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Helix: Entwining Structure into Web Search
In web search today, a user types a few keywords and gets back links to web pages
consisting of unstructured data. This leaves a lot to be desired for when there
is structure data stores or the user includes some structural semantics in their
query.
With our work we aim to allow web results to include information from structured
data sources ranging from fully relational databases, to flat tables and XML files
to hidden data accessible only via web forms. Additionally, we aim to automatically
extract semantics associated with structure from the query and use it improve relevance
of results.
Our techniques are generalized and applicable to many domains, such as shopping,
recipes, autos, real estate, travel and others. In fact, we have a created a collaboration
with the Live Search team and part of our work will
be included as an important piece of their platform in the upcoming release for
live search.
Page Last Updated: 07 March 2008
People
Primary Contact: Stelios Paparizos
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