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"Using HTML entities is the right way to ensure all the characters on your page are validated. However, often finding the right entity code requires scanning through 250 rows of characters."

YAGO2 is a huge semantic knowledge base, derived from Wikipedia, WordNet and GeoNames. Currently, YAGO2 has knowledge of more than 10 million entities (like persons, organizations, cities, etc.) and contains more than 120 million facts about these entities.

"OpenOffice OKKAM AddOn is a freeware software that integrates the OKKAM functionalities to the OpenOffice Writer. You can easily search semantic entities inside your documents and attach detailed  information about them. OKKAM AddOn enables to insert entities as footnote and annotation or as metadata  directly inside your OpenOffice documents."

"YAGO2s is a huge semantic knowledge base, derived from Wikipedia WordNet and GeoNames. Currently, YAGO2s has knowledge of more than 10 million entities (like persons, organizations, cities, etc.) and contains more than 120 million facts about these entities."

YAGO is a huge semantic knowledge base, derived from Wikipedia and WordNet. YAGO knows more than 2 million entities (e.g. persons, organizations, cities), and 20 million facts about these entities. Unlike many other automatically assembled knowledge bases, YAGO has a manually confirmed accuracy of 95%.

This project aims at integration various open government data sources. Those sources originate from several geographic regions and come in any kind of format. This site allows the following: download integrated open government data as RDF triples and database dump - play with the data in an interactive web app that nicely visualizes keyword queries results - discover interesting connections among entities mentioned in NYT articles You are able to search in: 200,000 persons (politicians, company key-persons, etc.) 248,000 legal entities (companies, government agencies) 1,000,000 funds (grants, subventions, earmarks, donations, etc.)

Okkam Entity Search Search Okkam and find the OKKAM ID and the Okkam Profiles among more then 7.5 milion entities.

YAGO (Yet Another Great Ontology) is a huge semantic knowledge base. Currently, YAGO knows over two million entities such as persons, organizations and cities and about twenty million facts about these entities. A web interface allows users to pose questions to YAGO in the form of queries on the YAGO homepage. YAGO is being developed at the Max Planck Institute for Computer Science ...

YAGO is a huge semantic knowledge base. Currently, YAGO knows more than 2 million entities (like persons, organizations, cities, etc.). It knows 20 million facts about these entities. Unlike many other automatically assembled knowledge bases, YAGO has a manually confirmed accuracy of 95%. YAGO is part of the YAGO-NAGA project at the Max-Planck Institute for Informatics in Saarbrücken/Germany.

TextMap is a search engine for entities: the important (and not so important)people, places, and things in the news. Our news analysis system automatically identifies and monitors these entities, and identifies meaningful relationships between them.

A triplestore is a purpose-built database for the storage and retrieval of triples,[1] a triple being a data entity composed of subject-predicate-object, like "Bob is 35" or "Bob knows Fred".

An Entity of Type : Document, from Data Source : http://uriburner.com/, within Data Space : linkeddata.uriburner.com

What is Linked Data and the Semantic Web and what is all the hype about? Principally, the Semantic Web is a Web 3.0 web technology - a way of linking data between systems or entities that allows for rich, self-describing interrelations of data available across the globe on the web.

"Apache Stanbol provides a set of reusable components for semantic content management. Apache Stanbol's intended use is to extend traditional content management systems with semantic services. Other feasible use cases include: direct usage from web applications (e.g. for tag extraction/suggestion; or text completion in search fields), 'smart' content workflows or email routing based on extracted entities, topics, etc."

Freebase Maps. This map combines geolocated entities from Freebase with Maps API.

"OKKAM, a Large Scale Integrating Project co-funded by the European Commission (GA 215032), ran from January 2008 to June 2010."

The Calais web service automatically attaches rich semantic metadata to the content you submit. Using natural language processing, machine learning and other methods, Calais categorizes and links your document with entities (people, places, organizations, etc.), facts (person "x" works for company "y"), and events (person "z" was appointed chairman of company "y" on date "x"

TextWise creates the semantic Digital DNA of documents, revealing the fundamental meaning of text. Semantic Signatures® mines content to uncover the deeper meaning of text and creates a unique 'signature' for every document it processes. Match similar text automatically without using ambiguous keywords or entities.

OKKAM is a Large Scale Integrating Project co-funded by the European Commission (GA 215032)