Deliverables Documents, reports (23) Detection and Enrichment of Learning Patterns/Notions v.1 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 data This 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 complexity This 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 collected Report 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 plan Based 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 activities Description 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 & collaboration This 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-organisation This 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 barriers This 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 meaning This 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 evaluation This 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 activities First 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 activities Dissemination 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 environments This 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.2 This 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 tools This 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 environments This 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 report Final version of the data management report Data Analytics & Entity Linking for Learning Analytics This 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 Communities This 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 methods Description 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 activities Final report on dissemination activities based on the communication and dissemination targets Websites, patent fillings, videos etc. (2) AFEL public online community and external communication tools 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 offer The AFEL tools integrated into the GNOSS platform will be included in the web of GNOSS products as part of its commercial offering Demonstrators, pilots, prototypes (9) AFEL-based API, applications and solutions for online social platforms 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 3 This 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 2 This 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 evaluation This deliverable presents the second and completed version of the data extraction and management infrastructure of the project Ontological models of learning activities An 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 evaluations This 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 model Data 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 1 The 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 platforms Generic 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 Other (2) Overcoming the Imbalance Between Tag Recommendation Approaches and Real-World Folksonomy Structures with Cognitive-Inspired Algorithms Author(s): Dominik Kowald, Elisabeth Lex Published in: 2017 Publisher: arXiv Fine Grained Citation Span for References in Wikipedia Author(s): Besnik Fetahu, Katja Markert, Avishek Anand Published in: 2017 Publisher: arXiv Conference proceedings (46) Tags, Titles or Q&As? - Choosing Content Descriptors for Visual Recommender Systems Author(s): Belgin Mutlu, Eduardo Veas, Christoph Trattner Published in: Proceedings of the 28th ACM Conference on Hypertext and Social Media - HT '17, 2017, Page(s) 265-274, ISBN 9781-450347082 Publisher: ACM Press DOI: 10.1145/3078714.3078741 Predicting User Knowledge Gain in Informational Search Sessions Author(s): Ran Yu, Ujwal Gadiraju, Peter Holtz, Markus Rokicki, Philipp Kemkes, Stefan Dietze Published in: The 41st International ACM SIGIR Conference on Research & Development in Information Retrieval - SIGIR '18, 2018, Page(s) 75-84, ISBN 9781-450356572 Publisher: ACM Press DOI: 10.1145/3209978.3210064 Clarity is a Worthwhile Quality - On the Role of Task Clarity in Microtask Crowdsourcing Author(s): Ujwal Gadiraju, Jie Yang, Alessandro Bozzon Published in: Proceedings of the 28th ACM Conference on Hypertext and Social Media - HT '17, 2017, Page(s) 5-14, ISBN 9781-450347082 Publisher: ACM Press DOI: 10.1145/3078714.3078715 can bots be better learners than humans? Author(s): Wassim Derguech, Mathieu d’Aquin Published in: Proceedings of the Re-coding Black Mirror 2017 Workshop, 2017 Publisher: CEUR-WS FuseM: Query-Centric Data Fusion on Structured Web Markup Author(s): Ran Yu, Ujwal Gadiraju, Besnik Fetahu, Stefan Dietze Published in: 2017 IEEE 33rd International Conference on Data Engineering (ICDE), 2017, Page(s) 179-182, ISBN 978-1-5090-6543-1 Publisher: IEEE DOI: 10.1109/icde.2017.69 Analyzing Knowledge Gain of Users in Informational Search Sessions on the Web Author(s): Ujwal Gadiraju, Ran Yu, Stefan Dietze, Peter Holtz Published in: Proceedings of the 2018 Conference on Human Information Interaction&Retrieval - CHIIR '18, 2018, Page(s) 2-11, ISBN 9781-450349253 Publisher: ACM Press DOI: 10.1145/3176349.3176381 Supporting virtual integration of Linked Data with just-in-time query recompilation Author(s): Alessandro Adamou, Mathieu d'Aquin, Carlo Allocca, Enrico Motta Published in: Proceedings of the 13th International Conference on Semantic Systems - Semantics2017, 2017, Page(s) 112-119, ISBN 9781-450352963 Publisher: ACM Press DOI: 10.1145/3132218.3132227 AFEL: Towards Measuring Online Activities Contributions to Self-directed Learning Author(s): 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 Published in: Proceedings of the 7th Workshop on Awareness and Reflection in Technology Enhanced Learning, 2017 Publisher: CEUR-WS Improving learning through achievement priming in crowdsourced information finding microtasks Author(s): Ujwal Gadiraju, Stefan Dietze Published in: Proceedings of the Seventh International Learning Analytics & Knowledge Conference on - LAK '17, 2017, Page(s) 105-114, ISBN 9781-450348706 Publisher: ACM Press DOI: 10.1145/3027385.3027402 Inferring Missing Categorical Information in Noisy and Sparse Web Markup Author(s): Nicolas Tempelmeier, Elena Demidova, Stefan Dietze Published in: Proceedings of the 2018 World Wide Web Conference on World Wide Web - WWW '18, 2018, Page(s) 1297-1306, ISBN 9781-450356398 Publisher: ACM Press DOI: 10.1145/3178876.3186028 AFEL - Analytics for Everyday Learning Author(s): Mathieu d'Aquin, Dominik Kowald, Angela Fessl, Elisabeth Lex, Stefan Thalmann Published in: Companion of the The Web Conference 2018 on The Web Conference 2018 - WWW '18, 2018, Page(s) 439-440, ISBN 9781-450356404 Publisher: ACM Press DOI: 10.1145/3184558.3186206 Assessing the Readability of Policy Documents - The Case of Terms of Use of Online Services Author(s): Wassim Derguech, Syeda Sana e Zainab, Mathieu D'Aquin Published in: Proceedings of the 11th International Conference on Theory and Practice of Electronic Governance - ICEGOV '18, 2018, Page(s) 247-256, ISBN 9781-450354219 Publisher: ACM Press DOI: 10.1145/3209415.3209498 Finding traces of self-regulated learning in activity streams Author(s): Analía Cicchinelli, Eduardo Veas, Abelardo Pardo, Viktoria Pammer-Schindler, Angela Fessl, Carla Barreiros, Stefanie Lindstädt Published in: Proceedings of the 8th International Conference on Learning Analytics and Knowledge - LAK '18, 2018, Page(s) 191-200, ISBN 9781-450364003 Publisher: ACM Press DOI: 10.1145/3170358.3170381 The Impact of Semantic Context Cues on the User Acceptance of Tag Recommendations - An Online Study Author(s): Dominik Kowald, Paul Seitlinger, Tobias Ley, Elisabeth Lex Published in: Companion of the The Web Conference 2018 on The Web Conference 2018 - WWW '18, 2018, Page(s) 1-2, ISBN 9781-450356404 Publisher: ACM Press DOI: 10.1145/3184558.3186899 Trust-based collaborative filtering - tackling the cold start problem using regular equivalence Author(s): Tomislav Duricic, Emanuel Lacic, Dominik Kowald, Elisabeth Lex Published in: Proceedings of the 12th ACM Conference on Recommender Systems - RecSys '18, 2018, Page(s) 446-450, ISBN 9781-450359016 Publisher: ACM Press DOI: 10.1145/3240323.3240404 Detecting, Understanding and Supporting Everyday Learning in Web Search Author(s): Ran Yu, Ujwal Gadiraju, Stefan Dietze Published in: LILE 2018, 2018 Publisher: arXiv Current Challenges for Studying Search as Learning Processes Author(s): Anett Hoppe, Peter Holtz, Yvonne Kammerer, Ran Yu, Stefan Dietze, Ralph Ewerth Published in: LILE 2018, 2018 Publisher: TIB Wikipedia article measures in relation to content characteristics of lead sections. Author(s): Seren Yenikent, Brett Buttliere, Besnik Fetahu, Joachim Kimmerle Published in: LILE 2018, 2018 Publisher: ResearchGate Real-time Event-based News Suggestion for Wikipedia Pages from News Streams. Author(s): Lijun Lyu and Besnik Fetahu Published in: WikiWorkshop 2018, 2018 Publisher: ACM Detecting Biased Statements in Wikipedia. Author(s): Christoph Hube and Besnik Fetahu Published in: WikiWorkshop 2018, 2018 Publisher: ACM AFEL-REC: A Recommender System for Providing Learning Resource Recommendations in Social Learning Environments Author(s): Kowald, D., Lacic, E., Theiler, D., Lex, E. Published in: Social Interaction-Based Recommender Systems (SIR'2018) Workshop, 2018 Publisher: arXiv Neighborhood Troubles: On the Value of User Pre-Filtering To Speed Up and Enhance Recommendations Author(s): Emanuel Lacic, Dominik Kowald, Elisabeth Lex Published in: International Workshop on Entity Retrieval (EYRE'2018) Workshop, 2018 Publisher: arVix Evaluating the AFEL learning tools: Didactalia users’ experiences with personalized recommendations and interactive visualizations. Author(s): Seren Yenikent, Peter Holtz, Stefan Thalmann, Mathieu D’Aquin, Joachim Kimmerle Published in: Proceedings of the 1st Workshop on Analytics for Everyday Learning, 2018 Publisher: CEUR-WS Analytics for Everyday Learning from two Perspectives: Knowledge Workers and Teachers. Author(s): Angela Fessl, Dominik Kowald, Susana López Sola, Ana Moreno, Ricardo Alonso Maturana, Stefan Thalmann Published in: Proceedings of the 1st Workshop on Analytics for Everyday Learning, 2018 Publisher: CEUR-WS Towards a Learning Dashboard for Community Visualization Author(s): Belgin Mutlu, Ilija Simic, Analia Cicchinelli, Vedran Sabol, Eduardo Veas Published in: Proceedings of the 1st Workshop on Analytics for Everyday Learning, 2018 Publisher: CEUR-WS Detection of Online Learning Activity Scopes Author(s): Syeda Sana E. Zainab, Mathieu D'Aquin Published in: Proceedings of the 1st Workshop on Analytics for Everyday Learning, 2018 Publisher: CEUR-WS Which Algorithms Suit Which Learning Environments? A Comparative Study of Recommender Systems in TEL Author(s): Simone Kopeinik, Dominik Kowald, Elisabeth Lex Published in: Which Algorithms Suit Which Learning Environments? A Comparative Study of Recommender Systems in TEL, Issue 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 Publisher: Springer International Publishing DOI: 10.1007/978-3-319-45153-4_10 Semantic Stability in Wikipedia Author(s): Darko Stanisavljevic, Ilire Hasani-Mavriqi, Elisabeth Lex, Markus Strohmaier, Denis Helic Published in: Complex Networks & Their Applications V. COMPLEX NETWORKS 2016 2016., Issue Studies in Computational Intelligence, vol 693, 2017, Page(s) 379-390, ISBN 978-3-319-50900-6 Publisher: Springer International Publishing DOI: 10.1007/978-3-319-50901-3_31 Finding News Citations for Wikipedia Author(s): Besnik Fetahu, Katja Markert, Wolfgang Nejdl, Avishek Anand Published in: Proceedings of the 25th ACM International on Conference on Information and Knowledge Management - CIKM '16, 2016, Page(s) 337-346, ISBN 9781-450340731 Publisher: ACM Press DOI: 10.1145/2983323.2983808 Unlock the Stock: User Topic Modeling for Stock Market Analysis Author(s): Patrick Siehndel and Ujwal Gadiraju, L3S Research Center, Leibniz Universität Hannover, Germany Published in: Published in the Workshop Proceedings of the EDBT/ICDT 2016 Joint Conference (March 15, 2016, Bordeaux, France) on CEUR-WS.org (ISSN 1613-0073), Issue EDBT/ICDT Workshops 2016, 2016, Page(s) 1558, ISSN 1613-0073 Publisher: CEUR-WS.org It's getting crowded! - how to use crowdsourcing effectively for web science research Author(s): Ujwal Gadiraju, Gianluca Demartini, Djellel Eddine Difallah, Michele Catasta Published in: Proceedings of the 8th ACM Conference on Web Science - WebSci '16, 2016, Page(s) 11-11, ISBN 9781-450342087 Publisher: ACM Press DOI: 10.1145/2908131.2908140 Estimating domain specificity for effective crowdsourcing of link prediction and schema mapping Author(s): Ujwal Gadiraju, Patrick Siehndel, Stefan Dietze Published in: Proceedings of the 8th ACM Conference on Web Science - WebSci '16, 2016, Page(s) 323-324, ISBN 9781-450342087 Publisher: ACM Press DOI: 10.1145/2908131.2908209 Where the Event Lies - Predicting Event Occurrence in Textual Documents Author(s): Andrea Ceroni, Ujwal Gadiraju, Jan Matschke, Simon Wingert, Marco Fisichella Published in: 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 Publisher: ACM Press DOI: 10.1145/2911451.2911452 Adaptive Focused Crawling of Linked Data Author(s): Ran Yu, Ujwal Gadiraju, Besnik Fetahu, Stefan Dietze Published in: Web Information Systems Engineering – WISE 2015. Lecture Notes in Computer Science, Issue vol 9418, 2015, Page(s) 554-569, ISBN 978-3-319-26189-8 Publisher: Springer International Publishing DOI: 10.1007/978-3-319-26190-4_37 A Survey on Challenges for Entity Retrieval in Web Markup Data Author(s): Ran Yu, Besnik Fetahu, Ujwal Gadiraju and Stefan Dietze Published in: Proceedings of the ISWC 2016 Posters & Demonstrations Track co-located with 15th International Seman, Issue Vol-1690, 2016, Page(s) paper70 Publisher: ceur-ws.org Towards Entity Summarisation on Structured Web Markup Author(s): Ran Yu, Ujwal Gadiraju, Xiaofei Zhu, Besnik Fetahu, Stefan Dietze Published in: The Semantic Web. ESWC 2016. Lecture Notes in Computer Science, Issue vol 9989, 2016, Page(s) 69-73 Publisher: Springer International Publishing DOI: 10.1007/978-3-319-47602-5_15 Towards Embedded Markup of Learning Resources on the Web - An Initial Quantitative Analysis of LRMI Terms Usage Author(s): Davide Taibi, Stefan Dietze Published in: Proceedings of the 25th International Conference Companion on World Wide Web - WWW '16 Companion, 2016, Page(s) 513-517, ISBN 9781-450341448 Publisher: ACM Press DOI: 10.1145/2872518.2890464 Beyond Established Knowledge Graphs-Recommending Web Datasets for Data Linking Author(s): Mohamed Ben Ellefi, Zohra Bellahsene, Stefan Dietze, Konstantin Todorov Published in: eb Engineering. ICWE 2016. Lecture Notes in Computer Science, Issue vol 9671, 2016, Page(s) 262-279, ISBN 978-3-319-38790-1 Publisher: Springer International Publishing DOI: 10.1007/978-3-319-38791-8_15 Supporting collaborative learning with tag recommendations - a real-world study in an inquiry-based classroom project Author(s): Simone Kopeinik, Elisabeth Lex, Paul Seitlinger, Dietrich Albert, Tobias Ley Published in: Proceedings of the Seventh International Learning Analytics & Knowledge Conference on - LAK '17, 2017, Page(s) 409-418, ISBN 9781-450348706 Publisher: ACM Press DOI: 10.1145/3027385.3027421 The TagRec Framework as a Toolkit for the Development of Tag-Based Recommender Systems Author(s): Dominik Kowald, Simone Kopeinik, Elisabeth Lex Published in: Adjunct Publication of the 25th Conference on User Modeling, Adaptation and Personalization - UMAP '17, 2017, Page(s) 23-28, ISBN 9781-450350679 Publisher: ACM Press DOI: 10.1145/3099023.3099069 Temporal Effects on Hashtag Reuse in Twitter - A Cognitive-Inspired Hashtag Recommendation Approach Author(s): Dominik Kowald, Subhash Chandra Pujari, Elisabeth Lex Published in: Proceedings of the 26th International Conference on World Wide Web - WWW '17, 2017, Page(s) 1401-1410, ISBN 9781-450349130 Publisher: ACM Press DOI: 10.1145/3038912.3052605 Analysing and Improving Embedded Markup of Learning Resources on the Web Author(s): Stefan Dietze, Davide Taibi, Ran Yu, Phil Barker, Mathieu d'Aquin Published in: 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 Publisher: International World Wide Web Conferences Steering Committee Republic DOI: 10.1145/3041021.3054160 Measuring Accuracy of Triples in Knowledge Graphs Author(s): Shuangyan Liu, Mathieu d’Aquin, Enrico Motta Published in: Language, Data, and Knowledge. LDK 2017. Lecture Notes in Computer Science, Issue vol 10318, 2017, Page(s) 343-357, ISBN 978-3-319-59887-1 Publisher: Springer International Publishing DOI: 10.1007/978-3-319-59888-8_29 Unsupervised learning for understanding student achievement in a distance learning setting Author(s): Shuangyan Liu, Mathieu d'Aquin Published in: 2017 IEEE Global Engineering Education Conference (EDUCON), 2017, Page(s) 1373-1377, ISBN 978-1-5090-5467-1 Publisher: IEEE DOI: 10.1109/EDUCON.2017.7943026 Dataset Recommendation for Data Linking: An Intensional Approach Author(s): Mohamed Ben Ellefi, Zohra Bellahsene, Stefan Dietze, Konstantin Todorov Published in: he Semantic Web. Latest Advances and New Domains. ESWC 2016. Lecture Notes in Computer Science, Issue vol 9678, 2016, Page(s) 36-51, ISBN 978-3-319-34128-6 Publisher: Springer International Publishing DOI: 10.1007/978-3-319-34129-3_3 SPARQL Query Recommendations by Example Author(s): Carlo Allocca, Alessandro Adamou, Mathieu d’Aquin, Enrico Motta Published in: The Semantic Web. ESWC 2016. Lecture Notes in Computer Science, Issue vol 9989, 2016, Page(s) 128-133, ISBN 978-3-319-47601-8 Publisher: Springer International Publishing DOI: 10.1007/978-3-319-47602-5_26 Peer reviewed articles (16) Using Worker Self-Assessments for Competence-Based Pre-Selection in Crowdsourcing Microtasks Author(s): Ujwal Gadiraju, Besnik Fetahu, Ricardo Kawase, Patrick Siehndel, Stefan Dietze Published in: ACM Transactions on Computer-Human Interaction, Issue 24/4, 2017, Page(s) 1-26, ISSN 1073-0516 Publisher: Association for Computing Machinary, Inc. DOI: 10.1145/3119930 The Impact of Topic Characteristics and Threat on Willingness to Engage with Wikipedia Articles: Insights from Laboratory Experiments Author(s): Seren Yenikent, Peter Holtz, Joachim Kimmerle Published in: Frontiers in Psychology, Issue 8, 2017, ISSN 1664-1078 Publisher: Frontiers Research Foundation DOI: 10.3389/fpsyg.2017.01960 Modus Operandi of Crowd Workers Author(s): Ujwal Gadiraju, Alessandro Checco, Neha Gupta, Gianluca Demartini Published in: Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies, Issue 1/3, 2017, Page(s) 1-29, ISSN 2474-9567 Publisher: ACM DOI: 10.1145/3130914 VizRec Author(s): Belgin Mutlu, Eduardo Veas, Christoph Trattner Published in: ACM Transactions on Interactive Intelligent Systems, Issue 6/4, 2016, Page(s) 1-39, ISSN 2160-6455 Publisher: Association for Computing Machinery (ACM) DOI: 10.1145/2983923 KnowMore - Knowledge Base Augmentation with Structured Web Markup Author(s): Ran Yu Ujwal Gadiraju Besnik Fetahu Oliver Lehmberg Dominique Ritze Stefan Dietze Published in: Semantic Web Journal, 2017, ISSN 1570-0844 Publisher: IOS Press Using big data techniques for measuring productive friction in mass collaboration online environments Author(s): Peter Holtz, Joachim Kimmerle, Ulrike Cress Published in: International Journal of Computer-Supported Collaborative Learning, Issue 13/4, 2018, Page(s) 439-456, ISSN 1556-1607 Publisher: Springer Verlag DOI: 10.1007/s11412-018-9285-y Consensus dynamics in online collaboration systems Author(s): Ilire Hasani-Mavriqi, Dominik Kowald, Denis Helic, Elisabeth Lex Published in: Computational Social Networks, Issue 5/1, 2018, ISSN 2197-4314 Publisher: SpringerOpen DOI: 10.1186/s40649-018-0050-1 The triple-filter bubble: Using agent-based modelling to test a meta-theoretical framework for the emergence of filter bubbles and echo chambers Author(s): Daniel Geschke, Jan Lorenz, Peter Holtz Published in: British Journal of Social Psychology, Issue 58/1, 2019, Page(s) 129-149, ISSN 0144-6665 Publisher: Wiley-Blackwell DOI: 10.1111/bjso.12286 Effects of Contributor Experience on the Quality of Health-Related Wikipedia Articles Author(s): Peter Holtz, Besnik Fetahu, Joachim Kimmerle Published in: Journal of Medical Internet Research, Issue 20/5, 2018, Page(s) e171, ISSN 1438-8871 Publisher: Journal of medical Internet Research DOI: 10.2196/jmir.9683 The influence of social status and network structure on consensus building in collaboration networks Author(s): Ilire Hasani-Mavriqi, Florian Geigl, Subhash Chandra Pujari, Elisabeth Lex, Denis Helic Published in: Social Network Analysis and Mining, Issue 6/1, 2016, Page(s) Sudies in Computational Intelligence, ISSN 1869-5450 Publisher: Springer DOI: 10.1007/s13278-016-0389-y The Epistemology of Intelligent Semantic Web Systems Author(s): Mathieu d'Aquin, Enrico Motta Published in: Synthesis Lectures on the Semantic Web: Theory and Technology, Issue 6/1, 2016, Page(s) 1-88, ISSN 2160-4711 Publisher: Morgan & Claypool DOI: 10.2200/S00708ED1V01Y201603WBE014 How Popper’s ‘Three Worlds Theory’ Resembles Moscovici’s ‘Social Representations Theory’ But Why Moscovici’s Social Psychology of Science Still Differs From Popper’s Critical Approach Author(s): Peter HOLTZ, Leibniz-Institut für Wissensmedien IWM (Knowledge Media Research Center) – Knowledge, Construction Lab, Tübingen, Germany. Published in: Papers on Social Representations, Issue Volume 25, Issue 1, 2016, Page(s) 13.1-13.24, ISSN 1021-5573 Publisher: London School of Economics and Political Science A productive clash of perspectives? The interplay between articles’ and authors’ perspectives and their impact on Wikipedia edits in a controversial domain Author(s): Jens Jirschitzka, Joachim Kimmerle, Iassen Halatchliyski, Julia Hancke, Detmar Meurers, Ulrike Cress Published in: PLOS ONE, Issue 12/6, 2017, Page(s) e0178985, ISSN 1932-6203 Publisher: Public Library of Science DOI: 10.1371/journal.pone.0178985 Improving Collaborative Filtering Using a Cognitive Model of Human Category Learning Author(s): Simone Kopeinik Published in: Journal of Web Science, Issue 2/1, 2016, Page(s) 45-61, ISSN 2332-4031 Publisher: Now Publishers DOI: 10.1561/106.00000007 Facilitating Scientometrics in Learning Analytics and Educational Data Mining – the LAK Dataset Author(s): Stefan Dietze, Davide Taibi, Mathieu d’Aquin Published in: Semantic Web, Issue 8/3, 2016, Page(s) 395-403, ISSN 1570-0844 Publisher: IOS Press DOI: 10.3233/SW-150201 """Make hay while the crowd shines: towards effective crowdsourcing on the web"" by Ujwal Gadiraju, with Prateek Jain as coordinator" Author(s): Ujwal Gadiraju Published in: ACM SIGWEB Newsletter, Issue Summer, 2016, Page(s) 1-1, ISSN 1931-1745 Publisher: ACM DOI: 10.1145/2956573.2956576 Book chapters (3) Improving Reliability of Crowdsourced Results by Detecting Crowd Workers with Multiple Identities Author(s): Ujwal Gadiraju, Ricardo Kawase Published in: Web Engineering, Issue 10360, 2017, Page(s) 190-205, ISBN 978-3-319-60130-4 Publisher: Springer International Publishing DOI: 10.1007/978-3-319-60131-1_11 On the Use of Linked Open Data in Education: Current and Future Practices Author(s): Mathieu d’Aquin Published in: Lecture Notes in Computer Science book series, Issue LNCS, volume 9500, 2016, Page(s) 3-15, ISBN 978-3-319-30492-2 Publisher: Springer International Publishing DOI: 10.1007/978-3-319-30493-9_1 Educational Linked Data on the Web - Exploring and Analysing the Scope and Coverage Author(s): Davide Taibi, Giovanni Fulantelli, Stefan Dietze, Besnik Fetahu Published in: Open Data for Education. Lecture Notes in Computer Science, Issue vol 9500, 2016, Page(s) 16-37, ISSN 0302-9743 Publisher: Springer International Publishing DOI: 10.1007/978-3-319-30493-9_2 Monographic books (1) Open Data for Education Author(s): Dmitry Mouromtsev, Mathieu d’Aquin Published in: Lecture Notes in Computer Science, 2016, ISBN 978-3-319-30493-9 Publisher: Springer International Publishing DOI: 10.1007/978-3-319-30493-9 Searching for OpenAIRE data... There was an error trying to search data from OpenAIRE No results available
