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Answering top-K query combined keywords and structural queries on RDF graphs

  • Published:2017-07 Issue: Volume:67 Page:19-35
  • ISSN:0306-4379
  • Container-title:Information Systems
  • language:en
  • Short-container-title:Information Systems

Author:

Peng Peng,Zou Lei,Qin Zheng

Funder

National Science Foundation of China

Publisher

Elsevier BV

Subject

Hardware and Architecture,Information Systems,Software

Reference43 articles.

1. Yago: a core of semantic knowledge;Suchanek,2007

2. Semantics and complexity of SPARQL;Pérez;ACM Trans. Database Syst.,2009

3. A pivotal prefix based filtering algorithm for string similarity search;Deng,2014

4. The google similarity distance;Cilibrasi;IEEE Trans. Knowl. Data Eng.,2007

5. BANKS: browsing and keyword searching in relational databases;Aditya,2002

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1. A Cost-Driven Top-K Queries Optimization Approach on Federated RDF Systems;IEEE Transactions on Big Data;2023-04-01

2. Finding Minimum Connected Subgraphs With Ontology Exploration on Large RDF Data;IEEE Transactions on Knowledge and Data Engineering;2022

3. RDF knowledge graph keyword type search using frequent patterns;Journal of Intelligent & Fuzzy Systems;2021-08-11

4. A Keyword Query Approach Based on Community Structure of RDF Entity Graph;2021 IEEE 45th Annual Computers, Software, and Applications Conference (COMPSAC);2021-07

5. Detection of malicious Android applications using Ontology-based intelligent model in mobile cloud environment;Journal of Information Security and Applications;2021-05
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