Overview

The JackalFish® tool allows you to perform targeted semantic searches of disparate data sources using keywords, extracted phrases or paragraphs from target documents, common concepts, or defined ontology relationships. The JackalFish® tool applies ontology-assisted text mining and natural language processing methods in extracting knowledge from unstructured text sources.

In addition, the JackalFish® tool, using learning and self-adaptation mechanisms, reasons about the objects in the target domain and about relations among the search items, returning only those data artifacts or documents that are relevant to the search, including knowledge derived from predefined ontologies.  The tool’s ontology learning capability is based on a WordNet approach that was enhanced by KBSI using statistical and machine learning methods.

Features

	Structured and unstructured data searching
	Example based searching
	Ontology based indexing
	Ontology focused searching
	Knowledge-based searching
	Integrated application searching capability
	Patent Pending technology

The JackalFish® tool applies an innovative ontology driven search capability to significantly improve the cost, speed, and effectiveness of extracting and integrating knowledge from distributed, unstructured data sources, making it easier for enterprises to store, analyze, and share knowledge among their distributed teams.