Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection
Permanent URI for this collectionhttps://hdl.handle.net/11147/7148
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Article The Architecture of Relational Materialism: a Categorial Formation of Onto-Epistemological Premises(Springer, 2025) Baytaş, Bekir; Baytas, Bekir; 01. Izmir Institute of TechnologyThis study formulates the basic premises of materialism, which has largely lost its visibility despite being one of the fundamental philosophical approaches that have been effective in the development of modern scientific practice and the construction of philosophy of science, in an alternative way, and aims to develop a new materialist interpretation of it that is non-reductive, pluralistic and open to the use of more than one scientific discipline. This interpretation, expressed with the term relational materialism, first addresses matter with the concept of signifier and foregrounds the concept of beable as the general philosophical category of matter. Secondly, it formulates the category of beable within the irreducible integrity of the categories of relationality, nonstaticity, and finitude; and positions knownability in terms of its correspondence to these general onto-epistemological categories. Thirdly, it clarifies the conditions of existence and knownability of particular entities under general categories based on specially corresponding onto-epistemological categories (interactability, structurability, contextuality, transformability, scale-dependency, actuality, contingency). In this respect, this study offers a pluralistic philosophical framework within which different methodological positions and scientific disciplines can be formulated and criticized based on combinations of different particular categories under general categories. In the conclusion of this article, the meaning and potential of relational materialism for the development of scientific research programs are evaluated.Conference Object Citation - Scopus: 7From Requirements to Data Analytics Process: An Ontology-Based Approach(Springer International Publishing AG, 2019) Bandara, Madhushi; Demirörs, Onur; Rabhi, Fethi A.; Demirors, Onur; 03.04. Department of Computer Engineering; 03. Faculty of Engineering; 01. Izmir Institute of TechnologyComprehensively describing data analytics requirements is becoming an integral part of developing enterprise information systems. It is a challenging task for analysts to completely elicit all requirements shared by the organization's decision makers. With a multitude of data available from e-commerce sites, social media and data warehouses selecting the correct set of data and suitable techniques for an analysis itself is difficult and time-consuming. The reason is that analysts have to comprehend multiple dimensions such as existing analytics techniques, background knowledge in the domain of interest and the quality of available data. In this paper, we propose to use semantic models to represent different spheres of knowledge related to data analytics space and use them to assist in analytics requirements definition. By following this approach users can create a sound analytics requirements specification, linked with concepts from the operation domain, available data, analytics techniques and their implementations. Such requirements specifications can be used to drive the creation and management of analytics solutions, well aligned with organizational objectives. We demonstrate the capabilities of the proposed method by applying on a data analytics project for house price prediction.