Conference Program

Aug. 19 (Monday) Aug. 20 (Tuesday) Aug. 21 (Wednesday)
8:30 – 9:15
Breakfast
8:30 – 9:00
Breakfast
8:30 – 9:30
Breakfast
9:15 – 10:30
Opening & Keynote 1
Bernhard Seeger (University of Marburg)
9:00 – 10:30
Tutorial
Mohamed Mokbel (Qatar Computing Research Institute)
9:30 – 10:30
Keynote 2
Jeffrey Xie (Oracle)
10:30 – 11:00
Coffee Break
10:30 – 11:00
Coffee Break
10:30 – 11:00
Coffee Break
11:00 – 12:30
Research Session 1
Spatial Entities
11:00 – 12:30
Research Session 3
Trajectories and Routing
11:00 – 12:30
Research Session 5
Advanced Queries I
12:30 – 14:00
Lunch Break
12:30 – 14:00
Lunch Break
12:30 – 14:00
Lunch Break
14:00 – 15:30
Research Session 2
Clustering and Diversification
14:00 – 15:30
Research Session 4
Indexing and Community Detection
14:00 – 15:40
Research Session 6
Advanced Queries II
15:30 – 16:00
Coffee Break
15:30 – 16:00
Coffee Break
15:40 – 15:45
Closing Remarks
16:00 – 17:30
Panel Discussion
16:00 – 17:20
Vision Session
18:00 – 20:00
Reception, Demo & Poster Session
18:00 – 21:00
Social Dinner

The Symposium takes places at the new EI building of TU Wien, located at Gußhausstraße 27-29, 1040 Vienna.

All sessions, except the demo & poster session, take place at the Lecture Hall 8 (EI 8 Pötzl HS) at the ground floor. The reception and the demo & poster session take place at the Contact Room (Kontaktraum) at the sixth floor.

Long research and industry papers are alloted a 30-minute slot (25' presentation + 5' Q&A). Short research and vision papers are alloted a 20-minute slot (15' presentation + 5' Q&A). The projector has a 16:10 aspect ratio.

The demo session takes place during the Reception.

The invited posters (recent GeoInformatica articles) are presented during the Reception. The available boards support posters printed up to A0 size.

Photos from SSTD 2019 are available online at flickr.

SSTD 2019

Sessions

Research Session 1 – Spatial Entities

Chair: Mohamed Mokbel (Qatar Computing Research Institute)
  • Multi-Source Spatial Entity Linkage
    Suela Isaj (Aalborg University), Esteban Zimányi (Université libre de Bruxelles), Torben Bach Pedersen (Aalborg University)
  • Seed-Driven Geo-Social Data Extraction
    Suela Isaj (Aalborg University), Torben Bach Pedersen (Aalborg University)
  • Exposing Points of Interest as Linked Geospatial Data
    Kostas Patroumpas (Athena Research Center), Dimitrios Skoutas (Athena Research Center), Georgios Mandilaras (University of Athens), Giorgos Giannopoulos (Athena Research Center), Spiros Athanasiou (Athena Research Center)

Research Session 2 – Clustering and Diversification

Chair: Matthias Schubert (Ludwig Maximilian University of Munich)
  • Significant DBSCAN towards Statistically Robust Clustering
    Yiqun Xie (University of Minnesota), Shashi Shekhar (University of Minnesota)
  • Location relevance and diversity in symbolic trajectories with application to telco data
    Maria Luisa Damiani (University of Milan), Fatima Hachem (University of Milan), Christian Quadri (University of Milan), Sabrina Gaito (University of Milan)
  • Fine-Grained Diversification of Proximity Constrained Queries on Road Networks
    Xu Teng (Iowa State University), Jingchao Yang (George Mason University), Joon-Seok Kim (George Mason University), Goce Trajcevski (Iowa State University), Mario A. Nascimento (University of Alberta), Andreas Zuefle (George Mason University)

Research Session 3 – Trajectories and Routing

Chair: Ralf Hartmut Güting (Fernuniversität Hagen)
  • Trajectory-aware Lowest-cost Path Selection: A Summary of Results
    Yan Li (University of Minnesota), Pratik Kotwal (University of Minnesota), Pengyue Wang (University of Minnesota), Shashi Shekhar (University of Minnesota), William Northrop (University of Minnesota)
  • Trajectory-aware Load Adaption for Continuous Traffic Analytics
    Kostas Patroumpas (Athena Research Center), Serafeim Papadias (The Hong Kong University of Science and Technology)
  • Scaling the Dynamic Resource Routing Problem
    Sebastian Schmoll (Ludwig Maximilian University of Munich) Sabrina Friedl (Ludwig Maximilian University of Munich), Matthias Schubert (Ludwig Maximilian University of Munich)

Research Session 4 – Indexing and Community Detection

Chair: Goce Trajcevski (Iowa State University)
  • PATHFINDER: Storage and Indexing of Massive Trajectory Sets
    Stefan Funke (University of Stuttgart), André Nusser (Max-Planck-Institut für Informatik), Tobias Rupp (University of Stuttgart), Sabine Storandt (University of Konstanz)
  • Period Index: A Learned 2D Hash Index Structure for Time Travel and Duration Queries
    Andreas Behrend (University of Bonn), Anton Dignös (Free University of Bozen-Bolzano), Matthias Rottmann (Bergische Universität Wuppertal), Joahnn Gamper (Free University of Bozen-Bolzano), Philip Schmiegelt (Fraunhofer FKIE Bonn), Karsten Kahl (University of Wuppertal), Hannes Voigt (TU Dresden)
  • Density-based Community Detection in Geo-Social Networks
    Kai Yao (The Hong Kong University of Science and Technology), Dimitris Papadias (The Hong Kong University of Science and Technology), Spiridon Bakiras (Hamad Bin Khalifa University)

Research Session 5 – Advanced Queries I

Chair: Aamir Cheema (Monash University)
  • Scalable temporal clique enumeration
    Kaijie Zhu (Eindhoven University of Technology), George H. L. Fletcher (Eindhoven University of Technology), Nikolay Yakovets (Eindhoven University of Technology), Odysseas Papapetrou (Eindhoven University of Technology), Yuqing Wu (Pomona College)
  • Efficient Interval-focused Similarity Search under Dynamic Time Warping
    Jens Willkomm (Karlsruhe Institute of Technology), Janek Bettinger (Karlsruhe Institute of Technology), Martin Schäler (Karlsruhe Institute of Technology), Klemens Böhm (Karlsruhe Institute of Technology)
  • Representative Query Answers on Uncertain Data
    Klaus Arthur Schmid (Siemens AG), Andreas Züfle (George Mason University)

Research Session 6 – Advanced Queries II

Chair: Andreas Züfle (George Mason University)
  • Continuous Detour Queries in Indoor Venues
    Chaluka Salgado (Monash University), Muhammad Aamir Cheema (Monash University), Tanzima Hashem (Bangladesh University of Engineering and Technology)
  • Local Pair and Bundle Discovery over Co-Evolving Time Series
    Georgios Chatzigeorgakidis (University of Peloponnese), Dimitrios Skoutas (Athena Research Center), Kostas Patroumpas (Athena Research Center), Themis Palpanas (Paris Descartes University), Spiros Athanasiou (Athena Research Center), Spiros Skiadopoulos (University of Peloponnese)
  • Streaming Deletion-Robust k-Coverage Queries
    Xingnan Huang (Nanjing University of Aeronautics and Astronautics), Jiping Zheng (Nanjing University of Aeronautics and Astronautics)
  • NoDA: Unified NoSQL Data Access Operators for Mobility Data
    Nikolaos Koutroumanis (University of Piraeus), Panagiotis Nikitopoulos (University of Piraeus), Akrivi Vlachou (University of Piraeus), Christos Doulkeridis (University of Piraeus)

Vision Session

Chair: Maria Luisa Damiani (University of Milan)
  • Towards A Unified Framework for Event Detection Applications
    Rami Alghamdi (University of Minnesota), Amr Magdy (University of California, Riverside), Mohamed Mokbel (University of Minnesota)
  • Understanding human mobility: A multi-modal and intelligent moving objects database
    Jianqiu Xu (Nanjing University of Aeronautics and Astronautics), Hua Lu (Aalborg University), Ralf Hartmut Güting (Fernuniversität Hagen)
  • Location-Based Social Simulation
    Hamdi Kavak (George Mason University), Joon-Seok Kim (George Mason University), Andrew Crooks (George Mason University), Dieter Pfoser (George Mason University), Carola Wenk (Tulane University), Andreas Züfle (George Mason University)
  • Learning Domain Driven and Semantically Enriched Embeddings for POI Classification
    Giorgos Giannopoulos (Athena Research Center), Marios Meimaris (Athena Research Center)

Panel Discussion – Some Reflections on SSTD's Past, Present and Future

Moderator: Mario A. Nascimento (University of Alberta)
Panelists: Walid Aref (Purdue University), Mohamed Mokbel (Qatar Computing Research Institute), Dimitris Papadias (The Hong Kong University of Science and Technology), and Raymond Wong (The Hong Kong University of Science and Technology)

Demonstrations

  • Demonstrating GeoSparkSim: A Scalable Microscopic Road Network Traffic Simulator Based on Apache Spark
    Zishan Fu (Arizona State University), Jia Yu (Arizona State University), Mohamed Sarwat (Arizona State University)
  • NiRec: Need Recommender for Hurricane Disaster Relief
    Long Nguyen (Texas Tech University), Siyuan Jiang (Texas Tech University), Hashim Abu-Gellban (Texas Tech University), Hanxiang Du (Texas Tech University), Fang Jin (Texas Tech University)
  • Addict Free – A Smart and Connected Relapse Intervention Mobile App
    Zhou Yang (Texas Tech University), Rashmi Kesidi (Texas Tech University), Vinay Jayachandra (Texas Tech University), Fang Jin (Texas Tech University)
  • ARGO: A Big Data Framework for Online Trajectory Prediction
    Petros Petrou (University of Piraeus), Panagiotis Nikitopoulos (University of Piraeus), Panagiotis Tampakis (University of Piraeus), Apostolis Glenis (University of Piraeus), Nikos Koutroumanis (University of Piraeus), Georgios M. Santipantakis (University of Piraeus), Kostas Patroumpas (University of Piraeus), Akrivi Vlachou (University of Piraeus), Harris Georgiou (University of Piraeus), Eva Chondrodima (University of Piraeus), Christos Doulkeridis (University of Piraeus), Nikos Pelekis (University of Piraeus), Gennady L. Andrienko (Fraunhofer), Fabian Patterson (Fraunhofer), Georg Fuchs (Fraunhofer), Yannis Theodoridis (University of Piraeus), George A. Vouros (University of Piraeus)
  • HOTPERIODS: Visual Correlation Analysis of Interval Data
    Necati Duran (Free University of Bozen-Bolzano), Giovanni Mahlknecht (Free University of Bozen-Bolzano), Anton Dignös (Free University of Bozen-Bolzano), Johann Gamper (Free University of Bozen-Bolzano)
  • Analyzing Trajectories Using a Path-based API
    Robert Waury (Aalborg University), Peter Dolog (Aalborg University), Christian S. Jensen (Aalborg University), Kristian Torp (Aalborg University)
  • MobilityDB: A Mainstream Moving Object Database System
    Esteban Zimányi (Université Libre de Bruxelles), Mahmoud Sakr (Université Libre de Bruxelles), Arthur Lesuisse (Université Libre de Bruxelles), Mohamed Bakli (Université Libre de Bruxelles)
  • LGM-PC: A Tool for POI Category Recommendation on QGIS
    Giorgos Eftaxias (Eratosthenes S.A.), Andreas Syngros (Geodata S.A.), Nontas Tsakonas (Eratosthenes S.A.), Giorgos Giannopoulos (Athena Research Center), Nikos Kostagiolas (Athena Research Center), Dimitrios Skoutas (Athena Research Center)

Invited Posters

  • Continuous k nearest neighbor queries over large multi-attribute trajectories: a systematic approach
    Jianqiu Xu (Nanjing University of Aeronautics and Astronautics), Ralf Hartmut Güting (Fernuniversität Hagen), Yunjun Gao (ZheJiang University)
  • Spatio-temporal access methods: a survey (2010 - 2017)
    Ahmed Mahmood (Google), Sri Punni (Purdue University), Walid Aref (Purdue University)
  • Crosstown Traffic - Supervised Prediction of Impact of Planned Special Events on Urban Traffic
    Nicolas Tempelmeier (L3S Research Center), Stefan Dietze (GESIS) and Elena Demidova (L3S Research Center)

Invited Talks

Keynote 1 – Issues in the biodiversity realm for spatio-temporal database systems

The loss in biodiversity and the associated climate change are among the most important challenges of humanity. Since the rate of species extinction is increasing very rapidly, there will be a serious impact on the daily life of all people on earth very soon. The foundation for addressing these challenges is to capture biodiversity data over time, to create large spatio-temporal databases, and to manage them according to the so-called FAIR-principles. In addition, processing and analysis of these databases as well as extracting knowledge and visualization become major challenges. Despite these demanding research opportunities, there are few researchers of the spatial database community working in biodiversity. This talk is a plea to our community to start conducting research in this challenging field of biodiversity and to deal with applications of high social relevance. In return, we would receive important impulses to our research as well as a higher reputation in science and society.

Bernhard Seeger is Professor of Computer Science at University of Marburg, Germany for 25 years. His research concerns event processing systems and spatio-temporal data management systems as well as their applications in biodiversity and climate research. He is part of GFBio consortium, a German initiative to build an infrastructure for biodiversity data, in which he is responsible for integration, analysis and visualization of biodiversity data. He is also part of GEOBON, the Group on Earth Observations Biodiversity Observation Network, to aim at the design and implementation of a biodiversity platform. He is a Director of the SSTD Endowment, an Associated Editor of ACM TODS, and has frequently served as PC member in all major database conferences.

Keynote 2 – Evolution of Spatial Data Management: Isolated Spatial databases to Autonomous Spatial Data Platform

Spatial databases came into prominence 20 years ago with the introduction of spatial data types into traditional relational databases. Over the last 20 years, many advances in spatial databases brought spatial data management into mainstream applications. With the recent developments in Big Data, NoSQL databases, Cloud Computing, Edge Computing, and AI technologies, there is disruption in the industry. The idea of consolidating all of the spatial data into one single database is being challenged. In this talk, we present the evolution of spatial data management and an emerging trend where spatial data management can be consolidated under an autonomous spatial data platform. We present a reference architecture for this vision and describe how spatial applications can be built on top of this autonomous data platform.

Qingyun (Jeffrey) Xie is Director of Software Development of Oracle Spatial and Graph at Oracle Corporation. He leads the development teams of Oracle GeoRaster Database, Spatial Web Services, Spatial AI and Analytics, Spatial-Visual Image Search, as well as Open Source Integrations. He joined the Oracle Spatial and Graph group in 2000. He was one of the major developers of the Whole Earth Geometry Model, Coordinate Systems, and Unit Support of Oracle Spatial. He is the architect and lead developer of Oracle GeoRaster, which was initially released in 2004 and is the leading geospatial image database management system used by large organizations worldwide to manage and analyze unlimited amount of satellite imagery, airborne photographs, terrain models, LULC information, and numerous other geo spatial data types. Mr. Xie has over 20 years of R&D experience in enterprise software, Spatial Database, GIS and Remote Sensing. Prior to joining Oracle, he was a Product Developer at BMC Software for one year. Before that he was a research team leader for over five years at the Research Institute of Geological Remote Sensing, CNPC, China, where he was the head of a GIS & Image Processing Lab, was lead Principle Investigator fully responsible for five state funded research projects, architected and led development of a geospatial and image database management software, and received an Outstanding Researcher Award by the parent organization in 1995. Mr. Xie has published over 30 research and technical articles and patents in the areas of Image and Spatial Databases, GIS, and Remote Sensing. He holds BS and MS degrees in Remote Sensing and GIS from Zhejiang University and a MS degree in Computer Science from University of Massachusetts Boston. He also full time enrolled in the PhD program in GIS/Environmental Science at University of Massachusetts Boston for one year and has a Graduate Certificate in Business Administration from University of Massachusetts Lowell.

Tutorial – Machine Learning Meets Big Spatial Data

The proliferation in amounts of generated data has propelled the rise of scalable machine learning solutions to efficiently analyze and extract useful insights from such data. Meanwhile, spatial data has become ubiquitous, e.g., GPS data, with increasingly sheer sizes in recent years. The applications of big spatial data span a wide spectrum of interests including tracking infectious disease, climate change simulation, drug addiction, among others. Consequently, major research efforts are exerted to support efficient analysis and intelligence inside these applications by either providing spatial extensions to existing machine learning solutions or building new solutions from scratch. This talk gives a comprehensive review for the state-of-the-art work in the intersection of machine learning and big spatial data, and highlights open problems and challenges for future research in this area.

Mohamed Mokbel is Chief Scientist at Qatar Computing Research Institute. Before joining QCRI, he held positions as Professor at the University of Minnesota, visiting researcher at Microsoft Research, and Founding Technical Director of GIS Technology Innovation Center, Makkah, Saudi Arabia. He obtained his PhD in Computer Science from Purdue University, USA, and an MSC and BSc from Alexandria University, Egypt. His current research interests focus on system infrastructure for spatial data and applications. His research work has been recognized with the VLDB 10-Year Best Paper Award, four conference 'best paper awards', and the NSF Career Award. Mohamed is the past elected Chair of ACM SIGSPATIAL, current Editor-in-Chief for Distributed and Parallel Databases Journal, and is on the editorial board of ACM Books, ACM TODS, VLDB Journal, ACM TSAS, and GoeInformatica journals. He has also served as PC Vice Chair of ACM SIGMOD and PC Co-Chair for ACM SIGSPATIAL and IEEE MDM.

Social Events

Reception

The reception of SSTD 2019 takes place Monday evening at the rooftop terrace of the symposium's venue.

Dinner

The social dinner of SSTD 2019 takes place Tuesday evening at the Mayer am Pfarrplatz Heuriger, which is a traditional Viennese wine tavern. The address is Pfarrplatz 2, 1190 Vienna.

Transportation by coach is arranged from the symposium's venue to the tavern and then back again. We are meeting at 18:00 in front of Hotel Johann Strauss (Favoritenstraße 12, 1040 Wien). The ride is about 30 minutes. The coach will depart from the tavern at 21:00 and return to the origin.

Awards

Best Paper Award

Significant DBSCAN towards Statistically Robust Clustering, Yiqun Xie (University of Minnesota), Shashi Shekhar (University of Minnesota)

Best Paper Award Runner-Ups

Representative Query Answers on Uncertain Data, Klaus Arthur Schmid (Siemens AG), Andreas Züfle (George Mason University)
Multi-Source Spatial Entity Linkage, Suela Isaj (Aalborg University), Esteban Zimányi (Université libre de Bruxelles), Torben Bach Pedersen (Aalborg University)

Best Vision Paper Award

Understanding human mobility: A multi-modal and intelligent moving objects database, Jianqiu Xu (Nanjing University of Aeronautics and Astronautics), Hua Lu (Aalborg University), Ralf Hartmut Güting (Fernuniversität Hagen)

Best Vision Paper Award Runner-Up

Location-Based Social Simulation, Hamdi Kavak (George Mason University), Joon-Seok Kim (George Mason University), Andrew Crooks (George Mason University), Dieter Pfoser (George Mason University), Carola Wenk (Tulane University), Andreas Züfle (George Mason University)

Best Demo Paper Award

MobilityDB: A Mainstream Moving Object Database System, Esteban Zimányi (Université Libre de Bruxelles), Mahmoud Sakr (Université Libre de Bruxelles), Arthur Lesuisse (Université Libre de Bruxelles), Mohamed Bakli (Université Libre de Bruxelles)

Best Demo Paper Award Runner-Up

Demonstrating GeoSparkSim: A Scalable Microscopic Road Network Traffic Simulator Based on Apache Spark, Zishan Fu (Arizona State University), Jia Yu (Arizona State University), Mohamed Sarwat (Arizona State University)

Sponsoring

Why sponsor SSTD 2019?

It is our great pleasure to invite you to join the International Symposium on Spatial and Temporal Databases 2019 (SSTD 2019) – to be held in Vienna, Austria at the TU Wien campus – as a sponsor.

SSTD 2019 marks the 30-year anniversary of a series of biannual symposia that discuss new and exciting research in spatial, temporal and spatio-temporal data management and related technologies with the goal to set future research directions. SSTD symposia primarily focus on original results in theoretical foundations, design, implementation, and applications of spatial and temporal database technology. SSTD also welcomes experience reports from application specialists and the commercial community that describe lessons learned in the development, operation, and maintenance of actual systems in practical and innovative applications. The goal is to exchange research ideas and results across academia, industry and government from diverse geographies, and career stages.

The Benefits of Sponsorship

The detailed “deal” for a sponsor is listed in the next section. The big picture is the following:

  • Maximum visibility during the pre-conference announcements and the conference.
  • Development of familiarity with the innovation leaders of spatio-temporal data management.
  • Early and in-depth exposure to ideas that will shape the future of spatio-temporal data management.
  • A recruiting event pairing sponsors at the gold level and above with soon-to-graduate students that have experience in this area.
  • Appreciation of attending soon-to-graduate students of the sponsor’s profile, and opportunities for informal contacts during the conference.

Companies that have sponsored SSTD in the past include HERE International B.V., Google, ESRI, Oracle, KDNuggets, Allianz, Audi and Siemens.

More information about the sponsorship options can be found here.