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Hybrid Semantic Ontology Data (HSOD) Analysis Algorithm for Heterogeneous Tourism Information

S. Subhalakshmi1 , C. Premila Rosy2

Section:Research Paper, Product Type: Journal Paper
Volume-07 , Issue-04 , Page no. 181-183, Feb-2019

Online published on Feb 28, 2019

Copyright © S. Subhalakshmi, C. Premila Rosy . This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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IEEE Style Citation: S. Subhalakshmi, C. Premila Rosy, “Hybrid Semantic Ontology Data (HSOD) Analysis Algorithm for Heterogeneous Tourism Information,” International Journal of Computer Sciences and Engineering, Vol.07, Issue.04, pp.181-183, 2019.

MLA Style Citation: S. Subhalakshmi, C. Premila Rosy "Hybrid Semantic Ontology Data (HSOD) Analysis Algorithm for Heterogeneous Tourism Information." International Journal of Computer Sciences and Engineering 07.04 (2019): 181-183.

APA Style Citation: S. Subhalakshmi, C. Premila Rosy, (2019). Hybrid Semantic Ontology Data (HSOD) Analysis Algorithm for Heterogeneous Tourism Information. International Journal of Computer Sciences and Engineering, 07(04), 181-183.

BibTex Style Citation:
@article{Subhalakshmi_2019,
author = {S. Subhalakshmi, C. Premila Rosy},
title = {Hybrid Semantic Ontology Data (HSOD) Analysis Algorithm for Heterogeneous Tourism Information},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {2 2019},
volume = {07},
Issue = {04},
month = {2},
year = {2019},
issn = {2347-2693},
pages = {181-183},
url = {https://www.ijcseonline.org/full_spl_paper_view.php?paper_id=747},
publisher = {IJCSE, Indore, INDIA},
}

RIS Style Citation:
TY - JOUR
UR - https://www.ijcseonline.org/full_spl_paper_view.php?paper_id=747
TI - Hybrid Semantic Ontology Data (HSOD) Analysis Algorithm for Heterogeneous Tourism Information
T2 - International Journal of Computer Sciences and Engineering
AU - S. Subhalakshmi, C. Premila Rosy
PY - 2019
DA - 2019/02/28
PB - IJCSE, Indore, INDIA
SP - 181-183
IS - 04
VL - 07
SN - 2347-2693
ER -

           

Abstract

This technique is an ontology-based approach and a formal concept analysis (FCA) approach to integrating heterogeneous tourism information for online tour planning. Two ontologies, ontology for tourists and ontology for tourism information providers, are developed with respect to their own perspective. The ontology for tourists is developed from the tourism literature. The ontology for tourism information providers is developed by integrating heterogeneous online tourism information using a FCA approach. This HSOD Hybrid Semantic Ontology Data (HSOD) Analysis is then mapped using the FCA and Bayesian analysis to evaluate tourists` preferences against information published by tourism information providers. An example of planning a tour to Thanjvaur, Trichy is used to illustrate the proposed ontology approach. An analytic hierarchy process is used to rank the tourism attractions suggested by the ontology and FCA based approaches.

Key-Words / Index Term

Ontology design, tourism, recommender system, formal concept analysis

References

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