Past Seminars

Friday Talk - 5 April 2013

Date: 
April 5th 2013

An institute meeting will take place on Friday 5th April  at 3pm in the Main Conference Room. Maulik Kamdar will give the presentation.

SEMGEL, a semantic technology based data analysis tool

Date: 
March 8th 2013

Semgel is a web app to gather and analyze data from a selection of public websites.

Foundations of RDF Triple Storage & Querying: Hexastore and RDF-3x.

Date: 
February 20th 2013

Sometimes triple storage is overlooked when designing semantic
applications. It is one of the modules that almost always appears in the
architecture labeled "Triple Store" or "SPARQL Endpoint" and developers
assume that will work just fine. However, designing these systems is a
challenging task: the requirements of final applications are
increasingly demanding each day, not only in terms of data volume but
also on the complexity of the queries and expected response time.

In this talk we will review some of the main basic concepts behind the
design of these data stores by presenting two highly influential papers
in the field: Hexastore, that proposes an internal organization of the
data by using multiple indices over the list of RDF statements; and
RDF-3x, that presents a simple yet powerful engine to improve query
performance optimization.

Institute Meeting - Friday 1st February

Date: 
February 1st 2013

This talk will give a short overview of the project with its major findings and outcomes, as well as briefly discuss future directions.

Finding Co-solvers on Twitter, with a Little Help from Linked Data

Date: 
January 23rd 2013

If you were ever thinking about finding the best collaborator for a
research project. Then you might have found it necessary to look for
experts in that domain...well, you should come to this talk.
The talk gives an overview of the main state of the art techniques for
user profiling and user recommendation on the Social Web and in
particular on Twitter. It also introduces an interesting novel approach
for co-solver recommendation leveraging the potentialities of Linked Data.

Can Tweets Predict Citations? Metrics of Social Impact Based on Twitter and Correlation with Traditional Metrics of Scientific Impact

Date: 
December 17th 2012

Tweets can predict highly cited articles within the first 3 days of
article publication. Social media activity either increases citations or
reflects the underlying qualities of the article that also predict
citations, but the true use of these metrics is to measure the distinct
concept of social impact. Social impact measures based on tweets are
proposed to complement traditional citation metrics. The proposed
twimpact factor may be a useful and timely metric to measure uptake of
research findings and to filter research findings resonating with the
public in real time.

Towards Automated Quality Models for Software Development Communities: the QualOSS and FLOSSMetrics case

Date: 
December 12th 2012

Software metrics and quality models play a pivotal role in measurement
of software quality. In this presentation, I will present state of the
art and comparison of different FLOSS quality models
(OpenBRR/QSoS/QualOSS/SQO-OSS). Most of the quality models available
today requires manual effort but the authors in this paper propose an
automated approach to calculate metrics and attributes.

How Novices Model Business Processes

Date: 
December 10th 2012

You might be interested in representing your
plans/solutions/methodologies using some design standards, but you are
not sure whether or not learning a modelling language is going to make
your life easier! It might be possible that using a custom made design
method is going to be sufficient.
This paper is going to clarify for you these interrogations and help you
determine what type of modeller you are and wehther you have good
quality design skills.

What can quantum theory bring to information retrieval?

Date: 
December 5th 2012

Recent works in information retrieval (IR) are exploring the application
of the principles and formalisms of quantum physics as representation
models for IR. The objective is to evolve beyond traditional vector
space models, which are at the center of IR, to a richer mathematical
representation for future IR systems. This new field, named Quantum
Information Retrieval (QIR), has already a solid community behind it and
it is a promising research direction for IR.
The objective of this talk is to introduce the basic concepts of Quantum
Information Retrieval. The paper of Piwowarski et al. is used as the
guiding reference in this introduction but other references will be used
to depict the landscape of this area. The talk is also going to briefly
describe connections between the formalism behind QIR and computational
linguistics.

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