Semantic Technologies in ST&DL

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

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

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Digital Libraries and LOD

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2009

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Digital Libraries and LOD

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2010

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Digital Libraries and LOD

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2011

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Digital Libraries and LOD

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2014

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LOD Stats

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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.

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SPAR

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http://sempublishing.sourceforge.net

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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

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ST&DL Ontology Network

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ST&DL Ontology Network

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ST&DL Ontology Network

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ST&DL Ontology Network

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ST&DL Ontology Network

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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

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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

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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

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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

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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!