Alessio Bosca: Linked Data for Content Analytics in CELI
- 1. Linked Data for content analytics in Celi Semantics 2014 - Leipzig Alessio Bosca
- 2. Agenda ü Presentation of Celi ü Technologies (and what we do with them) ü Focus on LOD for content analytics in Celi ü … what we’d like to do 2
- 3. 1999 CELI srl was born 2002 Speech Technology 2006 BlogMeter 1999 2005 2010 2013 Korean Market 2011 Cross Library 2010 Milan, Rome, Trento 3
- 4. 4 Seats Torino Milano Trento Roma Italy Belgium France Spain Corea Poland 50 Employees + Collaborators 6 Markets >100 Active clients 4 Business branches 15 Years of experience NLP components Speech technology Social Media Intelligence Digital Humanities 4
- 5. >50 Published papers 15 Research projects Scuola Normale Superiore Università di Torino Università di Pisa Università di Trento Fondazione Bruno Kessler Politecnico di Milano 6 Agreements with research centers Relationships with the scientific community 5
- 6. 6 Core technology opinion mining, mood and sentiment analysis normalization language identification NSW processing morphological tokenization analysis disambiguation chunking and phrasing phonetic transcription with word stress semantic clustering automatic classification named entities
- 7. Techs Guava Kestrel Virtuoso OpenSource 7
- 8. 8 Clients Semantic Solutions Speech Technology Social Media Monitoring
- 9. Linked (and/or Open) Data Linked Data Open Data ? LOD 9
- 10. Private Sector: how Celi exploits L(O)D • as user LODs as linguistic resources for NER, content enrichment, machine linking, discovery search… • as provider for the PA publishing, data integration • internal use (e.g. assets management) • crafting of RDF artifacts for custom projects and applications 10
- 11. LOD for NER • GENDER GUESSER • LOCATION GUESSER • ENTITY LINKER • ETC . 11 INDEXER DUMP CELI TRIPLE STORES INDEXES Linguistic Analysis SPARQL QUERIES SEARCHER CUSTOM RDF WEBAPPS
- 12. Faceted Semantic Search Browse through documents and contents Relations between Facets 12
- 13. LOD for CLIR THE AGROVOC THESAURUS HAS BEEN USED IN THE ORGANIC.LINGU A PROJECT FOR ONTOLOGY-BASED CLIR 13
- 14. Sem-web techs for internal models Information in the CRUNCHED BOOK is represented using combinations of RDF and GRAPH DBS 14
- 15. Public Sector: clear process … acquire data set open license open formats publish 15 Celi for the public sector (CSI Piemonte): the Homer project
- 16. (Public sector contd.) … but … LACK OF MONEY USE OF “STANDARDS” … hard problems OPAQUE DATASETS LACK OF WILLINGNESS POOR RDF/SPARQL SUPPORT 16
- 17. Why companies’ RDF is not published • It reflects customers’ needs • It reflects internal data models HENCE à OVERFITTING: Provocation It would not be interesting nor usable WAY OUTS: having more standard models for particular micro-domains could permit their direct (re)use by the private company (and hence the publication of enhanced versions) 17
- 18. Receipts Public Sector: use “true” LOD technologies (RDF dumps and SPARQL endpoints) Private companies: use standard data models, internally and for their artifacts OpenData Community: please stress the linked in LOD! The success of LOD is bound to the use of Linked Data (as a technology) The use of LD in the Private Sector will positively feedback on the diffusion of the necessary expertise and sensibility in the Public Sector too 18
- 19. Thank You!