A Semantic Web Based Ontology in the Financial Domain
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.
[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/
[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/
@article{"International Journal of Information, Control and Computer Sciences:59433", author = "S. Banerjee", title = "A Semantic Web Based Ontology in the Financial Domain", 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.", volume = "7", number = "6", pages = "808-4", }
