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Lijit Search It is the only service that connects many well known databases in a single-point solution for discovering more context of your content. How Is It Done? We analyze your post through our proprietary natural language processing and semantic algorithms, and statistically compare its contextual framework to our preindexed database of content. We are using a combination of machine learning techniques and end-user input from our widget users, which enables us to train the engine and constantly improve the recommendations. Who Is This for? Media companies, trying to navigate through their archives, to expose their darkweb, or simply increase traffic within their web properties. Blog networks that want to integrate smart tools for their bloggers. We have proof-of-concept implementations for the largest of networks. Startups that have a great idea but no resources to build smart engines from scratch. You can now leverage years of work and experience built into our services to boost your development. Owners of content database storage systems to maximize their value in a cost-efficient way. Zemanta API Is an Ideal Solution Optimized for user-generated content Other semantic APIs are built to manage only well-formatted documents and texts. Zemanta is built with the fluid nature of today’s Web in mind and will not fail to extract the meaning even in the most dubious of situations. Semantic standards compliant RDF output, support for entities from Linking Open Data Robust and scalable architecture that will not let you down We use the exact same API and infrastructure to provide our smart blogging services to thousands of users daily. Back-ends are running in a cloud, scaling dynamically to meet demand. Implicit disambiguation means that it never confuses Apple for apples We achieve this by comparing numerous meanings of each extracted term and acting based on that evaluation. Jamie Taylor, Freebase Minister of Information at Metaweb Technologies said: „For publishers, the Zemanta API acts as a front door to the universe of open data on the web, facilitating the jump from unstructured text to semantic entities. You can take plain text, use the Zemanta API to resolve that text into strongly identified entities, and then query Freebase for detailed information about the mentioned people, places, movies, etc. Truly empowering.“

Related articles by Zemanta

• API Showcase: Zemanta for Freebase Acre (zemanta.com)
• Developer meetup in New York — New Content APIs: Blogs, NLP, Geolocation and More (zemanta.com)
• MarshalSandler.com ” Featured blog: Casa Dolcetto — Sent using Google Toolbar (msandler.tumblr.com)
• A Glimpse at Web 3.0: 13 Semantic Web Applications Reviewed (thoughtpick.com)

Lijit Search

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