demonstration

CoSi: context-sensitive keyword query interpretation on RDF databases

Authors:

Haizhou Fu,

Sidan Gao,

Kemafor AnyanwuAuthors Info & Claims

WWW '11: Proceedings of the 20th international conference companion on World wide web

Pages 209 - 212

https://doi.org/10.1145/1963192.1963291

Published: 28 March 2011 Publication History

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Abstract

The demo will present CoSi, a system that enables context-sensitive interpretation of keyword queries on RDF databases. The techniques for representing, managing and exploiting query history are central to achieving this objective. The demonstration will show the effectiveness of our approach for capturing a user's querying context from their query history. Further, it will show how context is utilized to influence the interpretation of a new query. The demonstration is based on DBPedia, the RDF representation of Wikipedia.

References

[1]

Auer, S., Bizer, C., Kobilarov, G., Lehmann, J., Cyganiak, R., and Ives, Z. G. Dbpedia: A nucleus for a web of open data. In ISWC/ASWC (2007), pp. 722--735.

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Kasneci, G., Ramanath, M., Sozio, M., Suchanek, F. M., and Weikum, G. Star: Steiner-tree approximation in relationship graphs. In ICDE (2009), pp. 868--879.

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[3]

Shi, X., and Yang, C. C. Mining related queries from search engine query logs. In WWW (2006), pp. 943--944.

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Tran, T., Wang, H., Rudolph, S., and Cimiano, P. Top-k exploration of query candidates for efficient keyword search on graph-shaped (rdf) data. In ICDE (2009), pp. 405--416.

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[5]

Wang, H., Zhang, K., Liu, Q., Tran, T., and Yu, Y. Q2semantic: A lightweight keyword interface to semantic search. In ESWC (2008), pp. 584--598.

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Cited By

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Li MPeng PTian ZQin ZHuang ZLiu Y(2023)Optimizing Keyword Search Over Federated RDF SystemsIEEE Transactions on Big Data10.1109/TBDATA.2022.32247499:3(918-935)Online publication date: 1-Jun-2023
https://doi.org/10.1109/TBDATA.2022.3224749
Ma ZLin XYan LZhao Z(2018)RDF Keyword Search by Query ComputationJournal of Database Management10.4018/JDM.201810010129:4(1-27)Online publication date: 1-Oct-2018
https://doi.org/10.4018/JDM.2018100101
Sinha SLu XTheodoratos DDesai BFlesca SZumpano EMasciari ECaroprese L(2018)Personalized Keyword Search on Large RDF Graphs based on Pattern Graph SimilarityProceedings of the 22nd International Database Engineering & Applications Symposium10.1145/3216122.3216167(12-21)Online publication date: 18-Jun-2018
https://dl.acm.org/doi/10.1145/3216122.3216167
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Index Terms

CoSi: context-sensitive keyword query interpretation on RDF databases
1. Information systems
  1. Data management systems
    1. Database management system engines
      1. Database query processing
  2. Information retrieval
    1. Information retrieval query processing
2. Theory of computation
  1. Theory and algorithms for application domains
    1. Database theory
      1. Database query processing and optimization (theory)

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Published In

WWW '11: Proceedings of the 20th international conference companion on World wide web

March 2011

552 pages

ISBN:9781450306379

DOI:10.1145/1963192

General Chairs:
S. Sadagopan
IIIT-Bangalore, India
,
Krithi Ramamritham
IIT-Bombay, India
,
Arun Kumar
IBM Research, India
,
M. P. Ravindra
Infosys E & R, India
,
Program Chairs:
Elisa Bertino
Purdue University, USA
,
Ravi Kumar
Yahoo! Research, USA

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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SIGWEB: ACM Special Interest Group on Hypertext, Hypermedia, and Web
The International Institute of Information Technology Bangalore: The International Institute of Information Technology Bangalore

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Association for Computing Machinery

New York, NY, United States

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Published: 28 March 2011

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WWW '11

WWW '11: 20th International World Wide Web Conference

March 28 - April 1, 2011

Hyderabad, India

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

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Li MPeng PTian ZQin ZHuang ZLiu Y(2023)Optimizing Keyword Search Over Federated RDF SystemsIEEE Transactions on Big Data10.1109/TBDATA.2022.32247499:3(918-935)Online publication date: 1-Jun-2023
https://doi.org/10.1109/TBDATA.2022.3224749
Ma ZLin XYan LZhao Z(2018)RDF Keyword Search by Query ComputationJournal of Database Management10.4018/JDM.201810010129:4(1-27)Online publication date: 1-Oct-2018
https://doi.org/10.4018/JDM.2018100101
Sinha SLu XTheodoratos DDesai BFlesca SZumpano EMasciari ECaroprese L(2018)Personalized Keyword Search on Large RDF Graphs based on Pattern Graph SimilarityProceedings of the 22nd International Database Engineering & Applications Symposium10.1145/3216122.3216167(12-21)Online publication date: 18-Jun-2018
https://dl.acm.org/doi/10.1145/3216122.3216167
Fu HKim HAnyanwu K(2013)Scaling concurrency of personalized Semantic search over Large RDF data2013 IEEE International Conference on Big Data10.1109/BigData.2013.6691622(556-562)Online publication date: Oct-2013
https://doi.org/10.1109/BigData.2013.6691622

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A session-based search engine

Measuring usefulness of context for context-aware ranking

Context-sensitive information retrieval using implicit feedback

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