Abstract
Nowadays, institutions of higher education need to be informed about the opinion of their students about the services offered. They depend on this information to make strategic decisions. To accomplish this, many choose to hire consulting services companies that have traditional survey or focus group to obtain the required information; however, the bias that there is on this type of study, means that in some cases strategic decisions are not entirely reliable. Discussions of people in the Web 2.0 are a relevant source of information for this kind of organization due to the large amount of data that is posted every day. A case in point are the discussion forums, which made it possible for people to share their views freely on a specific topic. This is achieved thanks to comments made in publications; from which useful information can be extracted for use in other purposes. This paper will provide a prototype to exploit the information contained within the comments made in discussion forums. These sources of knowledge are often not processed for any purpose, however the proposed prototype allow us to extract relevant data from this reliable source to use as a knowledge base for a institution of higher education.
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
Preview
Unable to display preview. Download preview PDF.
References
Kongthon, A., Angkawattanawit, N., Sangkeettrakarn, C., Palingoon, P., Haruechaiyasak, C.: Using an opinion mining approach to exploit web content in order to improve customer relationship management. In: Proceedings of PICMET 2010: Technology Management for Global Economic Growth (PICMET), pp. 1–6 (2010)
Castellanos, M., Hsu, M., Dayal, U., Ghosh, R., Dekhil, M., Ceja, C., Puchi, M., Ruiz, P.: Intention insider: discovering people’s intentions in the social channel. In: Proceedings of the 15th International Conference on Extending Database Technology. EDBT 2012, pp. 614–617. ACM, New York (2012)
Shu, Z., Wen-Jie, J., Ying-Ju, X., Yao, M., Hao, Y.: Opinion analysis of product reviews. In: Sixth International Conference on Fuzzy Systems and Knowledge Discovery. FSKD 2009, vol. 2, pp. 591–595 (2009)
Wimalasuriya, D.C., Dou, D.: Ontology-based information extraction: an introduction and a survey of current approaches. Journal of Information Science 36, 306–323 (2010)
Manuel, K., Indukuri, K.V., Krishna, P.R.: Analyzing internet slang for sentiment mining. In: Second Vaagdevi International Conference on Information Technology for Real World Problems (VCON), pp. 9–11 (2010)
Yang, C.C., Ng, T.D., Wang, J.-H., Wei, C.-P., Chen, H.: Analyzing and visualizing gray web forum structure. In: Yang, C.C., Zeng, D., Chau, M., Chang, K., Yang, Q., Cheng, X., Wang, J., Wang, F.-Y., Chen, H. (eds.) PAISI 2007. LNCS, vol. 4430, pp. 21–33. Springer, Heidelberg (2007)
Galvis Carreno, L.V., Winbladh, K.: Analysis of user comments: an approach for software requirements evolution. In: 35th International Conference on Software Engineering (ICSE), pp. 582–591 (2013)
Soutar, G.N., Turner, J.P.: Students preferences for university: a conjoint analysis. International Journal of Educational Management 16, 40–45 (2002)
Cunningham, H.: Information extraction-a user guide. arXiv preprint cmp-lg/9702006 (1997)
Abolhassani, M., Fuhr, N., Gövert, N.: Information extraction and automatic markup for XML documents. In: Blanken, H.M., Grabs, T., Schek, H.-J., Schenkel, R., Weikum, G. (eds.) Intelligent Search on XML Data. LNCS, vol. 2818, pp. 159–174. Springer, Heidelberg (2003)
Gruber, T.R.: Toward principles for the design of ontologies used for knowledge sharing? International Journal of Human-Computer Studies 43, 907–928 (1995)
Gang, H., Yingwei, Z., Xiaochun, W.: Information extraction of forum based on regular expression. In: 5th International Conference on Intelligent Human-Machine Systems and Cybernetics (IHMSC), vol. 2, pp. 118–122 (2013)
Mohajeri, S., Esteki, A., Zaiane, O.R., Rafiei, D.: Innovative navigation of health discussion forums based on relationship extraction and medical ontologies. In: IEEE International Conference on Bioinformatics and Biomedicine (BIBM), pp. 13–14 (2013)
YingJu, X., YuHang, Y., Fujiang, G., Shu, Z., Hao, Y.: An integrated approach for information extraction. In: 5th International Conference on New Trends in Information Science and Service Science (NISS), vol 1, pp. 122–127 (2011)
Gottipati, S., Lo, D., Jing, J.: Finding relevant answers in software forums. In: 26th IEEE/ACM International Conference on Automated Software Engineering (ASE), pp. 323–332 (2011)
Machova, K., Penzes, T.: Extraction of web discussion texts for opinion analysis. In: IEEE 10th International Symposium on Applied Machine Intelligence and Informatics (SAMI), pp. 31–35 (2012)
Acerenza, F., Rabosto, M., Zubizarreta, M., Rosa, A., Wonsever, D.: Coreference resolution between sources of opinions in spanish texts. In: XXXVIII Conferencia Latinoamericana En Informatica (CLEI), pp. 1–8 (2012)
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
Peña, W., Melgar, A. (2015). Ontology-Based Information Extraction from Spanish Forum. In: Núñez, M., Nguyen, N., Camacho, D., Trawiński, B. (eds) Computational Collective Intelligence. Lecture Notes in Computer Science(), vol 9329. Springer, Cham. https://doi.org/10.1007/978-3-319-24069-5_33
Download citation
DOI: https://doi.org/10.1007/978-3-319-24069-5_33
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-24068-8
Online ISBN: 978-3-319-24069-5
eBook Packages: Computer ScienceComputer Science (R0)