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Project Name: MediaCampaign: Discovering, inter-relating and navigating cross-media campaign knowledge
Abbreviation: MediaCampaign Start date:
April 1, 2006 End date:
April 1, 2009 Project Description:
Knowledge about which competitor company has invested how much money
in a specific media campaign is very important for the highest
management level of companies. Such information is gathered through
global advertisement expenditure measurement, which is performed by
media monitoring companies. This type of business intelligence is a
very complex task, which is currently performed manually and therefore
is very expensive.
A media campaign is defined as the universe of measures in order to
fulfil a specific objective. MediaCampaign's scope is on discovering,
inter-relating and navigating cross-media campaign knowledge and to
automate a large degree of the detection and tracking of media
campaigns on television, Internet and in the press. For the pilot
system developed within the project the project focus is on a concrete
example for a media campaign: advertisement campaigns. However, the
approach taken and the component implementations will allow easy setup
of a system for monitoring and analysis of other campaigns (e.g.
political and social ones).
In order to get the information as fast as possible the currently
manual process to acquire the necessary data will be significantly
accelerated by the MediaCampaign framework. Scientifically there are a
number of high-risk research objectives to meet:
(1) creation of a knowledge model for semantic description of media
campaigns in general,
(2) identification & tracking of new media campaigns in different
media and
(3) modelling of domain specific ontologies which relate media
campaigns over different media and countries.
In coherence with these scientific objectives R&D work carried out
within MediaCampaign includes the design and implementation of a
specific media campaign ontology (media presence & campaign ontology –
MEPCO), a module for cross relation of specific campaigns, algorithms
for detecting advertisements over different media (utilizing different
modalities), audio analysis algorithms and the detection plus tracking
of new campaigns.
In addition the R&D work will be concentrated on exploitation of
semantic web technologies with a focus on querying and navigating
within multi dimensional information spaces. In connection with cross
relation a unique innovative approach will be followed by combining
formal modelling of media campaigns with semantic content
consolidation and reasoning and large-scale knowledge bases. With
regard to audio analysis R&D work will be concentrated on
segmentation, word spotting, dedicated speech to text modules and
jingle recognition.
In order to relate media campaigns over the different media TV, press
and Internet we adopt the following innovative algorithm: use speech
transcripts and OCR techniques to receive (noisy) text from A/V
content, apply terminology identification and unsupervised clustering
techniques for decision of most significant text parts, use those
parts for a focussed web search and process the results of this search
with IE methods in order to spot whether the campaign is new or not.
Participants: Joanneum Research (Austria), Nielsen Media Research
(UK), University of Sheffield (UK), ONTOText lab Sirma Al EAD (BG),
University of Twente (NL), HS-ART Digital Service Gmbh (A), Softeco
Sismat (I), TNO (NL)
HMI Project Manager for MediaCampaign: Franciska de Jong |
The following HMI-member(s) is/are coordinator of this Project
Franciska de Jong
Here you can find the publications
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