engleski

Automating Semantic Analysis of Website Structures for Ontology-based Benchmarking: Conceptual Model and Implementation in Retail Banking

Companies use benchmarking to improve the efficiency of their business processes, organizational structures and response to changes in their business environment. Benchmarking incites additional effort and drain on company resources. In this paper, we present an approach that may offer new outlook in making benchmarking less costly and time consuming. The goal of this paper is to present a conceptual model of the system based on grounded theory that uses current information retrieval methods, natural language processing and available web resources to create semantic ontology of best practices in structuring web- based information content. The developed model that is the result of the described approach can be used as a benchmarking model and tool for various purposes that we will illustrate using a banking web sites case study.

semantic annotations ; ontologies ; automatic information retrieval ; business applications ; web mining ; natural language processing

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