Finding what you Search for

When searching for information, it’s not the “search” that’s important, it’s what you find. According to the analyst firm Gartner, what we once knew as search, is not just search anymore. In fact, it now uses the term “information access” to include a collection of technologies to help you find information, such as:

• content classification, categorization and clustering
• fact and entity extraction
• taxonomy creation and management
• information presentation (for example visualization)

Many of the tools around extraction, classification, and categorization of records remain supplementary to the essential task of organizing information. There are three main ways in which people look for information:

• Pattern Matching – using search criteria with the same physical attributes as the sought after information, such as keyword searching. Pattern matching requires that the found information contains the words or phrases in certain parts (e.g. the title, author, content), and possibly that certain words exists close to each other (e.g. clustering).
• Semantic Web Navigation – an artificial “web” of data that allows machines to understand the semantics, or meaning, of information. Relationships between discrete pieces of information are identified, usually in some sort of visual representation.
• Classified or Categorized, that which is organized by topic browsing. – This is where we use classification taxonomies and related structured organizations of information.

While only the first approach relies exclusively on “search”, the line between search and browse (either by link or by structure) blurs more every day, as clustering and guided navigation enable new ways for lawyers to facilitate useful access to large repositories. At the end of the day, all three approaches rely heavily on metadata. Clearly, to access information properly, first you need to organize it properly.

​Wortzman Nickle has spent considerable resources analysing and employing various information access technologies in an effort to maximize data analysis and review efficiencies. For more information, contact us.