Top-k relevant semantic place retrieval on spatiotemporal RDF data-Reference-Cited by-同舟云学术

Top-k relevant semantic place retrieval on spatiotemporal RDF data

Author:

Wu Dingming^ORCID,Zhou Hao,Shi Jieming,Mamoulis Nikos

Funder

National Natural Science Foundation of China

Publisher

Springer Science and Business Media LLC

Subject

Hardware and Architecture,Information Systems

Link

Reference67 articles.

1. Alternative fueling station locator. http://www.afdc.energy.gov/locator/stations/

2. Crime in chicagoland. http://crime.chicagotribune.com/

3. Data.gov. http://www.data.gov

4. Dbpedia. http://wiki.dbpedia.org

5. Hospital compare. http://health.data.gov/def/cqld

Cited by 7 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

2. Subgraph Matching of Spatiotemporal RDF Data;Advances in Systems Analysis, Software Engineering, and High Performance Computing;2023-12-15

4. Exploiting Cluster-Skipping Inverted Index for Semantic Place Retrieval;Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval;2023-07-18

5. Spatiotemporal RDF Data Query Based on Subgraph Matching;ISPRS International Journal of Geo-Information;2021-12-12