Information Retrieval & Search Algorithms

Information retrieval is the task, given a set of documents and a user query, of finding the relevant documents. Information retrieval applications require speed, consistency, accuracy and ease of use in retrieving relevant texts to satisfy user queries. These evaluation criteria apply to other text interpretation applications as well.

• Accuracy: The sheer volumes of information now stored in electronic media magnify deficiencies in recall (the percentage of relevant information retrieved. Giving the user reasonable-sized response with high precision can mean missing hundreds of relevant texts.
• Speed : As the quantity of text that must be searched increases, the speed of searching can become a reserve bottleneck. In practical terms, the need for fast search means that more computational-intensive processing such as NLP techniques must either apply very selectively or run as "batch" indexing tool prior to retrieval.
• Consistency : Many information retrieval environments require indexing of the text by the groups of indexers or by the authors. This leads to a decrease in accuracy from the inevitable inconsistencies, which automatic processing could help to avoid.
• Ease of use : The growth of personal computer has mode obsolete the traditional model of information retrieval with a trained human intermediary, giving systems responsiveness a high priority.

NetOwl By IsoQuest

NetOwl is a family of information retrieval and data extraction software developed by IsoQuest cooperation. This software uses latest and most advanced Natural Language Processing Technology. Some of the members of this software family are as follows.

• Desktop
• Datablade
• Intelligence Server
• Extender
• Discovery Suite
• Extractor