The document discusses the role of Linked Open Data (LOD) in enhancing the accessibility and interlinking of scholarly and bibliographic resources on the semantic web. It presents tools and frameworks developed by the stlab, including ontologies for RDF metadata creation, a portal for data exposure, and systems for similarity detection in bibliographic resources. Ongoing efforts focus on improving citation networks and user interaction with bibliographic data through integration with other research services.

1. STLab ISTC - CNR
Semantic Technologies in
8 June 2015 - Rome, Italy
Andrea Giovanni Nuzzolese
STLab, Institute of Cognitive Science and Technology, National Research Council, Italy

2. STLab ISTC - CNR
Linked Data
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• Linked (Open) Data (LOD) is a set of best practices for
• exposing, sharing, and connecting pieces of data on the Semantic Web
using URIs and RDF
• enabling interlinking and semantic queries
• providing machine readable contents
• LOD 5-stars

3. STLab ISTC - CNR
Digital Libraries and LOD
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2009

4. STLab ISTC - CNR
Digital Libraries and LOD
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2010

5. STLab ISTC - CNR
Digital Libraries and LOD
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2011

6. STLab ISTC - CNR
Digital Libraries and LOD
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2014

7. STLab ISTC - CNR
LOD Stats
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8. STLab ISTC - CNR
Semantic Publishing
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• The knowledge management of scholarly and bibliographic
products in the Semantic Web
• Aimed at
• contributing to the realisation of the Linked Data for scholarly
products
• providing access to semantic enhanced scholarly products
• enabling a variety of tasks focused on the exploitation of scholarly
data such as knowledge discovery, knowledge exploration and data
integration.

9. STLab ISTC - CNR
SPAR
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http://sempublishing.sourceforge.net

10. STLab ISTC - CNR
SPAR in ST&DL
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• SPAR ontologies form a suite of orthogonal and
complementary ontology modules for
• creating machine-readable RDF metadata for bibliographic entities
• describing more complex information, such as publishing roles,
rhetoric of citations, documents, etc.
• ST&DL uses SPAR ontologies as reference models for
organizing and representing bibliographic data as LOD

11. STLab ISTC - CNR
ST&DL Ontology Network
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12. STLab ISTC - CNR
ST&DL Ontology Network
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13. STLab ISTC - CNR
ST&DL Ontology Network
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14. STLab ISTC - CNR
ST&DL Ontology Network
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15. STLab ISTC - CNR
ST&DL Ontology Network
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16. STLab ISTC - CNR
ST&DL LOD Portal
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• Exposes data as RDF via content negotiation
• Provides a SPARQL endpoint for querying
• data
• ontologies
• data+ontologies
• Will be available at data.stdl.cnr.it

17. STLab ISTC - CNR
ST&DL as LOD: tools
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• SPARifier
• a framework for converting ST&DL non-RDF
data to LOD
• MACJa: Metadata And Citations
Jailbreaker
• processing PDF files in order to extract
relevant semantic according to SPAR
• CiTalO
• automatic typing of citations wrt to CiTO
ontology

18. STLab ISTC - CNR
Reusing Linked Data for similarity detection
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• Recommendation system for bibliographic resources based
on
• similarity detection by exploiting titles, abstracts and keywords
• an approach that relies on the semiotic indexing of resources

19. STLab ISTC - CNR
Enhancing content with Linked Data
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• Enriching bibliographic resource by linking content with
Linked Data
• data.stdl.cnr.it and external datasets
• Providing more advanced knowledge-oriented interactions
• improving exploration and user experience
• improving automatic reasoning
http://wit.istc.cnr.it/stdl-demo

20. STLab ISTC - CNR
Ongoing work
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• Opening of data.stdl.cnr.it
• Generating citation networks with citation types
• citations as tools for linking, disseminating, exploring, evaluating
research
• Linking with other services, e.g.,
• DOI
• ORCID
• CrossRef
• ScienceDirect
• Adding social interaction

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Thank you!