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Linked data - What it does, what it needs

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Information about Linked data - What it does, what it needs
Technology

Published on February 28, 2014

Author: pravinp

Source: slideshare.net

Description

The Department of Informatics and the Web of Data Meetup is hosting a panel discussion about the use and potential of Linked Data and Semantic Web technologies. A number of professionals from various organisations such as the BBC, ODI, EuroMoney and Affectv will describe how they are currently using semantics and discuss what further work is needed to bring this emerging technology to the mainstream.

This event is open to the public but please sign up through theWeb of Data Meetup page to guarantee a place.
At this event, industry professionals will discuss how they are using linked data and semantics and what direction they would like to see research in this field go. The four panelists will each present their position for 10 minutes followed by a panel discussion.

Speakers:

- Fabio Colasanti, Data and Information Architect, EuroMoney
- Tom Heath, Head of Research, ODI
- Sofia Angeletou, Senior Data Architect, BBC
- Pravin Paratey, CTO, Affectv

http://www.meetup.com/Web-Of-Data/events/155068962/
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What powers the internet?

What powers the internet?

Advertising

Annoying if not relevant

Ads should be relevant

Should answer Who, Why, What, Where, When

Affectv is an audience technology company

Understand the content people are interested in and who they interact with

50+ Data partners 16 markets 7b+ interactions Data 130m+ shares 400m+ unique users

2% Linked Data

2% Linked Data 1. 2. 3. Proprietary ontology Wikipedia / DBPedia Open Data

Identifying Demographics

“I love Justin Bieber”

Identify Demographics Website content Entity extraction Semantics augmented Identification Disambiguat ion

“I love Justin Bieber”

Identify Demographics Website content Entity extraction Semantics augmented Identification Disambiguat ion

Canadian Teen sensation “I love Justin Bieber” Music

Identify Demographics Website content Entity extraction Semantics augmented Identification Disambiguat ion

Advantages ● Reduces Ambiguity ● Adds knowledge

Challenges 1. Not enough linked data 2. Multiple standards to describe data ○ Makes sense for intranet ○ Bad for internet

Opportunities Individuals, Enterprises Government, Universities

Open graph initiative http://affectv.co.uk/technology

We are hiring Full-stack, Javascript Data Science, Big Data http://affectv.co.uk/team

Thank you Pravin Paratey, CTO pravin@affectv.co.uk

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