This document provides an overview of hands-on tasks for a link discovery tutorial using the Limes framework. It describes a test dataset, and three tasks: 1) executing a provided Limes configuration to detect duplicate authors, 2) creating a configuration to find similar publications based on keywords, and 3) using the Limes GUI.

1. Link Discovery Tutorial
Part V: Hands-On
Axel-Cyrille Ngonga Ngomo(1)
, Irini Fundulaki(2)
, Mohamed Ahmed Sherif(1)
(1) Institute for Applied Informatics, Germany
(2) FORTH, Greece
October 18th, 2016
Kobe, Japan
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2. Table of Contents
1 Test Dataset
2 Task I: Execute given Limes Configuration
3 Task II: Create your first Limes Configuration
4 Task III: Use Limes GUI
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3. Table of Contents
1 Test Dataset
2 Task I: Execute given Limes Configuration
3 Task II: Create your first Limes Configuration
4 Task III: Use Limes GUI
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4. Test Dataset
Semantic Web Dog Food Corpus
Data exposed: Metadata (papers, presentations, people) for several semantic web
related conferences and workshops, including the most recent ISWC, ESWC and
WWW events.
Dumps: http://data.semanticweb.org/dumps
Endpoint: http://data.semanticweb.org/sparql
DataHub: https://datahub.io/dataset/semantic-web-dog-food
Download:
http://iswc2016ldtutorial.aksw.org/tutorial-material/
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5. Table of Contents
1 Test Dataset
2 Task I: Execute given Limes Configuration
3 Task II: Create your first Limes Configuration
4 Task III: Use Limes GUI
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6. Task I: Deduplication
Execute the given Configuration File
Decentralized nature of LOD
Data contain duplicates
How to efficiently detect similar resources?
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7. Task I: Deduplication
Execute the given Configuration File
Decentralized nature of LOD
Data contain duplicates
How to efficiently detect similar resources?
Task I
Find duplicate authors in Semantic Web Dog Food Dataset
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8. Limes Configuration File
PREFIXes
<PREFIX >
<NAMESPACE >http :// www.w3.org /2000/01/ rdf -schema#</NAMESPACE >
<LABEL >rdfs </LABEL >
</PREFIX >
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9. Limes Configuration File
SOURCE and TARGET datasets
<SOURCE >
<ID>SDF1 </ID>
<ENDPOINT >semanticDogFood .nt</ENDPOINT >
<VAR >?x</VAR>
<PAGESIZE >-1</PAGESIZE >
<RESTRICTION >?x a foaf:Person </ RESTRICTION >
<PROPERTY >rdfs:label </PROPERTY >
<TYPE >NT</TYPE >
</SOURCE >
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10. Limes Configuration File
METRIC
<METRIC >Levenshtein(x.rdfs:label , y.rdfs:label)</METRIC >
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11. Limes Configuration File
ACCEPTANCE and REVIEW
<ACCEPTANCE >
<THRESHOLD >0.9</THRESHOLD >
<FILE >similarAuthor .nt</FILE >
<RELATION >ov:similarTo </RELATION >
</ACCEPTANCE >
<REVIEW >
<THRESHOLD >0.5 </THRESHOLD >
<FILE >similarAuthor_review .nt</FILE >
<RELATION >owl:sameAs </RELATION >
</REVIEW >
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12. Limes Configuration File
OUTPUT format
<OUTPUT >TTL</OUTPUT >
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13. Task I
Run Limes
Run Limes
java -jar limes-core-1.0.0.jar task1.xml
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14. Task I
Using Machine Learning
<MLALGORITHM >
<NAME >wombat simple </NAME >
<TYPE >unsupervised </TYPE >
</ MLALGORITHM >
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15. Table of Contents
1 Test Dataset
2 Task I: Execute given Limes Configuration
3 Task II: Create your first Limes Configuration
4 Task III: Use Limes GUI
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16. Task II
Find similar publications
1 Find publications
2 with similar keyword, but do not link any publication to itself
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17. Task II
Find similar publications
1 Find publications
2 with similar keyword, but do not link any publication to itself
1. Find publications
?x a swrc:InProceedings
?y a swrc:InProceedings
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18. Task II
Find similar publications
1 Find publications
2 with similar keyword, but do not link any publication to itself
1. Find publications
?x a swrc:InProceedings
?y a swrc:InProceedings
2. with similar keyword, but do not link any publication to itself
MINUS(jaccard(x.swrc:listKeyword , y.swrc:listKeyword)|0.3,
ExactMatch(x.swrc:listKeyword , y.swrc:listKeyword)|1.0)
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19. Table of Contents
1 Test Dataset
2 Task I: Execute given Limes Configuration
3 Task II: Create your first Limes Configuration
4 Task III: Use Limes GUI
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20. Task III
Use Limes GUI
Run Limes GUI
java -jar limes-core-1.0.0.jar -g
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21. Acknowledgment
This work was supported by grants from the EU H2020 Framework Programme
provided for the project HOBBIT (GA no. 688227).
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22. References I
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