Top-k Relevant Semantic Place Retrieval on Spatial RDF Data

Author:

Shi Jieming1,Wu Dingming2,Mamoulis Nikos3

Affiliation:

1. University of Hong Kong, Hong Kong, China

2. Shenzhen University, Shenzhen, China

3. University of Ioannina, Ioannina, Greece

Funder

Hong Kong RGC

EU

National Nat- ural Science Foundation of China

Publisher

ACM

Reference60 articles.

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

2. Bbc lab post. http://www.bbc.co.uk/blogs/internet/entries/63841314-c3c6--33d2-a7b8-f58ca040a65b. Bbc lab post. http://www.bbc.co.uk/blogs/internet/entries/63841314-c3c6--33d2-a7b8-f58ca040a65b.

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

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

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

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2. 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

3. Proportionality on Spatial Data with Context;ACM Transactions on Database Systems;2023-05-13

4. DKWS: A Distributed System for Keyword Search on Massive Graphs;IEEE Transactions on Knowledge and Data Engineering;2023

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