ABSTRACT
Business analytics (BA) involves defining organization's capabilities and requirements in order to understand how it functions to accomplish its purposes. BA is typically performed to define and validate solutions that are designed to meet organization's business needs, goals or objectives. To pursue this mission, analysts have to collect, analyse and synthesise huge amount of information. In this paper we demonstrate how constructing semantic ontologies can increase the level of automation of BA methods and techniques. This can be achieved by sophisticated semantic data analysis that can help us structure information and obtain birds-eye overview of a given domain. For the case study we take a set of abstracts from the articles presented on CompSysTech'09 conference and use OntoGen tool to semi-automatically construct ontology for the domain. The obtained results indicate that the proposed approach can be effectively used to digest textual information and present it in a more operational form of topic ontology. We argue that such approach can be useful also to generate domain knowledge in the field of BA.
- Green, P., Rosemann. M. Business Systems Analysis with Ontologies. IGI Global, 2005. Google ScholarDigital Library
- International Institute of Business Analytics. A Guide to the Business Analysis Body of Knowledge Version 2.0. IIBA Toronto Canada, 2009.Google Scholar
- Courage, C., Baxter, K. A Practical Guide to User requirements Methods, Tools, and Techniques. Elsevier Science and Technology Books Inc., 2005. Google ScholarDigital Library
- Jenz, E. D. Business Process Ontologies: Speeding up Business Process Implementation, Jenz & Partner Gmbh. Erlensee, 2003.Google Scholar
- Gennari J., M. A. Musen, R. W. Fergerson, W. E. Grosso, M. Crubezy, H. Eriksson, N. F. Noy, S. W. Tu. The Evolution of Protégé: An Environment for Knowledge-Based Systems Development. 2002.Google Scholar
- Fortuna B., M. Grobelnik M., D. Mladenić. System for semi-automatic ontology construction. Demo at ESWC 2006. Budva, Črna Gora, June, 2006.Google Scholar
- Rachev B., A. Smrikarov. Proceedings of the International Conference on Computer Systems and Technologies and Workshop for PhD Students in Computing 2009, Ruse, Bulgaria, June 18--19, 2009. Google Scholar
- Bontchev B., D. Vassileva, B. Chavkova, V. Mitev. Architectural design of a software engine for adaptation control in the ADOPTA e-learning platform. Proceedings of the International Conference on Computer Systems and Technologies and Workshop for PhD Students in Computing, Ruse, Bulgaria, June 18--19, 2009. Google ScholarDigital Library
Recommendations
Semantic enrichment for medical ontologies
The Unified Medical Language System (UMLS) contains two separate but interconnected knowledge structures, the Semantic Network (upper level) and the Metathesaurus (lower level). In this paper, we have attempted to work out better how the use of such a ...
Managing corporate memory on the semantic web
Corporate memory (CM) is the total body of data, information and knowledge required to deliver the strategic aims and objectives of an organization. In the current market, the rapidly increasing volume of unstructured documents in the enterprises has ...
A hybrid approach for measuring semantic similarity between ontologies based on wordnet
KSEM'11: Proceedings of the 5th international conference on Knowledge Science, Engineering and ManagementOntology is a conceptual model, which is used on data exchange between heterogeneous data sources in semantic web, and liked by many more people. Because of the shortage of the uniform standards for constructing ontology, it brings in lots of problems ...
Comments