A Novel Approach for Extracting Summarized RDF Graph from Heterogeneous Corpus
Author:
Affiliation:
1. El Manar University, FST Tunis, University Pau & Pays Adour,SERCOM Laboratory, LIUPPA,Anglet,France
2. University Pau & Pays Adour LIUPPA,Anglet,France
3. Carthage University,Polytechnic School of Tunisia, SERCOM Laboratory, INSAT,Tunis,Tunisia
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10310305/10310314/10310645.pdf?arnumber=10310645
Reference19 articles.
1. Graph Compression Strategies for Instance-Focused Semantic Mining
2. Towards benefit-based RDF source selection for SPARQL queries
3. ABSTAT: Linked Data Summaries with ABstraction and STATistics
4. Extracting core knowledge from linked data;presutti;Proceedings of the Second International Workshop on Consuming Linked Data (COLD2011),0
5. RDF graph summarization based on approximate patterns;zneika;Information Search Integration and Personalization—10th International Workshop ISIP 2015,2015
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1. HERSE: Handling and Enhancing RDF Summarization Through Blank Node Elimination;Lecture Notes in Computer Science;2024
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