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MediaCampaign - Discovering, inter-relating and navigating cross-media campaign knowledge

MediaCampaign's scope was on discovering, inter-relating and navigating cross-media campaign knowledge. A media campaign is a collection of advertisements semantically belonging together, across different countries and different media. The project's main goal was to automate to a large degree the detection and tracking of media campaigns on television, Internet and in the press.

Impact

For the pilot system developed within the project the focus was on a concrete example for a media campaign: advertisement campaigns. An advertisement campaign consists of a number of single advertisements ("creatives" in business jargon) on the same product issued in different media and/or countries. For example a new car model is introduced into the market, then the campaign for this introduction will include all creatives issued for this car model in different media such as press, TV and Internet. The system was designed in such a way that it can be also extended later on to monitor and analyze also other campaigns such as political campaigns. Hence a major technical objective is to design the system architecture as flexible as possible by using well defined interfaces and utilizing standards for all components where possible.

MediaCampaign results will lead to new business cases in media monitoring and analysis, and positively impact the European media monitoring sector. In support of this goal, the project addressed the following objectives:

Main innovation

Within the project the target was media press, TV and Internet. Within this media up to four modalities were analyzed and combined (image, video, text, audio) and three languages - German, Dutch and English.

Scientifically MediaCampaign discovered three main innovations as given below.

  1. Ontology for cross-media modelling of media presence and campaigns
    Media Presence and Campaign Ontology (MEPCO) will be defined, allowing for modelling of media campaigns, including media presence information. MEPCO will have a general cross-media level, extended with fine-grained specifications for the different media. Overall, the project will exploit the advantage of the Semantic Web technologies to model, manage, query and navigate within multi-dimensional information spaces with non-linear dimensions.
  2. Semantic cross-market product data interlinking
    Due to cultural differences and national market specifics similar or analogous products are branded and marketed differently across the countries. This will be handled through semantic representation and mapping of brand and product related data (catalogues, feature-related terminology, etc.). MEPCO will allow for extension with domain ontologies specific to particular markets and cross-linking artefacts (e.g. products) between those.
  3. Identification & tracking of new media campaigns in different media and countries
    This will be realized by combined multimodal analysis of the media content (text, audio and video), usage of a semantic media store to consolidate and query the analysis results and all the related materials, and detection and tracking of campaigns based on heuristic patterns and statistical analysis of "popularity" timelines and "media distance" metrics.
Benefits

MediaCampaign aimed to offer cost reducing and efficiency enhancing solutions by automating the currently mostly manually performed media monitoring process as much as possible.

Primarily targeted end-users were Media Information Firms active in the advertising, news and music information markets, that capture, monitor, archive, and analyze media information to serve clients' needs. The system provides:

The results of the project can likewise be easily used in similar applications, for instance analysis of Socio-Economic campaigns, political campaigns, anti-drug campaigns or Public Relation. In the latter case, applying the same approach as for the new campaign, media monitoring companies will try to identify specific pattern of information, like the positive/negative mention regarding any entity (a company, a politician or a football player), using similar information already classified and stored in a repository. Together with the positive/negative mention, they can classify the context where the mentions appear.

More details
Administrative Details
List of participants
Contact person
Co-ordinator:
Dr. Herwig Rehatschek
Institute of Information Systems & Information Management
JOANNEUM RESEARCH Forschungsgesellschaft mbH
Events in connection with MediaCampaign

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