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UBY is a large-scale lexical-semantic resource for natural language processing (NLP) based on the ISO standard Lexical Markup Framework (LMF). UBY combines a wide range of information from expert-constructed and collaboratively constructed resources for English and German. Currently, UBY holds structurally and semantically interoperable versions of nine resources in two languages:  English WordNet, Wiktionary, Wikipedia, FrameNet and VerbNet,  German Wikipedia, Wiktionary and GermaNet, and multilingual OmegaWiki. 

The semantic mapping of the English language is the key to making Natural Language Processing (NLP) effective. Cognition's unique Semantic Map, which it built over the past 24 years, is the most comprehensive and complete map of the English language available today. It can be used in support of the Semantic Web for semantic search, search tools, business analytics, machine translation, document search, context search, and much more.

The semantic mapping of the English language is the key to making Natural Language Processing (NLP) effective. Cognition's unique Semantic Map, which it built over the past 24 years, is the most comprehensive and complete map of the English language available today. It can be used in support of the Semantic Web for semantic search, search tools, business analytics, machine translation, document search, context search, and much more.

The semantic mapping of the English language is the key to making Natural Language Processing (NLP) effective. Cognition's unique Semantic Map, which it built over the past 24 years, is the most comprehensive and complete map of the English language available today. It can be used in support of the Semantic Web for semantic search, search tools, business analytics, machine translation, document search, context search, and much more.

WordNet® is a large lexical database of English, developed under the direction of George A. Miller. Nouns, verbs, adjectives and adverbs are grouped into sets of cognitive synonyms (synsets), each expressing a distinct concept. Synsets are interlinked by means of conceptual-semantic and lexical relations. The resulting network of meaningfully related words and concepts can be navigated with the browser. WordNet is also freely and publicly available for download. WordNet's structure makes it a useful tool for computational linguistics and natural language processing.

How can we provide access to information services that are available only in English(or Dutch, German, French, etc.) to people who do not speak this language, or not good enough to understand everything they need to know? Monnet will be concerned with providing solutions for this, using a novel combination of automatic machine translation and Semantic Web technology. The project is a joint effort between four European research institutes, German software giant SAP, Dutch company Be Informed - specializing in knowledge-based solutions for public sector information services - and standardization organisation XBRL-Europe - defining the standard for financial and business reporting across Europe.

Infomail.ai: Infomail is an email marketing platform that uses Artificial Intelligence to generate texts and translate them into English (infomail.ai).

The AIFB Web Portal is the public web site of the Institute of Applied Informatics and Formal Description Methods (AIFB) at Karlsruhe Institute of Technology. It uses Semantic MediaWiki to provide a highly customised Content Management System. The site provides content in two languages (German and English), and it offers rich views for browsing different kinds of data. The content of the AIFB Web Portal is regularly edited by most members of the institute, from secretary to professor, but it is not open for public editing.

Overview When people communicate, they rely on a large body of shared common sense knowledge in order to understand each other. Many barriers we face today in artificial intelligence and user interface design are due to the fact that computers do not share this knowledge. To improve computers' understanding of the world that people live in and talk about, we need to provide them with usable knowledge about the basic relationships between things that nearly every person knows. In 1999, we began a project at the MIT Media Lab to collect common sense from volunteers on the internet. Ten years later our project has expanded to encompass many different areas, languages, and problems. Currently, the English site has over a million sentences from over 15,000 contributors.

Searching English Wikipedia

Semantic matching is a type of ontology matching technique that relies on semantic information encoded in lightweight ontologies to identify nodes that are semantically related. Given any two graph-like structures, like classifications, database or XML schemas and ontologies, matching is an operator that identifies those nodes in the two structures which semantically correspond to one another. For example, applied to file systems it can identify that a folder labeled "car" is semantically equivalent to another folder "automobile" because they are synonyms in English. This information can be taken from a linguistic resource like WordNet.

A Wiki for Business Rules in Open Vocabulary, Executable English™ -- Shared use is free

The Thesaurus Project of the Geological Survey of Austria attempts the task of the construction of a controlled vocabulary for the semantic harmonisation of map-based geodata. The content-related realization of this project is governed by the Thesaurus Editorial Team, which consists of thematic experts from the Geological Survey of Austria. Currently there are 4 thematic thesauri available which reflect the basic information of geological maps: lithology, geologic timescale, geologic and tectonic units. All thesauri are available in both German and English* via an open web-application and standardised service interface.

'We're releasing an API for accessing new AI models developed by OpenAI. Unlike most AI systems which are designed for one use-case, the API today provides a general-purpose "text in, text out" interface, allowing users to try it on virtually any English language task. You can now request access in order to integrate the API into your product, develop an entirely new application, or help us explore the strengths and limits of this technology.'

MultiWordNet is a multilingual lexical database in which the Italian WordNet is strictly aligned with Princeton WordNet 1.6.

Profium develops and markets content management systems based on Semantic Web technologies.