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Abstract:
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. In doing so, it goes
the opposite way of information extraction approaches – starting
with ontological facts and tracing their way back to the documents
they were extracted from. ROXXI offers interfaces for expert users
(SPARQL) as well as for non-experts (ontology browser) and provides
a ranked list of documents each associated with a content
snippet highlighting the queried facts in context. At the demonstration
site, we will show the advantages of this novel approach
towards document retrieval and illustrate the benefits of reviving
the documents that information extraction approaches neglect.
