<p>This thesis is about collaborative activities in interactive spaces. These spaces are characterized by having shared, large displays in combination with private displays and software tools that facilitate a fluent sharing of information between people and their resources. The aim is to understand the collaborative activities in interactive spaces in terms of how team members are allowed to contribute to the overall work and what influence the physical qualities of space have on the collaboration. The research questions focus on the ways team members come to contribute to the work, how roles and functions are handled during collaboration, and how the physical qualities of the space influence the collaborative activities. To investigate these issues two empirical studies were conducted. The first study focused on two student teams that carried out conceptual design activities. The second study focused on geographically distributed meetings of an international research network. Data was mainly collected using video recordings, observations and questionnaires. The analyses are primarily based on detailed investigations of video recordings. The results showed in the first study that the large, touch-sensitive displays made it possible for the team members to interact and contribute to the work in several ways, which led to more equalized roles. In the second study the setting was more complex; the use of both video- and audio conferences made it difficult for the team members to overview the situation and to take part in the conversations, and their roles became more accentuated. It was further found that the physical- and the social space were intertwined: they appeared as spaces within spaces. The team members were also in a concrete sense constructing spaces within spaces: they created their own spaces in the common space and they often made transitions between shared and private, focal and peripheral work.</p>

This thesis is about collaborative activities in interactive spaces. These spaces are characterized by having shared, large displays in combination with private displays and software tools that facilitate a fluent sharing of information between people and their resources. The aim is to understand the collaborative activities in interactive spaces in terms of how team members are allowed to contribute to the overall work and what influence the physical qualities of space have on the collaboration. The research questions focus on the ways team members come to contribute to the work, how roles and functions are handled during collaboration, and how the physical qualities of the space influence the collaborative activities. To investigate these issues two empirical studies were conducted. The first study focused on two student teams that carried out conceptual design activities. The second study focused on geographically distributed meetings of an international research network. Data was mainly collected using video recordings, observations and questionnaires. The analyses are primarily based on detailed investigations of video recordings. The results showed in the first study that the large, touch-sensitive displays made it possible for the team members to interact and contribute to the work in several ways, which led to more equalized roles. In the second study the setting was more complex; the use of both video- and audio conferences made it difficult for the team members to overview the situation and to take part in the conversations, and their roles became more accentuated. It was further found that the physical- and the social space were intertwined: they appeared as spaces within spaces. The team members were also in a concrete sense constructing spaces within spaces: they created their own spaces in the common space and they often made transitions between shared and private, focal and peripheral work.

This dissertation seeks to answer the research questions that arise when digital technologies are used to support distributed, artifact-centric, scientific collaboration. Scientific research is fundamentally collaborative in nature, with researchers often forming collaborations that involve colleagues from other institutions and often other countries. Modern research tools, such as high-resolution scientific instruments and sophisticated computational simulations, are providing scientists with digital data at an unprecedented rate. Thus, digital artifacts are the focus of many of today’s scientific collaborations. The understanding of scientific data is difficult because of the complexity of the scientific phenomena that the data represents. Such data is often complex in structure, dynamic in nature (e.g. changes over time), and poorly understood (little a-priori knowledge about the phenomena). These issues are exacerbated when such collaborations take place between scientists who are working together at a distance. This dissertation studies the impact of distance on artifact-centric scientific collaboration. It utilizes a multi-dimensional research approach, considering scientific collaboration at multiple points along the methodological (qualitative/quantitative research methods), cognitive (encoding/decoding), community (many/single research groups), group locality (collocated/distributed), and technological (prototype/production) dimensions. This research results in three primary contributions: 1) a new framework (CoGScience) for the study of distributed, artifact-centric collaboration; 2) new empirical evidence about the human communication channels scientists use to collaborate (utilizing both longitudinal/naturalistic and laboratory studies); and 3) a set of guidelines for the design and creation of more effective distributed, scientific collaboration tools.

Collaboration is one of the most important topics regarding the evolution of the World Wide Web and thus also for the Web of Data. In scenarios of distributed collaboration on datasets it is necessary to provide support for multiple different versions of datasets to exist simultaneously, while also providing support for merging diverged datasets. In this paper we present an approach that uses SPARQL 1.1 in combination with the version control system Git, that creates commits for all changes applied to an RDF dataset containing multiple named graphs. Further the operations provided by Git are used to distribute the commits among collaborators and merge diverged versions of the dataset. We show the advantages of (public) Git repositories for RDF datasets and how this represents a way to collaborate on RDF data and consume it. With SPARQL 1.1 and Git in combination, users are given several opportunities to participate in the evolution of RDF data.

Ziel dieser Arbeit ist es, die Entwicklung von RDF-Wissensbasen in verteilten kollaborativen Szenarien zu unterstützen. In dieser Arbeit wird eine neue Methodik für verteiltes kollaboratives Knowledge Engineering – „Quit“ – vorgestellt. Sie geht davon aus, dass es notwendig ist, während des gesamten Kooperationsprozesses Dissens auszudrücken und individuelle Arbeitsbereiche für jeden Mitarbeiter bereitzustellen. Der Ansatz ist von der Git-Methodik zum kooperativen Software Engineering inspiriert und basiert auf dieser. Die Analyse des Standes der Technik zeigt, dass kein System die Git-Methodik konsequent auf das Knowledge Engineering überträgt. Die Hauptmerkmale der Quit-Methodik sind unabhängige Arbeitsbereiche für jeden Benutzer und ein gemeinsamer verteilter Arbeitsbereich für die Zusammenarbeit. Während des gesamten Kollaborationsprozesses spielt die Data-Provenance eine wichtige Rolle. Zur Unterstützung der Methodik ist der Quit-Stack als eine Sammlung von Microservices implementiert, die es ermöglichen, die Semantic-Web-Datenstruktur und Standardschnittstellen in den verteilten Kollaborationsprozess zu integrieren. Zur Ergänzung der verteilten Datenerstellung werden geeignete Methoden zur Unterstützung des Datenverwaltungsprozesses erforscht. Diese Managementprozesse sind insbesondere die Erstellung und das Bearbeiten von Daten sowie die Publikation und Exploration von Daten. Die Anwendung der Methodik wird in verschiedenen Anwendungsfällen für die verteilte Zusammenarbeit an Organisationsdaten und an Forschungsdaten gezeigt. Weiterhin wird die Implementierung quantitativ mit ähnlichen Arbeiten verglichen. Abschließend lässt sich feststellen, dass der konsequente Ansatz der Quit-Methodik ein breites Spektrum von Szenarien zum verteilten Knowledge Engineering im Semantic Web ermöglicht.:Preface by Thomas Riechert Preface by Cesare Pautasso 1 Introduction 2 Preliminaries 3 State of the Art 4 The Quit Methodology 5 The Quit Stack 6 Data Creation and Authoring 7 Publication and Exploration 8 Application and Evaluation 9 Conclusion and Future Work Bibliography Web References List of Figures List of Tables List of Listings List of Definitions and Acronyms List of Namespace Prefixes / The aim of this thesis is to support the development of RDF knowledge bases in a distributed collaborative setup. In this thesis, a new methodology for distributed collaborative knowledge engineering – called Quit – is presented. It follows the premise that it is necessary to express dissent throughout a collaboration process and to provide individual workspaces for each collaborator. The approach is inspired by and based on the Git methodology for collaboration in software engineering. The state-of-the-art analysis shows that no system is consequently transferring the Git methodology to knowledge engineering. The key features of the Quit methodology are independent workspaces for each user and a shared distributed workspace for the collaboration. Throughout the whole collaboration process data provenance plays an important role. To support the methodology the Quit Stack is implemented as a collection of microservices, that allow to integrate the Semantic Web data structure and standard interfaces with the distributed collaborative process. To complement the distributed data authoring, appropriate methods to support the data management process are researched. These management processes are in particular the creation and authoring of data as well as the publication and exploration of data. The application of the methodology is shown in various use cases for the distributed collaboration on organizational data and on research data. Further, the implementation is quantitatively compared to the related work. Finally, it can be concluded that the consequent approach followed by the Quit methodology enables a wide range of distributed Semantic Web knowledge engineering scenarios.:Preface by Thomas Riechert Preface by Cesare Pautasso 1 Introduction 2 Preliminaries 3 State of the Art 4 The Quit Methodology 5 The Quit Stack 6 Data Creation and Authoring 7 Publication and Exploration 8 Application and Evaluation 9 Conclusion and Future Work Bibliography Web References List of Figures List of Tables List of Listings List of Definitions and Acronyms List of Namespace Prefixes