Publications from the AFEL Team

Jirschitzka J., Kimmerle J., Halatchliyski I., Hancke J., Meurers D., Cress U. (2017) A productive clash of perspectives? The interplay between articles’ and authors’ perspectives and their impact on Wikipedia edits in a controversial domain. PLoS ONE 12(6): e0178985.

Kowald, D., Kopeinik, S., & Lex, E. (2017)  The TagRec Framework as a Toolkit for the Development of Tag-Based Recommender Systems. In Proceedings of the Adjunct Publication of the 25th ACM International Conference on User Modeling, Adapation and Personalization (UMAP’2017)

Kowald, S., Pujari, S., Lex, E. (2017) Supporting collaborative learning with tag recommendations: a real-world study in an inquiry-based classroom project. ACM

Kowald, S., Pujari, S., Lex, E. (2017) Temporal Effects on Hashtag Reuse in Twitter: A Cognitive-Inspired Hashtag Recommendation Approach. ACM

Dietze, S., Taibi, D., Yu, R., Barker, P., d’Aquin, M. (2017) Analysing and Improving embedded Markup of Learning Resources on the Web. ACM

Kopeinik, D. Kowald, I. Hasani-Mavriqi, E. Lex (2017). Improving Collaborative Filtering Using a Cognitive Model of Human Category Learning. NOW Publishers

d’Aquin, Mathieu and Motta, Enrico (2016). The Epistemology of Intelligent Semantic Web Systems. Synthesis Lectures on the Semantic Web: Theory and Technology, 6(1) pp. 1–88.

Allocca, C., Adamou, A., d’Aquin, M. and Motta, E. (2016) SPARQL Query Recommendations by Example, Demo at Extended Semantic Web Conference, ESWC 2016

Mouromtsev, D. and d’Aquin, M. (eds.) (2016) Open Data for Education: Linked, Shared, and Reusable Data for Teaching and Learning, Springer

d’Aquin, M. (2016) On the Use of Linked Open Data in Education: Current and Future Practices, in Open Data for Education: Linked, Shared, and Reusable Data for Teaching and Learning, eds. Dmitry Mouromtsev and Mathieu d’Aquin

Taibi, D., Fulantelli, G., Dietze, S. and Fetahu, B. (2016) Educational Linked Data on the Web – Exploring and Analysing the Scope and Coverage, in Open Data for Education: Linked, Shared, and Reusable Data for Teaching and Learning, eds. Dmitry Mouromtsev and Mathieu d’Aquin

Taibi, D. and Dietze, S. (2016) Towards embedded markup of Learning Resources on the Web: a quantitative analysis of the use of LRMI properties, in Linked Learning workshop, LILE 2016

Ben Ellefi, M., Bellahsene, Z., Dietze, S., Todorov, K. (2016) Beyond Established Knowledge Graphs- Recommending Web Datasets for Data Linking, in  Web Engineering, pp.262-279, 16th International Conference on Web Engineering (ICWE2016)

Ben Ellefi, M., Bellahsene, Z., Dietze, S., Todorov, K. (2016) Intension-based Dataset Recommendation for Data Linking, in 13th Extended Semantic Web Conference (ESWC2016)

Holtz, P. (2016). 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’. Papers on Social Representations, 25, 13.1-13.24

Yu R., Gadiraju U., Zhu X., Fetahu B., Dietze S. (2016) Towards Entity Summarisation on Structured Web Markup, in ESWC 2016

Yu, R., Fetahu, B., Gadiraju, U., Dietze, S. (2016) A Survey on Challenges in Web Markup Data for Entity Retrieval, poster & short paper at 15th International Semantic Web Conference (ISWC2016)

A. Ceroni, U. Gadiraju, J. Matschke, S. Wingert, M. Fisichella. (2016) Where the Event Lies: Predicting Event Occurrence in Textual Documents, in Proceedings of the 39th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR ’16)

Gadiraju, U., Siehndel, P., Dietze, S. (2016) Estimating Domain Specificity for Effective Crowdsourcing of Link Prediction and Schema Mapping, in Proceedings of the 8th ACM Conference on Web Science, Pages 323-324

Ujwal Gadiraju, Gianluca Demartini, Djellel Eddine Difallah, and Michele Catasta. (2016) It’s getting crowded!: how to use crowdsourcing effectively for web science research, in Proceedings of the 8th ACM Conference on Web Science (WebSci ’16)

Gadiraju, U., & Siehndel, P. (2016) Unlock the Stock: User Topic Modeling for Stock Market Analysis, in EDBT/ICDT Workshops 2016.

Gadiraju, U. (2016) “Make hay while the crowd shines: towards effective crowdsourcing on the web” by Ujwal Gadiraju, with Prateek Jain as coordinator. in SIGWEB Newsletter, 2016, 3.

Fetahu, B., Markert, K., Nejdl, W. & Anand, A. (2016) Finding News Citations for Wikipedia, in Proceedings of the 25th CIKM, ACM.

Hasani-Mavriqi, I., Geigl, F., Pujari, S.C., Lex, E., Helic, D. (2016) The influence of social status and network structure on consensus building in collaboration networks, in  Social Network Analysis and Mining 6 (1), 80 (SNAM). 2016.

Stanisavljevic, D., Hasani-Mavriqi, I., Lex,  E., Strohmaier, M., Helic, D.. (2016) Semantic Stability in Wikipedia, in Studies in Computational Intelligence (SCI), Springer

Kopeinik, S., Kowald, D., Lex, E. (2016) Which algorithms Suit Which Learning Environments? A Comparative Study of Recommender Systems in TEL, in Proceedings of the European Conference on Technology Enhanced Learning (EC-TEL 2016).


Relevant previous publications from the AFEL Team

Dietze, S., Taibi, D., and d’Aquin, M. (2016), Facilitating Scientometrics in Learning Analytics and Educational Data Mining – the LAK Dataset, Semantic Web Journal, to appear.

Dietze, S., Taibi, D., Yu, H. Q. and Dovrolis, N. (2015), A Linked Dataset of Medical Educational Resources, British Journal of Educational Technology (BJET), Volume 46, Issue 5, pages 1123–1129.

Yu, R., Gadiraju, U., Fetahu, B., and Dietze, S. (2015) Adaptive Focused Crawling of Linked Data, 16th International Conference on Web Information Systems Engineering (WISE2015), Miami, US

Gadiraju, U., Kawase, R., Dietze, S. and Demartini, G. (2015), Understanding Malicious Behavior in Crowdsourcing Platforms: The Case of Online Surveys. ACM CHI Conference on Human Factors in Computing Systems (CHI2015), April 18-23, Seoul, Korea.

Gadiraju U., Fetahu, B. and Kawase, R. (2015) Training Workers for Improving Performance in Crowdsourcing Microtasks, ECTEL 2015; Toledo,  Spain.

Gadiraju, U., Demartini, G., Kawase, R. and Dietze, S. (2015) Human beyond the Machine: Challenges and Opportunities of Microtask Crowdsourcing. In: IEEE Intelligent Systems, Volume 30 Issue 4 – Jul/Aug 2015.

Fetahu, B., Markert, K., and Anand, A. (2015) Automated News Suggestions for Populating Wikipedia Entity Pages. CIKM 2015: 323-332

Fetahu, B., Gadiraju, U., Dietze, S. (2015) Improving Entity Retrieval on Structured Data, 14th International Semantic Web Conference  (ISWC2015), Bethlehem, US.

Kimmerle, J., Moskaliuk, J., Oeberst, A., & Cress, U.  (2015). Learning and collective knowledge construction with social media: A process-oriented perspective. Educational Psychologist, 50, 120-137. doi:10.1080/00461520.2015.1036273.

Alonso Maturana, R.; Moreno-Moreno, A.; Alvarado, M.E.; López-Sola, S. (2014). “Didactalia: Building and Taking Advantage of Large Educational Knowledge Graph to Improve and Accelerate the Teaching-Learning Process”, in Linked Learning 2014 collocated with ISWC2014, October, Riva del Garda, Italy.

d’Aquin, M. (2014) Linked Data for Open and Distance Learning (second edition), Commonwealth of Learning Report

Zerr, S., d’Aquin, M., Marenzi, I., Taibi, D., Adamou, A. and Dietze, S. (2014) Towards Analytics and Collaborative Exploration of Social and linked Media for Technology-Enchanced Learning Scenarios, Workshop: 1st International Workshop on Dataset PROFIling & fEderated Search for Linked Data (PROFILES 2014), Heraklion, Greece, 1151, 3, CEUR-WS

d’Aquin, M., Dietze, S., Drachler, H., Taibi, D. and Herder, E. (2014) Using linked data in Learning Analytics, eLearning Papers, 36

d’Aquin, M. and Dietze, S. (2014) Open Education: A Growing, High Impact Area for Linked Open Data, ERCIM News, 96

Domingue, J., d’Aquin, M., Simperl, E. and Mikroyannidis, A. (2014) The Web of Data: Bridging the Skills Gap, IEEE Intelligent Systems, 29, 1, pp. 70-74

Cress, U., Schwämmlein, E., Wodzicki, K., & Kimmerle, J.  (2014). Searching for the perfect fit: The interaction of community type and profile design in online communities. Computers in Human Behavior, 38, 313-321. doi:10.1016/j.chb.2014.06.007.

Halatchliyski, I., Moskaliuk, J., Kimmerle, J., & Cress, U. (2014). Explaining authors’ contribution to pivotal artifacts during mass collaboration in the Wikipedia’s knowledge base. International Journal
of Computer-Supported Collaborative Learning, 9, 97-115. doi:10.1007/s11412-013-9182-3.

Kimmerle, J., Bientzle, M., & Cress, U.  (2014). Personal experiences and emotionality in health-related knowledge exchange in Internet forums: A randomized controlled field experiment comparing responses to facts vs personal experiences. Journal of Medical Internet Research, 16:e277. doi:10.2196/jmir.3766.

Oeberst, A, Halatchliyski, I., Kimmerle, J., & Cress, U.  (2014). Knowledge construction in Wikipedia: A systemic-constructivist analysis. Journal of the Learning Sciences, 23, 149-176.

Alonso Maturana, R.; Alvarado, M.E.; López-Sola, S.; Ibáñez M.J.; Ruiz Elósegui, L. (2013). “Linked Data based applications for Learning Analytics Research: faceted searches, enriched contexts, graph browsing and dynamic graphic visualisation of data”, in Proceedings of the LAK Data Challenge, LAK 2013 the Third Conference on Learning Analytics and Knowledge, Leuven (Belgium), April 2013.

Alonso Maturana, R.; Ortega, M.; Alvarado, M. E.; López-Sola, S.; Ibáñez, M.J. 2013: “ Art After Technology. Putting cultural data to work in a Linked Data platform”, in Proceedings of the LinkedUp Veni Competition on Linked and Open Data for Education, Open Knowledge Conference (OKCon), Geneve (Switzerland), September, 2013.

d’Aquin, M., Adamou, A. and Dietze, S. (2013) Assessing the Educational Linked Data Landscape, ACM Web Science 2013, Paris, France

d’Aquin, M. and Jay, N. (2013) Interpreting Data Mining Results with Linked Data for Learning Analytics: Motivation, Case Study and Direction, International Learning Analytics & Knowledge Conference, LAK 2013

Cress, U., Held, C., & Kimmerle, J. (2013). The collective knowledge of social tags: Direct and indirect influences on navigation, learning, and information processing. Computers & Education, 60, 59-73.

Kimmerle, J., Thiel, A., Gerbing, K.-K., Bientzle, M., Halatchliyski, I., & Cress, U. (2013). Knowledge construction in an outsider community: Extending the communities of practice concept. Computers in Human Behavior, 29, 1078-1090. doi:10.1016/j.chb.2012.09.010.

d’Aquin, M., , c. and Collins, T. (2012) DiscOU: A Flexible Discovery Engine for Open Educational Resources Using Semantic Indexing and Relationship Summaries, Demo at International Semantic Web Conference, ISWC 2012

Held, C., Kimmerle, J., & Cress, U. (2012). Learning by foraging: The impact of individual knowledge and social tags on web navigation processes. Computers in Human Behavior, 28, 34-40. doi:10.1016/j.chb.2011.08.008.

Kimmerle, J., Gerbing, K.-K., Cress, U., & Thiel, A.  (2012). Exchange of complementary and alternative medical knowledge in sport-related Internet fora. Sociology of Sport Journal, 29, 348-364.

Yu, R., Gadiraju, U., Fetahu, B., Dietze, S., (2015) Adaptive Focused Crawling of Linked Data, 16th International Conference on Web Information Systems Engineering (WISE2015)