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Digital Enterprise Research Institute                                                            www.deri.ie




                               Semantic Search for Enterprise 2.0
                   Alexandre Passant1, Philippe Laublet2, John Breslin1, Stefan Decker1
                                             Digital Enterprise Research Institute, NUI Galway
                                         1

                                                2 LaLIC, Université Paris-Sorbonne, France




   SemSearch09, WWW09, Madrid
   21th April 2009
                                                                                Chapter
♥ Copyright 2008 Digital Enterprise Research Institute. All rights reserved.
Enterprise 2.0
Digital Enterprise Research Institute                                      www.deri.ie




             Social media in a corporate context
        
                   “The use of emergent social software platforms within
               
                   companies, or between companies and their partners or
                   customers”
             The SLATES paradigm
        
                   Search
               
                   Links
               
                   Authoring
               
                   Tagging
               
                   Extension
               
                   Signals
               
Main issues
Digital Enterprise Research Institute                                         www.deri.ie




             Enterprise 2.0 can be used to foster collaboration
        
             and social intelligence, but raises various issues
             Information fragmentation
        
                   Description of a project on a wiki, minutes of meetings on
               
                   blog posts, information about partners on RSS feeds, etc .
             The gap between documents and data
        
                   Valuable information in wikis, but hard to efficiently get it,
               
                   e.g “list all companies involved in project X since 2008”
             Tagging issues
        
                   Ambiguity, heterogeneity, lack of organization and gap of
               
                   tagging behaviors depending on expertise
Proposed solution
Digital Enterprise Research Institute                                  www.deri.ie




             Considering Enterprise 2.0 at the level of semantics
        
                   The SemSLATES approach: middleware for Enterprise 2.0
               

             Following the RDF bus approach
        
                   Add-ons for existing applications
               
                   RDF(S)/OWL and SPARQL
               
                   User-interfaces and applications
               
                   on the top of it
Use-case
Digital Enterprise Research Institute                                      www.deri.ie




             EDF R&D: Blogs, wikis, RSS feeds
        
                   Extensions for data integration, enabling semantic mash-
               
                   ups and semantic search
             Common semantics for various applications
        
                   SIOC and related vocabularies to model the social
               
                   interactions within the user communities
             From documents to structured and interlinked data
        
                   Lightweight ontologies (SKOS, FOAF extensions …)
               
                   Extending the Wiki platform to a Semantic Wiki system
               

             Tagging issues
        
                   Semantic tagging with MOAT, i.e. “Tag with URIs”
               
Exposing SIOC data
Digital Enterprise Research Institute                                 www.deri.ie




             Enable common semantics for user-generated content
        
                    From various applications, completely automated
                
From documents to RDF data
Digital Enterprise Research Institute                                        www.deri.ie




             UfoWiki
        
                   Wiki interface including forms mapped to ontologies for
               
                   collaborative instances management
                   Live SPARQL-autocompletion to reuse URIs between wikis
               



          Inline macro




            Simple
         autocomplete
             field
Semantic tagging
Digital Enterprise Research Institute                                        www.deri.ie




             MOAT - Meaning Of A Tag
        
                    A lightweight model and framework to bridge the gap
                
                    between tagging and semantic indexing
                    Tags mapped to ontology instances created from the
                
                    Wikis (via their label)
                    User-interface for validation / disambiguation (if needed)
                
                    Ability to link new tags to existing instances
                
A complete interlinked graph
Digital Enterprise Research Institute                                                                                                                  www.deri.ie




                    a:Energy                               f:Company                              g:Feature


                                                      rdf:type                                     rdf:type
                                  a:produces
                                                                                                                                          Ontology population




                                                                                                                Semantic Web layer
                                                                                                                                          with semantic wikis
                                                   a:EDF               g:locatedIn             g:3017382/

                    moat:topic
                                                                                                                                           Semantic tagging
                                                                                                                                             with MOAT
                                                                       :wikipage_2
                                         sioc:links_to
                    :bpost_1
                                                                                                                                          Social interactions
                                                                                 sioc:container_of
                                   sioc:has_creator
                                                                                                                                              wth SIOC
                                                              :alex                                   :wiki_A




                                                                                                                Enterprise 2.0 services
                                       hyperlink
                                                                                       contains
                                     creates
                   Blog Post 1                                         Wiki page 2


                                                                                                      Wiki A
Enabling search
Digital Enterprise Research Institute                                                                                   www.deri.ie




             How to integrate and query all this data ?
        
                   17000 instances of sioc:Post linked to 300 domain
               
                   ontology instances, on various applications
             A ping-based architecture with a central RDF store
        
                   Each component pings the store when creating /
               
                   updating / deleting RDF data
                   REST-ful interactions using SPARQL / SPARUL
               
                                                interface




                                                                                  interface
                                                                                   SPARQL
                                                 SPARUL




                         Ping system to store                                                 External services using
                         new or updated data                                                       stored data

                                                                RDF Store



                                                            Semantic Middleware
Search interface
Digital Enterprise Research Institute                                          www.deri.ie




             End-user interface
        
                    Identifying relevant instance and retrieving information
                
                    from various sources, as well as related entities
                    Hiding RDF(S)/OWL and SPARQL to the users
                
Enabling Semantic mash-ups
Digital Enterprise Research Institute                                       www.deri.ie




             Re-using RDF data from the LOD cloud internally
        
                    Low-cost Semantic mash-ups
                
                    E.g. Geolocation of wiki instances thanks to Geonames
                
Conclusion
Digital Enterprise Research Institute                                        www.deri.ie




             Enterprise 2.0 enables social interactions and ease
        
             content-generation
                    But introduces new issues / emphasizes existing ones
               

             Semantic integration can help
        
                    Without having to rebuild the information system
                
                    Lightweight add-ons, transparency for end-users
                

             Compared to existing information integration
        
             approaches
                    Use lightweight semantics (FOAF, SIOC, SKOS …)
               
                    Consider the social aspect of Enterprise 2.0 both when
               
                    creating and using RDF data
Thank you !
Digital Enterprise Research Institute           www.deri.ie




             Any questions ?
        
             Contact
        
                   http://apassant.net
               
                   alexandre.passant@deri.org
               

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Semantic Search for Enterprise 2.0

  • 1. Digital Enterprise Research Institute www.deri.ie Semantic Search for Enterprise 2.0 Alexandre Passant1, Philippe Laublet2, John Breslin1, Stefan Decker1 Digital Enterprise Research Institute, NUI Galway 1 2 LaLIC, Université Paris-Sorbonne, France SemSearch09, WWW09, Madrid 21th April 2009 Chapter ♥ Copyright 2008 Digital Enterprise Research Institute. All rights reserved.
  • 2. Enterprise 2.0 Digital Enterprise Research Institute www.deri.ie Social media in a corporate context   “The use of emergent social software platforms within   companies, or between companies and their partners or customers” The SLATES paradigm   Search   Links   Authoring   Tagging   Extension   Signals  
  • 3. Main issues Digital Enterprise Research Institute www.deri.ie Enterprise 2.0 can be used to foster collaboration   and social intelligence, but raises various issues Information fragmentation   Description of a project on a wiki, minutes of meetings on   blog posts, information about partners on RSS feeds, etc . The gap between documents and data   Valuable information in wikis, but hard to efficiently get it,   e.g “list all companies involved in project X since 2008” Tagging issues   Ambiguity, heterogeneity, lack of organization and gap of   tagging behaviors depending on expertise
  • 4. Proposed solution Digital Enterprise Research Institute www.deri.ie Considering Enterprise 2.0 at the level of semantics   The SemSLATES approach: middleware for Enterprise 2.0   Following the RDF bus approach   Add-ons for existing applications   RDF(S)/OWL and SPARQL   User-interfaces and applications   on the top of it
  • 5. Use-case Digital Enterprise Research Institute www.deri.ie EDF R&D: Blogs, wikis, RSS feeds   Extensions for data integration, enabling semantic mash-   ups and semantic search Common semantics for various applications   SIOC and related vocabularies to model the social   interactions within the user communities From documents to structured and interlinked data   Lightweight ontologies (SKOS, FOAF extensions …)   Extending the Wiki platform to a Semantic Wiki system   Tagging issues   Semantic tagging with MOAT, i.e. “Tag with URIs”  
  • 6. Exposing SIOC data Digital Enterprise Research Institute www.deri.ie Enable common semantics for user-generated content   From various applications, completely automated  
  • 7. From documents to RDF data Digital Enterprise Research Institute www.deri.ie UfoWiki   Wiki interface including forms mapped to ontologies for   collaborative instances management Live SPARQL-autocompletion to reuse URIs between wikis   Inline macro Simple autocomplete field
  • 8. Semantic tagging Digital Enterprise Research Institute www.deri.ie MOAT - Meaning Of A Tag   A lightweight model and framework to bridge the gap   between tagging and semantic indexing Tags mapped to ontology instances created from the   Wikis (via their label) User-interface for validation / disambiguation (if needed)   Ability to link new tags to existing instances  
  • 9. A complete interlinked graph Digital Enterprise Research Institute www.deri.ie a:Energy f:Company g:Feature rdf:type rdf:type a:produces Ontology population Semantic Web layer with semantic wikis a:EDF g:locatedIn g:3017382/ moat:topic Semantic tagging with MOAT :wikipage_2 sioc:links_to :bpost_1 Social interactions sioc:container_of sioc:has_creator wth SIOC :alex :wiki_A Enterprise 2.0 services hyperlink contains creates Blog Post 1 Wiki page 2 Wiki A
  • 10. Enabling search Digital Enterprise Research Institute www.deri.ie How to integrate and query all this data ?   17000 instances of sioc:Post linked to 300 domain   ontology instances, on various applications A ping-based architecture with a central RDF store   Each component pings the store when creating /   updating / deleting RDF data REST-ful interactions using SPARQL / SPARUL   interface interface SPARQL SPARUL Ping system to store External services using new or updated data stored data RDF Store Semantic Middleware
  • 11. Search interface Digital Enterprise Research Institute www.deri.ie End-user interface   Identifying relevant instance and retrieving information   from various sources, as well as related entities Hiding RDF(S)/OWL and SPARQL to the users  
  • 12. Enabling Semantic mash-ups Digital Enterprise Research Institute www.deri.ie Re-using RDF data from the LOD cloud internally   Low-cost Semantic mash-ups   E.g. Geolocation of wiki instances thanks to Geonames  
  • 13. Conclusion Digital Enterprise Research Institute www.deri.ie Enterprise 2.0 enables social interactions and ease   content-generation But introduces new issues / emphasizes existing ones   Semantic integration can help   Without having to rebuild the information system   Lightweight add-ons, transparency for end-users   Compared to existing information integration   approaches Use lightweight semantics (FOAF, SIOC, SKOS …)   Consider the social aspect of Enterprise 2.0 both when   creating and using RDF data
  • 14. Thank you ! Digital Enterprise Research Institute www.deri.ie Any questions ?   Contact   http://apassant.net   alexandre.passant@deri.org 