Zemanta API is a simple API that delivers relevant tags, links and pictures from your unstructured data/content.
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.“
Zemanta Semantic API
Zemanta API analyses unstructured documents / texts and returns five types of content objects:
- machine-readable static tags
- general categories and custom taxonomies
- named entities with links to objects from major online knowledge databases: Wikipedia, Amazon, IMDB, RottenTomatoes, CrunchBase,... and to selected pool of online media and blogs
- pictures from Flickr, CC sources and professional agencies
- articles from selected media sources and blogs
Each can be used individually or combined to achieve best experience in different applications.
- leverage the power of your databases by collecting more structured metadata about your content
- build semantics-powered smart apps for you or your clients
- promote sharing of your content in conversational media
Zemanta is often compared to similar services like OpenCalais, M-Spoke, Inform, and others. The difference is that we focus on using semantic technology to deliver
|Feature||Zemanta API||Other APIs|
|links||to 14 databases||no|
|user generated content||yes||no|
As early as the closed testing phase, we saw very different applications being built on top of this API, either by us, individual developers, or 3rd party companies. Here are some examples:
- Zemanta For Bloggers - Try our online demo and see for your self. Please note that this demo is optimized for bloggers, so if you are just looking for tags you will not see full response.
- Faviki - A social bookmarking tool that allows you to tag webpages you want to remember with Wikipedia terms. This means that everybody uses the same names for tags from the world's largest collection of knowledge. Zemanta is used to suggest those tags.
- SezWho - A universal profile service that identifies "who's who" in social media and helps discover their contributions across the Web. To make sense of disparate threads of conversations across the social web, SezWho uses Zemanta's text processing API to organize conversations based on topics and to develop subject-specific reputations for contributors.
- uberVU - A service that retrieves comments, reactions, mentions from all over the Web so you get a more complete view of the conversation about a story. „The Zemanta API allows us to get related stories for the conversations that we're tracking. For each story that our users track, Zemanta lets us suggest new content that they might want to track, thus keeping them more engaged inside our product. We're also using the Zemanta API to autotag each conversation so that our users get a feel of what the conversation is about. It's easy to use and it saved us lots of time and effort that we would have spent on doing our own "related" feature. The guys are also responsive to requests so they're good partners to have.“ said Dragos Ilinca, cofounder of UberVU.
- Other services using Zemanta:
We have extensive developers documentation available, including architecture overview, code samples for most popular programming languages, frontside integration SDK, developers forum and application gallery.
API is free to use for up to 10000 API calls per day, and for a subscription fee above that.
Structure of pricing:
- 10.000 calls a day - free
- 50.000 calls a day with priority support - 1200 USD/month
- 100.000 calls a day with priority support - 2000 USD/month
Sign-up for free API calls at our Developer portal
To arrange a test and to learn more contact our Sales Team