KSL conducts research in the areas of knowledge representation and automated reasoning in the Artificial Intelligence Laboratory of the Department of Computer Science at Stanford University. Current work focuses on enabling technology for the Semantic Web, hybrid reasoning, explaining answers from heterogeneous applications, deductive question-answering, representing and reasoning with multiple contexts, knowledge aggregation, ontology engineering, and knowledge-based technology for intelligence analysts and other knowledge workers.
"MusicGraph.ai is the first web-based graph analytics and intelligence engine for the music industry. The platform gives MusicGraph API users access to a comprehensive library of powerful algorithms that can be leveraged to extract even more value from the world's most extensive repository of music data. It's also fully integrated with MusicGraph allowing users to view all the relevant metrics surrounding API usage."
"MusicGraph.ai is the first web-based graph analytics and intelligence engine for the music industry. The platform gives MusicGraph API users access to a comprehensive library of powerful algorithms that can be leveraged to extract even more value from the world's most extensive repository of music data. It's also fully integrated with MusicGraph allowing users to view all the relevant metrics surrounding API usage."
The DARPA Agent Markup Language (DAML) Program officially began in August 2000. The goal of the DAML effort is to develop a language and tools to facilitate the concept of the Semantic Web. Michael Pagels is the DARPA Program Manager for DAML. The DAML program will end in early 2006.
ai-one™ - biologically inspired intelligence. We sell software development kits (SDKs) for machine learning applications. We give programmers a virtual brain so they can build artificial intelligence into any software application. Unlike other machine learning tools, our technology works in any language, works with any data and learns quickly without human intervention.
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.
The first Semantic Engine that learns
Add a semantic flavor to your apps. With Meaningtool you can create your own Semantic Trees and let its intelligence learn new concepts to filter and categorize websites, text and users in any language!
"Hey there! I'm a robot brain. I learn concepts by searching the Internet. I can interpret natural language text, images, and videos. I watch humans with my sensors and learn things from interacting with them. Here are a few things I've learned recently..."
The objective of INSEMTIVES is to bridge the gap between human and computational intelligence in the current semantic content authoring R&D landscape. The project aims at producing methodologies, methods and tools that enable the massive creation and feasible management of semantic content in order to facilitate the world-wide uptake of semantic technologies.
"KBpedia is a comprehensive knowledge structure for promoting data interoperability and knowledge-based artificial intelligence, or KBAI. The KBpedia knowledge structure combines six (6) public knowledge bases - Wikipedia, Wikidata, OpenCyc, GeoNames, DBpedia and UMBEL - into an integrated whole. KBpedia's upper structure, or knowle"
"Extract Meaning from your Text.
The TextRazor API helps you extract and understand the Who, What, Why and How from your legal documents with unprecedented accuracy and speed."
"Nigel - From Smart to Intelligent
Nigel is the world's first real Artificial General Intelligence (AGI). Nigel is an engine that synthesizes and connects smart things to create intelligence."
ARTIFICIAL INTELLIGENCE
Participate in cutting-edge artificial intelligence, machine reasoning, knowledge modeling, and natural language processing research initiatives.