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Full Text Search Solutions
Data at Your Fingertips with Full Text Search Solutions

Even the smallest business regularly accumulates a large amount of data that must be managed and accessed easily. Full text search is a data query and retrieval technique used to search through your digital documents or databases. It is faster and more powerful than regular search methods, allowing businesses to find and retrieve important data more quickly to enhance Business Intelligence.

  • Multi-document searches – Sometimes desired data resides within formatted files (.doc, .pdf, .zip, .html, etc.) and often regular searches are unable to search certain file types. Even if they are able to, each and every word cannot be inserted in a database as plain text. But full text searches can help searches on all such large electronic documents.
  • More accurate searches – Full text searches index each word of large documents, making the entire content searchable, regardless of the file type. It also takes into account linguistic variants.
  • Faster searches – The database indexing method of full text searches optimizes the way searches are performed – tremendously increasing performance speed even under heavy load conditions.
  • Powerful search queries – Using SQL queries, users can better describe search directions which retrieve data that has been indexed to a database. The syntax best adheres to the natural way humans search for information.

Current technology trends have made full text search much easier to install and use, and more applicable to a wider range of business practices.

E-Commerce : Search for items on a website based on a variety of descriptive factors. Media apps can search for videos and files based on occurrences of specific words in a domain.

Medical Research : Match symptoms with diagnostic information and patient cases.

Law Firms : Search for case histories in a legal-data repository.

Human Resources : Match job descriptions with stored resumes.

The Full Text Search Process

In general, a full text search solution extracts the content from digital documents and indexes this data into a database where it can be searched faster, more accurately, and with more powerful queries.

Indexing Process
  • Documents of any file type are uploaded to the FTS process
  • A filter breaks the extracted text into a sequence of words
  • The words are handed to the indexer and noise words (like “a,” “the,” “and,”) are filtered out
  • An inverted index is created with each word associated with the column it was found in
Query Process
  • Search filters out noise words (like “a,” “and,” “the,” etc.)
  • Built-in thesaurus finds linguistic variants for each word (such as verbs in different tenses)
  • The result is compared to the inverted index
  • A rank of accuracy is assigned is computed and assigned to the results
  • The results are returned to the client in rank order
AmulTek’s Full Text Search Solution for Your Business

AmulTek can help you implement a full text search solution that seamlessly deploys into your organization’s existing architecture. Our full text search solutions are reliable, significantly reduce hardware requirements, operate under heavy load conditions, and are easy to maintain with minimal overhead.

AmulTek can cater to your business by using an open source of licensed full text search solution:

  • MySQL Server
  • Solr
  • Lucene
  • MyISAM
  • Endeca

To learn more about how these different full-text search solutions, check out this discussion of full text searches here:

Portfolio

Media Project : AmulTek implemented an advanced full text search solution to assist with the IQMedia Project. This solution was designed to search through Closed Caption (CC) documents for a large number of captured videos. The solution was implemented by indexing all the CC documents via the open source full text search engine, Solr. As a result, users can perform enhanced search queries and easily retrieve data regarding captured video captions.

 
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