LivingKnowledge goal is to bring a new quality into search and knowledge management technology for more concise, complete and contextualised search results.
The paper “ROXXI: Reviving witness dOcuments to eXplore eXtracted Information” co-written by S. Elbassuoni, K. Hose, S. Metzger, R. Schenkel has been presented at the 36th International Conference on Very Large Data Bases (VLDB 2010) in Singapore, on September 13th - 17th, 2010.
In recent years, there has been considerable research on information extraction and constructing RDF knowledge bases. In general, the goal is to extract all relevant information from a corpus of documents, store it into an ontology, and answer future queries based only on the created knowledge base. Thus, the original documents become dispensable. On the one hand, an ontology is a convenient and non-redundant structured source of information, based on which speciﬁc queries can be answered efﬁciently. On the other hand, many users doubt the correctness of facts and ontology subgraphs presented to them as query results without proof. Instead, users often wish to verify the obtained facts or subgraphs by reading about them in context, i.e., in a document relating the facts and providing background information. In this demo, we present ROXXI, a system operating on top of an existing knowledge base and reviving the abandoned witness documents.