Using Hybrid Search and Query for E-discovery Identification

  • Authors:
  • Dave Grosvenor;Andy Seaborne

  • Affiliations:
  • Hewlett-Packard Laboratories, Bristol;Hewlett-Packard Laboratories, Bristol

  • Venue:
  • ISWC '09 Proceedings of the 8th International Semantic Web Conference
  • Year:
  • 2009

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Abstract

We investigated the use of a hybrid search and query for locating enterprise data relevant to a requesting party's legal case (e-discovery identification). We extended the query capabilities of SPARQL with search capabilities to provide integrated access to structured, semi-structured and unstructured data sources. Every data source in the enterprise is potentially within the scope of e-discovery identification. So we use some common enterprise structured data sources that provide product and organizational information to guide the search and restrict it to a manageable scale. We use hybrid search and query to conduct a rich high-level search, which identifies the key people and products to coarsely locate relevant data-sources. Furthermore the product and organizational data sources are also used to increase recall which is a key requirement for e-discovery Identification.