Article

SPARQ2L: towards support for subgraph extraction queries in rdf databases

Authors:

Kemafor Anyanwu,

Amit ShethAuthors Info & Claims

WWW '07: Proceedings of the 16th international conference on World Wide Web

Pages 797 - 806

https://doi.org/10.1145/1242572.1242680

Published: 08 May 2007 Publication History

Abstract

Many applications in analytical domains often have the need to "connect the dots" i.e., query about the structure of data. In bioinformatics for example, it is typical to want to query about interactions between proteins. The aim of such queries is to "extract" relationships between entities i.e. paths from a data graph. Often, such queries will specify certain constraints that qualifying results must satisfy e.g. paths involving a set of mandatory nodes. Unfortunately, most present day Semantic Web query languages including the current draft of the anticipated recommendation SPARQL, lack the ability to express queries about arbitrary path structures in data. In addition, many systems that support some limited form of path queries rely on main memory graph algorithms limiting their applicability to very large scale graphs.

In this paper, we present an approach for supporting Path Extraction queries. Our proposal comprises (i) a query language SPARQ2L which extends SPARQL with path variables and path variable constraint expressions, and (ii) a novel query evaluation framework based on efficient algebraic techniques for solving path problems which allows for path queries to be efficiently evaluated on disk resident RDF graphs. The effectiveness of our proposal is demonstrated by a performance evaluation of our approach on both real world based and synthetic dataset.

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Hou PKorn DMelo-Filho CWright DTropsha AChirkova RIves ZBonifati AEl Abbadi A(2022)Compact Walks: Taming Knowledge-Graph Embeddings with Domain- and Task-Specific PathwaysProceedings of the 2022 International Conference on Management of Data10.1145/3514221.3517903(458-469)Online publication date: 10-Jun-2022
https://dl.acm.org/doi/10.1145/3514221.3517903
Ma ZLi GMa RMa ZLi GMa R(2022)Fuzzy RDF QueriesModeling and Management of Fuzzy Semantic RDF Data10.1007/978-3-031-11669-8_5(151-207)Online publication date: 9-Sep-2022
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Index Terms

SPARQ2L: towards support for subgraph extraction queries in rdf databases
1. Information systems
  1. Data management systems
    1. Query languages

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Published In

cover image ACM Conferences

WWW '07: Proceedings of the 16th international conference on World Wide Web

May 2007

1382 pages

ISBN:9781595936547

DOI:10.1145/1242572

General Chairs:
Carey Williamson
University of Calgary, Canada
,
Mary Ellen Zurko
IBM, USA
,
Program Chairs:
Peter Patel-Schneider
Bell Labs Research, USA
,
Prashant Shenoy
University of Massachusetts at Amherst, USA

Copyright © 2007 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Published: 08 May 2007

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WWW'07: 16th International World Wide Web Conference

May 8 - 12, 2007

Alberta, Banff, Canada

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Overall Acceptance Rate 1,899 of 8,196 submissions, 23%

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Cited By

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https://doi.org/10.1109/ICDE55515.2023.00200
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https://dl.acm.org/doi/10.1145/3514221.3517903
Ma ZLi GMa RMa ZLi GMa R(2022)Fuzzy RDF QueriesModeling and Management of Fuzzy Semantic RDF Data10.1007/978-3-031-11669-8_5(151-207)Online publication date: 9-Sep-2022
https://doi.org/10.1007/978-3-031-11669-8_5
Sharma CSinha RJohnson K(2021)Practical and comprehensive formalisms for modelling contemporary graph query languagesInformation Systems10.1016/j.is.2021.101816102:COnline publication date: 1-Dec-2021
https://dl.acm.org/doi/10.1016/j.is.2021.101816
Mehmood QSaleem MJha Ad’Aquin M(2021)Efficient distributed path computation on RDF knowledge graphs using partial evaluationWorld Wide Web10.1007/s11280-021-00965-5Online publication date: 4-Nov-2021
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Figueira D(2021)Foundations of Graph Path Query LanguagesReasoning Web. Declarative Artificial Intelligence 10.1007/978-3-030-95481-9_1(1-21)Online publication date: 8-Sep-2021
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Beheshti ABenatallah BMotahari-Nezhad HGhodratnama SAmouzgar F(2021)BP-SPARQL: A Query Language for Summarizing and Analyzing Big Process DataProcess Querying Methods10.1007/978-3-030-92875-9_2(21-48)Online publication date: 3-Dec-2021
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Li GLi WWang H(2020)Querying Fuzzy RDF Knowledge Graphs Data2020 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)10.1109/FUZZ48607.2020.9177616(1-8)Online publication date: Jul-2020
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