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. © Springer-Verlag Berlin Heidelberg 2009.
CITATION STYLE
Grosvenor, D., & Seaborne, A. (2009). Using hybrid search and query for e-discovery identification. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 5823 LNCS, pp. 811–826). Springer Verlag. https://doi.org/10.1007/978-3-642-04930-9_51
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