquisition tool for the Web that is accessible from any Web browser, has extensive support for collaboration, and a highly customizable and pluggable user interface that can be adapted to any level of user expertise.
How Users Explore Ontologies on the Web: A Study of NCBO's BioPortal Usage Logs
It is shown that specific characteristics of ontologies influence the way users explore and interact with the website, and may guide the development of more user-oriented systems for ontology exploration on the Web.
TurtleEditor: An Ontology-Aware Web-Editor for Collaborative Ontology Development
TurtleEditor is described, an open-source web editor, which can load files from, and commit changes to a central repository and offers features such as syntax highlighting, syntax checking, auto-completion and a SPARQL endpoint to query the ontology.
Analysis of User Editing Patterns in Ontology Development Projects
This paper uses data mining techniques to investigate whether they are able to predict the next editing operation that a user will make based on the change history of two real-world biomedical ontologies, and uses association rule mining to find editing patterns using different features.