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.

A KBucket page is a place to organize and publish your research.  The practice is known as content curation.  You can curate for yourself and people like you, or you can curate to promote your ideas and knowledge.  KBucket lets you manage the context of your information, which means the grouping, the tags and the meta tags.  All KBucket pages are hosted on the KBucket search platform.

Find relevant images of Trending Topics in realtime / Nachofoto is a Semantic Time-based Vertical Image Search Engine. Our focus has been to deliver Fresh and Relevant image results for High Volume and Trending queries. Our goal is to change the way people interact with image search engines.

Semantic Information Discovery, browsing and sharing

The ctrl semantic engine is the first product of the Research and Development group at PRAGMATECH. The main functionality of ctrl's API is to identify the set of (disambiguated) key topics. In ctrl we have moved from words to concepts, then from simple concepts to topics (which are not phrases, but complex 'disambiguated' concepts), and, subsequently, to key topics that represent what a certain document is about.

Searching 277 schema descriptions including FOAF - Friend of a Friend , Dublin Core Elements and Dublin Core addresses audio bibliographic biology books broadcast calendars calls citations classification collections commerce conferences

Quick and Dirty RDF browser

Your Taste Engine for movies and TV shows ...

SIREn: Efficient semi-structured Information Retrieval for Lucene

Scanning 31,000 + sources around the Globe....

from hakia.com

Semantic Web Search Engine

Search and explore over 4 billion RDF statements from various sources including UniProt, PubMed, EntrezGene and 20 more...Perform complex SPARQL queries and retrieve more than 500 million RDF resources.