See this entry for more information on the exact differences between focalized and exploratory search: http://zylab.wordpress.com/2010/03/26/understand-the-two-different-faces-of-search-exploratory-search-and-focalized-search/ )
One of the properties of taxonomies that are used for faceted or exploratory search (see http://zylab.wordpress.com/2010/03/26/understand-the-two-different-faces-of-search-exploratory-search-and-focalized-search/ for more information) is that they need to be constructed of different (multi-dimensional) classification schemes
For example, exploratory search for early case assessment and processing large collections of email in a defensible and auditable way can be a significant challenge
Early Case Assessment with the right type of exploratory search techniques (text and content analytics, fuzzy, wildcard, faceted, proximity, quorum, concept search, data visualization, relevance ranking and many other tools, see also: http://zylab.wordpress.com/2010/09/23/what-is-the-term-%e2%80%98early-case-assessment%e2%80%99-really-about/ ) Web based Legal Review and redaction tools for 3 rd parties Legal Production tools that are capable to generate the main legal review formats
generate more information in one day than a whole company will read in a life time. Smart exploratory search, content analytics and text mining can help us to categorize and classify documents faster, but the real solution is to limit (or at least control) the explosive growth of the data collections
So, 25% of the time, they could not find the information they needed or they had to make a decision based on incomplete information. Proper exploratory search ( http://zylab.wordpress.com/2010/03/26/understand-the-two-different-faces-of-search-exploratory-search-and-focalized-search/ ) can make a huge difference here
Text mining (both statistical and linguistic) and other exploratory search types such as faceted search (http://zylab.wordpress.com/2010/05/28/faceted-search-how-to-go-from-a-static-to-a-dynamic-taxonomy/) have contributed significant to the usability of search interfaces. 15 years ago, there was not enough electronic data to train the statistical algorithms and there was not enough coverage of languages to implement proper disambiguation of, for instance, pronouns, co-references and entity boundaries (http://zylab.wordpress.com/2010/04/28/how-to-find-more/). 3
By having all relevant documents searchable with a powerful exploratory search engine (http://zylab.wordpress.com/category/enterprise-search/), this goal can be achieved rather simply
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In addition to this very advanced technology, there are many other exploratory search techniques to implement an Early Case Assessment without having to review all documents first (see also: http://zylab.wordpress.com/2010/04/28/how-to-find-more/): 1
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