Vita/Bio
Brief Bio (English)
Version 1
Abraham Bernstein, Ph.D., is a Full Professor of Informatics at the University of Zurich (UZH), Switzerland. He received a Diploma in Computer Science from ETH Zurich and a Ph.D. in Management with a concentration in Information Technologies from the Sloan School of Management at MIT.
Mr. Bernstein is also a founding Director of the University of Zurich’s Digital Society Initiative (DSI) — a university-wide initiative with more than 180 faculty members from all disciplines investigating all aspects of the interplay between society and the digitalization and President of the Steering Committee of the Swiss National Science Foundation’s Research Priority Program 77 on the Digital Transformation. He was also a member of the Council of Europe’s Committee of Experts on human rights dimensions of automated data processing and different forms of artificial intelligence (MSI-AUT).
Professor Bernstein’s research research focuses on various aspects of the AI/data mining/machine learning, semantic web, recommender systems, crowd computing, and collective intelligence. His work is based on both social science (organizational psychology/sociology/economics) and technical (computer science, artificial intelligence) foundations. His research in this area has been published in leading Computer Science, Management Science, and AI professional outlets. It has also been covered by the Swiss Press. Professor Bernstein has served on the editorial boards of a variety of top journals including as an Editor at the Journal of Web Semantics, Associate Editor at the ACM Transaction on Internet Technologies or ACM Transactions on Interactive Intelligent Systems.
Version 2
Abraham Bernstein is a Full Professor of Informatics at the University of Zurich (UZH), Switzerland. His current research focuses on various aspects of the semantic web, recommender systems, data mining/machine learning, crowd computing, and collective intelligence. His work is based on both social science (organizational psychology/sociology/economics) and technical (computer science, artificial intelligence) foundations.
Mr. Bernstein is also a founding Director of the University of Zurich’s Digital Society Initiative (DSI) — a university-wide initiative with more than 180 faculty members investigating all aspects of the interplay between society and the digitalization.
Prior to joining the University of Zurich, Mr. Bernstein was on the faculty at New York University and also worked in industry. Mr. Bernstein is a Ph.D. from MIT and holds a Diploma in Computer Science from the Swiss Federal Institute in Zurich (ETH).
Short version
Abraham Bernstein is a Full Professor of Informatics as well as director of the Digital Society Initiative at the University of Zurich (UZH), Switzerland. His current research focuses on various aspects of the semantic web, data mining/machine learning, and collective intelligence. His work is based on both social science (organizational psychology/sociology/economics) and technical (computer science, artificial intelligence) foundations. Prior to joining the University of Zurich Mr. Bernstein was on the faculty at New York University and also worked in industry. Mr. Bernstein is a Ph.D. from MIT and holds a Diploma in Computer Science from the Swiss Federal Institute in Zurich (ETH).
Brief Bio (German)
Abraham Bernstein ist Ordentlicher Professor für Informatik an der der Universität Zürich (UZH), geschäftsführender Direktor der UZH Digital Society Initiative, der universitätsweiten Digitalisierungsinitiative mit Mitwirkung von mehr als 175 Professor*innen aus allen Disziplinen, sowie Präsident der Leitungsgruppe des Nationalen Forschungsschwerpunktes 77 des SNF zur Digitalen Transformation.
Er studierte an der ETH Zürich Informatik und promovierte am Massachusetts Institute of Technology. Seine Forschung basiert sowohl auf technischen wie auch sozialwissenschaftlichen Grundlagen und beinhaltet Themen wie die Künstliche Intelligenz, das Semantische Web, Maschinelles Lernen, heterogene Datenintegration, die digitale Demokratie/Medien sowie das Wechselspiel zwischen der Technologie und der Gesellschaft.
Kurzfassung
Abraham Bernstein, Ordentlicher Professor für Informatik, ist der Direktor der Digital Society Initiative der Universität Zürich (UZH). Er studierte an der ETH Zürich Informatik und promovierte an der Sloan School of Management des Massachusetts Institute of Technology (MIT). Von 2000 bis 2002 war er als Assistenzprofessor für Informationssysteme an der Stern School of Business der New York University tätig. Abraham Bernsteins Forschungsinteressen beinhalten das Semantische Web, Data-Mining, heterogene Datenintegration sowie das Wechselspiel zwischen sozialen und technischen Elementen der Informatik.
Publications
A mostly up-to-date list of my publications. A publication list of the whole research group can be found here.
A separate page with all publications can be found here.
We are, sadly, experiencing some problems with our traditional component listing publications (whichy ou can still find below, but I added the link to the UZH repository (ZORA), which is not 100% complete right here. For the time being, complete lists can be found at the links above.
ZORA Publication List
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Publications
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2017
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Journal Article
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Detecting Plagiarism based on the Creation Process. IEEE Transactions on Learning Technologies, 11(3):348-361.
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Conference or Workshop item
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Challenges of source selection in the WoD. In: ISWC 2017 - The 16th International Semantic Web Conference, Vienna, Austria, 21 October 2017 - 25 October 2017.
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Decentralizing the Semantic Web: Who will pay to realize it?. In: ISWC2017 workshop on Decentralizing the Semantic Web, Vienna, 20 October 2017 - 21 October 2017, OpenReview.
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Fewer Flops at the Top: Accuracy, Diversity, and Regularization in Two-Class Collaborative Filtering. In: 11th ACM Conference on Recommender Systems RecSys 2017, Como, Italy, 27 August 2017 - 31 August 2017, ACM Press.
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Task Routing and Assignment in Crowdsourcing based on Cognitive Abilities. In: World Wide Web Conference - Web Science Track, Perth, Australia, 3 April 2017 - 7 April 2017.
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Break the Windows: Explicit State Management for Stream Processing Systems. In: EDBT, Venice, Italy, 21 March 2017 - 24 March 2017. OpenProceedings.org, 482-485.
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Efficiently identifying a well-performing crowd process for a given problem. In: 20th ACM Conference on Computer-Supported Cooperative Work and Social Computing (CSCW 2017), Portland, OR, 25 February 2017 - 1 March 2017, s.n..
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Dissertation
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Crowd process design : how to coordinate crowds to solve complex problems. 2017, University of Zurich, Faculty of Economics.
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Edited Scientific Work
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Working Paper
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Data Analytics on Online Labor Markets: Opportunities and Challenges. ArXiv.org 1707.01790, Cornell University.
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2016
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Journal Article
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Updatable, accurate, diverse, and scalable recommendations for interactive applications. ACM Transactions on Interactive Intelligent Systems, 7(1):1-34.
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A New Look at the Semantic Web. Communications of the ACM, 59(9):1-5.
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PPLib: toward the automated generation of crowd computing programs using process recombination and auto-experimentation. ACM Transactions on Intelligent Systems and Technology, 7(4):49.
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Semantic web service search: a brief survey. Künstliche Intelligenz, 30(2):139-147.
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Signal/collect12: processing large graphs in seconds. Semantic Web, 7(2):139-166.
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Conference or Workshop item
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Society Rules. In: 10th International Conference on Web Reasoning and Rule Systems (RR 2016), Aberdeen, 9 September 2016 - 11 September 2016, Springer.
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Cuilt: a Scalable, Mix-and-Match Framework for Local Iterative Approximate Best-Response Algorithms. In: 22nd European Conference on Artificial Intelligence, The Hague, The Netherlands, 29 August 2016 - 2 September 2016. I O S Press, 1660-1661.
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Core-selecting payment rules for combinatorial auctions with uncertain availability of goods. In: Twenty-Fifth International Joint Conference on Artificial Intelligence, New York, USA, 9 July 2016 - 15 July 2016. AAAI Press / International Joint Conferences on Artificial Intelligence, 424-430.
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Towards Enabling Crowdsourced Collaborative Data Analysis. In: Collective Intelligence, New York, 1 June 2016 - 3 June 2016, Collective Intelligence.
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Efficient Exploration of the Crowd Process Design Space. In: Collective Intelligence 2016, New York, 1 June 2016 - 3 June 2016, Collective Intelligence.
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Improving Approximate Algorithms for DCOPs Using Ranks. In: International Workshop on Optimisation in Multi-Agent Systems, Singapore, 10 May 2016, s.n..
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Exploring Hybrid Iterative Approximate Best-Response Algorithms for Solving DCOPs. In: International Workshop on Optimisation in Multi-agent Systems, Singapore, 10 May 2016, s.n..
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Edited Scientific Work
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2015
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Journal Article
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Crowdsourcing and the semantic web: a research manifesto. Human Computation, 2(1):3-17.
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FoxPSL: a fast, optimized and extended psl implementation. International Journal of Approximate Reasoning, 67:111-121.
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Book Section
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Evaluating Semantic Search Systems to Identify Future Directions of Research. In: Simperl, Elena; Norton, Barry; Mladenic, Dunja; Della Valle, Emanuele; Fundulaki, Irini; Passant, A; Troncy, Raphael. The Semantic Web: ESWC 2012 Satellite Events. Heidelberg: Springer, 148-162.
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Conference or Workshop item
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Workload Scheduling in Distributed Stream Processors using Graph Partitioning. In: 2015 IEEE International Conference on Big Data (IEEE BigData 2015), Santa Clara, CA, USA, 29 October 2015 - 1 November 2015, IEEE Computer Society.
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Timely Semantics: A Study of a Stream-based Ranking System for Entity Relationships. In: The 14th International Semantic Web Conference, Bethlehem, PA, USA, 11 October 2015 - 15 October 2015.
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Running out of Bindings? Integrating Facts and Events in Linked Data Stream Processing. In: 4th International Workshop on Ordering and Reasoning, Bethlehem, PA, USA, 11 October 2015 - 12 October 2015, s.n..
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Blockbusters and Wallflowers: Speeding up Diverse and Accurate Recommendations with Random Walks. In: 9th ACM Conference on Recommender Systems RecSys 2015, Vienna, 16 September 2015 - 20 September 2015, ACM Press.
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Machines Tuning Machines: Configuring Distributed Stream Processors with Bayesian Optimization. In: 2015 IEEE International Conference on Cluster Computing (CLUSTER 2015), Chicago, Illinois, USA, 8 September 2015 - 11 September 2015, IEEE Computer Society.
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A Double Auction for Querying the Web of Data. In: The Third Conference on Auctions, Market Mechanisms and Their Applications, Chicago, United States, 8 September 2015 - 9 September 2015, ACM.
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Approximate Continuous Query Answering Over Streams and Dynamic Linked Data Sets. In: 15th International Conference on Web Engineering, Rotterdam, the Netherlands, 23 June 2015 - 26 June 2015.
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PPLib: towards systematic crowd process design using recombination and auto-experimentation. In: Collective Intelligence 2015, Santa Clara, CA, 31 May 2015 - 2 June 2015, University of Michigan.
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Random-walk triplerush: asynchronous graph querying and sampling. In: 24th International World Wide Web Conference (WWW 2015), Florence, Italy, 18 May 2015 - 22 May 2015. International World Wide Web Conferences Steering Committee Republic and Canton of Geneva, 1034-1044.
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Online view maintenance for continuous query evaluation. In: WWW 2015, Florence, Italy, 18 May 2015 - 22 May 2015, s.n..
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Wolf: An extended and scalable PSL implementation. In: AAAI Spring Symposium on Knowledge Representation and Reasoning: Integrating Symbolic and Neural Approaches, Stanford University, CA, 23 March 2015 - 25 March 2015, AAAI Press.
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2014
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Journal Article
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Querying a messy web of data with Avalanche. Journal of Web Semantics, 26:1-28.
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Should I Stay or Should I Go: The Challenges and Opportunities of Moving Between University Systems. Business & Information Systems Engineering, 6(2):115-126.
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Should I Stay or Should I Go. Herausforderungen und Chancen eines Wechsels zwischen Hochschulsystemen. Wirtschaftsinformatik, 56(2):131-144.
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Crowdsourcing and the Semantic Web (Dagstuhl Seminar 14282). Dagstuhl Reports, 4(7):25-51.
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(Partial) user preference similarity as classification-based model similarity. Semantic Web, 5(1):47-64.
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Book Section
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Mit Computer Sprechen: unterschiede und Gemeinsamkeiten zwischen menschlicher und maschineller Sprache. In: Glaser, Elvira; Kolmer, Agnes; Meyer, Martin; Stark, Elisabeth. Sprache(n) verstehen. Zurich: vdf, 197-214.
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Conference or Workshop item
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Cognition-based Task Routing:Towards Highly-Effective Task-Assignments in Crowdsourcing Settings. In: 35th International Conference on Information Systems (ICIS 2014), Auckland, New Zealand, 14 December 2014 - 17 December 2014, s.n..
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Behavior-Based Quality Assurance in Crowdsourcing Markets. In: Conference on Human Computation & Crowdsourcing 2014, Pittsburgh, USA, 2 November 2014 - 4 November 2014, s.n..
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SHAX: The Semantic Historical Archive eXplorer. In: The 13th International Semantic Web Conference, Riva del Garda, Trentino, Italy, 19 October 2014 - 23 October 2014, s.n..
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“Semantics Inside!” But let’s not tell the Data Miners: Intelligent Support for Data Mining. In: European Semantic Web Conference ESWC 2014, Crete, Greece, 25 May 2014 - 29 May 2014. Springer, 706-720.
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The CLOCK Data-Aware Eviction Approach: Towards Processing Linked Data Streams with Limited Resources. In: The 11th Extended Semantic Web Conference, Crete, Greece, 25 May 2014 - 29 May 2014, Springer.
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Edited Scientific Work
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Pagination
Important note about the Querix name
"Querix" is a registered trademark of Querix (UK) Ltd. (http://www.querix.com). The above mentioned tool/interface/publication named "Querix" was elaborated independent from Querix (UK) Ltd.