Business Case
Radio France MetaData
Reconcile heterogeneous data to serve the business.
- EDITO (channel director)
- ITEMA (On Air director)
- EDISON (thesauri)
- Digital management Web database for the indexation
- ORPHEA, (picture integration)
- NETIA logs for the synchronisation with the on air episode
A few numbers…
Key goals
1
Simplify content reutilization
2
Provide a rich and business oriented portal for search, consultation and exploitation
3
Improve the user experience
4
Make exchange more fluid
5
Maximise content exposition
6
Centralized and immediate access to content
Bring data back together
The MAM-as-a-Brain is fed by any data available from the field.
Various types of data coming from various sources are reconciled and transformed into meaningful information, understandable and usable by the business teams.
Metadata for On Air management, web publication information, diffusion logs…. All this data variety be centered on content through the reconciliation base defined by the business team language.
Content are automatically indexed and are available for production and archivists with reconciled information, increasing the access point to get those information.
As an example, the topics detected within the on Air director titles enrich the programme’s with the related information.
Centralized and immediate access to content
All enriched and collected content are immediately available for business teams in our graphical user interface Trouvé™, ergonomics designed for operational efficiency ... and user enjoyment
The search engine provides dynamic facets and filters which are fed according to the data’s diversity reconciled from the various production, distribution and publication systems, plus the automatic extraction tools. Thus, the search is always providing more and more available information to give the business teams more opportunities to find content.
Highly indexation of the audio recording
The collaboration of extraction services helps reveal relevant information within the content.
Persons, locations, organisations… The automatic speech transcription coupled with the named entities recognition clarifies the information allowing navigation and a rich and contextualized intra program search.
The exploitation of a specific portion of audio content is immediate.
The speakers relevant example
MediaData project demonstrates the capacity to make content searchable and accessible.
In particular, each sentence extracted from the content becomes a searchable element according to the expected business criteria: gender and identity of the speaker, program…
Also, speaker identification is the perfect example of the benefits of reconciliation of information. Indeed, this is not obtained by the mobilization of a trained extraction tool, but by the deduction of cross-information according to identified business rules.
Therefore, the combination of information regarding an interviewee (coming from the web) and information about the most frequent speaker within a content (coming from the transcription) makes possible the identification of speakers for every sentence.
This is how the access to a specific sentence becomes immediate.
Interconnect audio, video and image content
The broadcasted audio programs are automatically connected to related multimedia content, through their common information.
Therefore, the photos of the guests stored in the Orphéa system are accessible directly from the navigation of the information relating to a program.
The discovery of connected elements improves the user navigation, enhances all the content produced by the house of Radio France, in a shared and harmonized manner.
A rich indexation environment
The user interface is also designed for content indexation, the integration of Radio France dictionaries and thesauri (genres, broadcasts, etc.) and shared standards (IPTC, IAB categories, etc.).
The granularity of the documentation is multiple and is consistent with the business needs of annotations on the whole content or on specific portions of it.
Improve exchange with production teams
Users have personal folders allowing them to save extracts to share. MAM-as-a-Brain allows you to export any extract to connected production tools.
In all circumstances, allowing the use of any content from any period shifts the logic of archiving to asset management.
Business KPIs
Consistency and centralization of 6 non communicating data sources
3 business-oriented automatic extraction tools collaborates
6 months of Inter, Info and Culture content, 2,000 episodes, 150,000 indexed sentences, 160,000 referenced entities
Validation of the agility of the solution through the iterative process of taking into account business needs over 4 months of discussions
Productivity
Data is interpreted to be delivered as exploitable assets and meet the needs of your operational context.
Empowerment
Increase of users’ independence and reactivity. Users can access any rich, complex and meaningful content on their own.
Governance
Unleash data and content governance (legal, business, operational). 100% of the data and content are indexed and monitored.
Want to know more?
Meet one of our experts!
PERFECT MEMORY is a Software Publisher. We crafted a new generation of Digital Asset Management Systems, the DAM-as-a-Brain, which can refine and execute cognitive processing on content.
Our DAM-as-a-Brain allows to collect, interpret, and transform any data and content into natively exploitable assets for operational teams and their ecosystems.
We guarantee to our users a quick, intuitive, and exhaustive access to data and content, regardless of their nature and origin.
