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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.

LogMap is an ontology matching tool developed as part of the LogMap project. LogMap is highly scalable ontology matching system with 'built-in' reasoning and diagnosis capabilities. LogMap can deal with semantically rich ontologies containing tens (and even hundreds) of thousands of classes such as NCI, FMA and SNOMED CT.

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The thesaurus provides vocabulary on any economic subject: more than 6,000 standardized subject headings and about 19,000 entry terms to support individual keywords. You can also find technical terms used in law, sociology, or politics, and geographic names. When selecting terms from this vocabulary, you are sure to get results matching your search query.

The Semantic Wikipedia would combine the properties of the Semantic Web and Wiki technology. In this enhancement, articles would have properties (or traits), which could be mixed or combined to allow articles to be members of dynamic categories, chosen by user requests. Lists would no longer be just the numerous pre-formatted list articles, but rather, a list could be dynamically created for all articles matching selected search properties.

"The VIAF™ (Virtual International Authority File) combines multiple name authority files into a single OCLC-hosted name authority service. The goal of the service is to lower the cost and increase the utility of library authority files by matching and linking widely-used authority files and making that information available on the Web."

It checks your web page for RDFa and displays any data found there. It also compares your data against the published recommendations from major consumers/users of RDFa data, to see how well your data matches their requirements.

392 Freebase Application topics matching: Freebase Application Freebase Commons Freebase Application' is a type used to describe applications developed using MQL and the Freebase API. 392 total topics |

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.

Faceted Wikipedia Search allows users to ask complex queries against Wikipedia. The answers to these queries are not generated using key word matching as the answers of search engines like Google or Yahoo, but are generated based on structured information that has been extracted from many different Wikipedia articles.

find and be found The MetaWeb Project is an example application for the exchange of messages in the Semantic Web. It offers the possibility to add individual and standardised markings on Websides, Blogs, Feeds, Images or Web Services. On the other hand it is possible to create search profiles with the same method, so that the hits are of a high quality because of the matching of the meta descriptions. Markings and search profiles can be given out in the RDF format or be parsed on the pages CodeInput (for markings) and AnglerInput (for search profiles).

the metaweb project ~ find and be found The MetaWeb Project is an example application for the exchange of messages in the Semantic Web. It offers the possibility to add individual and standardised markings on Websides, Blogs, Feeds, Images or Web Services. On the other hand it is possible to create search profiles with the same method, so that the hits are of a high quality because of the matching of the meta descriptions. Markings and search profiles can be given out in the RDF format or be parsed on the pages CodeInput (for markings) and AnglerInput (for search profiles).

DiscOU is a resources discovery engine relying on a semantic index of Open University Open Content. It semantically analyses the content of an online resource, and matches it by similarity to other existing Open University content to retrieve the most relevant pieces. It currently works with BBC programme pages, as demonstrated in the video below, as well as from text entered/pasted in the DiscOU alfa interface.

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