rian - news the new way (powered by ontos)

Semantics in the Driver’s Seat

News the New Way

SemTechBiz, San Francisco, June 5, 2012 Philip Dudchuk & Daniel Hladky


Philip Dudchuk Head of Semantic Platform, RIA Novosti

Daniel Hladky Deputy Director, W3C Russia Member of the Board, Ontos AG

Founded in the beginning of the WW2, RIA Novosti was initially a news agency reporting on the situation at the war front

1941



First news websites looked like simple feeds


Boom of platforms in late 2000s


Metadata rules the world of news

• News metadata gets right content to right departments of the customer (big media)

• Metadata locates reported events (local newspapers)

• Metadata enables vertical products focused on selected areas (banking, automotive, government)


Distinct metadata sets


2011: Need in a common Semantic Publishing Platform

• Build and manage a common news ontology and vocabularies for all products and news websites

• Generate metadata for every news item and every website article

• Aggregate content and metadata for further use in end-user applications (websites and mobile apps)


Evolution of the Publishing Cycle


The Ontology


Managing the Triple Store

Triple Store updates • Editorial meetings • Statistics about ‘heuristic’ entities • Adding an entity directly from CMS

Linguistic Information in the Triple Store • Lookups for entities • Morphology • Disambiguation rules & attributes


Impacts


Filtering news content by triple queries at the customer’s end (via API):

• content about any oil & gas company • content about any employee of any public body in a

given region of Russia • content about any event going to happen in my city

Common metadata for newswire and web content allow to blend free and paid content into new products (news archive)

Impact 1: Broadcasting News with Semantic Metadata


My ria.ru

• Locating the user and filtering the content by region • Gathering user interests and filtering content by

entities and topics

Impact 2: Adaptive Content of Websites


Putting together news metadata with external content

• summer forest fires • juvenile delinquency in towns and regions • election fraud cases

Impact 3: Non-traditional Aggregations and Analytics


21

10

4

5

2

1

11

16 3

1 12

14

17

10

12

2

2

9 3

1 1

3

1

1

Combination of crowd-sourced geo data about forest fires and local reports by RIA Novosti


A case study: country image analysis


Country image analysis

• Searching news content related to Russia across more than 3,000 foreign sources

• Processing search results, tagging and aggregating content with its metadata

• Producing statistics about reaction on subjects connected to Russia (events, people, organizations)


Top sources with biggest number of negative publications on involvement of Russian politicians and businessmen in Yulia Tymoshenko’s case

Negativity Index

Tymoshenko’s case in Ukraine, threat to boycott Euro 2012

‘Pussy riots’ punks arrested


US media on Russia’s reaction on the events in Syria

Syria’s media on the same topic

The New York Times

The Washington Post

The Financial Times


Further Challenges

• Semantic metadata for pictures and video (image recognition)

• Processing the content from social media to create adaptive social applications

• Adding voice recognition to semantic platform and create new products and services incorporating video with relevant articles and pictures

THANK YOU!


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