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Universal Search and Social Networking. Exploiting the features of each to enhance the other and the tools that make it possible. Peter Wallqvist Ravn Systems [email protected]. Universal Search. - PowerPoint PPT Presentation
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Universal Search and Social Networking
Exploiting the features of each to enhance the other and the tools that
make it possible
Peter WallqvistRavn [email protected]
Universal Search
• Incorporates traditional ‘Enterprise Search’ with emphasis on any data source, including external
• Modern systems include features such as faceting, meta data biasing, query and result suggestions
• Can do a good job if users knows what they are looking for
Enterprise Social Networking
• Provides a platform for the people in the organisation to communicate and share content
• Makes information open and available to all• Keeps a record of previous discussions that
would otherwise get lost• Useful tool if users are incentivised to use it
Limitations of stand-alone solutions
Universal Search• There is little distinction
between quality content and items that are of less use
• Little control over ranking and relevance once system is running
• New and updated content doesn’t get attention
• Annotations and value additions might not be searched
Social Networking• Often becomes an isolated
application that is used only by some
• Little or no relation to the user’s everyday work
• Total focus on other users to interact with, ignoring other knowledge assets
Solution: Integration
• Treat any and all information within and outside the organisation as knowledge assets
• Create conversations, share ideas and add knowledge about these assets
• The focus will shift from social networking being simply about communication to being about new and existing knowledge and experience sharing
Integration in practice
• Let users interact with any knowledge asset • Let users explicitly express interest in any
knowledge asset (‘follow’)• Make the implicit and explicit interactions
with assets visible• Have a search engine tightly integrated with a
NoSQL object based data store handy
Integration in practice
• Instant updates to the index• Multiple name spaces• Links and hierarchy natural• Queries can be made based on far more than keywords• Make use of a Knowledge Graph – Exploit links that are available
Simple links – derived from content
Simple links – derived from content
Simple links – derived from content
Simple links – derived from content
Clever links – derived from semantics
Clever links – derived from semantics
Clever links – derived from semantics
Social links – derived from interactions
Social links – derived from interactions
Enhanced Universal Search
• Boost relevance of content that has been scored, graded, linked or accessed a lot
• Make added annotations and comments searchable• Find content based on links (simple, clever,
interactions)• Adjust relevance and suggestions based on user
profile and other input• In essence – “Enterprise Graph Search”
Enhanced Social Networking
• Treat all knowledge assets (people, documents, projects, discussions, etc) as entities you get updated on in your feed
• The anchor to the assets users are used to interacting with each day makes the initial use of the system more natural
• Identify Expert groups based on interaction with knowledge assets
The Knowledge Graph
The Knowledge Graph
The Knowledge Graph
The Knowledge Graph
The Knowledge Graph
Take Home Points
• Universal Search and Social Networking services are great ways to access and distribute knowledge and information
• If the two work together, the impact can be substantially greater
• Modern search / store / link platform required – classic flat reverse term index obsolete
Peter WallqvistRavn [email protected]