Full title: LivingKnowledge – Facts, Opinions and Bias in Time
Acronym: LivingKnowledge
Type of funding scheme: Large-Scale Integrating Project (IP)
Seventh Framework Programme, ICT Call 3 – FET proactive 6: ICT Forever Yours
Grant agreement n. 231126
Name of the coordinating person: Fausto Giunchiglia
Knowledge and its articulations are strongly influenced by diversity in, e.g., cultural backgrounds, schools
of thought, geographical contexts. Judgements, assessments and opinions, which play a crucial role in
many areas of democratic societies, including politics and economics, reflect this diversity in perspective
and goals. For the information on the Web (including, e.g., news and blogs) diversity - implied by the
ever increasing multitude of information providers - is the reason for diverging viewpoints and conflicts.
Time and evolution add a further dimension making diversity an intrinsic and unavoidable property of
knowledge.
The vision inspiring LivingKnowledge is to consider diversity an asset and to make it traceable,
understandable and exploitable, with the goal to improve navigation and search in very large
multimodal datasets (e.g., the Web itself). LivingKnowledge will study the effect of diversity and time on
opinions and bias, a topic with high potential for social and economic exploitation. We envisage a future
where search and navigation tools (e.g., search engines) will automatically classify and organize opinions
and bias (about, e.g., global warming or the Olympic games in China) and, therefore, will produce more
insightful, better organized, easier-to-understand output.
LivingKnowledge employs interdisciplinary competences from, e.g., philosophy of science, cognitive
science, library science and semiotics. The proposed solution is based on the foundational notions of
context and its ability to localize meaning, and the notion of facet, as from library science, and its ability
to organize knowledge as a set of interoperable components (i.e., facets). The project will construct a
very large testbed, integrating many years of Web history and value-added knowledge, state-of-the-art
search technology and the results of the project. The testbed will be made available for experimentation,
dissemination, and exploitation.
Keywords: Diversity, bias, time and evolution, opinions, context, facets, pattern recognition, knowledge
management, search.