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Documents authored by Simperl, Elena

Document
DOI: 10.4230/TGDK.3.1.2
Talking Wikidata: Communication Patterns and Their Impact on Community Engagement in Collaborative Knowledge Graphs

Authors: Elisavet Koutsiana, Ioannis Reklos, Kholoud Saad Alghamdi, Nitisha Jain, Albert Meroño-Peñuela, and Elena Simperl

Published in: TGDK, Volume 3, Issue 1 (2025). Transactions on Graph Data and Knowledge, Volume 3, Issue 1

Abstract
We study collaboration patterns of Wikidata, one of the world's largest open source collaborative knowledge graph (KG) communities. Collaborative KG communities, play a key role in structuring machine-readable knowledge to support AI systems like conversational agents. However, these communities face challenges related to long-term member engagement, as a small subset of contributors often is responsible for the majority of contributions and decision-making. While prior research has explored contributors' roles and lifespans, discussions within collaborative KG communities remain understudied. To fill this gap, we investigated the behavioural patterns of contributors and factors affecting their communication and participation. We analysed all the discussions on Wikidata using a mixed methods approach, including statistical tests, network analysis, and text and graph embedding representations. Our findings reveal that the interactions between Wikidata editors form a small world network, resilient to dropouts and inclusive, where both the network topology and discussion content influence the continuity of conversations. Furthermore, the account age of Wikidata members and their conversations are significant factors in their long-term engagement with the project. Our observations and recommendations can benefit the Wikidata and semantic web communities, providing guidance on how to improve collaborative environments for sustainability, growth, and quality.
Cite as

Elisavet Koutsiana, Ioannis Reklos, Kholoud Saad Alghamdi, Nitisha Jain, Albert Meroño-Peñuela, and Elena Simperl. Talking Wikidata: Communication Patterns and Their Impact on Community Engagement in Collaborative Knowledge Graphs. In Transactions on Graph Data and Knowledge (TGDK), Volume 3, Issue 1, pp. 2:1-2:27, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2025)

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@Article{koutsiana_et_al:TGDK.3.1.2,
  author =	{Koutsiana, Elisavet and Reklos, Ioannis and Alghamdi, Kholoud Saad and Jain, Nitisha and Mero\~{n}o-Pe\~{n}uela, Albert and Simperl, Elena},
  title =	{{Talking Wikidata: Communication Patterns and Their Impact on Community Engagement in Collaborative Knowledge Graphs}},
  journal =	{Transactions on Graph Data and Knowledge},
  pages =	{2:1--2:27},
  ISSN =	{2942-7517},
  year =	{2025},
  volume =	{3},
  number =	{1},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/TGDK.3.1.2},
  URN =		{urn:nbn:de:0030-drops-230114},
  doi =		{10.4230/TGDK.3.1.2},
  annote =	{Keywords: collaborative knowledge graph, network analysis, graph embeddings, text embeddings}
}
Document
DOI: 10.4230/DagRep.12.9.60
Knowledge Graphs and their Role in the Knowledge Engineering of the 21st Century (Dagstuhl Seminar 22372)

Authors: Paul Groth, Elena Simperl, Marieke van Erp, and Denny Vrandečić

Published in: Dagstuhl Reports, Volume 12, Issue 9 (2023)

Abstract
This report documents the programme and outcomes of Dagstuhl Seminar 22372 "Knowledge Graphs and their Role in the Knowledge Engineering of the 21st Century" held in September 2022. The seminar aimed to gain a better understanding of the way knowledge graphs are created, maintained, and used today, and identify research challenges throughout the knowledge engineering life cycle, including tasks such as modelling, representation, reasoning, and evolution. The participants identified directions of research to answer these challenges, which will form the basis for new methodologies, methods, and tools, applicable to varied AI systems in which knowledge graphs are used, for instance, in natural language processing, or in information retrieval. The seminar brought together a snapshot of the knowledge engineering and adjacent communities, including leading experts, academics, practitioners, and rising stars in those fields. It fulfilled its aims - the participants took inventory of existing and emerging solutions, discussed open problems and practical challenges, and identified ample opportunities for novel research, technology transfer, and inter-disciplinary collaborations. Among the topics of discussion were: designing engineering methodologies for knowledge graphs, integrating large language models and structured data into knowledge engineering pipelines, neural methods for knowledge engineering, responsible use of AI in knowledge graph construction, other forms of knowledge representations, and generating user and developer buy-in. Besides a range of joint publications, hackathons, and project proposals, the participants suggested joint activities with other scientific communities, in particular those working on large language models, generative AI, FAccT (fairness, accountability, transparency), and human-AI interaction. The discussions were captured in visual summaries thanks to Catherine Allan - you can find more about her work at https://www.catherineallan.co.uk/. The summaries are arrayed throughout this report. Lastly, knowledge about the seminar is captured in Wikidata at https://www.wikidata.org/wiki/Q113961931
Cite as

Paul Groth, Elena Simperl, Marieke van Erp, and Denny Vrandečić. Knowledge Graphs and their Role in the Knowledge Engineering of the 21st Century (Dagstuhl Seminar 22372). In Dagstuhl Reports, Volume 12, Issue 9, pp. 60-120, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2023)

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@Article{groth_et_al:DagRep.12.9.60,
  author =	{Groth, Paul and Simperl, Elena and van Erp, Marieke and Vrande\v{c}i\'{c}, Denny},
  title =	{{Knowledge Graphs and their Role in the Knowledge Engineering of the 21st Century (Dagstuhl Seminar 22372)}},
  pages =	{60--120},
  journal =	{Dagstuhl Reports},
  ISSN =	{2192-5283},
  year =	{2023},
  volume =	{12},
  number =	{9},
  editor =	{Groth, Paul and Simperl, Elena and van Erp, Marieke and Vrande\v{c}i\'{c}, Denny},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/DagRep.12.9.60},
  URN =		{urn:nbn:de:0030-drops-178105},
  doi =		{10.4230/DagRep.12.9.60},
  annote =	{Keywords: Dagstuhl Seminar}
}
Document
DOI: 10.4230/DagRep.7.7.22
Citizen Science: Design and Engagement (Dagstuhl Seminar 17272)

Authors: Irene Celino, Oscar Corcho, Franz Hölker, and Elena Simperl

Published in: Dagstuhl Reports, Volume 7, Issue 7 (2018)

Abstract
This report documents the program and the outcomes of Dagstuhl Seminar 17272 "Citizen Science: Design and Engagement". In this report, we detail the briefly summarise the content of three invited keynote talks and two invited tutorials. We further outline the findings of five parallel working groups, which met on the first and third day of the workshop, in the areas of: sustainability, measuring success, community engagement, linking and quality.
Cite as

Irene Celino, Oscar Corcho, Franz Hölker, and Elena Simperl. Citizen Science: Design and Engagement (Dagstuhl Seminar 17272). In Dagstuhl Reports, Volume 7, Issue 7, pp. 22-43, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2018)

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@Article{celino_et_al:DagRep.7.7.22,
  author =	{Celino, Irene and Corcho, Oscar and H\"{o}lker, Franz and Simperl, Elena},
  title =	{{Citizen Science: Design and Engagement (Dagstuhl Seminar 17272)}},
  pages =	{22--43},
  journal =	{Dagstuhl Reports},
  ISSN =	{2192-5283},
  year =	{2018},
  volume =	{7},
  number =	{7},
  editor =	{Celino, Irene and Corcho, Oscar and H\"{o}lker, Franz and Simperl, Elena},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/DagRep.7.7.22},
  URN =		{urn:nbn:de:0030-drops-84216},
  doi =		{10.4230/DagRep.7.7.22},
  annote =	{Keywords: Citizen science, Crowdsourcing, Data Analytics, Gamification, Human Computation, Incentives Engineering, Online Community, Open Science}
}
Document
DOI: 10.4230/DagRep.4.7.25
Crowdsourcing and the Semantic Web (Dagstuhl Seminar 14282)

Authors: Abraham Bernstein, Jan Marco Leimeister, Natasha Noy, Cristina Sarasua, and Elena Simperl

Published in: Dagstuhl Reports, Volume 4, Issue 7 (2014)

Abstract
Semantic technologies provide flexible and scalable solutions to master and make sense of an increasingly vast and complex data landscape. However, while this potential has been acknowledged for various application scenarios and domains, and a number of success stories exist, it is equally clear that the development and deployment of semantic technologies will always remain reliant of human input and intervention. This is due to the very nature of some of the tasks associated with the semantic data management life cycle, which are famous for their knowledge-intensive and/or context-specific character; examples range from conceptual modeling in almost any flavor, to labeling resources (in different languages), describing their content in terms of ontological terms, or recognizing similar concepts and entities. For this reason, the Semantic Web community has always looked into applying the latest theories, methods and tools from CSCW (Computer Supported Cooperative Work), participatory design, Web 2.0, social computing, and, more recently crowdsourcing to find ways to engage with users and encourage their involvement in the execution of technical tasks. Existing approaches include the usage of wikis as semantic content authoring environments, leveraging folksonomies to create formal ontologies, but also human computation approaches such as games with a purpose or micro-tasks. This document provides a summary of the Dagstuhl Seminar 14282: Crowdsourcing and the Semantic Web, which in July 2014 brought together researchers of the emerging scientific community at the intersection of crowdsourcing and Semantic Web technologies. We collect the position statements written by the participants of seminar, which played a central role in the discussions about the evolution of our research field.
Cite as

Abraham Bernstein, Jan Marco Leimeister, Natasha Noy, Cristina Sarasua, and Elena Simperl. Crowdsourcing and the Semantic Web (Dagstuhl Seminar 14282). In Dagstuhl Reports, Volume 4, Issue 7, pp. 25-51, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2014)

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@Article{bernstein_et_al:DagRep.4.7.25,
  author =	{Bernstein, Abraham and Leimeister, Jan Marco and Noy, Natasha and Sarasua, Cristina and Simperl, Elena},
  title =	{{Crowdsourcing and the Semantic Web (Dagstuhl Seminar 14282)}},
  pages =	{25--51},
  journal =	{Dagstuhl Reports},
  ISSN =	{2192-5283},
  year =	{2014},
  volume =	{4},
  number =	{7},
  editor =	{Bernstein, Abraham and Leimeister, Jan Marco and Noy, Natasha and Sarasua, Cristina and Simperl, Elena},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/DagRep.4.7.25},
  URN =		{urn:nbn:de:0030-drops-47845},
  doi =		{10.4230/DagRep.4.7.25},
  annote =	{Keywords: Crowdsourcing, Human Computation, Games with a Purpose, Microtask Crowdsourcing, Semantic Web, Linked Data, Quality Assurance, Crowd Management, Work Incentives}
}
Document
DOI: 10.4230/DagRep.2.4.39
Semantic Data Management (Dagstuhl Seminar 12171)

Authors: Grigoris Antoniou, Oscar Corcho, Karl Aberer, Elena Simperl, and Rudi Studer

Published in: Dagstuhl Reports, Volume 2, Issue 4 (2012)

Abstract
This report documents the program and the outcomes of Dagstuhl Seminar 12171 "Semantic Data Management". The purpose of the seminar was to have a fruitful exchange of ideas between the semantic web, database systems and information retrieval communities, organised across four main themes: scalability, provenance, dynamicity and search. Relevant key questions cutting across all of these themes were: (i) how can existing DB and IR solutions be adapted to manage semantic data; and (ii) are there new challenges that arise for the DB and IR communities (i.e. are radically new techniques required)? The outcome was a deeper, more integrated understanding of the current state of the art on semantic data management and a the identification of a set of open challenges that will inform the three communities in this intersection.
Cite as

Grigoris Antoniou, Oscar Corcho, Karl Aberer, Elena Simperl, and Rudi Studer. Semantic Data Management (Dagstuhl Seminar 12171). In Dagstuhl Reports, Volume 2, Issue 4, pp. 39-65, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2012)

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@Article{antoniou_et_al:DagRep.2.4.39,
  author =	{Antoniou, Grigoris and Corcho, Oscar and Aberer, Karl and Simperl, Elena and Studer, Rudi},
  title =	{{Semantic Data Management (Dagstuhl Seminar 12171)}},
  pages =	{39--65},
  journal =	{Dagstuhl Reports},
  ISSN =	{2192-5283},
  year =	{2012},
  volume =	{2},
  number =	{4},
  editor =	{Antoniou, Grigoris and Corcho, Oscar and Aberer, Karl and Simperl, Elena and Studer, Rudi},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/DagRep.2.4.39},
  URN =		{urn:nbn:de:0030-drops-35976},
  doi =		{10.4230/DagRep.2.4.39},
  annote =	{Keywords: Semantic data, Semantic Web, Linked Data, Large-scale data management, Dynamicity and stream processing, Provenance and access control, Information retrieval and ranking}
}
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