Abstract
Deep web is growing rapidly with multitude of devices and rendering capability. Despite the richness of deep Web forms, their rendering methodology is very poor in terms of capacity of expression. Hence, user has no indication about the richness of query and query capability when he interprets this interface. In this paper we propose a new rendering approach of deep Web forms which is easy to interpret by user and reflects the exact meaning of query. We have evaluated our algorithm on standard dataset and compared it to a well known state of the art algorithm. Our approach has proved good performances with respect to standard measures.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Omri, M.N., Tijus, C., Poitrenaud, S., Bouchon-Meunier, B.: Fuzzy sets and semantic nets for on line assistance. In: Proceedings, 11th Conference of Artificial Intelligence for Applications, pp. 374–379. IEEE (1995)
Omri, M.N., Chouigui, N.: Measure of similarity between fuzzy concepts for identification of fuzzy user’s requests in fuzzy semantic networks. Int. J. Uncertainty Fuzziness Knowl. Based Syst. 9(06), 743–748 (2001)
Wensheng, W., Doan, A.-H., Yu, C., Meng, W.: Modeling and extracting deep-web query interfaces. In: Proceedings of AIIS 2009 (2009)
Zhang, Z., He, B., Chang, K.: Understanding web query interfaces: best-effort parsing with hidden syntax. In: Proceedings of SIGMOD 2004 (2004)
Vo, L.T.H., Cao, J., Rahayu, W.: Structured content-based query answers for improving information quality. In: World Wide Web, pp. 1–24 (2014)
Boughammoura, R., Omri, M.N., Youssef, H.: Fuzzy approach for pertinent information extraction from web resources. J. Comput. e-Syst. 1(1) (2008)
Boughammoura, R., Omri, M.N.: Statistical approach for information extraction from web pages. In: Proceedings of International Symposium on Distance Education (EAD 2009) (2009)
Boughammoura, R., Omri, M.N.: SeMQI: a new model for semantic interpretation of query interfaces. In: Proceedings of NGNS 2011 (2011)
Boughammoura, R., Omri, M.N., Hlaoua, L.: VIQI: a new approach for visual interpretation of deep web query interfaces. In: ICITeS (2012)
Boughammoura, R., Omri, M.N., Hlaoua, L.: Information retrieval from deep web based on visual query interpretation. Int. J. Inf. Retrieval Res. 2(4), 45–59 (2013)
The UIUC Web Integration Repository, Computer Science Department, University of Illinois at Urbana-Champaign (2003). http://metaquerier.cs.uiuc.edu/repository
Wu, K.-C.: Affective surfing in the visualized interface of a digital library for children. Inf. Process. Manage. 51(4), 373–390 (2015)
Omri, M.N., Chouigui, N.: Linguistic variables definition by membership function and measure of similarity. In: Proceedings of the 14th International Conference on Systems Science, vol. 2, pp. 264–273 (2001)
Omri, M.N.: Fuzzy knowledge representation, learning and optimization with Bayesian analysis in fuzzy semantic networks. In: Proceedings of 6th International Conference on Neural Information Processing (ICONIP 1999) (1999)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2015 Springer International Publishing Switzerland
About this paper
Cite this paper
Boughammoura, R., Hlaoua, L., Omri, M.N. (2015). G-Form: A Collaborative Design Approach to Regard Deep Web Form as Galaxy of Concepts. In: Luo, Y. (eds) Cooperative Design, Visualization, and Engineering. CDVE 2015. Lecture Notes in Computer Science(), vol 9320. Springer, Cham. https://doi.org/10.1007/978-3-319-24132-6_20
Download citation
DOI: https://doi.org/10.1007/978-3-319-24132-6_20
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-24131-9
Online ISBN: 978-3-319-24132-6
eBook Packages: Computer ScienceComputer Science (R0)