Semantic Publishing at the IET
Georgi Georgiev, Marin Dimitrov
ISWC 2015
The Challenge
• IET is one of the biggest scientific publishers
−60 M scientific articles dating back from 1960 (1M new articles per year)
−Data aggregated from 1,000+ publishers
• Manual tagging / enrichment process
−Expensive expert annotators, time consuming, error prone, not scalable
• How to make content more useful to users?
−Improved search & discovery, recommendation of related content, analytics
2ISWC 2015Semantic Publishing at the IET
The Solution
• Based on Ontotext’s Semantic Publishing Platform
− Text analytics based on a SKOS vocabulary
− New terms identification
− Disambiguation of authors & organisations
− Enrichment with LOD data
− Recommendation of related content
− Analytics of the RDF graph
▪ related entities, trending topics
− Semantic search & content exploration
3ISWC 2015Semantic Publishing at the IET
The Solution
4ISWC 2015Semantic Publishing at the IET
Trending
topics
Related
entities
Related terms
(SKOS)
The Solution
5ISWC 2015Semantic Publishing at the IET
Related
articles
Authors &
organisations
Related terms
(SKOS)
Related
keywords
Key Benefits
• Enhanced content publishing
−Automated metadata annotation for articles
−Time & cost savings
−Identification of new terms (for extending the SKOS vocabulary)
−Metadata graph easy to re-purpose
• Enhanced content consumption
−Semantic search, easy navigation
−Related entities & content
6ISWC 2015Semantic Publishing at the IET
Thank You!
Semantic Publishing at the IET

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Semantic Publishing at the IET

  • 1. Semantic Publishing at the IET Georgi Georgiev, Marin Dimitrov ISWC 2015
  • 2. The Challenge • IET is one of the biggest scientific publishers −60 M scientific articles dating back from 1960 (1M new articles per year) −Data aggregated from 1,000+ publishers • Manual tagging / enrichment process −Expensive expert annotators, time consuming, error prone, not scalable • How to make content more useful to users? −Improved search & discovery, recommendation of related content, analytics 2ISWC 2015Semantic Publishing at the IET
  • 3. The Solution • Based on Ontotext’s Semantic Publishing Platform − Text analytics based on a SKOS vocabulary − New terms identification − Disambiguation of authors & organisations − Enrichment with LOD data − Recommendation of related content − Analytics of the RDF graph ▪ related entities, trending topics − Semantic search & content exploration 3ISWC 2015Semantic Publishing at the IET
  • 4. The Solution 4ISWC 2015Semantic Publishing at the IET Trending topics Related entities Related terms (SKOS)
  • 5. The Solution 5ISWC 2015Semantic Publishing at the IET Related articles Authors & organisations Related terms (SKOS) Related keywords
  • 6. Key Benefits • Enhanced content publishing −Automated metadata annotation for articles −Time & cost savings −Identification of new terms (for extending the SKOS vocabulary) −Metadata graph easy to re-purpose • Enhanced content consumption −Semantic search, easy navigation −Related entities & content 6ISWC 2015Semantic Publishing at the IET