Conference Linked Data: the ScholarlyData project
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Conference Linked Data: The ScholarlyData Project
Andrea Giovanni Nuzzolese1 - Anna Lisa Gentile2
Valentina Presutti1 - Aldo Gangemi1,3
1. STLab, ISTC-CNR, Rome , Italy2. Data and Web Science Group, University of Mannheim, Germany
3. LIPN, Université Paris 13, Sorbone Cité, UMR CNRS, Paris, France
October 20th 2016 - Kōbe, Japan
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• Dataset refactoring from SWDF to ScholarlyData• best ontology design practices• permanent URIs• ontology alignment to other pertinent ontologies/vocabularies. e.g. SPAR,
Organization Ontology, FOAF, SKOS
• Data enhancement• more linking with other datasets
• New data generation workflow
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What we did
Before
After
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Objectives
• Providing a sustainable and well grounded linked open dataset about scholarly facts
• Fostering a healthy growth of the dataset beyond the Semantic Web community
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• Since 2006 the Semantic Web community encourages the publication of Linked Data about scientific conferences in the field
• The Semantic Web Dog Food (SWDF) • reference linked dataset of the Semantic Web community• papers, people, organisations, and events• organised according to the Semantic Web Conference (SWC) ontology• collaborative data generation model
Background
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• Lack of clear guidelines
• Use of vocabularies no longer maintained or existing• swrc-ext and xmllondon vocabularies
• Naïve usage of classes and properties• swc:room, swc:editorList, swc:completeGraph, swc:IW3C2Liaison
• Misuse of properties
• Knowledge representation issues that prevent proper querying and reasoning
• modelling of affiliations, roles and lists
SWDF current status and motivations
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Affiliations: SWDF
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Affiliations: SWDF
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Affiliations: SWDF
What was the affiliation of Andrea Giovanni Nuzzolese when he authored the paper “Gathering Lexical Linked Data and Knowledge Patterns from FrameNet”?
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Affiliations: SWDF
What was the affiliation of Andrea Giovanni Nuzzolese when he authored the paper “Gathering Lexical Linked Data and Knowledge Patterns from FrameNet”?
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Affiliations: ScholarlyData
Time-indexed-situation ODP
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Roles: SWDF
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Roles: SWDF
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Roles: SWDF
• Roles defined locally to each conference• 1,717 distinct individuals in the current dataset that truly represent a set of only
34 unique roles
• Difficult to answer queries where generalisation is needed• e.g. “Who were the general chairs at ESWC conferences?”
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Roles: ScholarlyData
Time-indexed-person-role ODP
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Lists: SWDF
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Lists: SWDF
• OWL reasoning on RDF containers very hard [1]
[1] P. Ciccarese and S .Peroni, 2014. The Collections Ontology: creating and handling collections in OWL 2 DL frameworks. Semantic Web, 5(6), 515-529. DOI: 10.3233/SW-130121
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Lists: ScholarlyData
Sequence ODP
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cLODg - conference Linked Open Data generator
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• Novel self-contained conference-ontology • fixes issues of SWC ontology• aligned to SWC, SPAR, W3C Organization Ontology, FOAF, SKOS• best ontology design practices [2]
• New dataset of scholarly facts • refactoring of SWDF
• Novel data generation workflow (cLODg)• support collaborative data generation• opensource on GitHub https://github.com/anuzzolese/cLODg2
[2] P. Hitzler, A. Gangemi, K. Janowicz, A. Krisnadhi, and V. Presutti, 2016. Ontology Engineering with Ontology Design Patterns: Foundations and Applications
ScholarlyData
http
s://w
3id.
org/
scho
larl
ydat
a/
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Data details
• 1,128,618 triples about 93,519 individuals
• 34 roles at global level instead of SWDF 1,717 roles at conference level
• instance level alignments to ORCID (~800 people) and DOI (~1K papers)
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Resources
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• Evaluation of the resource
• Introduction of more sophisticated components to deal with instance matching in the cLODg workflow
• Integration with OpenCitations
• Fostering collaboration with Conference Management System providers to provide cLODg as a build-in facility in the systems
Future work
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Thank you