Top-k Relevant Semantic Place Retrieval on Spatial RDF Data Article Swipe
J. Y. Shi
,
Dingming Wu
,
Nikos Mamoulis
·
YOU?
·
· 2016
· Open Access
·
· DOI: https://doi.org/10.1145/2882903.2882941
YOU?
·
· 2016
· Open Access
·
· DOI: https://doi.org/10.1145/2882903.2882941
RDF data are traditionally accessed using structured query languages, such as SPARQL. However, this requires users to understand the language as well as the RDF schema. Keyword search on RDF data aims at relieving the user from these requirements; the user only inputs a set of keywords and the goal is to find small RDF subgraphs which contain all keywords. At the same time, popular RDF knowledge bases also include spatial semantics, which opens the road to location-based search operations. In this work, we propose and study a novel location-based keyword search query on RDF data. The objective of top-κ relevant semantic places (κSP) retrieval is to find RDF subgraphs which contain the query keywords and are rooted at spatial entities close to the query location. The novelty of κSP queries is that they are location-aware and that they do not rely on the use of structured query languages. We design a basic method for the processing of κSP queries. To further accelerate κSP retrieval, two pruning approaches and a data preprocessing technique are proposed. Extensive empirical studies on two real datasets demonstrate the superior and robust performance of our proposals compared to the basic method. © 2016 ACM.
Related Topics
Concepts
Computer science
SPARQL
RDF
Information retrieval
RDF query language
RDF Schema
RDF/XML
Simple Knowledge Organization System
Query language
Cwm
Web search query
Web query classification
Semantic Web
Search engine
Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1145/2882903.2882941
- OA Status
- green
- Cited By
- 25
- References
- 52
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W2423816654
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W2423816654Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.1145/2882903.2882941Digital Object Identifier
- Title
-
Top-k Relevant Semantic Place Retrieval on Spatial RDF DataWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
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2016Year of publication
- Publication date
-
2016-06-16Full publication date if available
- Authors
-
J. Y. Shi, Dingming Wu, Nikos MamoulisList of authors in order
- Landing page
-
https://doi.org/10.1145/2882903.2882941Publisher landing page
- Open access
-
YesWhether a free full text is available
- OA status
-
greenOpen access status per OpenAlex
- OA URL
-
https://zenodo.org/record/3507782Direct OA link when available
- Concepts
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Computer science, SPARQL, RDF, Information retrieval, RDF query language, RDF Schema, RDF/XML, Simple Knowledge Organization System, Query language, Cwm, Web search query, Web query classification, Semantic Web, Search engineTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
25Total citation count in OpenAlex
- Citations by year (recent)
-
2024: 3, 2023: 4, 2021: 4, 2020: 3, 2019: 5Per-year citation counts (last 5 years)
- References (count)
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52Number of works referenced by this work
- Related works (count)
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10Other works algorithmically related by OpenAlex
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