PixMeAwayTravel recommendation platform
ecosioSolutions for the exchange of electronic documents
E-Business and E-Commerce include, besides other influencing domains, rapid changes to economic and social processes. For this reason, the E-Commerce group pursues taking an encompassing view at such processes reaching from analyzing enterprises and their respective processes to evaluating the entire market, as well as is active in creating ideas and solutions for meeting the demands of the respective stakeholders.
Overall, the E-Commerce group performs research and creates solutions in the Business-2-Business (B2B) and Business-2-Consumer (B2C) domains. In the B2B domain, the group focuses on (i) business (process) modeling and definition and consequently the specification and implementation of e-business systems while considering and contributing to semantic web research and service-oriented architectures, (ii) ontology engineering and information integration, (iii) "Web Science" focusing on network analysis and content as well as text mining. In the B2C domain, the E-Commerce group performs research targeting (i) visual interaction paradigms as well as (ii) mobile applications. Thereby, our group focuses especially on the development and application of our research in the area of e-tourism and its mobile applications.
Parts of the EC group are working on systems based research, namely on virtualized HPC systems, massive-scale data analytics and energy efficient ultra-scale distributed systems. Our goal thereby is to develop speculative methodologies and techniques to allocate resources in an energy efficient way, but at the same time meet requirements of the end users, like the certain latency of the applications. Our approaches are evaluated quantitatively on different scales by simulations, benchmarks or on experimental clusters. We strive to develop generic methods and methodologies but we let our research be inspired by a set of real world applications from different domains like life science (e.g., DNA sequencing) or social media (e.g., Facebook size data centers).
We look for a student with MSc (or equal) in Informatics or Business Informatics who is interested to pursue a PhD in the area of Digital humanities - comparative analysis of letters, amateur videos and selfies. Knowledge of German is required. The work will be conducted in cooperation with two PhD students from the area of Humanities.
The E-Commerce Group invites together with the Faculty of Informatics to the talk "Three Research Perspectives on Business Process Management" by Prof. Dr. Jan Mendling from Institute for Information Business at Wirtschaftsuniversität Wien.
When? June 17, 2014, 17:00-19:00
Where? TU Vienna, Favoritenstrasse 9-11, 1040 Vienna
Lecture room Gödel, ground floor
Business process management is an area of research that integrates computer science,
information systems research, operations management and management science.
This richness of perspectives is a benefit and a burden at the same time.
This talk introduces an integrated view of business process management and investigates
which research perspectives are fruitful to investigate particular facets.
For each of the three identified perspectives, we point to established research standards
that help to organize and position one’s own research paper in the area of business process management.
Prof. Dr. Jan Mendling is a Full Professor and head of the Institute for Information Business at
Wirtschaftsuniversität Wien (WU Vienna), Austria. His research areas include Business Process Management,
Conceptual Modelling and Enterprise Systems. He has published more than 200 research papers and articles,
among others in ACM Transactions on Software Engineering and Methodology,
IEEE Transaction on Software Engineering, Information Systems, Data & Knowledge Engineering, and Decision Support Systems.
He is member of the editorial board of three international journals, one of the founders of the Berlin BPM Community of Practice
(http://www.bpmb.de), organizer of several academic events on process management,
and member of the IEEE Task Force on Process Mining.
His Ph.D. thesis has won the Heinz-Zemanek-Award of the Austrian Computer Society and the German Targion-Award for dissertations
in the area of strategic information management.
Electronic Data Interchange based on standardized business documents has been available for decades. For specifying the syntax and partially the semantics of electronic business documents different transfer syntaxes are available, such as EDIFACT or XML-based standards. Nevertheless, further research is required for enabling seamless interoperability, automated information exchange as well as automated information processing. Recently an approach summarized under the umbrella of schema.org has been defined. The idea of schema.org is to provide standardized semantic annotations which allow augmenting structured business documents with additional semantic information. The annotations are used by major search engine provides such as Google, Yahoo!, Bing and others. The task of this masters thesis is to investigate the underlying concepts of schema.org as well as to create an prototypical implementation for demonstrating the cutting-edge capabilities of schema.org.
Co-supervisor: Dr. Christian Pichler.
Mona Rasteh was born in 1986 in Tehran, Iran. She received her B.Sc. degree in Information Technology from Tehran Azad University in June 2008, and her M.Sc. degree in Computer Science from Johannes Kepler University in June 2013. She is now a Ph.D. student in the E-Commerce group at Vienna University of Technology. Her interests are competence management and service systems. She is supervised by Prof. Dorn.
Recently, process mining emerged as a new scientific discipline on the interface between process models and event data. Whereas conventional Business Process Management (BPM) approaches are mostly model-driven with little consideration for event data, the increasing availability of high-quality data enables management decisions based on “evidence” rather than PowerPoints or Visio diagrams. Process mining can be used to (better) configure BPM systems and check compliance. Moreover, the high-quality event logs of BPM systems allow for advanced forms of process mining such as prediction, recommendation, and trend analysis. The challenge is to turn torrents of event data ("Big Data") into valuable insights related to performance and compliance. The results can be used to identify and understand bottlenecks, inefficiencies, deviations, and risks. Process mining helps organizations to "mine their own business": they are enabled to discover, monitor and improve real processes by extracting knowledge from event logs. In his talk, prof. Wil van der Aalst will provide an overview of this exciting field that will become more and more important for BPM.
Prof.dr.ir. Wil van der Aalst is a full professor of Information Systems at the Technische Universiteit Eindhoven (TU/e). He is also the Academic Supervisor of the International Laboratory of Process-Aware Information Systems of the National Research University, Higher School of Economics in Moscow. Moreover, since 2003 he has a part-time appointment at Queensland University of Technology (QUT). His research interests include workflow management, process mining, Petri nets, business process management, process modeling, and process analysis. Many of his papers are highly cited (he has an H-index of more than 107 according to Google Scholar, making him the European computer scientist with the highest H-index) and his ideas have influenced researchers, software developers, and standardization committees working on process support. In 2012, he received the degree of doctor honoris causa from Hasselt University. In 2013, he was appointed as Distinguished University Professor of TU/e. He is also a member of the Royal Holland Society of Sciences and Humanities (Koninklijke Hollandsche Maatschappij der Wetenschappen) and the Academy of Europe (Academia Europaea).