News the New Way: Semantics in the Driver's Seat

News the New Way

Semantics in the Driver’s Seat

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

Philip Dudchuk
Head of Semantic Platform,
RIA Novosti

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


1941

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


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 both news items and articles on
websites

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


Evolution of the Publishing Process


News 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

• Morphology
• Disambiguation rules & attributes


Impacts


Impact 1: Broadcasting News with Semantic Metadata

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 2: Adaptive Content of Websites

My ria.ru

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


Impact 3: Non-traditional Aggregations and Analytics

Putting together news metadata with external content

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


3

21 4
10
10 2 11
3 1 12 16 3
9 1 14
11 2
1
2 12

17 1
5

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)


Negativity Index

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

‘Pussy riots’ punks
arrested

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


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

The New York Times The Financial Times
The Washington Post

Syria’s media on the same topic


Further Challenge

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

• Semantic metadata for pictures and video (image & voice
recognition)

• Making RIA content & metadata API public

• Creating a LOD cloud bubble out of RIA ontology and
vocabularies


Thank you!

@philip_dudchuk
@daniel_hladky


News the New Way: Semantics in the Driver's Seat

Recomendados

Recomendados

Más contenido relacionado

Similar a News the New Way: Semantics in the Driver's Seat

Similar a News the New Way: Semantics in the Driver's Seat (20)

Último

Último (20)

News the New Way: Semantics in the Driver's Seat