AAutomatedTagging
Add semantic tags to all relevant terms in your texts and you will be able to search and analyse them more efficiently. For any word, not only named entities, such as persons, locations, and organizations.
BWorld-class Performance
World-class disambiguation performance is our key feature. This has been assessed in international comparative studies and challanges. Compare our service with your favorite Semantic APIs and let us know.
CCrossLanguage
Exploiting DBpedia as knowledge base, we can capture cross-references to the same concepts even when your documents are in different languages.
DShortTexts
Our algorithm does not need long texts to find relevant tags, just one or two sentences are typically sufficient. It is ideal for analysing comments and texts uploaded in Social Web sites.
We connect to the Linked Open Data cloud.
MachineLinking connects your documents to the Linked Open Data cloud. All relevant terms in text are recognized and linked to the corresponding DBpedia page. These links give access to other databases in the LOD cloud, such as Freebase, from which we collect pertinent and valuable information for your business.
Have a careful look at our main features listed above. You will soon realize that MachineLinking is the ideal semantic technology to support Social Web and Web 3.0 applications! Contact us if you are interested in a partnership or just in knowing more.
“Machine Linking presented at SMAU.”
“MachineLinking rated at top level worldwide by an independent study.”
Twitter
LinkedIn
Delicious