Abstract
Actual document search engines base searches on the file name or syntactic content, which means that the word or part of the word to search must exactly match. This article proposes a semantic graph-based method for document search. The approach allows to organize, search, and display documents or groups of documents. Groups are formed according to topics contained in documents.
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsPreview
Unable to display preview. Download preview PDF.
References
Golemati, M., Katifori, A., Giannopoulou, E.G., Daradimos, I., Vassilakis, C.: Evaluating the Significance of the Windows Explorer Visualization in Personal Information Management Browsing tasks. In: 11th International Conference on Information Visualization, IV 2007, pp. 93–100 (2007), doi:10.1109/IV.2007.46, ISSN 1550-6037
Ravasio, P., Schär, S.G., Krueger, H.: In pursuit of desktop evolution: User problems and practices with modern desktop systems. ACM Trans. Comput.-Hum. Interact. 11(2), 156–180 (2004) ISSN 1073-0516
Yao, Y., Lin, L., Dong, J.: Research on Ontology-Based Multi-source Engineering Information Retrieval in Integrated Environment of Enterprise. In: Int. Conference on Interoperability for Enterprise Soft. and Applications, China, pp. 277–282 (2009)
Guzmán, I.O.: Enfoque basado en datos para el aprendizaje de ontologías, Master Thesis. Cinvestav - Tamaulipas. Cd. Victoria, Tamaulipas, México (2010)
Shi, B., Fang, L., Yan, J., Wang, P., Dong, C.: Classification of Semantic Documents Based on WordNet. In: International Conference on E-Learning, E-Business, Enterprise Information Systems, and E-Government, pp. 173–176. IEEE Computer Society (2009)
Wang, J.Z., Taylor, W.: Concept Forest: A New Ontology-assisted Text Document Similarity Measurement Method. In: Proceedings of the IEEE/WIC/ACM International Conference on Web Intelligence, pp. 395–401. IEEE Computer Society (2007)
Malo, P., Siitari, P., Ahlgren, O., Wallenius, J., Korhonen, P.: Semantic Content Filtering with Wikipedia and Ontologies. In: IEEE International Conference on Data Mining Workshops, pp. 518–526 (2010)
Zhou, G.-S., Li, H.-L., Wang, Z.-N., Liu, G.-H.: An efficient intra prediction method for H.264 based on probability and statistics. In: International Conference on Computational Problem-Solving, pp. 413–415 (2010)
Blei, D.M., Ng, A.Y., Jordan, M.I.: Latent dirichlet allocation. J. Mach. Learn. Res. 3, 993–1022 (2003), JMLR.org
Kohonen, T.: Self-Organized Formation of Topologically Correct Feature Maps. Biological Cybernetics 43(1), 241–254 (1982)
Manning, C.D., Raghavan, P., Schütze, H.: An Introduction to Information Retrieval. Cambridge University Press (2009)
Fischer, H., Fischer, H.: Conclusion: The Central Limit Theorem as a Link Between Classical and Modern Probability Theory. In: A History of the Central Limit Theorem, pp. 353–362. Springer, New York (2011)
Hersh, W.R.: Information retrieval: a health and biomedical perspective. Springer (2009)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2012 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Velazquez-Garcia, E., Lopez-Arevalo, I., Sosa-Sosa, V. (2012). Semantic Graph-Based Approach for Document Organization. In: Omatu, S., De Paz Santana, J., González, S., Molina, J., Bernardos, A., Rodríguez, J. (eds) Distributed Computing and Artificial Intelligence. Advances in Intelligent and Soft Computing, vol 151. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-28765-7_56
Download citation
DOI: https://doi.org/10.1007/978-3-642-28765-7_56
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-28764-0
Online ISBN: 978-3-642-28765-7
eBook Packages: EngineeringEngineering (R0)