Abstract
The aim of this work is to present some of the capabilities of a Semantically Intellectual Enhanced Property Protection System. The system has reached a prototype phase where experiments are possible. It uses an extensive semantic net algorithms for Polish language that enable it to detect similarities in two compared documents on a level far beyond simple text matching. SEIPro2S benefits both from using a local document repository and from Web based resources. Main focus of this work is to give a reader overview of architecture and some actual results.
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
Ah-Hwae, T., Fon-Lin, L.: Text Categorization, Supervised Learning, and Domain Knowledge Integration (2004)
Baeza-Yates, R., Ribeiro-Neto, B.: Modern Information Retrieval. ACM Press, Addison-Wesley Longman Publishing Co, New York (1999)
Ballinger, K.: .NET Web Services, Architecture and Implementation. Pearson Education, London (2003)
Baziz, M.: Towards a Semantic Representation of Documents by Ontology-Document Mapping (2004)
Baziz, M., Boughanen, M., Aussenac-Gilles, N.: Semantic Networks for a Conceptual Indexing of Documents in IR (2005)
Ben-Ari, M.: Principles of Concurrent and Distributed Programming, 2nd edn. Pearson Education (2005)
Ceglarek, D.: Zastosowanie sieci semantycznej do disambiguacji pojec w jezyku naturalnym, red. In: Porebska-Miac T., Sroka H. (eds.). w: Systemy wspomagania organizacji SWO 2006 - Katowice: Wydawnictwo Akademii Ekonomicznej (AE) w Katowicach (2006)
Frakes, W.B., Baeza-Yates, R.: Information Retrieval - Data Structures and Algorithms. Prentice Hall, Englewood Cliffs (1992)
Gonzalo, J., et al.: Indexing with WordNet Synsets can improve Text Retrieval (1998)
Hotho, A., Staab, S., Stumme, S.: Explaining Text Clustering Results using Semantic Structures. In: Lavrač, N., Gamberger, D., Todorovski, L., Blockeel, H. (eds.) PKDD 2003. LNCS (LNAI), vol. 2838, pp. 217–228. Springer, Heidelberg (2003)
Labuzek, M.: Wykorzystanie metamodelowania do specyfikacji ontologii znaczenia opisow rzeczywistosci, projekt badawczy KBN (2004)
Khan, L., McLeod, D., Hovy, E.: Retrieval effectiveness of an ontology-based model for information selection (2004)
Krafzig, D., Banke, K., Slama, D.: Enterprise SOA. Prentice Hall, Englewood Cliffs (2005)
Krovetz, R., Croft, W.B.: Lexical Ambiguity and Information Retrieval (1992)
Sanderson, M.: Word Sense Disambiguation and Information Retrieval (1997)
Sanderson, M.: Retrieving with Good Sense (2000)
Stokoe, C., Oakes, M.P., Tait, J.: Word Sense Disambiguation in Information Retrieval Revisited. In: SIGIR 2003 (2003)
Van Bakel, B.: Modern Classical Document Indexing. A linguistic contribution to knowledge-based IR (1999)
Gale, W., Church, K., Yarowsky, D.: A Method for Disambiguating Word Senses in a Large Corpus. Computers and the Humanities 26, 415–439 (1992)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2009 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Ceglarek, D., Haniewicz, K., Rutkowski, W. (2009). Semantically Enhanced Intellectual Property Protection System - SEIPro2S. In: Nguyen, N.T., Kowalczyk, R., Chen, SM. (eds) Computational Collective Intelligence. Semantic Web, Social Networks and Multiagent Systems. ICCCI 2009. Lecture Notes in Computer Science(), vol 5796. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-04441-0_39
Download citation
DOI: https://doi.org/10.1007/978-3-642-04441-0_39
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-04440-3
Online ISBN: 978-3-642-04441-0
eBook Packages: Computer ScienceComputer Science (R0)