A Semantic Web Based Ontology in the Financial Domain

Authors: S. Banerjee

Abstract:

The paper describes design of an ontology in the financial domain for mutual funds. The design of this ontology consists of four steps, namely, specification, knowledge acquisition, implementation and semantic query. Specification includes a description of the taxonomy and different types mutual funds and their scope. Knowledge acquisition involves the information extraction from heterogeneous resources. Implementation describes the conceptualization and encoding of this data. Finally, semantic query permits complex queries to integrated data, mapping of these database entities to ontological concepts.

Keywords: Ontology, Semantic Web, Mutual Funds.

Digital Object Identifier (DOI): doi.org/10.5281/zenodo.1075120

References:

[1] Tim Berners-Lee, James Hendler and Ora Lassila, "The semantic web",scientific American, may 2001, p. 29-37.
[2] Thomas Gruber: Towards principles for the design of ontologies used for knowledge sharing, international international journal of humancomputer studies, 43 (5-6) 907-928 (1993
[3] Thomas Gruber, Ontolingua: a mechanism to support portable ontologies, technical report, knowledge systems laboratory, Stanford University, 1991.
[4] Corcho, O., M. Fernandez-Lopez, and Gomez-Perez A.,Methodologies, tools and languages for building ontologies. Where is their meeting point? Data & Knowledge Engineering, 2003. 46(1): p. 41-64.
[5] Bechhofer, S. and Goble, C. Thesaurus construction through knowledge representation. Data & Knowledge Engineering, 2001. 37(1): p. 25-45.
[6] Park, J. and Hunting S, Xml topic maps: Creating and using topic maps for the web. 2002, Boston, USA: Addison Wesley. 640.
[7] Mylopoulos, J. Information modeling in the time of the revolution , Information Systems, 1998. 23(3-4): p.127-155.
[8] Waterson, A. and Preece A., Verifying ontological commitment in knowledge- based systems, Knowledge-based systems, 1999. 12(1-2): p. 45-54.
[9] Extensible Business Reporting Language, XBRL http://www.xbrl.org, 1998.
[10] D. Caragea, J. Pathak, j. Bao, A. Silvescu, C. Andorf, D. Dobbs and V. Honovar, Information integration and knowledge acquisition from semantically heterogeneous biological data sources, B. Ludascher and L. Raschid (eds.) LNBI 3615, pp 175-190 (2005).
[11] D. Caragea, J. Pathak and V. Honavar, Learning classifiers from heterogeneous data, Proceed. Intl. Conf. Ontologies, Databases and Applications of Semantics for large scale information systems, 2004.
[12] A. Shaban-Nejad, C.J.O. Baker, G. Butler and V. Haarslev, The FungalWeb Ontology,, Genome Quebec, Canada (2005)
[13] C. Catton, S. Sparks and D.M. Sotton, The ImageStore Ontology and BioImage database:Semantic Web tools for Biological Research Images, ORIEL Project, IST-2001-32688.
[14] M. Ashburner, C. Ball, J. Blake, D. Botstein, J. Butler, J. Cherry, A. Davis, K. Dolinski, S. Dwight, J. Eppig, M. Harris, D.Hill, L.Issell- Tarver, A. Kasarkis, S. Lewis, J. Matese, J. Richardson, M.Ringwald, G. Rubin, and
[14] R.Sherlock, Gene ontology:tool for unification in Biology, Nature Genetics, 25(1) 25-29, 2000.
[15] www.nlm.nih.gov/research/umls
[16] A. Kumar and B. Smith, A framework for protein classification,Proceed. German Conference on Bioinformatics, Vol. II, 55-57 (2003).
[17] Pablo Castells, Borja Foncillas, Rubén Lara, Mariano Rico1, Juan Luis Alonso, Semantic Web Technologies for Economic and Financial Information Management, The Semantic Web: Research and Applications, Lecture Notes In Computer Science 3053 p. 473-487 (2004).
[18] Dejan Lavbi─ì and Marko Bajec, Employing Semantic Web technologies in financial instruments trading, International Journal on New Computer Architectures and Their Applications 2(1): 167-182 (2004)
[19] Kangkang Zhang, Ruzhi Xu, Yan Zhang, Ying Sai, Xiaobin Wang, An Ontology Supported Semantic Web Service composition Method in Enterprise Application Integration, International Multi-symposiums on Computer and Computational Sciences, 222-227 (2008).
[20] Maache Salah and Touahria Mohamed, Developing Ontology for Financial Investment "Algeria Case Study" International Journal of Computer Applications (0975 - 8887) 24(.4), p.1-6 (June 2011).
[21] Wang Shan Shan, Knowledge driven data mining for causal relationships between news and financial instruments, Ph.D. Thesis, City University of Hong Kong (2009)
[22] Barbara Furletti, Ontology-Driven Knowledge Discovery, Ph.D. Thesis, IMT Institute for Advanced Studies, Lucca Italy, (2009).
[23] www.w3.org/TR/1998/NOTE-XML-data/
[24] www.w3.org/TR/rdf-primer/
[25] www.sebi.gov.in/xbrl/XBRLMF.html
[26] Richard Fikes, Patrick Hayes, and Ian Horrocks, OWL-QL - A Language for Deductive Query Answering on the Semantic WebURI : http://ksl.stanford.edu/KSL_Abstracts/KSL-03-14.html
[27] www.w3.org/TR/owl-guide/