Skip to main content

Ontological Design of Information Retrieval Model for Real Estate Documents

  • Conference paper
  • First Online:
Microservices in Big Data Analytics

Abstract

There is plethora of information lying over Internet which requires effective retrieval such that there is best utilization of information. The scenario becomes all the more critical when it is dealing with semantic information access in e-governance domain. Hence, for an efficient information retrieval in Semantic Web, applying ontological design and rules is the most suitable research technology. This research paper proposes a real estate information retrieval model that will semantically retrieve legal documentation formats for real estate transactions. The paper also depicts the creation of real estate ontology using Protégé 4.3 which shows the formulation of the first step of the model.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 39.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 54.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Similar content being viewed by others

References

  1. Goudos, S.K., Loutas, N., Peristeras, V., Tarabanis, K.: Public administration domain ontology for a semantic web services EGovernment framework. In: 2007 IEEE International Conference on Services Computing (SCC 2007)

    Google Scholar 

  2. Rastogi, N., Verma, P.: Semantically enriched ontologies for information retrieval in Indian E-Governance. In: ACEIT Conference Proceedings (2016)

    Google Scholar 

  3. Rastogi, N., ParulVerma: Comprehensive survey on semantic ontology based Information retrieval techniques in Indian E-governance. IJRISE 2(6) (2016)

    Google Scholar 

  4. Mo, Q., Chen, Y.: Ontology-based web information extraction. In: Zhao, M., Sha, J. (eds.) Communications and Information Processing. Communications in Computer and Information Science, vol. 288. Springer, Berlin, Heidelberg (2012)

    Google Scholar 

  5. Ortiz-Rodriguez, F.: EGO Ontology Model: Law and Regulation Approach for E-Government (2006)

    Google Scholar 

  6. Gómez-Pérez, A., Ortiz-Rodríguez, F., Villazón-Terrazas, B.: Legal Ontologies for the Spanish e-Government. https://doi.org/10.1007/11881216_32. Accessed Nov 2005

    Chapter  Google Scholar 

  7. Ortiz-Rodriguez, F.: Mexican e-government ontologies: an adaptation. In: Fourth LACCEI International Latin American and Caribbean Conference for Engineering and Technology (LACCET’2006), Mayagüez, Puerto Rico, 21–23 June, 2006

    Google Scholar 

  8. Gomez-Perez, A. et. al.: Ontology-based legal information retrieval to improve the information access in e-government. In: ACM Proceedings of the 15th International conference on World Wide Web (2006)

    Google Scholar 

  9. Malviya, N., Mishra, N., Sahu, S.: Developing University Ontology using protégé OWL tool: process and reasoning. Int. J. Scientif. Eng. Res. 2(9), September 2011

    Google Scholar 

  10. Nadia, L.: Design and implementation of information retrieval system based ontology. In: International Conference on Multimedia Computing and Systems. IEEE Explore (2014)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Namrata Rastogi .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2020 Springer Nature Singapore Pte Ltd.

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Rastogi, N., Verma, P., Kumar, P. (2020). Ontological Design of Information Retrieval Model for Real Estate Documents. In: Chaudhary, A., Choudhary, C., Gupta, M., Lal, C., Badal, T. (eds) Microservices in Big Data Analytics. Springer, Singapore. https://doi.org/10.1007/978-981-15-0128-9_7

Download citation

  • DOI: https://doi.org/10.1007/978-981-15-0128-9_7

  • Published:

  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-15-0127-2

  • Online ISBN: 978-981-15-0128-9

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics