Location via proxy:   [ UP ]  
[Report a bug]   [Manage cookies]                
skip to main content
10.1145/775152.775249acmconferencesArticle/Chapter ViewAbstractPublication PagesthewebconfConference Proceedingsconference-collections
Article

Ρ-Queries: enabling querying for semantic associations on the semantic web

Published: 20 May 2003 Publication History

Abstract

This paper presents the notion of Semantic Associations as complex relationships between resource entities. These relationships capture both a connectivity of entities as well as similarity of entities based on a specific notion of similarity called r-isomorphism. It formalizes these notions for the RDF data model, by introducing a notion of a Property Sequence as a type. In the context of a graph model such as that for RDF, Semantic Associations amount to specific certain graph signatures. Specifically, they refer to sequences (i.e. directed paths) here called Property Sequences, between entities, networks of Property Sequences (i.e. undirected paths), or subgraphs of r-isomorphic Property Sequences.The ability to query about the existence of such relationships is fundamental to tasks in analytical domains such as national security and business intelligence, where tasks often focus on finding complex yet meaningful and obscured relationships between entities. However, support for such queries is lacking in contemporary query systems, including those for RDF.

References

[1]
S. Abiteboul, P. Buneman, and D. Suciu. Data on the Web: From Relations to Semistructured Data and XML. Morgan Kaufmann, 1999.
[2]
S. Abiteboul. Querying Semi-Structured data. In Proc. of ICDT, Jan 1997. http://citeseer.nj.nec.com/abiteboul97querying.html
[3]
S. Abiteboul, D. Quass, J. McHugh, J. Widom, and J. Wiener. The Lorel Query Language for Semistructured Data. International Journal on Digital Libraries, 1(1):68--88, April 1997.
[4]
S. Abiteboul, R. Hull, and V. Vianu. Foundations of Databases. Addison-Wesley, 1995.
[5]
Agrawal. Alpha: An Extension of Relational Algebra to Expressa Class of Recursive Queries. IEEE Transactions on Software Engineering. 14(7):879-- 885, July 1988.
[6]
R. Agrawal, A. Borgida, and H.V. Jagadish. Efficient Management of Transitive Relationships in Large Data Bases. In SIGMOD'89, pages 253--262, Portland, Oregon, USA, 1989.
[7]
R. Agrawal, T, Imielienski and A. Swami. Mining Assocation Rules between Sets of Items in Large Databases. Proc. Conf. On Management of Data. Washington, DC, USA, 207--216. ACM Press, New York, NY USA 1993.
[8]
S. Alexaki, G. Karvounarakis, V. Christophides, D. Plexousakis, and K. Tolle. The ICS-FORTH RDFSuite: Managing Voluminous RDF Description Bases. In 2nd International Workshop on the Semantic Web, pages 1--13, Hong Kong, 2001.
[9]
S. Alexaki, G. Karvounarakis, V. Christophides, D. Plexousakis, and K. Tolle. On Storing Voluminous RDF descriptions: The case of Web Portal Catalogs. In 4th International Workshop on the Web and Databases (WebDB), Santa Barbara, CA, 2001. Available at http://139.91.183.30:9090/RDF/publications/webdb2001.pdf.
[10]
K. Anyanwu, A. Sheth, The r Operator: Discovering and Ranking Associations on the Semantic Web. SIGMOD Record ( Special issue on Amicalola Workshop http://lsdis.cs.uga.edu/SemNSF/SIGMOD-Record-Dec02.htm), December 2002.
[11]
D. Avant, M. Baum, C. Bertram, M. Fisher, A. Sheth, Y. Warke, "Semantic Technology Applications for Homeland Security," Proc. Of the 11th Intl Conf on Information and Knowledge Management (CIKM 2002), McLean VA, November 4--9, 2002, pp. 611--613.
[12]
L. Babel, I. Ponomarenko, G. Tinhofer. The Isomorphism Problem for Directed Paths and For Rooted Directed Path Graphs. Journal of Algorithms, 21:542--564, 1996.
[13]
T. Berners-Lee, J. Hendler, and O. Lassila. The Semantic Web. Scientific American, May 2001.
[14]
B. Berendt, A. Hotho, G. Stumme. Towards Semantic Web Mining. In Proceedings of the International Semantic Web Conference, pp. 264--278, Sardinia, Italy. June 2002.
[15]
A. Branstadt, V. B. Le, J. P. Spinrad. Graph Classes: A Survey. SIAM 1999.
[16]
T. Bray, J. Paoli, and C.M. Sperberg-McQueen. Extensible Markup Language (XML) 1.0. W3C Recommendation http://www.w3.org/TR/REC-xml/, February 1998.
[17]
D. Brickley and R.V. Guha. Resource Description Framework (RDF) Schema Specification 1.0, W3C Candidate Recommendation. 2000.
[18]
J. Broekstra, A. Kampman, and F. van Harmelen. SESAME: An Architecture for Storing and Querying RDF Data and Schema Information. In D. Fensel, J. Hendler, H. Lieberman, and W. Wahlster, editors, Semantics for the WWW. MIT Press, 2001. http://citeseer.nj.nec.com/broekstra01sesame.html.
[19]
P. Buneman, M. Fernandez, D. Suciu. UnQL: A Query Language and Algebra for Semistructured Data Based on Structural Recursion. VLDB Journal, 9(1):76--110, 2000.
[20]
W. W. Chang mailto:[email protected], A Discussion of the Relationship Between RDF-Schema and UML http://www.w3.org/TR/NOTE-rdf-uml/. A W3C Note, NOTE-rdf-uml-19980804.
[21]
M. Chen, J.Han and P. Yu. Data Mining: An Overview from the Database Perspective. IEEE Trans. On Knowledge and Data Engineering. Vol. 8. No. 6. December 1996.
[22]
V. Christophides, S. Abiteboul, S. Cluet, and M. Scholl. From Structured Documents to Novel Query Facilities. In Proc. of ACM SIGMOD Conf. on Management of Data, pp. 313--324, Minneapolis, Minnesota, May 1994.
[23]
V. Christophides, S. Cluet, and G. Moerkotte. Evaluating Queries with Generalized Path Expressions. In Proc. of ACM SIGMOD, pp.413--422, 1996.
[24]
D. Chamberlin, D. Florescu, J. Robie, J. Simeon, and M. Stefanescu. XQuery: A Query Language for XML. Working draft, World Wide Web Consortium, June 2001. http://www.w3.org/TR/xquery/.
[25]
M. Dean, D. Connolly, F. Harmelen, J.Hendler, I. Horrocks, D. McGuinness, P. F. Patel-Schneider, and L.Stein. OWL Web Ontology Language 1.0 Reference http://www.w3.org/TR/2002/WD-owl-ref-20020729/, W3C Working Draft 29 July 2002. Latest version is available at http://www.w3.org/TR/owl-ref/.
[26]
U. M. Fayyad, G. Piatetsky-Shapiro, P. Smyth and R Uthurusany. Advances in Knowledge Discovery and Data Mining. AAAI/MIT Press 1996.
[27]
R. Fikes. DAML+OIL query language proposal, August 2001. http://www.daml.org/listarchive/joint-committee/0572.html.
[28]
R. H. Guting. GraphDB: Modeling and querying graphs in databases. In Proceedings of the International Conference on Very Large Data Bases, pp. 297--308, 1994.
[29]
B. Hammond, A. Sheth, and K. Kochut, Semantic Enhancement Engine: A Modular Document Enhancement Platform for Semantic Applications over Heterogeneous Content, in Real World Semantic Web Applications, V. Kashyap and L. Shklar, Eds., IOS Press, December2002, pp. 29--49.
[30]
S. Handschuh and S. Staab. Authoring and annotation of web pages in CREAM. In The Eleventh International World Wide Web Conference (WWW2002), Honolulu, Hawaii, USA 7--11 May, 2002.
[31]
F. Harmelen, P. F. Patel-Schneider, I. Horrocks eds. Reference Description of the DAML+OIL (March 2001) ontology markup language.
[32]
M. Hearst. Distinguishing between Web Data Mining and Information Access http://www.sims.berkeley.edu/~hearst/talks/data-mining-panel/sld001.htm. Position statement for Web Data Mining KDD 97.
[33]
Y. E. Ioannidis, R. Ramakrishnan http://www.informatik.uni-trier.de/~ley/db/indices/a-tree/r/Ramakrishnan:Raghu.html, L.Winger http://www.informatik.uni-trier.de/~ley/db/indices/a-tree/w/Winger:Linda.html: Transitive Closure Algorithms Based on Graph Traversal. TODS 18 http://www.informatik.uni-trier.de/~ley/db/journals/tods/tods18.html (3): 512--576 (1993).
[34]
Y. E. Ioannidis, Y. Lashkari, Incomplete Path Expressions and their Disambiguation, In Proc. of the 1994 ACM SIGMOD, International Conference on Management of Data. p.138--149, May 24--27, 1994, Minneapolis, Minnesota, United States.
[35]
P. Hayes. RDF Model Theory. W3C Working Draft, September 2001.
[36]
I. Horrocks, S. Tessaris. The Semantics of DQL. http://www.cs.man.ac.uk/~horrocks/Private/DAML/DQL-semantics.pdf.
[37]
I. Horrocks and S. Tessaris. A Conjunctive Query Language for Description Logic Aboxes. In Proc. of AAAI-00, 2000.
[38]
V. Hristidis and Y. Papakonstanti-nou. DISCOVER : Keyword search in relational databases . In Procs. VLDB, Aug. 2002.
[39]
ICS-FORTH. The ICS-FORTH RDFSuite web site. Available at http://139.91.183.30:9090/RDF, March 2002.
[40]
G. Karvounarakis, S. Alexaki, V. Christophides, D. Plexousakis, M. Scholl, RQL: A Declarative Query Language for RDF, WWW2002, May 7--11, 2002, Honolulu, Hawaii, USA.
[41]
M. S. Lacher and S.Decker. On the Integration of Topic Maps and RDF Data. In Proc. of Semantic Web Working Symposium. Palo Alto. California. August 2001.
[42]
O. Lassila and R. Swick. Resource Description Framework (RDF) Model and Syntax Specification, W3C Recommendation. 1999.
[43]
M. Mannino, L. Shapiro http://www.informatik.uni-trier.de/~ley/db/indices/a-tree/s/Shapiro:Leonard_D=.html, L. Extensions to Query Languages for Graph Traversal Problems. TKDE 2 http://www.informatik.uni-trier.de/~ley/db/journals/tkde/tkde2.html (3): 353--363,1990.
[44]
A. O. Mendelzon and P. T. Wood. Finding Regular Simple Paths in Graph Databases. SIAM J. Comput., 24(6):1235--1258, 1995.
[45]
L. Miller., A. Seaborne, A. Reggiori. Three Implementations of SquishQL, a Simple RDF Query Language. In Proc. of 1st International Semantic Web Conference. ISWC2002. June9--12, 2002, Sardinia, Italy.
[46]
Nanopoulos A. and Manolopoulos Y.: "Mining Patterns from Graph Traversals http://delab.csd.auth.gr/papers/DKE01nm.pdf", Data and Knowledge Engineering, Vol.37, No.3, pp.243--266, 2001.
[47]
J. Rumbaugh, I. Jacobson, and G. Booch. The Unified Modeling Language Reference Manual. Addison-Wesley, 1999.
[48]
A. Seaborne. RDQL: A Data Oriented Query Language for RDF Models. 2001. http://www.hpl.hp.com/semweb/rdql-grammar.html.
[49]
A. Sheth, C. Bertram, D. Avant, B. Hammond, K. Kochut, Y. Warke, Semantic Content Management for Enterprises and the Web, IEEE Internet Computing, July/August 2002, pp. 80--87.
[50]
A. Sheth, S. Thacker and S. Patel. Complex Relationship and Knowledge Discovery Support in the InfoQuilt System. VLDB Journal. September 25, 2002.
[51]
M. Sintek and S. Decker. TRIPLE---A Query, Inference, and Transformation Language for the Semantic Web. International Semantic Web Conference (ISWC) file:///E:/WINDOWS/Desktop/return, Sardinia, June 2002. (http://www.dfki.uni-kl.de/frodo/triple/).
[52]
Tarjan, R. Fast Algorithms for Solving Path Problems. J. ACM Vol. 28, No. 3, July 1891, pp.594--614.
[53]
DQL: DAML Query Language. http://www.daml.org/2002/08/dql/.
[54]
Inkling: RDF query using SquishQL, 2001. http://swordfish.rdfweb.org/rdfquery/.
[55]
ISO/IEC 13250: 2000 Topic Maps, Jan 2000 http://www.topicmaps.org/.
[56]
JENA - A Java API for RDF. http://www-uk.hpl.hp.com/people/bwm/rdf/jena/index.htm.
[57]
Whitepaper on National Security and Intelligence, Semagix Inc. 2002. http://www.semagix.com/pdf/national_security.pdf.

Cited By

View all
  • (2024)On Querying Historical Connectivity in Temporal GraphsProceedings of the ACM on Management of Data10.1145/36549602:3(1-25)Online publication date: 30-May-2024
  • (2022)A Treatise to Metrics and Frameworks for Semantic Social Networks: A Systematic Literature ReviewVFAST Transactions on Software Engineering10.21015/vtse.v10i3.95410:3(90-100)Online publication date: 30-Sep-2022
  • (2022)Personality modeling from image aesthetic attribute-aware graph representation learningJournal of Visual Communication and Image Representation10.1016/j.jvcir.2022.10367589:COnline publication date: 1-Nov-2022
  • Show More Cited By

Index Terms

  1. Ρ-Queries: enabling querying for semantic associations on the semantic web

    Recommendations

    Comments

    Information & Contributors

    Information

    Published In

    cover image ACM Conferences
    WWW '03: Proceedings of the 12th international conference on World Wide Web
    May 2003
    772 pages
    ISBN:1581136803
    DOI:10.1145/775152
    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]

    Sponsors

    Publisher

    Association for Computing Machinery

    New York, NY, United States

    Publication History

    Published: 20 May 2003

    Permissions

    Request permissions for this article.

    Check for updates

    Author Tags

    1. RDF
    2. complex data relationships
    3. graph traversals
    4. semantic associations
    5. semantic web querying

    Qualifiers

    • Article

    Acceptance Rates

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

    Contributors

    Other Metrics

    Bibliometrics & Citations

    Bibliometrics

    Article Metrics

    • Downloads (Last 12 months)22
    • Downloads (Last 6 weeks)2
    Reflects downloads up to 09 Nov 2024

    Other Metrics

    Citations

    Cited By

    View all
    • (2024)On Querying Historical Connectivity in Temporal GraphsProceedings of the ACM on Management of Data10.1145/36549602:3(1-25)Online publication date: 30-May-2024
    • (2022)A Treatise to Metrics and Frameworks for Semantic Social Networks: A Systematic Literature ReviewVFAST Transactions on Software Engineering10.21015/vtse.v10i3.95410:3(90-100)Online publication date: 30-Sep-2022
    • (2022)Personality modeling from image aesthetic attribute-aware graph representation learningJournal of Visual Communication and Image Representation10.1016/j.jvcir.2022.10367589:COnline publication date: 1-Nov-2022
    • (2022)A new Copy-Move forgery detection method using LIOPJournal of Visual Communication and Image Representation10.1016/j.jvcir.2022.10366189:COnline publication date: 1-Nov-2022
    • (2022)Image copy-move forgery detection based on dynamic threshold with dense pointsJournal of Visual Communication and Image Representation10.1016/j.jvcir.2022.10365889:COnline publication date: 1-Nov-2022
    • (2022)Single underwater image haze removal with a learning-based approach to blurriness estimationJournal of Visual Communication and Image Representation10.1016/j.jvcir.2022.10365689:COnline publication date: 1-Nov-2022
    • (2022)Blind deblurring with fractional-order calculus and local minimal pixel priorJournal of Visual Communication and Image Representation10.1016/j.jvcir.2022.10364589:COnline publication date: 1-Nov-2022
    • (2022)AS-NetJournal of Visual Communication and Image Representation10.1016/j.jvcir.2022.10363989:COnline publication date: 1-Nov-2022
    • (2022)From synthetic to natural — single natural image dehazing deep networks using synthetic dataset domain randomizationJournal of Visual Communication and Image Representation10.1016/j.jvcir.2022.10363689:COnline publication date: 1-Nov-2022
    • (2022)A new self-supervised task on graphsInformation Sciences: an International Journal10.1016/j.ins.2022.06.046607:C(1195-1210)Online publication date: 1-Aug-2022
    • Show More Cited By

    View Options

    Get Access

    Login options

    View options

    PDF

    View or Download as a PDF file.

    PDF

    eReader

    View online with eReader.

    eReader

    Media

    Figures

    Other

    Tables

    Share

    Share

    Share this Publication link

    Share on social media