Semantic information stored in an extended denormalized database

Garrido, Piedad and Tramullas, Jesús Semantic information stored in an extended denormalized database., 2006 . In I Internacional Conference on Multidisciplinary Information Sciences & Technologies, Mérida (Spain), 25-278 October 2006. [Conference paper]

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English abstract

The research project, which we hereby detail, has been utterly dedicated to explain the birth and evolution of an information repository called XTMdb whose basic principles are bound to integrate complementary tagging languages such as: SKOS; MODS, Dublin Core and/or GILS with the paradigm of topic maps. Once the information processing was completed, we could test it by means of designing an efficient information retrieval process which, at the same time, allows the information resources description to be extended in real time. On the one hand, the main objective lies in obtaining greater expressivity, independence in relation to the tagging language, as well as improved searches since the search can be centred on the topic concept. On the other hand, certain aspects remain outstanding which can lead to interesting discussions such as: the topic maps paradigm can provide added value visual information, it helps make the development of a support system decision easy and soft-computing techniques can solve a considerable amount of problems in relation to the information retrieval process.

Item type: Conference paper
Keywords: Topic Maps, MODS, Dublin Core, GILS, SKOS, information retrieval, database, XTM
Subjects: L. Information technology and library technology > LN. Data base management systems.
I. Information treatment for information services > IE. Data and metadata structures.
Depositing user: Dr. Jesús Tramullas
Date deposited: 24 Nov 2006
Last modified: 02 Oct 2014 12:05
URI: http://hdl.handle.net/10760/8461

References

"SEEK" links will first look for possible matches inside E-LIS and query Google Scholar if no results are found.

Balmin, A., Papakonstantinou, P.: Storing and querying XML Data using denormalized relational database. The VLDB Journal — The International Journal on Very Large Data Bases, Volume 14 Issue 1, 30-49 (2005). Springer-Verlag New York, Inc.

Bowers, S., Delcambre, L.: A generic approach for representing model-based superimposed information. In Proceedings of the Workshop on the Semantic Web at ECDL-00; Lisbon, Portugal (2000).

Crestani, F., Passi, G.: Soft computing in information retrieval: techniques and applications. Heidelberg: Physica-Verlag, (2000).

Geroimenko, V. & Chen, C. (Eds.) (2003). Visualizing the semantic web: xml based Internet and information visualization. London: Springer.

ISO 13250:2003. The Dublin Core Metadata Element Set.

ISO 15836:2003. SGML Applications. Topic Maps.

Park, J., (Ed.): XML topic maps. Creating and using topic maps for the web. Boston: Addison-Wesley, (2003).

Tramullas, J., Garrido, P.: Planificación y evaluación de directorios científicos especializados para Internet: su aplicación como instrumentos de docencia en sistemas de enseñanza y aprendizaje virtual. Proyecto EA-2003-52.

Tramullas, J., Garrido, P.: "Constructing Web subject gateways using Dublin Core, RDF and Topic Maps" Information Research, 11(2) paper248 [Available at http://InformationR.net/ir/11-2/paper248.html]

Garrido, P., Tramullas, J.: Potnia: una herramienta para directorios temáticos basada en Dublin Core y Topic Maps. Paper presented at the 7th. Congreso ISKO España, Barcelona, July 2005.

XTM TopicMaps.Org (2001). (XML Topic Maps Specification (XTM) 1.0. XTM TopicMaps.Org. Retrieved 2 March, 2003 from http://www.topicmaps.org/xtm/index.html

IEEE Guide 830-1998. Recommended Practice for Software Requirements Specifications

Garshol, L.M. (2002): What are Topic Maps. XML.com. Disponible en: http://www.xml.com/pub/a/2002/09/11/topicmaps.html

Lynch, P.; Horton, S.: Web Style Guide (2nd Edition). Yale University Press, 2002.

Hofmann, T. (1999). Probabilistic Topic Maps: navigating through large text collections. In David J. Hand, Joost N. Kok, Michael R. Berthold (Eds.) Advances in intelligent data analysis: third international symposium, IDA-99, Amsterdam, The Netherlands, August 1999. (pp. 161-172). Berlin: Springer.

Hongjun, L., Xu Yu, J., Wang, G., Zheng, S., Jiang, H., Yu, G., Zhou, A.: What makes the differences: benchmarking XML database implementations ACM Transactions on Internet Technology (TOIT), Volume 5 Issue (2005

Nicola, M., Van der Linden, B.: Native XML Support in DB2 Universal Database. Industrial Session: XML Support in Relational System (2005). Proceedings of the 31st international conference on Very large data bases VLDB '05. VLDB Endowment

Florescu, D.; Kossmann, D.: Storing and Querying XML Data using an RDBMS. Bulletin of the IEEE Computer Society Technical Committee on Data Engineering, 1999.

Jiang, H.; Lu, H.; Wang, W.; Xu, J.: Xparent: an efficient RDBMS-Based XML Database System. ICDE’ 02. Proceedings of the 18th International Conference on Data Engineering, 2002, IEEE.

Balmin, A., Papakonstantinou, P.: Storing and querying XML Data using denormalized relational database. The VLDB Journal — The International Journal on Very Large Data Bases, Volume 14 Issue 1.Springer-Verlag New York, Inc.

Thuraisingham, B. (2002). XML databases and the semantic web. Boca Raton, FL: CRC Press.

Rath, H.H. (2001). Semantic resource exploitation with Topic Maps. In Henning Lobin, (Ed.) Sprach- und Texttechnologie in digitalen Medien. Frühjahrstagung der Gesellschaft für linguistische Datenverarbeitung (GLDV), Justus-Liebig-Universität Giessen, 28.-30.03.2001, (pp. 3 -15). Norderstedt, Germany: Books on Demand.

International Organization for Standardization and International Electrotechnical Commission. Joint Technical Committee 1. (2002) ISO/IEC 13250. Topic Maps. Information technology. Document description and processing languages. Retrieved 22 September, 2004 from http://www.y12.doe.gov/sgml/sc34/document/0322_files/iso13250-2nded-v2.pdf

Hofmann, T. (1999). Probabilistic Topic Maps: navigating through large text collections. In David J. Hand, Joost N. Kok, Michael R. Berthold (Eds.) Advances in intelligent data analysis: third international symposium, IDA-99, Amsterdam, The Netherlands, August 1999. (pp. 161-172). Berlin: Springer.

Garshol, L.M. (2004). Metadata? Thesauri? Taxonomies? Topic Maps! Journal of Information Science, 30(4), 378- 391.

Freese, E. (2003). Topic maps and RDF. In Park, J., (Ed.) XML topic maps. Creating and using topic maps for the web. (pp. 283-325) Boston, MA: Addison-Wesley.

Chakrabarti, S. (2002). Mining the Web: analysis of hypertext and semi-structured data. Boston, MA: Morgan Kaufmann

Berry, M.E. & Browne, M. (1999). Understanding search engines: mathematical modeling and text retrieval. Software, environments, tools. Philadelphia, PA: Society for Industrial & Applied Mathematics.

Tramullas, J., Garrido, P. Software libre para servicios de información digital. Prentice Hall, 2006.


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