logo

 

LivingKnowledge goal is to bring a new quality into search and knowledge management technology for more concise, complete and contextualised search results.

 
  • Home
  • About
    • Mission
    • References
    • Expected Outcome
    • Interdisciplinarity
    • Testbed
    • Application Scenario: Media Content Analysis
    • Application Scenario: Future Predictor
    • Partners
    • Open positions
    • Expected Results
    • Contacts
  • News
  • Publications
  • Video
  • Areas
 
rss
 
 

Mission

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.

read more

Application Scenario: Future Predictor

This scenario implements our future predictor application, built on top of the testbed, which searches for future predictions (plans or estimates) in current documents, tracks them over time and supports reasoning on the impact of such future predictions. 

read more

latest news

LK technologies released

LK Partners are pleased to share some of the project outcomes.

...

Verb Classification using Distributional Similarity in Syntactic and Semantic Structures

The paper “Verb Classification using Distributional Similarity in Syntactic and Semantic Structures” concerns with semantic parsing the extraction of predicate argument structure: for this purpose, automatic verb classification is a necessary step. Co-written by D. Croce, A. Moschitti, R. Basili and M. Palmer, it will be published in the Conference for the Association for Computational Linguistics, (ACL). Jeju, Korea, 2012.

...

Modeling Topic Dependencies in Hierarchical Text Categorization

The paper “Modeling Topic Dependencies in Hierarchical Text Categorization” discusses about automatically learning from the structure of a text categorization hierarchy to better classify documents.This is a step towards knowledge evolution since it shows how to learn the structure and thus possibly its evolution. Co-written by A. Moschitti, J. Qi and R. Johansson, it will be published in the Conference for the Association for Computational Linguistics, (ACL). Jeju, Korea, 2012.

...

ImageTerrier: An extensible platform for scalable high-performance image retrieval

The paper “ImageTerrier: An extensible platform for scalable high-performance image retrieval” co-written by J.Hare, S. Samangooei, D. Dupplaw and P. Lewis wil be published in The ACM International Conference on Multimedia Retrieval (ICMR 2012), 5-8 June 2012, Hong Kong.

...

Symposium on Bias and Diversity in IR

The Symposium on Bias and Diversity in IR at 8th European Summer School on Information Retrieval (DIV-2011) took place in colocation of the LivingKnowledge Summer School in Koblenz, Germany, on August 29 - September 02, 2011.

...

First LAWA User Workshop in Paris

The first Workshop on LAWA project on Longitudinal Analytics of Web Archive data took place at CNAM (Conservatoire des Arts et Métier) in Paris, France, on November 30, 2010

...

 
see all news
 
 
 

The LK project is funded by the European Commission under Project No. 231126

legal contacts Login