Approximate and selective reasoning on knowledge graphs: A distributional semantics approach-Reference-Cited by-同舟云学术

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Approximate and selective reasoning on knowledge graphs: A distributional semantics approach

Published:2015-11 Issue: Volume:100 Page:211-225
ISSN:0169-023X
Container-title:Data & Knowledge Engineering
language:en
Short-container-title:Data & Knowledge Engineering

Author:

Freitas André,da Silva João C.P.,Curry Edward,Buitelaar Paul

Publisher

Elsevier BV

Subject

Information Systems and Management

Reference13 articles.

1. Distributional structured semantic space for querying RDF graph data;Freitas;Int. J. Semant. Comput.,2011

2. A distributional approach for terminology-level semantic search on the linked data web;Freitas,2012

3. Computing semantic relatedness using Wikipedia-based explicit semantic analysis;Gabrilovich,2007

4. The fundamentals of iSPARQL: a virtual triple approach for similarity-based semantic web tasks;Kiefer;Lect. Notes Comput. Sci,2007

5. AnalogySpace: reducing the dimensionality of common sense knowledge;Speer,2008

Cited by 3 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Advanced Attention for Causality Classification of Verb Nodes of Knowledge Graph;Proceedings of the 7th International Conference on Algorithms, Computing and Systems;2023-10-19

2. Data Visualization Analysis of Knowledge Graph Application;2021 2nd International Conference on Artificial Intelligence and Information Systems;2021-05-28

3. Towards knowledge modeling and manipulation technologies: A survey;International Journal of Information Management;2016-12

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