NetOwl NameMatcher, the winner of the MITRE Multicultural Name Matching Challenge, offers the most accurate, fast, and scalable name matching available. Using a revolutionary machine learning-based approach, NetOwl addresses complex name matching challenges.
NetOwl TextMiner is a powerful text mining solution that enables users to find, organize, analyze, and mine a large volume of unstructured information. TextMiner integrates state-of-the-art data analysis tools within a robust, scalable architecture. The user gains quick access to all and only high-value information by means of an innovative and easy-to-use Web-based interface that promotes the rapid navigation of large amounts of textual data. It is ideal for supporting 'what if' analysis, discovery, quick response investigation, and detailed research.
NetOwl EntityMatcher provides accurate, fast, and scalable identity resolution based not only on similarities of the entity names but also other key entity attributes such as date of birth, place of birth, address, and nationality. Identity resolution can also be based on social network information such as employer, spouse, associate, etc.