Livrables
This deliverable will describe an initial version of the results and methods originating from the detection and enrichment work in WP2 where the key aim is to identify learningrelated notions and patterns in data produced in WP1 WP2 and WP4 That may include automated means of enriching data as well as additional experimental work to identify or verify patternsnotions of learning collaboration or knowledge production
Description of the available social environments and dataThis document will specify and describe the social spaces that will be studied in the use case, that is: a) identify and characterise the set of GNOSS-Didactalia communities for the analysis, as main environments of the use case, b) define which other additional potential environments will be employed for the use case, establishing the strategy and methods to obtain their data, perform the integration and evaluate the results. It will also identify which data will be collected from the activity and interactions of the users in the platforms, for their use in WP1, WP2, WP3 and WP4.
Report on the analysis of handling complexityThis deliverable will present a method and results of using the data from the previous three workpackages and from T4.2 in order to analyse how communities deal with complexity, through filtering out certain pieces of information in order to be able to handle those few influences which that system permits.
Specification of data to be collectedReport on the data that will be extracted from every source (data about users’ activity, how they behave, how they interact with each other and with contents, etc.), that could provide information about learning activities.
Further exploitation planBased on the experience gained in carrying out in the Integration of the analytic tools and models Tasks T53 and the addition to the GNOSS commercial offering T64 we will here investigate other possible channels of exploitation in the form of other platforms where the tools and models of the project can be integrated Selection of the most promising ones The results will then be incorporated into a further exploitation plan
Development and evaluation of ontological and stochastic methods for recognising and classifying learning activitiesDescription of a method employing an ontological approach to data capture through integrating the previous data extraction and feature engineering activities with the enrichment provided in WP2 and Markov decision modelbased approaches to aligning them with the model of WP4
Report on the analysis of learning & collaborationThis deliverable will describe methods using the data retrieved and processed in workpackages 1-3 to analyse how knowledge construction in this online social environment occurs, at the community level as well as the individual level.
Report on the analysis of self-organisationThis deliverable will describe a method and the results of using data from the previous three workpackages and from T4.1 to analyse how learning communities maintain themselves by taking up those aspects of communication from the environment that are relevant for its continuance.
Conceptual Framework of Visual analytics of conflicts, problems and barriersThis deliverable introduces a conceptual framework describing visual analytics methods for identifying conflicts, problems and barriers which hinder learning processes in online social environments. An observer (administrator) shall be empowered to make decisions for improving the learning environment and learning experience.
Report describing the analysis of the constitution of meaningThis deliverable will describe methods and results using the data from the previous three workpackages and from T43 in order to analyse how systems select certain parts of the irritations and stimuli from outside and transform them into meaningful information
Integrated model of informal learning in social spaces and evaluationThis deliverable will describe the lessons learnt and an integrated view from the work achieved on different aspects of the analyses of learning activities communities and complexity in online social learning platforms in WP4
First report on dissemination activitiesFirst report on dissemination activities based on the communication and dissemination targetsUpdate and adaptation of the communication and dissemination plan if needed
Final report on exploitation plan and activitiesDissemination plan
Set up of a targeted communication and dissemination plan for the project. An essential part of it is the clear determination of communication and dissemination objectives, the identification of relevant target groups and events as well as the development of a target-group-oriented communication strategy.
First evaluation of the adoption and benefit of analytics in social environmentsThis report will evaluate the use of learning analytic tools through AFEL tools in social environments with main focus in the analysis of their application in GNOSSDidactalia communities but also in other online social learning platforms that will be defined in D51 This first evaluation will be carried out with intermediary data and tools
Detection and Enrichment of Learning Patterns/Notions v.2This deliverable describes the second version of D231 and will describe the refined methods and results for detection and enrichment of learning patternsnotions specifically considering visual analytics approaches from WP3
Evaluation results for visual analytics toolsThis deliverable provides results on gathered experiences and performed evaluations of the developed visual analytics tools and methods The results will include qualitative and quantitative analyses evaluating the contribution of developed methods in gaining new insights that aid informal learning
Final evaluation of the adoption and benefit of analytics in social environmentsThis deliverable consists of the second and final report that evaluates the application of learning analytics in social environments with main focus in the analysis of their application in GNOSSDidactalia communities but also in other online social learning platforms that will be defined in D51This report will be carried out on final results of the project and will take into account the evaluations performed in WP3 D37 and WP4 D45
Data management, final reportFinal version of the data management report
Data Analytics & Entity Linking for Learning AnalyticsThis deliverable will describe analytics, enrichment and linking approaches for the data and learning analytics scenarios in the project. This includes methods for analysing and consolidating data produced in WP1 - by automated means as well as through Web-scale crowdsourcing - as well as the derivation of novel analytical approaches for extracting relevant insights, for instance, wrt theories and models produced WP4.
Conceptual Framework of Visual analytics of CommunitiesThis deliverable introduces a conceptual framework describing visual analytics methods for gaining understanding of informal learning processes in online social environments. The focus is on understanding communities and patterns in social learning processes, including analysis of the evolution of learning activity streams, and delivery of a personalized visual environmet enabling user to make progress depending on explicit and implicit (derived) preferences.
Feature definitions and extraction methodsDescription of the first layer of data processing, researching the features in the raw data extracted, to obtain information that can be meaningfully processed for analysis and modelling.
Second report on dissemination activitiesFinal report on dissemination activities based on the communication and dissemination targets
A dedicated, public community on GNOSS will be setup to connect with interested parties. Set up of the AFEL project website, as well as of social media (twitter feed, etc.) to connect to the relevant communities.
Web of GNOSS products updated with AFEL tools offerThe AFEL tools integrated into the GNOSS platform will be included in the web of GNOSS products as part of its commercial offering
Development of prototype applications with potential for commercial applications after the projects end This includes application for informal learning of generic social networking platform such as Facebook or LinkedIn as well as the potential development of more dedicated solutions for socialinformal learning to be integrated within schoolsuniversities ICT environments eg SocialLearn httpsociallearnopenacuk and LearnWeb This will also include offering an open source development API for the tools and techniques developed in the project as a simplified version of the technical platform applied on GNOSS and usable to develop applications of other online social systems
Large-Scale Dataset for (Social) Learning Analytics, Release 3This deliverable describes the second version of the AFEL datasets and will contain an expanded enriched and restructured version of D24
Large-Scale Dataset for (Social) Learning Analytics, Release 2This deliverable describes the second version of the AFEL datasets and will contain an expanded enriched and restructured version of D22
Complete data extraction and management infrastructure and evaluationThis deliverable presents the second and completed version of the data extraction and management infrastructure of the project
Ontological models of learning activitiesAn ontological framework for the datamodelling definition of learning activities in such a way that they can be recognised and to a certain extent classified from the data obtained from social media
Integrated feature extraction for analytics and evaluationsThis prototype exploits the feedback loop between the later analytics enrichment and modelling tasks of the project to identify base requirements for the identifications of learning activities and address them through employing state of the art clustering natural language processing and data refactoring techniques
Base data management infrastructure and core data modelData extraction and management infrastructure to collect data from online social environments and make them available to the rest of the project. This includes the core data model of the project (integrating existing models into a linked data-compliant vocabulary), creating extractors for specific sources of data such as the logs of GNOSS, Facebook’s activity streams or LinkedIn skills and education APIs, and deploying a data management platform consisting of a triple store and a data endpoint for supporting convenient use by other processes in the project.
Large-Scale Dataset for (Social) Learning Analytics, Release 1The first version of the AFEL dataset will consist primarily of data collected as part of data extraction and crawling activities in WP1 and WP2. Data will be enriched and expanded throughout later iterations of the dataset.
Application of analytics tools and models in additional online social platformsGeneric tools developed with the GNOSS platform as a primary testbed will be extracted and tested on other social platforms and made available as reusable components
Publications
Auteurs:
Dominik Kowald, Elisabeth Lex
Publié dans:
2017
Éditeur:
arXiv
Auteurs:
Besnik Fetahu, Katja Markert, Avishek Anand
Publié dans:
2017
Éditeur:
arXiv
Auteurs:
Belgin Mutlu, Eduardo Veas, Christoph Trattner
Publié dans:
Proceedings of the 28th ACM Conference on Hypertext and Social Media - HT '17, 2017, Page(s) 265-274, ISBN 9781-450347082
Éditeur:
ACM Press
DOI:
10.1145/3078714.3078741
Auteurs:
Ran Yu, Ujwal Gadiraju, Peter Holtz, Markus Rokicki, Philipp Kemkes, Stefan Dietze
Publié dans:
The 41st International ACM SIGIR Conference on Research & Development in Information Retrieval - SIGIR '18, 2018, Page(s) 75-84, ISBN 9781-450356572
Éditeur:
ACM Press
DOI:
10.1145/3209978.3210064
Auteurs:
Ujwal Gadiraju, Jie Yang, Alessandro Bozzon
Publié dans:
Proceedings of the 28th ACM Conference on Hypertext and Social Media - HT '17, 2017, Page(s) 5-14, ISBN 9781-450347082
Éditeur:
ACM Press
DOI:
10.1145/3078714.3078715
Auteurs:
Wassim Derguech, Mathieu d’Aquin
Publié dans:
Proceedings of the Re-coding Black Mirror 2017 Workshop, 2017
Éditeur:
CEUR-WS
Auteurs:
Ran Yu, Ujwal Gadiraju, Besnik Fetahu, Stefan Dietze
Publié dans:
2017 IEEE 33rd International Conference on Data Engineering (ICDE), 2017, Page(s) 179-182, ISBN 978-1-5090-6543-1
Éditeur:
IEEE
DOI:
10.1109/icde.2017.69
Auteurs:
Ujwal Gadiraju, Ran Yu, Stefan Dietze, Peter Holtz
Publié dans:
Proceedings of the 2018 Conference on Human Information Interaction&Retrieval - CHIIR '18, 2018, Page(s) 2-11, ISBN 9781-450349253
Éditeur:
ACM Press
DOI:
10.1145/3176349.3176381
Auteurs:
Alessandro Adamou, Mathieu d'Aquin, Carlo Allocca, Enrico Motta
Publié dans:
Proceedings of the 13th International Conference on Semantic Systems - Semantics2017, 2017, Page(s) 112-119, ISBN 9781-450352963
Éditeur:
ACM Press
DOI:
10.1145/3132218.3132227
Auteurs:
Mathieu D'Aquin, Alessandro Adamou, Stefan Dietze, Besnik Fetahu, Ujwal Gadiraju, Ilire Hasani-Mavriqi, Peter Holtz, Joachim Kimmerle, Dominik Kowald, Elisabeth Lex, Susana Lopez Sola, Ricardo Maturana, Vedran Sabol, Pinelopi Troullinou, Eduardo Veas
Publié dans:
Proceedings of the 7th Workshop on Awareness and Reflection in Technology Enhanced Learning, 2017
Éditeur:
CEUR-WS
Auteurs:
Ujwal Gadiraju, Stefan Dietze
Publié dans:
Proceedings of the Seventh International Learning Analytics & Knowledge Conference on - LAK '17, 2017, Page(s) 105-114, ISBN 9781-450348706
Éditeur:
ACM Press
DOI:
10.1145/3027385.3027402
Auteurs:
Nicolas Tempelmeier, Elena Demidova, Stefan Dietze
Publié dans:
Proceedings of the 2018 World Wide Web Conference on World Wide Web - WWW '18, 2018, Page(s) 1297-1306, ISBN 9781-450356398
Éditeur:
ACM Press
DOI:
10.1145/3178876.3186028
Auteurs:
Mathieu d'Aquin, Dominik Kowald, Angela Fessl, Elisabeth Lex, Stefan Thalmann
Publié dans:
Companion of the The Web Conference 2018 on The Web Conference 2018 - WWW '18, 2018, Page(s) 439-440, ISBN 9781-450356404
Éditeur:
ACM Press
DOI:
10.1145/3184558.3186206
Auteurs:
Wassim Derguech, Syeda Sana e Zainab, Mathieu D'Aquin
Publié dans:
Proceedings of the 11th International Conference on Theory and Practice of Electronic Governance - ICEGOV '18, 2018, Page(s) 247-256, ISBN 9781-450354219
Éditeur:
ACM Press
DOI:
10.1145/3209415.3209498
Auteurs:
Analía Cicchinelli, Eduardo Veas, Abelardo Pardo, Viktoria Pammer-Schindler, Angela Fessl, Carla Barreiros, Stefanie Lindstädt
Publié dans:
Proceedings of the 8th International Conference on Learning Analytics and Knowledge - LAK '18, 2018, Page(s) 191-200, ISBN 9781-450364003
Éditeur:
ACM Press
DOI:
10.1145/3170358.3170381
Auteurs:
Dominik Kowald, Paul Seitlinger, Tobias Ley, Elisabeth Lex
Publié dans:
Companion of the The Web Conference 2018 on The Web Conference 2018 - WWW '18, 2018, Page(s) 1-2, ISBN 9781-450356404
Éditeur:
ACM Press
DOI:
10.1145/3184558.3186899
Auteurs:
Tomislav Duricic, Emanuel Lacic, Dominik Kowald, Elisabeth Lex
Publié dans:
Proceedings of the 12th ACM Conference on Recommender Systems - RecSys '18, 2018, Page(s) 446-450, ISBN 9781-450359016
Éditeur:
ACM Press
DOI:
10.1145/3240323.3240404
Auteurs:
Ran Yu, Ujwal Gadiraju, Stefan Dietze
Publié dans:
LILE 2018, 2018
Éditeur:
arXiv
Auteurs:
Anett Hoppe, Peter Holtz, Yvonne Kammerer, Ran Yu, Stefan Dietze, Ralph Ewerth
Publié dans:
LILE 2018, 2018
Éditeur:
TIB
Auteurs:
Seren Yenikent, Brett Buttliere, Besnik Fetahu, Joachim Kimmerle
Publié dans:
LILE 2018, 2018
Éditeur:
ResearchGate
Auteurs:
Lijun Lyu and Besnik Fetahu
Publié dans:
WikiWorkshop 2018, 2018
Éditeur:
ACM
Auteurs:
Christoph Hube and Besnik Fetahu
Publié dans:
WikiWorkshop 2018, 2018
Éditeur:
ACM
Auteurs:
Kowald, D., Lacic, E., Theiler, D., Lex, E.
Publié dans:
Social Interaction-Based Recommender Systems (SIR'2018) Workshop, 2018
Éditeur:
arXiv
Auteurs:
Emanuel Lacic, Dominik Kowald, Elisabeth Lex
Publié dans:
International Workshop on Entity Retrieval (EYRE'2018) Workshop, 2018
Éditeur:
arVix
Auteurs:
Seren Yenikent, Peter Holtz, Stefan Thalmann, Mathieu D’Aquin, Joachim Kimmerle
Publié dans:
Proceedings of the 1st Workshop on Analytics for Everyday Learning, 2018
Éditeur:
CEUR-WS
Auteurs:
Angela Fessl, Dominik Kowald, Susana López Sola, Ana Moreno, Ricardo Alonso Maturana, Stefan Thalmann
Publié dans:
Proceedings of the 1st Workshop on Analytics for Everyday Learning, 2018
Éditeur:
CEUR-WS
Auteurs:
Belgin Mutlu, Ilija Simic, Analia Cicchinelli, Vedran Sabol, Eduardo Veas
Publié dans:
Proceedings of the 1st Workshop on Analytics for Everyday Learning, 2018
Éditeur:
CEUR-WS
Auteurs:
Syeda Sana E. Zainab, Mathieu D'Aquin
Publié dans:
Proceedings of the 1st Workshop on Analytics for Everyday Learning, 2018
Éditeur:
CEUR-WS
Auteurs:
Simone Kopeinik, Dominik Kowald, Elisabeth Lex
Publié dans:
Which Algorithms Suit Which Learning Environments? A Comparative Study of Recommender Systems in TEL, Numéro 11th European Conference on Technology Enhanced Learning, EC-TEL 2016, Lyon, France, September 13-16, 2016, Proceedings, 2016, Page(s) 124-138, ISBN 978-3-319-45152-7
Éditeur:
Springer International Publishing
DOI:
10.1007/978-3-319-45153-4_10
Auteurs:
Darko Stanisavljevic, Ilire Hasani-Mavriqi, Elisabeth Lex, Markus Strohmaier, Denis Helic
Publié dans:
Complex Networks & Their Applications V. COMPLEX NETWORKS 2016 2016., Numéro Studies in Computational Intelligence, vol 693, 2017, Page(s) 379-390, ISBN 978-3-319-50900-6
Éditeur:
Springer International Publishing
DOI:
10.1007/978-3-319-50901-3_31
Auteurs:
Besnik Fetahu, Katja Markert, Wolfgang Nejdl, Avishek Anand
Publié dans:
Proceedings of the 25th ACM International on Conference on Information and Knowledge Management - CIKM '16, 2016, Page(s) 337-346, ISBN 9781-450340731
Éditeur:
ACM Press
DOI:
10.1145/2983323.2983808
Auteurs:
Patrick Siehndel and Ujwal Gadiraju, L3S Research Center, Leibniz Universität Hannover, Germany
Publié dans:
Published in the Workshop Proceedings of the EDBT/ICDT 2016 Joint Conference (March 15, 2016, Bordeaux, France) on CEUR-WS.org (ISSN 1613-0073), Numéro EDBT/ICDT Workshops 2016, 2016, Page(s) 1558, ISSN 1613-0073
Éditeur:
CEUR-WS.org
Auteurs:
Ujwal Gadiraju, Gianluca Demartini, Djellel Eddine Difallah, Michele Catasta
Publié dans:
Proceedings of the 8th ACM Conference on Web Science - WebSci '16, 2016, Page(s) 11-11, ISBN 9781-450342087
Éditeur:
ACM Press
DOI:
10.1145/2908131.2908140
Auteurs:
Ujwal Gadiraju, Patrick Siehndel, Stefan Dietze
Publié dans:
Proceedings of the 8th ACM Conference on Web Science - WebSci '16, 2016, Page(s) 323-324, ISBN 9781-450342087
Éditeur:
ACM Press
DOI:
10.1145/2908131.2908209
Auteurs:
Andrea Ceroni, Ujwal Gadiraju, Jan Matschke, Simon Wingert, Marco Fisichella
Publié dans:
Proceedings of the 39th International ACM SIGIR conference on Research and Development in Information Retrieval - SIGIR '16, 2016, Page(s) 1157-1160, ISBN 9781-450340694
Éditeur:
ACM Press
DOI:
10.1145/2911451.2911452
Auteurs:
Ran Yu, Ujwal Gadiraju, Besnik Fetahu, Stefan Dietze
Publié dans:
Web Information Systems Engineering – WISE 2015. Lecture Notes in Computer Science, Numéro vol 9418, 2015, Page(s) 554-569, ISBN 978-3-319-26189-8
Éditeur:
Springer International Publishing
DOI:
10.1007/978-3-319-26190-4_37
Auteurs:
Ran Yu, Besnik Fetahu, Ujwal Gadiraju and Stefan Dietze
Publié dans:
Proceedings of the ISWC 2016 Posters & Demonstrations Track co-located with 15th International Seman, Numéro Vol-1690, 2016, Page(s) paper70
Éditeur:
ceur-ws.org
Auteurs:
Ran Yu, Ujwal Gadiraju, Xiaofei Zhu, Besnik Fetahu, Stefan Dietze
Publié dans:
The Semantic Web. ESWC 2016. Lecture Notes in Computer Science, Numéro vol 9989, 2016, Page(s) 69-73
Éditeur:
Springer International Publishing
DOI:
10.1007/978-3-319-47602-5_15
Auteurs:
Davide Taibi, Stefan Dietze
Publié dans:
Proceedings of the 25th International Conference Companion on World Wide Web - WWW '16 Companion, 2016, Page(s) 513-517, ISBN 9781-450341448
Éditeur:
ACM Press
DOI:
10.1145/2872518.2890464
Auteurs:
Mohamed Ben Ellefi, Zohra Bellahsene, Stefan Dietze, Konstantin Todorov
Publié dans:
eb Engineering. ICWE 2016. Lecture Notes in Computer Science, Numéro vol 9671, 2016, Page(s) 262-279, ISBN 978-3-319-38790-1
Éditeur:
Springer International Publishing
DOI:
10.1007/978-3-319-38791-8_15
Auteurs:
Simone Kopeinik, Elisabeth Lex, Paul Seitlinger, Dietrich Albert, Tobias Ley
Publié dans:
Proceedings of the Seventh International Learning Analytics & Knowledge Conference on - LAK '17, 2017, Page(s) 409-418, ISBN 9781-450348706
Éditeur:
ACM Press
DOI:
10.1145/3027385.3027421
Auteurs:
Dominik Kowald, Simone Kopeinik, Elisabeth Lex
Publié dans:
Adjunct Publication of the 25th Conference on User Modeling, Adaptation and Personalization - UMAP '17, 2017, Page(s) 23-28, ISBN 9781-450350679
Éditeur:
ACM Press
DOI:
10.1145/3099023.3099069
Auteurs:
Dominik Kowald, Subhash Chandra Pujari, Elisabeth Lex
Publié dans:
Proceedings of the 26th International Conference on World Wide Web - WWW '17, 2017, Page(s) 1401-1410, ISBN 9781-450349130
Éditeur:
ACM Press
DOI:
10.1145/3038912.3052605
Auteurs:
Stefan Dietze, Davide Taibi, Ran Yu, Phil Barker, Mathieu d'Aquin
Publié dans:
Proceeding WWW '17 Companion Proceedings of the 26th International Conference on World Wide Web Companion, 2017, Page(s) Pages 283-292, ISBN 978-1-4503-4914-7
Éditeur:
International World Wide Web Conferences Steering Committee Republic
DOI:
10.1145/3041021.3054160
Auteurs:
Shuangyan Liu, Mathieu d’Aquin, Enrico Motta
Publié dans:
Language, Data, and Knowledge. LDK 2017. Lecture Notes in Computer Science, Numéro vol 10318, 2017, Page(s) 343-357, ISBN 978-3-319-59887-1
Éditeur:
Springer International Publishing
DOI:
10.1007/978-3-319-59888-8_29
Auteurs:
Shuangyan Liu, Mathieu d'Aquin
Publié dans:
2017 IEEE Global Engineering Education Conference (EDUCON), 2017, Page(s) 1373-1377, ISBN 978-1-5090-5467-1
Éditeur:
IEEE
DOI:
10.1109/EDUCON.2017.7943026
Auteurs:
Mohamed Ben Ellefi, Zohra Bellahsene, Stefan Dietze, Konstantin Todorov
Publié dans:
he Semantic Web. Latest Advances and New Domains. ESWC 2016. Lecture Notes in Computer Science, Numéro vol 9678, 2016, Page(s) 36-51, ISBN 978-3-319-34128-6
Éditeur:
Springer International Publishing
DOI:
10.1007/978-3-319-34129-3_3
Auteurs:
Carlo Allocca, Alessandro Adamou, Mathieu d’Aquin, Enrico Motta
Publié dans:
The Semantic Web. ESWC 2016. Lecture Notes in Computer Science, Numéro vol 9989, 2016, Page(s) 128-133, ISBN 978-3-319-47601-8
Éditeur:
Springer International Publishing
DOI:
10.1007/978-3-319-47602-5_26
Auteurs:
Ujwal Gadiraju, Besnik Fetahu, Ricardo Kawase, Patrick Siehndel, Stefan Dietze
Publié dans:
ACM Transactions on Computer-Human Interaction, Numéro 24/4, 2017, Page(s) 1-26, ISSN 1073-0516
Éditeur:
Association for Computing Machinary, Inc.
DOI:
10.1145/3119930
Auteurs:
Seren Yenikent, Peter Holtz, Joachim Kimmerle
Publié dans:
Frontiers in Psychology, Numéro 8, 2017, ISSN 1664-1078
Éditeur:
Frontiers Research Foundation
DOI:
10.3389/fpsyg.2017.01960
Auteurs:
Ujwal Gadiraju, Alessandro Checco, Neha Gupta, Gianluca Demartini
Publié dans:
Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies, Numéro 1/3, 2017, Page(s) 1-29, ISSN 2474-9567
Éditeur:
ACM
DOI:
10.1145/3130914
Auteurs:
Belgin Mutlu, Eduardo Veas, Christoph Trattner
Publié dans:
ACM Transactions on Interactive Intelligent Systems, Numéro 6/4, 2016, Page(s) 1-39, ISSN 2160-6455
Éditeur:
Association for Computing Machinery (ACM)
DOI:
10.1145/2983923
Auteurs:
Ran Yu
Ujwal Gadiraju
Besnik Fetahu
Oliver Lehmberg
Dominique Ritze
Stefan Dietze
Publié dans:
Semantic Web Journal, 2017, ISSN 1570-0844
Éditeur:
IOS Press
Auteurs:
Peter Holtz, Joachim Kimmerle, Ulrike Cress
Publié dans:
International Journal of Computer-Supported Collaborative Learning, Numéro 13/4, 2018, Page(s) 439-456, ISSN 1556-1607
Éditeur:
Springer Verlag
DOI:
10.1007/s11412-018-9285-y
Auteurs:
Ilire Hasani-Mavriqi, Dominik Kowald, Denis Helic, Elisabeth Lex
Publié dans:
Computational Social Networks, Numéro 5/1, 2018, ISSN 2197-4314
Éditeur:
SpringerOpen
DOI:
10.1186/s40649-018-0050-1
Auteurs:
Daniel Geschke, Jan Lorenz, Peter Holtz
Publié dans:
British Journal of Social Psychology, Numéro 58/1, 2019, Page(s) 129-149, ISSN 0144-6665
Éditeur:
Wiley-Blackwell
DOI:
10.1111/bjso.12286
Auteurs:
Peter Holtz, Besnik Fetahu, Joachim Kimmerle
Publié dans:
Journal of Medical Internet Research, Numéro 20/5, 2018, Page(s) e171, ISSN 1438-8871
Éditeur:
Journal of medical Internet Research
DOI:
10.2196/jmir.9683
Auteurs:
Ilire Hasani-Mavriqi, Florian Geigl, Subhash Chandra Pujari, Elisabeth Lex, Denis Helic
Publié dans:
Social Network Analysis and Mining, Numéro 6/1, 2016, Page(s) Sudies in Computational Intelligence, ISSN 1869-5450
Éditeur:
Springer
DOI:
10.1007/s13278-016-0389-y
Auteurs:
Mathieu d'Aquin, Enrico Motta
Publié dans:
Synthesis Lectures on the Semantic Web: Theory and Technology, Numéro 6/1, 2016, Page(s) 1-88, ISSN 2160-4711
Éditeur:
Morgan & Claypool
DOI:
10.2200/S00708ED1V01Y201603WBE014
Auteurs:
Peter HOLTZ, Leibniz-Institut für Wissensmedien IWM (Knowledge Media Research Center) – Knowledge, Construction Lab, Tübingen, Germany.
Publié dans:
Papers on Social Representations, Numéro Volume 25, Numéro 1, 2016, Page(s) 13.1-13.24, ISSN 1021-5573
Éditeur:
London School of Economics and Political Science
Auteurs:
Jens Jirschitzka, Joachim Kimmerle, Iassen Halatchliyski, Julia Hancke, Detmar Meurers, Ulrike Cress
Publié dans:
PLOS ONE, Numéro 12/6, 2017, Page(s) e0178985, ISSN 1932-6203
Éditeur:
Public Library of Science
DOI:
10.1371/journal.pone.0178985
Auteurs:
Simone Kopeinik
Publié dans:
Journal of Web Science, Numéro 2/1, 2016, Page(s) 45-61, ISSN 2332-4031
Éditeur:
Now Publishers
DOI:
10.1561/106.00000007
Auteurs:
Stefan Dietze, Davide Taibi, Mathieu d’Aquin
Publié dans:
Semantic Web, Numéro 8/3, 2016, Page(s) 395-403, ISSN 1570-0844
Éditeur:
IOS Press
DOI:
10.3233/SW-150201
Auteurs:
Ujwal Gadiraju
Publié dans:
ACM SIGWEB Newsletter, Numéro Summer, 2016, Page(s) 1-1, ISSN 1931-1745
Éditeur:
ACM
DOI:
10.1145/2956573.2956576
Auteurs:
Ujwal Gadiraju, Ricardo Kawase
Publié dans:
Web Engineering, Numéro 10360, 2017, Page(s) 190-205, ISBN 978-3-319-60130-4
Éditeur:
Springer International Publishing
DOI:
10.1007/978-3-319-60131-1_11
Auteurs:
Mathieu d’Aquin
Publié dans:
Lecture Notes in Computer Science book series, Numéro LNCS, volume 9500, 2016, Page(s) 3-15, ISBN 978-3-319-30492-2
Éditeur:
Springer International Publishing
DOI:
10.1007/978-3-319-30493-9_1
Auteurs:
Davide Taibi, Giovanni Fulantelli, Stefan Dietze, Besnik Fetahu
Publié dans:
Open Data for Education. Lecture Notes in Computer Science, Numéro vol 9500, 2016, Page(s) 16-37, ISSN 0302-9743
Éditeur:
Springer International Publishing
DOI:
10.1007/978-3-319-30493-9_2
Auteurs:
Dmitry Mouromtsev, Mathieu d’Aquin
Publié dans:
Lecture Notes in Computer Science, 2016, ISBN 978-3-319-30493-9
Éditeur:
Springer International Publishing
DOI:
10.1007/978-3-319-30493-9
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