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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.

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!

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.

"Semantic Scholar is a free, nonprofit, academic search engine from AI2."

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.

"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"

semantic processing with Cogito Intelligence API. State of the art software, Cogito Intelligence API can decipher the meaning and context in processed data, distinguishing between various streams and high volume Intelligence information. Cogito Intelligence API goes beyond keyword or statistics based solutions to resolve ambiguities in data, allowing you to exploit strategic sources of information.

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.

"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..."

AI-Powered, Intelligent Search Give intelligent results customers want to find when they search your website by providing relevant answers based on meaning, not typed keywords.

"Loom is a language and environment for constructing intelligent applications. The heart of Loom is a knowledge representation system that is used to provide deductive support for the declarative portion of the Loom language. Declarative knowledge in Loom consists of definitions, rules, facts, and default rules. A deductive engine called a classifier utilizes forward-chaining, semantic unification and object-oriented truth maintainance technologies in order to compile the declarative knowledge into a network designed to efficiently support on-line deductive query processing."

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.

OpenCyc is back and better than ever! OpenCyc 2.0 is now available for download from SourceForge. You can also download OWL versions of the OpenCyc ontology, or search for and access OpenCyc content on the semantic web, accessing Cyc concepts via their URIs, at sw.opencyc.org.

"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."

"BlenderBot 2.0: An open source chatbot that builds long-term memory and searches the internet"

"We are a small interdisciplinary team determined to bring novel technology and useful products to the world."

"Evidence-Based Answers, Faster"

"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."