|The open access software engineering journals are scholarly journals. The top open access journals are freely available on the public internet domain, allowing any end users to read, download, copy, distribute, prink, search or link to the full texts of the articles. These provide high quality, meticulously reviewed and rapid publication, to cater the insistent need of scientific community. These journals are indexed with all their citations noted. The top open access journals are indexed in SCOPUS, COPERNICUS, CAS, EBSCO and ISI. A powerful tool to track opinions in forums, blogs, e-business sites, etc., has become essential for companies, politicians as well as for customers, and that because of the huge amount of texts available which make the manual exploration more and more difficult and useless. In this paper, we present our approach of identification of opinions based on an ontological exploration of texts. This approach aims to study the role of domain ontologies and their contributions in the identification phase. In our approach, domain ontology and sentiments lexicon are needed as pre-requirements. The views available on the internet have a significant impact on users, for example, if users have already researched opinions on a product, they are willing to pay more for a product whose opinion is more favourable than another, and the product will be more marketed than another whose opinion is less favourable. Companies, politicians, and customers need a powerful tool to track opinions, sentiments, judgments, and beliefs that people can express in blogs, comments, or in the form of texts, toward a product, a service, a person or an organization, etc. In opinion mining area, the use of expressions as a bag of sentiment words to detect the semantic orientation of the overall content of a text needs to give values to those expressions as positive, negative or neutral towards a given topic.