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Keynote Speakers

Christian S. Jensen

Aalborg University, Denmark

Title: Keyword-Based Querying of Geo-Textual Content

Abstract: The web is being accessed increasingly by users with a known geo-location, and increasing volumes of geo-tagged objects are available on the web, including web pages, points of interest, and microblog posts. Studies suggest that each week, several billion keyword-based queries are issued that have some form of local intent and that target geo-tagged web objects with textual descriptions.

This state of affairs gives prominence to spatial web data management, and it opens to a research area with new and exciting opportunities and challenges. A prototypical spatial web query takes a user location and user-supplied keywords as arguments, and it returns objects that are spatially and textually relevant to these arguments. Due perhaps to the rich semantics of geographical space and its importance to our daily lives, many different kinds of relevant spatial web query functionality may be envisioned.

Based on recent and ongoing work by the speaker and his colleagues, the presentation covers selected functionality and concepts relating to spatial web querying; it covers queries, including aggregate queries that return different groups of objects, in order to support different kinds of user intent; and it covers directions for the future development of keyword-based spatial web querying.

Bio: Christian S. Jensen is Obel Professor of Computer Science at Aalborg University, Denmark, and he was previously with Aarhus University for three years and spent a one-year sabbatical at Google Inc., Mountain View. His research concerns data management and data-intensive systems and focuses on temporal and spatio-temporal data management. Christian is an ACM and an IEEE Fellow, and he is a member of Academia Europaea, the Royal Danish Academy of Sciences and Letters, and the Danish Academy of Technical Sciences. He has received several national and international awards for his research. He is Editor-in-Chief of ACM Transactions on Database Systems.

Björn Þór Jónsson

IT University of Copenhagen, Denmark

Title: Towards Scalable Multimedia Analytics

Abstract: The field of multimedia analytics has been proposed as an umbrella term for a range of techniques to explore and gain insight from multimedia collections. Recently, we proposed to integrate data management terchniques to achieve scalable multimedia analytics, and presented a set of research questions to tackle in this field. In this talk we will present two scalability projects that address a) large-scale off-line processing of multimedia, via cluster-based computing, and b) large-scale interactive learning of image preferences, via multi-core processing and compression. We end with a discussion on the importance and challenges of scalability.

Bio: Björn Þór Jónsson completed his Ph.D. degree in Computer Science from the University of Maryland, College Park, in 1999. He joined Reykjavík University, Iceland in fall 2000, where he served as Dean from January 2010 to January 2014. In January 2017, Björn joined the IT University of Copenhagen, Denmark, as Associate Pofessor. His research interests include scalability and efficiency of multimedia analytics and multimedia retrieval, in particular on novel computing architectures.