[AISWorld] ECIS 2017 - Similarity Detection in Digital Trace Data Workshop - June 6th, 2017 - Guimarães, Portugal

[Kyriakou, Harris]

The increasing availability of digital trace data and recent advances on both methods and tools to analyze data in unprecedented scale open up new venues for information systems research. These trends permit the implementation of novel analysis methods and create new opportunities for theorization.

Yet, the sheer volume of data means that the traditional research methods, whether qualitative or quantitative, may not be able to fully benefit from the depth and the breadth of the data available. That is unless the data is made accessible through intermediary transformation steps.

Traditionally this accessibility has been achieved by limiting the scale of the data through sampling strategies.

But advances in computational methods have made other strategies possible that may provide additional or holistic insights. Among others, these methods include dimensionality reduction methods used to “summarize” the data by focusing on its salient features and the methods capable of detecting patterns and similarities at a large scale. The combination of these computationally-powered tools with traditional research methods create new possibilities for both inductive and deductive research.

This workshop focuses on similarity detection methods. An interactive workshop will be held where the participants will have the chance to use similarity detection methods on pre-collected data. The workshop will include presentations and interactive sessions focusing on the following methods:

  *   Locality-sensitive hashing for text similarity detection.
  *   Spherical harmonic representation of 3D shapes for product design comparison.
  *   Semantic transformations with ontology extraction using Wikipedia.

A participation request form can be found at the workshop website: http://tiny.cc/similarity2017
Additional information can be found at the conference website: http://www.ecis2017.eu


Program

Workshop Date: June 6th 2017 (Half-day Workshop)
08:30-09:00

Registration & Coffee

09:00-09:15

Introduction & Overview of the Workshop

09:15-09:45

Showcase 1: Similarity hashing on programming code

09:45-10:15

Showcase 2: Shape comparison on representations of 3D printed product designs

10:15-10:45

Showcase 3: Ontology extraction using Wikipedia

10:45-11:10

Break

11:10-12:10

Hands-on Break-out Sessions

12:10-12:30

Q&A, Concluding Remarks, Feedback and Informal Discussion



Organizers

Mahmood Shafeie Zargar
Vrije Universiteit Amsterdam
Netherlands

Harris Kyriakou
IESE Business School
Spain

Yegin Genc
Pace University
USA