Successfully reported this slideshow.
We use your LinkedIn profile and activity data to personalize ads and to show you more relevant ads. You can change your ad preferences anytime.

Semantic Search for Enterprise 2.0

2,099 views

Published on

SemSearch09 workshop at WWW2009, April 21th 2009- http://km.aifb.uni-karlsruhe.de/ws/semsearch09/ - Paper available at: http://km.aifb.uni-karlsruhe.de/ws/semsearch09/semse2009_25.pdf

Published in: Technology, Education
  • Be the first to comment

Semantic Search for Enterprise 2.0

  1. 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. 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. 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. 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. 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. 6. Exposing SIOC data Digital Enterprise Research Institute www.deri.ie Enable common semantics for user-generated content   From various applications, completely automated  
  7. 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. 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. 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. 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. 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. 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. 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. 14. Thank you ! Digital Enterprise Research Institute www.deri.ie Any questions ?   Contact   http://apassant.net   alexandre.passant@deri.org  

×