An end-to-end learning solution for assessing quality of Wikipedia articles

Title: An end-to-end learning solution for assessing quality of Wikipedia articles

Authors: Quang-Vinh Dang:University de Lorraine; Claudia-Lavinia Ignat:INRIA

Abstract: Wikipedia is considered as the largest knowledge repository in the history of humanity and plays a crucial role in modern daily life. Assigning the correct quality class to Wikipedia articles is an important task in order to provide guidance for both authors and readers of Wikipedia. The manual review cannot cope with the editing speed of Wikipedia. An automatic classification is required to classify the quality of Wikipedia articles. Most existing approaches rely on traditional machine learning with manual feature engineering, which requires a lot of expertise and effort. Furthermore, it is known that there is no general perfect feature set because information leak always occurs in feature extraction phase. Also, for each language of Wikipedia, a new feature set is required.

In this paper, we present an approach relying on deep learning for quality classification of Wikipedia articles. Our solution relies on Recurrent Neural Networks (RNN) which is an end-to-end learning technique that eliminates disadvantages of feature engineering. Our approach learns directly from raw data without human intervention and is language-neutral. Experimental results on English, French and Russian Wikipedia datasets show that our approach outperforms state-of-the-art solutions.

Download: This contribution is part of the OpenSym 2017 proceedings and is available as a PDF file.

How are Open Source Practices Possible within a Medical Diagnostics Company? Developing and Testing a Maturity Model of Inner Source Implementation

Title: How are Open Source Practices Possible within a Medical Diagnostics Company? Developing and Testing a Maturity Model of Inner Source Implementation

Authors: Remo Eckert:University of Bern; Sathya Kay Meyer:University of Bern; Matthias Stuermer:University of Bern

Abstract: Open Source Software (OSS) development has seen a considerable increase in attention over the last few years. The success of various OSS projects, such as Linux and Apache, is now widely recognized. Many organizations have shown interest not only in using OSS, but also in applying the underlying collaborative practices within their internal software development activities; this phenomenon is known as Inner Source. By combining best practices of OSS development from the current Inner Source literature, we develop a new model that allows us to rate an organization’s maturity level regarding the adoption of Inner Source. By testing our model within a medical diagnostics corporation, we present various insights on Inner Source efforts and how Inner Source can improve software development.

Download: This contribution is part of the OpenSym 2017 proceedings and is available as a PDF file.

On the Relationship between Newcomer Motivations and Contribution Barriers in Open Source Projects

Title: On the Relationship between Newcomer Motivations and Contribution Barriers in Open Source Projects

Authors: Christoph Hannebauer:Universitat Duisburg-Essen; Volker Gruhn:Universitat Duisburg-Essen

Abstract: There has been extensive research on the the factors that motivate software developers to contribute to an Open Source Software (OSS) project. Contribution barriers are the counterside to motivations and prevent newcomers from joining the OSS project. This study searches for relations between motivations and contribution barriers with a web-based survey of 117 developers who had recently contributed their first patch to either Mozilla or GNOME.

The results substantiate the hypothesis that newcomers’ motivations mirror their mental models of the OSS project they are going to contribute to, and that the mental model determines the impact of contribution barriers. More generally, we propose a new model for the joining process to an OSS project that takes social properties, motivations, and contribution barriers
into account.

Download: This contribution is part of the OpenSym 2017 proceedings and is available as a PDF file.

What do Wikidata and Wikipedia have in common? An analysis of their use of external references

Title: What do Wikidata and Wikipedia have in common? An analysis of their use of external references

Authors: Alessandro Piscopo:University of Southampton; Pavlos Vougiouklis:University of Southampton; Lucie-Aimee Kaffee:University of Southampton; Christopher Phethean:University of Southampton; Jonathon Hare:University of Southampton; Elena Simperl:University of Southampton

Abstract: Wikidata is a community-driven knowledge graph, strongly linked to Wikipedia. However, the connection between the two projects has been sporadically explored. We investigated the relationship between the two projects in terms of the information they contain by looking at their external references. Our findings show that while only a small number of sources is directly reused across Wikidata and Wikipedia, references often point to the same domain. Furthermore, Wikidata appears to use less Anglo-American-centred sources. These results deserve further in-depth investigation.

Download: This contribution is part of the OpenSym 2017 proceedings and is available as a PDF file.

Program is available

The program for OpenSym 2019 is now available, please see:
https://opensym.org/os2019/program/

Financial support for PhD students

Thanks to the generous support from the TOTO project (University College Cork, Ireland) which is funded by the Lewis Charitable Foundation (USA), we have the pleasure to offer PhD students that have registered for participation in the main OpenSym 2019 event, and that also qualify to participate in the Doctoral Symposium, the opportunity to apply for financial support to cover the registration cost (900 SEK) for the Doctoral Symposium.

For details, see:
https://opensym.org/os2019/doctoral-consortium-at-opensym/

Bruce Perens gives keynote on Open Source in Space @ OpenSym 2019

Bruce Perens gives keynote on Open Source in Space @ OpenSym 2019, see Keynotes for details.

Deadline for submission is approaching, but you can still submit your papers (see Call for Papers).

Announcing our second keynote speaker: Andrew Katz

We are very excited to announce Andrew Katz as a keynote speaker at OpenSym 2019!

For further details, see Keynotes.

Submission site is open

The submission site for OpenSym 2019 is now open.

All submissions are done via the EasyChair platform:
https://easychair.org/conferences/?conf=opensym2019

Announcing our first keynote speaker: Bruce Perens

We are extremely excited to announce Bruce Perens as a keynote speaker at OpenSym 2019!

For further details, see Keynotes.