=Paper=
{{Paper
|id=Vol-2326/KeynoteSpeakers
|storemode=property
|title=None
|pdfUrl=https://ceur-ws.org/Vol-2326/KeynoteSpeakers.pdf
|volume=Vol-2326
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==None==
https://ceur-ws.org/Vol-2326/KeynoteSpeakers.pdf
ICAASE'2018
Keynote Speakers
International Conference on Advances Aspects of Software Engineering
ICAASE, December, 01-02, 2018, Constantine, Algeria
ICAASE'2018
Keynote Speakers(1/2)
Erich Neuhold (Semantic Models, Information and the World Wide Web)
Erich Neuhold is Professor at the
Faculty of Computer Science at the
University of Vienna and at the Faculty of
Computer Science at the Darmstadt
University of Technology.
Abstract.
Interoperability is a qualitative property of computing infrastructures that denotes the ability
of the sending and receiving systems to exchange and properly interpret information objects
across program or system boundaries.
Since this property is not given by default as the interoperability problem involves the
representation and interpretation of meaning it has been an active research topic for
approximately four decades.
The talk will investigate the (reoccurring) problem of interoperability as it can be found in the
massive data collections around the WEB and Open Linked Data concepts. We investigate
semantics and interoperability research from the point of view of information systems. To set
the scene an overview of existing old and new interoperability techniques are discussed and
future research directions, especially for concepts found in Open Linked Data, and the
Semantic WEB are pointed out.
International Conference on Advanced Aspects of Software Engineering 7
ICAASE, December, 01-02, 2018
ICAASE'2018
Keynote Speakers(2/2)
Allel Hadjali (Skyline Decision: State-of-the-Art and Future Trends)
Allel HADJALI is Full Professor in
Computer Science at the National
Engineering School for Mechanics and
Aerotechnics (ISAE-ENSMA), Poitiers,
France. He is a member of the Data & Model
Engineering research team of the Laboratory
of Computer Science and Automatic Control
for Systems (LIAS/ISEA-ENSMA).
E-mail : allel.hadjali@ensma.fr
Abstract
The Skyline paradigm has gained considerable attention in database systems in the last decade
and is proved to be valuable for multi-criteria decision-making applications. It provides an
adequate tool that can help users to make intelligent decisions in the presence of complex
multidimensional data where different and often conflicting criteria must be taken into
account. It relies on the well-known Pareto optimality principle.
With the era of Big data, there has been a growing interest in the Skyline query research and
has widely been used in a several modern real-life applications such decision support systems,
market research applications, continuous data stream environments, location-based systems,
cloud architectures and quality of services, computer security, bioinformatics, etc.
In this presentation, we provide a comprehensive overview on the Skyline queries where the
semantic and computational aspects and the different variants of Skyline are explicitly
discussed. At the end, some interesting and promising lines of research for future workare
outlined.
KeyWords: Multidimensional data sets, Pareto optimality, Skyline queries, Multi-criteria
decision making.
International Conference on Advanced Aspects of Software Engineering 8
ICAASE, December, 01-02, 2018