الفهرس 
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Abstract
Abstract
The priority of any organization or corporation is to maximize operating performance, minimize costs, enhance the quality of their goods or services, and better handle operational awareness. Most companies use Business Process Management (BPM) as a central factor in automating their operations, increasing standardization, and optimizing performance. BPM usually consists of a set of tasks for the continual development of market processes carried out within an iterative life cycle. The Business Process Management (BPM) model has been more socially focused in recent years. The socialization of systems has become an unavoidable means of integrating agile methods, including enhancing collaboration, knowledge sharing, and collective decision-making. However, much of the current approaches remain confined to the usage of social media without providing a coherent, Scholarly, and reusable sense, irrespective of such technology. This social dimension is effective and efficient, as well as well defined, correctly applied, and independent of any technology.
The exponential growth in unstructured social media has highlighted its significance as a way of providing broader and more reliable insights into companies and consumers. Social networking data offers a collection of insights that can be used to create actionable awareness. Such user-generated knowledge can be a significant source of evidence for study in a range of areas, such as data science, sociology, psychology, and historical studies, which can be used by researchers to explain actions, patterns, and opinions. There have been a variety of experiments in which social media data have been widely used for statistical purposes, such as election returns or flu outbreaks. However, little research has been performed to promote the query of social media data for information retrieval purposes. The main challenges come from the unstructured nature of the data, which makes it challenging to use for data analysis purposes. A large volume of reviews is a common category of unstructured text data, which makes it difficult for customers to locate accurate and comprehensive information. Then, if the reports are structurally formatted, some of the issues faced by customers, such as how to obtain insights into the advertised product effectively, can be partly eased. Information organization, knowledge collection, and knowledge implementation principles are also invited to examine a vast amount of unstructured online product reviews. It is crucial to provide successful information management systems to integrate customer feedback into various phases of the BPM. Inspiringly, arranging product reviews using ontology would help users better access the information they need to offer guidance for buying decision-making. What is needed is a general-purpose ontology that can be used to organize unstructured social media data.