Extending the opinion integration model

Internet holds large amounts of data. This data is in many cases unstructured. The information is there, the problem is how to structure it so that we can quantify the data and save it in a database. Yaakub et al (2011) proposes a model (Opinion Integration Model) for structuring product reviews written by customers or opinion mining. This method is in many ways a complete base for structuring this type of data but it lacks a way of creating the ontology that creates a common language for how to interpret what the customers are talking about. This is were this paper enters the picture. This paper intends to extend Yaakubs et al. (2011) work with a way of developing this ontology. This is done by walking two different paths, one commercially grounded ontology development process were a web application is used as the base for the ontology, and one ontology development process based on a literature study of earlier research within the area. These are then compared by applying them in a real case were customer reviews for a television is used as input. These results are then used as a basis for a proposed way of creating an ontology that also is tested by applying the developed ontology in Yaakubs et al (2011) research on new reviews for the same television. The conclusion and the result of this paper is a 5-step method for developing ontologies for home electronic products that can be directly applied in Yaakubs et al (2011) model.