3rd International KEYSTONE Conference IKC 2017 Gdańsk Poland, 11-12 September 2017

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Program

Session I

15.20 - 17:00

Chair: Yannis Velegrakis
15.20 - 16.20 Invited Talk:
Data Cleaning in the Big Data era
Paolo Papotti (Assistant professor at Eurecom - Data Science, France)
Abstract: In the "big data" era, data is often dirty in nature because of several reasons, such as typos, missing values, and duplicates. The intrinsic problem with dirty data is that it can lead to poor results in analytic tasks. Therefore, data cleaning is an unavoidable task in data preparation to have reliable data for final applications, such as querying and mining. Unfortunately, data cleaning is hard in practice and it requires a great amount of manual work. Several systems have been proposed to increase automation and scalability in the process. They rely on a formal, declarative approach based on first order logic: users provide high-level specifications of their tasks, and the systems compute optimal solutions without human intervention on the generated code. However, traditional 'top-down' cleaning approaches quickly become unpractical when dealing with the complexity and variety found in big data.
In this talk, we first describe recent results in tackling data cleaning with a declarative approach. We then discuss how this experience has pushed several groups to propose new systems that recognize the central role of the users in cleaning big data.

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Nicholas Mamo and Joel Azzopardi. FIRE: Finding Important News REports.

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Fatma Slaimi, Sana Sellami and Omar Boucelma. From a Web Services Catalog to a Linked Ecosystem of Services.

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Session II

17.15 - 18.00
Chair: Elena Demidova

Charlie Abela and Joel Azzopardi. Analysing and Visualising Parliamentary Questions: a Linked Data approach.

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Claudia Ifrim, Iulian Iuga, Florin Pop, Manolis Wallace and Vassilis Poulopoulos. Data Reduction Techniques applied on Automatic Identification System Data.

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Paolo Nesi, Laura Po, José R. Rios Viqueira and Raquel Trillo Lado. An Integrated Smart City Platform.

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Session III

9.00 - 10.30
Chair: Julian Szymanski
9.00 - 9.45 Invited Talk:

Adventures of a Data Entrepreneur - The challenges in commercial machine learning projects
Jacek Kawalec (Voicelab, PL)

Jakub Jagoda and Tomasz Boinski. Assessing Word Difficulty for Quiz-like Game.

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Joel Azzopardi. Item-based vs User-based Collaborative Recommendation Predictions.

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Mariia Golovianko, Svitlana Gryshko and Vagan Terziyan. From Deep Learning to Deep University: Cognitive Development of Intelligent Systems.

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Session IV