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Keynote Lectures

The Evolution of Search Over Structured Data: From SQL to Natural Language
Georgia Koutrika, Athena Research Center, Greece

Overcoming the Drawbacks of Traditional Process Management Software
Manfred Reichert, Ulm University, Germany

 

The Evolution of Search Over Structured Data: From SQL to Natural Language

Georgia Koutrika
Athena Research Center
Greece
 

Brief Bio
Dr. Georgia Koutrika is Director of Research at Athena Research Center in Greece. She has worked at HP Labs, at IBM Research-Almaden, and as a postdoctoral researcher at the Computer Science Dept., Stanford University. She has received a PhD and a diploma in Computer Science from the University of Athens in Greece. Her work is on data exploration, recommendation systems, user analytics, and large-scale information extraction and information integration. It has been incorporated in commercial products, described in 8 granted patents and 18 patent applications in the US and worldwide, and published in more than 80 research papers in top-tier conferences and journals. She is an IEEE Senior member, ACM member, ACM Distinguished Speaker, and ACM SIGMOD Associate Information Director. She serves in various roles in the program committees of top-tier conferences, including as Associate Editor for VLDB 2019 and 2020, Demo PC co-chair for ACM SIGMOD 2018, General Co-Chair for ACM SIGMOD 2016, Industrial Track PC Chair for EDBT 2016, and Workshop and Tutorial Co-Chair for IEEE ICDE 2016.


Abstract
Structured query languages (e.g., SQL) are indispensable tools for many kinds of users, e.g., advanced searchers, database administrators, and SQL programmers. However, it is hard for inexperienced users to pose structured queries, since they are not proficient in writing in these query languages and they do not have a thorough understanding of the data schema. Given the current trend for data democratization, modern search interfaces over structured data aim at supporting free-form (keyword or natural language) queries. In fact, building natural language interfaces for databases has been one of the "holy grails" of the database community since its early days. With a wealth of efforts coming not just from the databases but also from the machine learning, natural language processing and programming languages communities, a rich and heterogeneous space of solutions is shaped. In this talk, we will see the evolution of search over structured data and talk about several exciting problems and directions as we move towards truly conversational search interfaces.



 

 

Overcoming the Drawbacks of Traditional Process Management Software

Manfred Reichert
Ulm University
Germany
 

Brief Bio
Manfred is Professor of Computer Science and Director of the Databases and Information Systems Institute at Ulm University, Germany. His research spans across the fields of digital services, information systems, business process management, and process flexibility. Moreover, he has been engaged in many projects related to healthcare, logistics, automotive engineering, and Industry 4.0. Currently, he collaborates with several large companies, including Daimler,BMW Uhlmann Pac Systems, and adesso. Manfred was PC co-chair of the BPM’08, CoopIS’11, and EDOC’13 conferences, and general chair of the BPM’09 and EDOC’14 conferences as well as the BPM’15 workshops. He received several best paper wards (e.g. OTM’05, EDOC’08, AIMS‘17) as well as the BPM Test of Time Award at the BPM’13 conference. Finally, he is co-founder of the AristaFlow Ltd. and co-author of a Springer book on process flexibility.


Abstract
The increasing importance of data for process-aware software systems has led to the emergence of data-centric process support paradigms, e.g., artifact-centric, object-aware, and data-driven approaches. By tightly integrating process and data, corresponding approaches differ significantly from the widely used traditional (i.e. activity-centric) process paradigm, aiming at the support of data-intensive business processes and offering increased flexibility. In particular, the progress of a data-centric process depends on the availability of data rather than on the completion of activities. Moreover, the focus has shifted from large, monolithic processes towards rather small processes (e.g., object lifecyces), which need to collaborate in order to reach a common business goal. The keynote speech will provide profound insights into fundamental concepts, features and tools of data-centric approaches to BPM. Moreover, it will discuss how this process support paradigm opens up new prospects with respect to the engineering, automation, and monitoring of business processes in the era of digitization and Industry 4.0.



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