Anlamsal ağ uygulamarı için yarı-otomatik bilgi edinme sistemi

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2008

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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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İnternet ile ulaşılabilen bilgi ve doküman miktarının sınır tanımaz şekilde büyümesi, belirli bir doküman veya bilgiye ulaşabilmeyi gittikçe zorlaştırmaktadır ve yakın gelecekte neredeyse imkansız hale getirecektir. Mevcut standart araçlar karşılaşılan ve pratik olarak sonsuz sayılabilecek listedeki bilgi ve dokümanları tasnif edebilecek yetenekte değildirler. Bu nedenle, gerekli bilgi ve dokümanlara ulaşabilmeyi kolaylaştıracak mevcut çözüm olarak Anlamsal Ağ kavramı ön plana çıkmaktadır. Bu durumun doğal sonucu olarak, otomatik veya yarı otomatik bilgi edinme yöntemleri geliştirilmektedir.Bu tez çalışması kapsamında, Anlamsal Ağ için yarı otomatik bir bilgi edinme sistemi geliştirilmiş ve benzer bir sistem oluştururken karşılaşılan sorunların belirlenmesi ve bu sorunlar için muhtemel çözüm önerilerinin oluşturulması amaçlanmıştır. Geliştirilen bilgi edinme sisteminin alanı belirli bir kapsam ile sınırlı değildir; kullanıcı, sistemi istenen konuda bilgi edinebilmek için yönlendirebilecektir. Sistem, üniversitelerin web siteleri üzerinde test edilmiş ve sonuçlar değerlendirilmiştir.
As the information and documents accessible through the Internet grows without any boundaries, accessing to specific information and documents becomes more and more difficult and in near future it will almost be impossible. The standard means available, will not be capable to sort the needed information or document among the lists provided which may practicaly be classified as endless. Therefore, to facilitate the access to the required documents or information the Semantic Web concept appears to be an available solution. As a natural consequence of this fact, automatic or semi-automatic knowledge acquisition methods have to be developed.In this thesis, a semi-automatic knowledge acquisition system for the Semantic Web is developed and determining the problems encountered in the creation of such a system and suggesting possible solutions to these problems is aimed. The domain of the developed knowledge acquisition system is not limited to a specific area; the user can guide the system to acquire the knowledge of a required topic. The system is tested on university web sites and the results are evaluted.

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

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122