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"the home of the Open Knowledge Foundation's Working Group on Open Data in Linguistics."

"The project's mission is to provide the basis for the creation of a Linguistic Linked Data cloud that can support content analytics tasks of unstructured multilingual cross-media content. By achieving this goal, LIDER will impact on the ease and efficiency with which Linguistic Linked Data will be exploited in content analytics processes. (Read 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.

The science of searching. W3lab is an applied research laboratory for Computational Linguistics, Information Retrieval and the Semantic Web.

'The Linguistic Data Consortium (LDC) is an open consortium of universities, libraries, corporations and government research laboratories. LDC was formed in 1992 to address the critical data shortage then facing language technology research and development.'

The Suggested Upper Merged Ontology (SUMO) and its domain ontologies form the largest formal public ontology in existence today. They are being used for research and applications in search, linguistics and reasoning. SUMO is the only formal ontology that has been mapped to all of the WordNet lexicon. SUMO is written in the SUO-KIF language. SUMO is free and owned by the IEEE. The ontologies that extend SUMO are available under GNU General Public License. Adam Pease is the Technical Editor of SUMO.

"The Sentikator is a computer linguistic engine designed to calculably recognize, analyze and quantify emotions and content in texts. It allows extracting sentiment out of news, analyst recommendations, social media data, transcripts, press releases, broker news, factsheets, weather forecasts and many other sources. Sentiment extraction is highly reliable and disseminated data is preprocessed so that implementation into existing or new financial applications is easily possible. The Sentikator gives valuable insights to emotions"

"The Suggested Upper Merged Ontology (SUMO) and its domain ontologies form the largest formal public ontology in existence today. They are being used for research and applications in search, linguistics and reasoning. SUMO is the only formal ontology that has been mapped to all of the WordNet lexicon. SUMO is written in the SUO-KIF language. SUMO is free and owned by the IEEE. The ontologies that extend SUMO are available under GNU General Public License. Adam Pease is the Technical Editor of SUMO."

Ground-breaking profiling, semantic search, navigation and optimization solutions. TextDigger offers the most intuitive, evolved, versatile and scalable semantic and linguistic profiling solutions for enriching your web-based content TextDigger has empowered businesses like yours to improve the findability of Internet and intranet content by providing scalable solutions for related search, automatic tagging, and semantic keyword generation. From web publishers, to e-commerce sites, to social networking and corporate enterprises, TextDigger's solutions leverage proprietary semantic technology to make your web pages easier to find, navigate and monetize.

the leading international society for organization of knowledge. ISKO has a broad and interdisciplinary scope. ISKO's mission is to advance conceptual work in knowledge organization in all kinds of forms, and for all kinds of purposes, such as databases, libraries, dictionaries and the Internet. As an interdisciplinary society, ISKO brings together professionals from many different fields. ISKO counts more than 400 members all over the world, from fields such as information science, philosophy, linguistics, computer science, as well as special domains such as medical informatics.

The International Association for Ontology and its Applications is a non-profit organization the purpose of which is to promote interdisciplinary research and international collaboration at the intersection of philosophical ontology, linguistics, logic, cognitive science, and computer science, as well as in the applications of ontological analysis to conceptual modeling, knowledge engineering, knowledge management, information-systems development, library and information science, scientific research, and semantic technologies in general.

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.

"This Wikiproject aims to provide structured data to study people's names throughout history, in the whole world, in all languages, for all people present in Wikidata, through structural properties and linguistic information."

Suggested Upper Merged Ontology (SUMO) and its domain ontologies form the largest formal public ontology in existence today. They are being used for research and applications in search, linguistics and reasoning. SUMO is the only formal ontology that has been mapped to all of the WordNet lexicon. SUMO is written in the SUO-KIF language. SUMO is free and owned by the IEEE. The ontologies that extend SUMO are available under GNU General Public License. Adam Pease is the Technical Editor of SUMO.

For exchanging papers of interest to natural language semanticists and philosophers of language.

General semantics is a system that generalizes the principles and methods of modern science to all areas of human activity. Its principles and methods can be utilized to enhance our creative and critical thinking processes, and thus achieve better management of our day-to-day activities and our relationships.