Category Archives: Announcement

A Leader-Driven Open Collaboration Platform for Exploring New Domains

Announcement, Conference Contributions, OpenSym 2016, Proceedings, Research Contributions, Research Tracks, Short Research Papers, Wikis and Open Collaboration Track

Title: A Leader-Driven Open Collaboration Platform for Exploring New Domains

Authors: Michael Weiss, Ibrahim AbuAlhaol and Mohamed Amin (Carleton University)

Abstract: This paper describes the design and initial evaluation of a leader-driven open collaboration platform for exploring new domains. The goal of this platform is to enable the collaboration of subject matter experts across knowledge boundaries. Traditionally, new domains are explored from within a single specialist or a focused group perspective. However, this often introduces bias. Collaboration helps reduce such bias by providing access to a broader range of information sources, increasing the chances for producing new insights in a new domain. However, it also introduces a new problem: variance between the contributions made. Variance makes it difficult to produce a coherent document. In this paper, we derive propositions about how leader-driven open collaboration is expected to help reduce bias while containing variance. We also offer an initial evaluation of these propositions based on our observations from developing an initial prototype of the open collaboration platform.

This contribution to OpenSym 2016 will be made available as part of the OpenSym 2016 proceedings on or after August 17, 2016.

Supporting Cyber Resilience with Semantic Wiki

Announcement, Conference Contributions, Full Research Papers, OpenSym 2016, Proceedings, Research Contributions, Research Tracks, Wikis and Open Collaboration Track

Title: Supporting Cyber Resilience with Semantic Wiki

Authors: Riku Nykänen and Tommi Kärkkäinen (University of Jyväskylä)

Abstract: Cyber resilient organizations, their functions and computing infrastructures, should be tolerant towards rapid and unexpected changes in the environment. Information security is an organization-wide common mission; whose success strongly depends on efficient knowledge sharing. For this purpose, semantic wikis have proved their strength as a flexible collaboration and knowledge sharing platforms. However, there has not been notable academic research on how semantic wikis could be used as information security management platform in organizations for improved cyber resilience. In this paper, we propose to use semantic wiki as an agile information security management platform. More precisely, the wiki contents are based on the structured model of the NIST Special Publication 800-53 information security control catalogue that is extended in the research with the additional properties that support the information security management and especially the security control implementation. We present common uses cases to manage the information security in organizations and how the use cases can be implemented using the semantic wiki platform. As organizations seek cyber resilience, where focus is in the availability of cyber related assets and services, we extend the control selection with option to focus on availability. The results of the study show that a semantic wiki based information security management and collaboration platform can provide a cost-efficient solution for improved cyber resilience, especially for small and medium sized organizations that struggle to develop information security with the limited resources.

This contribution to OpenSym 2016 will be made available as part of the OpenSym 2016 proceedings on or after August 17, 2016.

Enabling team collaboration with task management tools

Announcement, Conference Contributions, Full Research Papers, OpenSym 2016, Proceedings, Research Contributions, Research Tracks, Wikis and Open Collaboration Track

Title: Enabling team collaboration with task management tools

Authors: Dimitra Chasanidou, Brian Elvesæter, and Arne-Jørgen Berre (SINTEF ICT)

Abstract: Project and task management tools aim to support remote or face-to-face collaboration. Despite the growing needs for these tools, little is known about how they are utilized in practice. This paper presents the results of an exploratory study using UpWave, a task management tool, and the ways that it enables team collaboration. The group interviewees utilize UpWave for their collaborations and report on its features in terms of use, best practices, motivations and rewards for users to encourage their collaboration. This paper concludes that project and task management tools offer new possibilities for collaborations; it also makes suggestions for using such tools in teams. This study’s future work will include a mixed-methods approach to gain a greater understanding of the tools’ effects in various collaboration settings.

This contribution to OpenSym 2016 will be made available as part of the OpenSym 2016 proceedings on or after August 17, 2016.

Mining team characteristics to predict Wikipedia article quality

Announcement, Conference Contributions, Full Research Papers, OpenSym 2016, Proceedings, Research Contributions, Research Tracks, Wikipedia Track

Title: Mining team characteristics to predict Wikipedia article quality

Authors: Grace Gimon Betancourt, Armando Segnini, Carlos Trabuco, Amira Rezgui and Nicolas Jullien (Télécom Bretagne)

Abstract: In this study, we were interested in studying which characteristics of virtual teams are good predictors for the quality of their production. The experiment involved obtaining the Spanish Wikipedia database dump and applying different data mining techniques sui- table for large data sets to label the whole set of articles according to their quality (comparing them with the Featured/Good Articles, or FA/GA). Then we created the attributes that describe the characteristics of the team who produced the articles and using decision tree methods, we obtained the most relevant characteristics of the teams that produced FA/GA. The team’s maximum efficiency and the total length of contribution are the most important predictors. This article contributes to the literature on virtual team organization.

This contribution to OpenSym 2016 will be made available as part of the OpenSym 2016 proceedings on or after August 17, 2016.

Group Formation for Small-Group Learning: Are Heterogeneous Groups More Productive?

Announcement, Conference Contributions, Open Educational Resources Track, OpenSym 2016, Proceedings, Research Contributions, Research Tracks, Short Research Papers

Title: Group Formation for Small-Group Learning: Are Heterogeneous Groups More Productive?

Authors: Astrid Wichmann (Ruhr-University Bochum), Tobias Hecking (University of Duisburg-Essen), Malte Elson, Nina Christmann, Thomas Herrmann (Ruhr-University Bochum), and H. Ulrich Hoppe (University of Duisburg-Essen)

Abstract: There is an underexploited potential in enhancing massive online learning courses through small-group learning activities. Size and diversity allow for optimizing group composition in small-group tasks. The purpose of this paper was to investigate how groups formed based on learner behavior affect productivity of students in a small-group task. Students classified as high, average and low were randomly assigned to homogeneous or heterogeneous groups. Results indicate that overall, heterogeneous groups were either similarly or a bit more productive than homogeneous groups. Yet, we found that homogeneous groups classified as high-level were as or more than heterogeneous groups. However, heterogeneous groups were still more productive than homogeneous-average and homogeneous-low groups suggesting heterogeneous groups are the best choice for the entire community. Students classified as low-level were more productive in homogeneous groups, suggesting that grouping less active students together, makes social loafing more difficult and students participate more.

This contribution to OpenSym 2016 will be made available as part of the OpenSym 2016 proceedings on or after August 17, 2016.

A Sector-Selection Methodology for Living Labs Implementation

Announcement, Conference Contributions, Full Research Papers, Open Innovation Track, OpenSym 2016, Proceedings, Research Contributions, Research Tracks

Title: A Sector-Selection Methodology for Living Labs Implementation

Author: Dr Ir Robert VISEUR (CETIC)

Abstract: Creative Wallonia is a framework program that puts creativity and innovation at the heart of the redevelopment of Wallonia. In the context of Creative Wallonia, the Walloon government has decided to study the implementation of Living Lab pilot projects in Wallonia. The initiators required to identify two sectors in which the pilot phase could be addressed and conducted. This paper is dedicated to the sector selection methodology that was developed for the implementation of the Walloon Living Lab pilot projects. The paper is organized in three sections. In the first section we search for the criteria that could be used to select appropriate sectors. In the second section we present the developed methodology and the selection grid based on criteria. In the third section we discuss the grid and the results after application to the Walloon call for pilot projects. The contribution of the research consists in a methodology that allows to objectivize the choice of sectors that will be applied to the future Living Lab projects. Finally, a preliminary feedback about the living labs implementation is discussed.

This contribution to OpenSym 2016 will be made available as part of the OpenSym 2016 proceedings on or after August 17, 2016.

Operation Digital Chameleon – Towards an Open Cybersecurity Method

Announcement, Conference Contributions, Full Research Papers, Open Innovation Track, OpenSym 2016, Proceedings, Research Contributions, Research Tracks

Title: Operation Digital Chameleon – Towards an Open Cybersecurity Method

Authors: Andreas Rieb and Ulrike Lechner (Universität der Bundeswehr München, Germany)

Abstract: In the Serious Game Operation Digital Chameleon red and blue teams develop attack and defense strategies to explore IT-Security of Critical Infrastructures as part of an IT-Security training. Operation Digital Chameleon is the training game of the IT- Security Matchplay series in the IT-Security for Critical Infrastructure research program funded by BMBF. We present the design of Operation Digital Chameleon in its current form as well as results from game #3. We analyze the potential and innovation capability of Operation Digital Chameleon as an Open Innovation method for the domain of IT-Security of Critical Infrastructures. We find that Operation Digital Chamaeleon facilitates creativity, opens the process of IT-Security strategy development and – despite being designed for training purposes – opens the process to explore innovative attack vectors.

This contribution to OpenSym 2016 will be made available as part of the OpenSym 2016 proceedings on or after August 17, 2016.

Open Concentration Index: Measure of Market Concentration in Open Source Industry

Announcement, Conference Contributions, F/L/OSS Track, OpenSym 2016, Proceedings, Research Contributions, Research Tracks, Short Research Papers

Title: Open Concentration Index: Measure of Market Concentration in Open Source Industry

Author: Dr Ir Robert Viseur (CETIC)

Abstract: The market concentration is a measure of competition and, as such, is closely monitored by public competition authorities in the European Union or the United States. Among recent claims in Europe, we study the case of the mobile operating system Google Android, despite its open source quality and the fact it can as such be regarded as presenting no risk in terms of market dominance. In this research, we analyze the concept of market concentration. We suggest that when a dominant or significant participant is open, such as is the case for the Apache web server in the overall web server market, the negative effects of high concentration are mitigated. As such, a new market concentration metric is proposed that takes into account openness, as measured by the Open Governance Index of Liz Laffan. We thus combine a concentration index and a governance index described in literature to obtain Open Concentration Index suitable for open source context.

This contribution to OpenSym 2016 will be made available as part of the OpenSym 2016 proceedings on or after August 17, 2016.

An Empirical Evaluation of Property Recommender Systems for Wikidata and Collaborative Knowledge Bases

Announcement, Conference Contributions, Full Research Papers, OpenSym 2016, Proceedings, Research Contributions, Research Tracks, Wikipedia Track

Title: An Empirical Evaluation of Property Recommender Systems for Wikidata and Collaborative Knowledge Bases

Authors: Eva Zangerle, Wolfgang Gassler, Martin Pichl, Stefan Steinhauser, Günther Specht (University of Innsbruck)

Abstract: The Wikidata platform is a crowdsourced, structured knowledgebase aiming to provide integrated, free and languageagnostic facts which are amongst others used by Wikipedias. Users who actively enter, review and revise data on Wikidata are assisted by a property suggesting system which provides users with properties that might also be applicable to a given item. We argue that evaluating and subsequently improving this recommendation mechanism and hence, assisting users, can directly contribute to an even more integrated, consistent and extensive knowledge base serving a huge variety of applications. However, the quality and usefulness of such recommendations has not been evaluated yet. In this work, we provide the first evaluation of different approaches aiming to provide users with property recommendations in the process of curating information on Wikidata. We compare the approach currently facilitated on Wikidata with two state-of-the-art recommendation approaches stemming from the field of RDF recommender systems and collaborative information systems. Further, we also evaluate hybrid recommender systems combining these approaches. Our evaluations show that the current recommendation algorithm works well in regards to recall and precision, reaching a recall@7 of 79.71% and a precision@7 of 27.97%. We also find that generally, incorporating contextual as well as classifying information into the computation of property recommendations can further improve its performance significantly.

This contribution to OpenSym 2016 will be made available as part of the OpenSym 2016 proceedings on or after August 17, 2016.

Evaluating and Improving Navigability of Wikipedia: A Comparative Study of Eight Language Editions

Announcement, Conference Contributions, Full Research Papers, OpenSym 2016, Proceedings, Research Contributions, Research Tracks, Wikipedia Track

Title: Evaluating and Improving Navigability of Wikipedia: A Comparative Study of Eight Language Editions

Authors: Daniel Lamprecht (KTI, Graz University of Technology), Dimitar Dimitrov (GESIS – Leibniz Institute for the Social Sciences), Denis Helic (KTI, Graz University of Technology) and Markus Strohmaier (GESIS – Leibniz Institute for the Social Sciences and University of Koblenz-Landau)

Abstract: Wikipedia supports its users to reach a wide variety of goals: looking up facts, researching a topic, making an edit or simply browsing to pass time. Some of these goals, such as the lookup of facts, can be effectively supported by search functions. However, for other use cases such as researching an unfamiliar topic, users need to rely on the links to connect articles. In this paper, we investigate the state of navigability in the article networks of eight language versions of Wikipedia. We find that, when taking all links of articles into account, all language versions enable mutual reachability for almost all articles. However, previous research has shown that visitors of Wikipedia focus most of their attention on the areas located close to the top. We therefore investigate different restricted navigational views that users could have when looking at articles. We find that restricting the view of articles strongly limits the navigability of the resulting networks and impedes navigation. Based on this analysis we then propose a link recommendation method to augment the link network to improve navigability in the network. Our approach selects links from a less restricted view of the article and proposes to move these links into more visible sections. The recommended links are therefore relevant for the article. Our results are relevant for researchers interested in the navigability of Wikipedia and open up new avenues for link recommendations in Wikipedia editing.

This contribution to OpenSym 2016 will be made available as part of the OpenSym 2016 proceedings on or after August 17, 2016.