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Introducing the OSIRIS Context Engine

The engine semantically understands data, enriches objects and generates insights based on the actual context where it’s needed.

The OSIRIS Context Engine is a piece of software. But it is not a piece of software which mere humans get in contact with. It is a software service, used by other software (applications) to gather additional information about certain topics. The OCE does not only find this information, it also selects the most relevant pieces of it (in your current context) and finally presents it to the user (that’s you).

Some aspects of this engine are still a vision, others are already reality – developed since the summer of 2012. Here is the complete vision.

Input

1. Context

Understanding you and your current situation.

2. Semantics

Understanding the object (topic) of your interest.

Output

3. Enrichment

Finding context and enriching the information with it.

4. Insights

Generating additional intelligent insights.

The OCE process: Think of the first two steps as input for the OCE and the last two as output. Who are you and in which situation do you have an interest in an object? The OCE processes this data to gather additional information from the available data treasures to create insights tailored to you in your current context.

Everything is a graph!

The OCE has to understand and process all data in a graph. OCE analyzes how all these different points are connected to each other – and how they are connected to you and the context you are in. As an example, let us assume you are interested in something called “Mockingjay” by “Suzanne Collins”. First, OCE determines that this is actually a book, written by the author Suzanne Collins. Then it finds out – among other data – that there is also a movie based on this book, that the actress Jennifer Lawrence has been nominated for two Oscars - etc. OCE creates a map of context, and it even adds properties to each data element.

The OSIRIS Context Engine is totally source-agnostic. It uses information from many different sources already (such as Wikipedia, Google, Flickr) and we are adding more sources constantly. There is a lot of information already available out on the net – it ‘only’ has to be ranked by relevance and presented in the right moment in an easy-to-use form.

Supported contexts for ranking

While enriching and generating insights, it is extremely important to deliver content which feels relevant to a user. "Relevance" is a very individual attribute for information. And it is volatile and time dependent. Some information which feels interesting to me might be boring to you. Or information that feels usefulwhile I am sitting relaxed on my sofa would be distracting while I am in a hurry in a subway station. Right now the OCE takes the following contexts into consideration:

Data about you

you
like
artist

First it is important for the OCE to understand who you are. That’s not an easy job. But some demographic data (from Facebook for example) or information about past interests can already be taken into account, when the OCE tries to decide which enrichments or insights might be helpful or interesting for you.

The Social Graph

you
friends with
person

The OCE analyzes your social graph to see things in the context of your friends. Actually there is a lot of data out there about your friends. They could be of great value for us, and this value simply get’s lost on social platforms. A simple example: your friends' tweets from the past are out of sight – but they might become very important again when you are interested in a similar topic. The OCE recovers this data and provides you with these insights.

Location, time of day, activity etc.

you
work at
place

Of course the OCE has to take location data into consideration (if available). The location might tell us a lot about the user’s context. Additionally, local time is interpreted. People often follow certain patterns of interest depending on daily time or day of week. The most common example for such a pattern is at being at work/off work, but there are many others, too.

Your relationship to the object/topic in question

you
bought
object

The OCE always thinks in graphs and therefore takes a look at the predicate which connects you with the object. There is a big difference if you already own something or either plan to buy something. The difference in the related data is significant.

Supported data sources:

To make all this happen, OCE is literally standing on the shoulder of giants: it depends on a lot of different data sources. In general we differentiate two different kinds of sources:

The linked open data cloud:

Linked Data is about using the web to connect related data that wasn’t previously linked, or to lower the barriers to connect already linked data by using other methods. More specifically, Wikipedia defines linked data as “a term used to describe a recommended best practice for exposing, sharing, and connecting pieces of data, information, and knowledge on the Semantic Web using URIs and RDF.”

Our OSIRIS Context Engine makes use of this linked data and right now for example works with datasets from Wikidata and Freebase as starting points to explore and enrich data. We as well use natural language processing technology (NLP) integrating the AlchemyAPI into our OSIRIS Context Engine.

AlchemyAPI

Apart from the linked open data cloud, the OSIRIS Context Engine works of course with a growing number of proprietary APIs and datasets. At the moment we support the following sources: Music Brainz, flickr, The New York Times, The Guardian, YouTube, Facebook, Foursquare, Twitter and a bunch of Google APIs.

This is a selection of APIs currently supported by OSIRIS Context Engine:

Introducing Context Booster

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Context Booster is your knowledge assistant for Evernote!

Evernote is a great tool to file photos, websites, documents, save researches and collect notes. As Evernote says: "Save everything you want to remember!".

Now there is a wonderful new feature for Evernote:
Context Booster magically adds related information to your notes! Imagine the massive potential of data available in the web: Wikipedia, Flickr, Twitter and so on... There is plenty of knowledge out there and Context Booster finds it for you and adds it to your notes.

Boosting your notes

You can be much more productive, save time and become smarter while using Evernote!

Here is an example:
You are interested in a specific subject area. While researching and collecting articles, photos and web links, you come across details that you might not understand. Let's say you just do not know any person, terminology or historic event mentioned in the article.

Context Booster solves your problem.

Just tag your note with "contextboost"! Context Booster automatically analyzes all relevant topics in the note.

It pulls related content from the web and adds links to the bottom of your note. It even intelligently associates terms that are not explicitly mentioned in your note - indicated in grey.

Click on any of these links (buttons) and you'll find a summary of the topic first. Then you get facts & figures, pictures, articles, videos, links and everything which helps to learn more about this topic.

Context Booster supports you when working with Evernote by having everything you need know right at your fingertips!

Context Booster works across all devices - and it even integrates Evernotes Web Clipper.

Web Clipper integration

It is simple: you use your Web Clipper extension to save a website to Evernote. You directly insert the tag "contextbooster" and the note gets saved and boosted!

This works with Web Clipper as well as even any other application that is able to push content to Evernote with adding a tag!

But - Context Booster can do even more for you!

Twitter integration

A great resource for knowledge is Twitter. Users post numerous interesting websites and articles. And here is how Context Booster supports Twitter: you just need to favorite a tweet containing a link!

The tweet then gets pulled into Evernote, displaying the full content of the link. And additionally it gets boosted right away.

So you get three features at once!

  1. The original tweet is fully functional saved in Evernote.
  2. The full content of the link is displayed and saved to Evernote.
  3. The article is boosted!

And this does not only work with Twitter. Context Booster has just recently added a bookmarklet to "save & boost for later" any web content you want. From any device!

The magic behind Context Booster

Everything Context Booster does is a form of "augmented intelligence". It is delivered by the OSIRIS Context Engine, which analyzes structured data and semantically understands it. The topics in your notes get interpreted by applying natural language processing (via AlchemyAPI) and machine learning. Algorithms determine what is relevant to you depending on your specific context - and thus set prioritizations of all related topics. Even additional topics that do not directly appear as a term in your original note are associated.

AlchemyAPI

This is a selection of all other APIs currently supported by OSIRIS Context Engine:

OSIRIS Context Engine constantly adds more and more intelligence, and it constantly adds more data sources and a growing number of APIs to find interesting related content for you.

This is why Context Booster gets better every day! Join!

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We are making your world a smarter place!