Search 2008

Enterprise Search Engine Overview

By Richard Freeman

Abstract

IBM estimates that over 80% of the content generated and used by an enterprise is unstructured information such as documents, web pages, images, videos, emails, voicemails and numerous other formats. With the proliferation of digital data and content, it becomes obvious that this content is also considerably growing every year. With the transition from paper based files to digital content, it has become apparent that a need to quickly and efficiently access this content is critical for not just business needs, but in general enhances the quality of life for everyone. For example, Doctors can access patient records quickly, databases and maps of almost every locale on earth makes it difficult to get truly lost.
At the business level, the dramatic increase in content creates a situation where it is difficult to sort, classify and particularly important, find relevant and contextual data. Thus Enterprise Search tools are evolving to a state that helps automate the typical resource intensive aspects of classifying important data. An efficiently deployed Enterprise Search can help do this whilst potentially preventing costly litigations for non-compliance. It can also help enhance user satisfaction and productivity, as well as possibly identify valuable content that would have otherwise been missed.

This document provides a short overview of Enterprise Search, looking at the current leading Enterprise Search vendors, and highlighting their differences with Web Search. Other areas such as the integration with existing infrastructure, taxonomies, classification, clustering, user interaction, and security are also covered.

Keywords

Information retrieval, social networking website, social networks, Web 2.0, semantic web, search engine optimization, document clustering, self-organizing maps, topological tree, neural networks, post retrieval clustering, taxonomy generation, enterprise content management, enterprise search,
information management.

Bibliographic Details

@inproceedings{freemanSearch08,
   Author = {Freeman, Richard T.},
   Title = {Enterprise Search Engine Overview},
   BookTitle = {Internal Capgemini White Paper},
   Address= {London, UK},
   Publisher = {Capgemini},
   Pages = {1-8},
   Year = {2008}
}