LivingKnowledge goal is to bring a new quality into search and knowledge management technology for more concise, complete and contextualised search results.
Posted February 17, 2010Applications
The second application developed on top of the testbed is the Media Content Analysis scenario. The main task to be supported in this scenario is to analyse and summarize media/web presence both text and multimedia, for a company, person or initiative, both in quantitative as well as in qualitative terms.
Such an analysis tries to answer the following questions:
* How successful and visible are public relations strategies and actions, sponsoring activities, regarding media presence and opinion?
* What are the images/opinions expressed in both edited content (like news) and user generated content, regarding the company itself, its leading actors or specific products?
* How is the company represented on the Web in relation to its competitors?
Specific examples could look like the following:
* A company invests money for sponsoring a F1 racing team with the aim of increasing brand awareness and image. Analysis of textual and multimedia information might discover that, contrary to what was expected, the general opinion of customers is that F1 cars are polluting and damaging the environment and, for this reason, creating a bad image of the company.
In an election, a candidate might want to find out what a competitor says about her so the system should harvest the web to find all claims that this competitor made with respect to her, and present an overview of main discussion points so that the candidate is aware of them and can respond effectively.
* The green party might want to analyse public opinion on global warming, as well as the visibility and success of initiatives on this topic, in the general public, using both textual and visual evidence.