Home | Browse | Search | Credits | About
Register | User Area | DL-Harvest | Help
DLIST

Semantic information stored in an extended denormalized database

Garrido, Piedad and Tramullas, Jesús (2006) Semantic information stored in an extended denormalized database. In Proceedings 1st Internacional Conference on Multidisciplinary Information Sciences & Technologies, pages pp. 485-489, Mérida.

Full text available as:
PDF - Requires Adobe Acrobat Reader or other PDF viewer.

Abstract

This research project explains the birth and evolution of an information repository called XTMdb whose basic principles are intended 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, the repository was tested by means of an efficient information retrieval process which allows the information resources description to be extended in real time. This allowed to obtain greater expressivity, independence in relation to the tagging language, as well as improved searches since the search can be centred on the topic concept. Certain other aspects remain outstanding such as: the topic maps paradigm can provide added value visual information, the development of a support system decision is easy and soft-computing techniques can solve a considerable amount of problems in relation to the information retrieval process.

EPrint Type:Conference Paper
Keywords:Topic Maps, MODS, Dublin Core, GILS, SKOS, information retrieval, database, XTM
Subjects:Digital Libraries
Databases
XML
Computer Science
Software
Metadata
ID Code:1700
Deposited On:18 May 2007
Alternative Locations:http://eprints.rclis.org/archive/00007877/
Eprint Statistics:View statistics for this eprint
Tell A Colleague:Tell a colleague about it.

[1] 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). SpringerVerlag New York, Inc.

[2] 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).

[3] Crestani, F., Passi, G.: Soft computing in information retrieval: techniques and applications. Heidelberg: PhysicaVerlag, (2000).

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

[5] ISO 13250:2003. The Dublin Core Metadata Element Set.

[6] ISO 15836:2003. SGML Applications. Topic Maps.

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

[8] 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.

[9] 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]

[10] 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.

[11] 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

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

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

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

[15] 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.

[16] 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

[17] 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

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

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

[20] 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.

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

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

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

[24] 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.

[25] Garshol, L.M. (2004). Metadata? Thesauri? Taxonomies? Topic Maps! Journal of Information Science, 30(4), 378391.

[26] 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.

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

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

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

EPrints dLIST, an open access archive for the Information Sciences, is supported by the School of Information Resources and Library Science and Learning Technologies Center, University of Arizona. Established in 2002, dLIST has a global Advisory Board and is a part of the Information Technology & Society Research Lab. Open Archives
Contact: Admin | Donate