link discovery tutorial part v: hands-on
TRANSCRIPT
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Link Discovery TutorialPart 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, 2016Kobe, Japan
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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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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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Test Dataset
Semantic Web Dog Food CorpusData exposed: Metadata (papers, presentations, people) for several semantic webrelated conferences and workshops, including the most recent ISWC, ESWC andWWW events.
Dumps: http://data.semanticweb.org/dumpsEndpoint: http://data.semanticweb.org/sparqlDataHub: https://datahub.io/dataset/semantic-web-dog-foodDownload:http://iswc2016ldtutorial.aksw.org/tutorial-material/
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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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Task I: DeduplicationExecute the given Configuration File
Decentralized nature of LODData contain duplicatesHow to efficiently detect similar resources?
Task IFind duplicate authors in Semantic Web Dog Food Dataset
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Task I: DeduplicationExecute the given Configuration File
Decentralized nature of LODData contain duplicatesHow to efficiently detect similar resources?
Task IFind duplicate authors in Semantic Web Dog Food Dataset
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Limes Configuration FilePREFIXes
<PREFIX ><NAMESPACE >http :// www.w3.org /2000/01/ rdf - schema #</ NAMESPACE ><LABEL >rdfs </ LABEL >
</ PREFIX >
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Limes Configuration FileSOURCE 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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Limes Configuration FileMETRIC
<METRIC >Levenshtein (x.rdfs: label , y.rdfs: label )</ METRIC >
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Limes Configuration FileACCEPTANCE 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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Limes Configuration FileOUTPUT format
<OUTPUT >TTL </ OUTPUT >
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Task IRun Limes
Run Limesjava -jar limes-core-1.0.0.jar task1.xml
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Task IUsing Machine Learning
<MLALGORITHM ><NAME >wombat simple </NAME ><TYPE >unsupervised </TYPE >
</ MLALGORITHM >
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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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Task IIFind similar publications
1 Find publications2 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 itselfMINUS(jaccard(x.swrc:listKeyword , y.swrc:listKeyword)|0.3,ExactMatch(x.swrc:listKeyword , y.swrc:listKeyword)|1.0)
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Task IIFind similar publications
1 Find publications2 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 itselfMINUS(jaccard(x.swrc:listKeyword , y.swrc:listKeyword)|0.3,ExactMatch(x.swrc:listKeyword , y.swrc:listKeyword)|1.0)
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Task IIFind similar publications
1 Find publications2 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 itselfMINUS(jaccard(x.swrc:listKeyword , y.swrc:listKeyword)|0.3,ExactMatch(x.swrc:listKeyword , y.swrc:listKeyword)|1.0)
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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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Task IIIUse Limes GUI
Run Limes GUIjava -jar limes-core-1.0.0.jar -g
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Acknowledgment
This work was supported by grants from the EU H2020 Framework Programmeprovided for the project HOBBIT (GA no. 688227).
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References I
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