Genel amaçlı ontoloji oluşturma aracı: İş sektörlerine yönelik uygulama

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490326 A generic ontology creation tool.pdf (3.62 MB)

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2017

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Software Engineering
(2005)
Department of Software Engineering was founded in 2005 as the first department in Ankara in Software Engineering. The recent developments in current technologies such as Artificial Intelligence, Machine Learning, Big Data, and Blockchains, have placed Software Engineering among the top professions of today, and the future. The academic and research activities in the department are pursued with qualified faculty at Undergraduate, Graduate and Doctorate Degree levels. Our University is one of the two universities offering a Doctorate-level program in this field. In addition to focusing on the basic phases of software (analysis, design, development, testing) and relevant methodologies in detail, our department offers education in various areas of expertise, such as Object-oriented Analysis and Design, Human-Computer Interaction, Software Quality Assurance, Software Requirement Engineering, Software Design and Architecture, Software Project Management, Software Testing and Model-Driven Software Development. The curriculum of our Department is catered to graduate individuals who are prepared to take part in any phase of software development of large-scale software in line with the requirements of the software sector. Department of Software Engineering is accredited by MÜDEK (Association for Evaluation and Accreditation of Engineering Programs) until September 30th, 2021, and has been granted the EUR-ACE label that is valid in Europe. This label provides our graduates with a vital head-start to be admitted to graduate-level programs, and into working environments in European Union countries. The Big Data and Cloud Computing Laboratory, as well as MobiLab where mobile applications are developed, SimLAB, the simulation laboratory for Medical Computing, and software education laboratories of the department are equipped with various software tools and hardware to enable our students to use state-of-the-art software technologies. Our graduates are employed in software and R&D companies (Technoparks), national/international institutions developing or utilizing software technologies (such as banks, healthcare institutions, the Information Technologies departments of private and public institutions, telecommunication companies, TÜİK, SPK, BDDK, EPDK, RK, or universities), and research institutions such TÜBİTAK.
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Information Systems Engineering
Information Systems is an academic and professional discipline which follows data collection, utilization, storage, distribution, processing and management processes and modern technologies used in this field. Our department implements a pioneering and innovative education program that aims to raise the manpower, able to meet the changing and developing needs and expectations of our country and the world. Our courses on current information technologies especially stand out.

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Abstract

Ağ üzerinde bilgi aramak için, makinelerin milyarlarca sayıda olan düzensiz ve yapısız dökümanı araştırması gerekmektedir. Bu problemi çözmek için ağ üzerindeki veriler yeniden yapılandırılmalıdır. Bu probleme getirilecek çözümlerden bir tanesi de yapılandırılmış ve anlamlandırılmış veri yapısı sunan Anlamsal Ağ teknolojisidir. Anlamsal ağ, makine-okunabilir ve anlamsal olarak tanımlı bilgiyi sunabilmek için ontolojileri kullanmaktadır. Ontoloji oluşturmak, revize etmek ve yapılandırmak için kullanılan mevcut ontoloji biçimleyicileri uzmanlık gerektirmektedir. Bu çalışma ile, ontoloji oluşturma uzmanlığı olmayan kişiler için genel amaçlı kullanılabilen ontoloji oluşturma aracı geliştirilmiştir. Araç, adım adım ilerleyen kullanıcı arayüzü ile, kullanıcıları yönlendirerek kendi alanlarına özgü ontolojileri oluşturmalarını sağlamaktadır. Amaç, ontoloji oluşturma uzmanlığı olmayan kişilerin, kendi alanlarına uygun ontolojileri oluşturup, mevcut çalıştıkları firma içi veya iş sektörleri arasında makine-okunabilir şekilde bilgi paylaşımı yapabilmeleridir. Araç, farklı iş sektörlerinden farklı sürede çalışma deneyimine sahip kişiler tarafından test edilmiştir. İstatistiksel olarak uygun yöntemler ile değerlendirilen sonuçlar göstermektedir ki; teste katılan kişiler ortalama ve üzerinde memnuniyet bildirmişlerdir ve kendi alanlarında ontoloji oluşturabilmişlerdir.
To retrieve any information from the Web, a search has to be performed on billions of documents which are unorganized, unstructured and unreadable by machines. To overcome this problem, the data on the Web has to be formalized in a machine readable format. One of the solutions is to use the Semantic Web technology which provides structure and meaning to data on the Web. In order to provide machine readable and semantically identified information, the Semantic Web technology utilizes ontologies which include resources, properties and their relations to identify metadata about data. The current ontology editors require expertise to create, organize, edit and manage ontologies. In this study, a generic ontology creation tool is developed for users with no expertise in ontology creation. The tool which can be easily and effectively used at every level of a business gathers information about the ontology from a non-expert providing step by step guidance with user interfaces.The aim is to enable any employee of a firm to create an ontology in their domain to be able to share information in machine-readable form with the rest of his/her company or other companies. The tool is tested on users who have different working experiences in terms of years and sectors of business. The results are evaluated with statistical methods which show that on the average, the users are satisfied with the tool and are able to create ontologies in their own domains.

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Bilgisayar Mühendisliği Bilimleri-Bilgisayar ve Kontrol, Computer Engineering and Computer Science and Control

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0

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117

URI

https://hdl.handle.net/20.500.14411/4635

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Doktora Tezleri / Doctoral Thesis