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TextMap is a search engine for entities: the important (and not so important)people, places, and things in the news. Our news analysis system automatically identifies and monitors these entities, and identifies meaningful relationships between them.

START, the world's first Web-based question answering system, has been on-line and continuously operating since December, 1993. It has been developed by Boris Katz and his associates of the InfoLab Group at the MIT Computer Science and Artificial Intelligence Laboratory. Unlike information retrieval systems (e.g., search engines), START aims to supply users with "just the right information," instead of merely providing a list of hits. Currently, the system can answer millions of English questions about places (e.g., cities, countries, lakes, coordinates, weather, maps, demographics, political and economic systems), movies (e.g., titles, actors, directors), people (e.g., birth dates, biographies), dictionary definitions, and much, much more. Below is a list of some of the things START knows about, with example questions. You can type your question above or select from the following examples.

Your Taste Engine for movies and TV shows ...

The Internet Answer Engine

"Hello! I'm Andi, your smart search assistant. The more detailed your question, the better I can help

Our leading semantic engine, CTRL, tracks your subject of interest by fetching relevant news from the top news sources online saving you time by delivering only relevant articles (summary and original link) straight to your email.

Real-Time Faceted Search is a journey; a journey that enables you to easily tell the internet what you're looking for and let the internet find it for you. It starts with the same key word everyone is familiar with, but then guides the user through a series of contextual prompts, or 'facets', that eventually build out a more 'complex query' more powerful than that of typical keyword search. Through the use of a number of GUI techniques, the user is able to either select or fill in elements of this query in intuitive ways with all the code crunching being hidden in the background. The query can then be run over mashed up linked data sources. This enables the everyday user to build out these deep queries over linked data and receive much more relevant results.

"Omnity is based on fundamental advances in associative semantic search technology, through which we create landscapes of meaning-based relationships arising from the semantic signatures of entire documents. In this manner, the knowledge contained within whole documents can be deeply inter-connected, solely through shared ideas."

Semething New! 1 click for 10 searches ...

Next Generation Big Data Analytics & Collaboration Engine

"Open-Source Semi-Structured Information Retrieval Engine"

Precision Search & Find