Browsing by Author "Komesli, Murat"

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Citation - Scopus: 1
A comparative review for question answering frameworks on the linked data
(Bentham Science Publishers, 2021) Ceren Ocal Tasar; Murat Komesli; Murat Osman Unalir; Tasar, Ceren O.; Komesli, Murat; Unalir, Murat O.
Background: One of the state-of-the-art techniques for question answering frameworks is using linked data by converting the user input into SPARQL which is the query language for linked data. Objective: The main target is to emphasize the most fundamental issues while developing a question answering frameworks that accept input in natural language and converting it into SPARQL. Methods: The trend of applying linked data as a data source is gaining popularity among the re-searchers. In this study question answering frameworks that combine both natural language processing techniques and linked data technologies are examined. Common principles of examined question answering frameworks recognize user intention enriching natural language input and converting it to a SPARQL query. Results: 9 studies are selected for further examination to be compared by using selection criteria de-fined in the research methodology. Conclusion: Resulting outcomes are represented and compared in detail. In addition to the comparative review of systems a general architecture of question answering frameworks on the linked data is drawn as an outcome of this study to provide a guideline for the researchers who are studying related research fields. © 2021 Elsevier B.V. All rights reserved.
Citation - WoS: 2
Citation - Scopus: 3
Application of Data Mining in Failure Estimation of Cold Forging Machines: An Industrial Research
(NATL INST R&D INFORMATICS-ICI, 2019) Buse Turkoglu; Murat Komesli; Mehmet Suleyman Unluturk; Turkoglu, Buse; Unluturk, Mehmet Suleyman; Komesli, Murat
The industrial companies are now reaching out for solutions that would enable them to reduce the number of manufacturing defects in production so that they may be able to compete and maintain their sustainability in the market. All production processes need to be uninterruptible. This study utilizes data mining algorithms to turn the data created by machines into information. These data mining algorithms are effective tools for reducing the cold forging machine downtime. Furthermore the selected data mining methodology the J48 model generates meaningful results for a large real-life data set and predicts the error according to a behavioral model. The J48 model successfully detected 28 failures from this data set which suggests that it can be a promising method for reducing the periods of downtime of the cold machine.
Çizge Veri Tabanı Kullanılarak Geliştirilen Yazılım Lisans Yönetimi Amaçlı Veri Görselleştirmesi Uygulaması: BigLogVis
(2017) Murat Komesli; Gizem Nur KARAGÖZ; Komesli, Murat; Karagöz, Gizem Nur
Çizge veri tabanları verinin dinamik olarak saklanıp işlenmesine olanak sağlayan veri tabanı sistemleridir. Bu doğrultuda sistemde esneklik gerektiren aralarında çok sayıda ilişki bulunduran ve değişen yapıya sahip verilerin çizge veri tabanında tutulup işlenmesi fayda sağlamaktadır. Proje kapsamında görselleştirilmesi amaçlanan kayıt dosyalarının çizge veri tabanı üzerinde tutulması verinin dinamik oluşu ve veri içinde tekrar eden ilişkilerin sayısı nedeniyle önem arz etmektedir. Çalışmanın amacı saklanan bu kayıt dosyalarını işlevi doğrultusunda etkili bir şekilde kullanabilmek ve bu sayede karar destek sistemi olarak hizmet etmesini sağlamaktır. Böylece modüllerin lisans kullanım bilgilerini içeren bu kayıt dosyalarının görselleştirilmesi gereksiz harcanmış olan lisans ücretlerini ortaya koymakta ve alınan kararların bu bağlamda maliyet etkin olmasını sağlamaktadır.
Citation - WoS: 2
Citation - Scopus: 3
Convolutional Neural Network for Cotton Yield Estimation
(National Institute for R and D in Informatics, 2024) Mehmet Suleyman Ünlütürk; Murat Komesli; Asli Keceli; Unluturk, Mehmet Suleyman; Komesli, Murat; Keceli, Asli
The objective of this paper was to estimate the cotton yield potential of different cotton varieties using high-resolution field images based on a convolutional neural network (CNN). The yield estimation for different cotton varieties in grams in breeding studies has a great importance for the determination of superior cultivars to be commercialized. Due to the cost and excessive time consumption typical of traditional methods alternative ways for cotton yield estimation have been investigated over the years. This paper proposes an automated system for cotton yield prediction based on color images obtained by an unmanned aerial vehicle (UAV). Two replicational field experiments including three different cotton genotypes were conducted at May Seed R&D station in Torbali Izmir Turkey. Three different planting patterns including three four and six rows respectively in ten-meter wide areas were used as experimental plots. The ground-truth yield values for a total of six hundred planted areas were obtained by weighing the harvested cotton bolls after field images were taken. Achieving an absolute difference of no more than 350 grams for 114 out of 120 planted areas which were randomly selected only for testing purposes indicates that the CNN can effectively capture important features related to cotton yield from the field images obtained by the UAV. The combination of drone technology with reliable CNN models holds great potential for optimizing agricultural practices improving agricultural productivity and reducing operational costs. © 2024 Elsevier B.V. All rights reserved.
Database Optimization and Tuning on MS SQL Server
(2017) Arıcı, Suzan; Komesli, Murat
In the study of MS SQL Server query optimization, index architecture is examined to understand query structure and execution. Query optimization is important for database optimization because when users examine the query and try to optimize or tune the query, they have to check all details of database to understand the reason decrease. So when fixing problem increase query performance also increase database performance. Some MS SQL Server features help users to find the problematic queries and give some advices to fix them. In addition, some Dynamic Management Views, Dynamic Management Functions and Statistics can help to see the problems on the queries.
Development of a Method and a Tool for Hybrid Data Based Access Framework
(Institute of Electrical and Electronics Engineers Inc., 2019) Nuriye Yasemin Alparslan; Murat Komesli; Murat Osman Unalir; Özgü Can; Can, Ozgu; Alparslan, Nuriye Yasemin; Komesli, Murat; Unalir, Murat Osman
Semantic web aims that web contents can be understood and processed by the other software are to be interpreted usable and sharable. Security of information in semantic web is normally provided by access control mechanism. OBAC (Ontology Based Access Control) is a model for accessing ontologies. RBAC (Role Based Access Control) is a model for accessing relational databases. In this study HAC (Hybrid Access Control) is aimed to be applied for mapping of relational database and ontology by means of both OBAC and RBAC together. Access control of roles and profiles are aimed to be managed in HR (Human Resources) domain. To achieve the identified goal a method is proposed and the tool software is developed within the scope of this study. HAC is improved as an access control by using both RBAC and OBAC. A software architecture is presented for the access of framework. Roles are managed in HR domain by using hybrid data and a solution for database management is proposed. © 2020 Elsevier B.V. All rights reserved.
DEVELOPMENT OF FACILITY EVALUATION SYSTEM FOR THE USE OF DISABLED PEOPLE
(2017) Murat Komesli; İzel İlkim BORUCU; Borucu, İzel İlkim; Komesli, Murat
Günümüzde engelli insanlar günlük yaşantılarında birçok zorlukla yüzleşir. Bu çalışmanın amacı engelli bireylerin hastaneleri okulları mağazaları restoranları ve ATM'leri ihtiyaçlarına göre oylayıp değerlendirebilecekleri bir sistem geliştirmektir. Bu mobil uygulama kullanıcıların bulundukları yerleri değerlendirip yorum yapmalarını mekânlarda alınan önlemleri görüntülemelerini ve çeşitli engel türleri için gerekli düzenlemeleri olan yerleri aramalarını ve listelemelerini sağlar. Uygulama Java ile geliştirildi ve Android cihazlarda çalışmaktadır
Development of Geographic Turkish Question Answering Framework over Linked Data (GEO-TR)
(2018) Taşar, Ceren Öcal; Komesli, Murat
With a considerable growth of linked data, researchers focused on how to increase the availability of the semantic web technologies to provide practical usage for real life systems. Question answering systems are one of these real life systems that communicate directly with the end users, understand user intention and generate answers. End users do not want to care about any structural query language or vocabulary of the knowledge base where the point of the problem arises. In this study, a question-answering framework that converts Turkish natural language input into SPARQL queries in geographic domain is proposed. Additionally, a novel Turkish ontology which covers Chapter 6 of the geography lesson named 'Spatial Synthesis: Turkey' in secondary school in 10th grade curriculum, is developed to be used as linked data provider. Later on, a literature gap in Turkish question answering systems, which utilizes linked data in geographical domain, is addressed. Hybrid system architecture that combines natural language processing techniques with linked data technologies to generate answers is also represented. Further related research areas are also suggested. Key Words: question answering systems, linked data, ontology development, natural language processing
Development of semantic web application architecture for natural language based querying
(CEUR-WS ceurws@sunsite.informatik.rwth-aachen.de, 2018) Ceren Ocal Tasar; Murat Komesli; Murat Osman Unalir; Tasar, Ceren Ocal; Komesli, Murat; Unalir, Murat Osman; B. Tekinerdogan , A.H. Dogru
With the developing technology and increased demand on practical usage of knowledge users require to interact with systems by using natural language. Researchers discover the necessity of natural language queries should be converted to machine understandable format to meet the requirement of users. The necessity of the conversion triggered the researches on studies on question answering systems that is one of the systems mostly interact with natural language queries. For question answering systems that utilizes structural knowledge sources understanding user intention accurately consists of the processes of natural language processing representing the user intention and forming structured query to generate the answer. A technique and an architecture to convert natural language query to ontology query language by utilizing from both linguistic and semantic technologies are proposed in this study. Automatic conversion of an unstructured natural language query to a structured ontology query language SPARQL and process of producing answer over linked data are explained in the proposed technique and architecture. A different approach other than the related studies is followed in terms of defining a “Query Semantization” layer in the proposed architecture and developing a natural language aware ontology for the technique proposed. Contribution to the literature is expected by combining natural language processing technique and semantic web technologies with a different approach. © 2019 Elsevier B.V. All rights reserved.
Citation - WoS: 6
Citation - Scopus: 6
Digitizing Lefebvre's Spatial Triad
(Oxford University Press, 2018) Gülsüm Baydar; Murat Komesli; Ahenk Yılmaz; Kivanç Kilinç; Kilinc, Kivanc; Yilmaz, Ahenk; Baydar, Gulsum; Komesli, Murat
Digitizing Lefebvre's Spatial Triad is conceived as a seed project for an interdisciplinary analysis of the built environment via digital media. Two social housing projects in _Izmir are chosen as case studies as an initial step to be developed toward a potentially international digital platform. The theoretical premises of the project are based on the renowned cultural theorist Henri Lefebvre's Spatial Triad which distinguishes between representations of space representational spaces or spaces of representation and spatial practices. Following this framework the collected data are organized in three sections which are reflected in the digital interface. These are respectively titled 'implementations' which contains architectural drawings and visual recordings of interviews with the chief architect of the projects, 'perceptions' which includes related texts that are scanned from Web sites newspapers journals and conference proceedings, and 'lived experiences' which contains photographs and visual records of on-site interviews with the users of the two housing estates. Users of the digital interface are enabled access to data in each category by means of choosing one of eighty-three related keywords. The latter are derived from the digital analyses of discursive material. By enabling the comparison of the sections of spatial data for each settlement and between the two settlements the digital platform has the potential to inform decision-making processes in future social housing projects. © 2018 Elsevier B.V. All rights reserved.
Estimation of the Pause Times in Cold Forging Machines by Using Data Mining Methods
(2018) Türkoğlu, Buse; Komesli, Murat
Within the scope of the study, a system was developed to predict the pause times of cold forging machines using data mining methods, thus increasing machine efficiency. The industrial companies are seeking solutions to remove manufacturing defects from production and to maintain their market sustainability. In order to increase productivity, all production processes must be uninterrupted. For this reason, it is imperative that the error logs of the machines used in industrial systems be converted to infortmation. This study presents and compares data mining algorithms that analyze this information to reduce the cold forging machine working pauses. The most favorable data mining methodology selected as a result of comparison has been the J48 model. It produces meaningful results for large data sets and predicts errors based on a behavioral model. Using the J48 model, 28 faults have been detected in the data set. According to the results, it is estimated that there may be a promising method to reduce the number of cold machine working pauses.
Implementation of Semantic Web in the Companies: Human Resources Ontology
(Institute of Electrical and Electronics Engineers Inc., 2021) Cibil, Erinç; Komesli, Murat
Citation - Scopus: 1
Integration of GIS: A showcase study on GML based WebGIS
(2008) Tohid Ahmed Rana; Murat Komesli; Tuncay Ercan; Yumei Sun; Ercan, Tuncay; Sun, Yumei; Rana, Tohid Ahmed; Komesli, Murat
The growth of Geographical Information Systems (GIS) emerges as analytical decision-making tools utilizing highly specialized geographic data. However a simple system still does not exist for the integration/sharing information among GIS. Different organizations working within various domains have built their own data models for collecting and analyzing data. Many data storage analysis and delivery issues have prevented these organizations from effectively sharing their data. This presentation aims to show how to share the geo referenced information by utilizing GML (Geography Markup Language) technology among heterogeneous GIS. At present the updates are retrieved manually, often failing entirely results in information loss and major inconsistencies or referenced data set can be purchased from geographic information producers. The problems and expense associated with the integration of updates for geographic databases are documented. Moreover a showcase study on a GML based Web-GIS application system has also been developed in order to show how to share geographic information by using GML. The application includes various coverage layers online maps important textual information and selected case studies © 2008 SPIE. © 2009 Elsevier B.V. All rights reserved.
İzmir'de Kentsel Dönüşüm Bağlamında İnşa Edilen Toplu Konutlarda Mekân, Tasarım ve Gündelik Yaşam İlişkilerinin Analizi: Örnekköy ve Uzundere Yerleşimleri
(2016) Kılınç, Kıvanç; Yılmaz, Ahenk; Baydar, Gülsüm; Sönmez, Sevcan; Komesli, Murat
Proje, İzmir’de kentsel dönüşüm bağlamında inşa edilen toplu konut mekânlarını kapsamaktadır. Kentsel dönüşüm süreçlerinin getirdiği zorunlu göç olgusu, mekânsal değişmeyle birlikte sosyal ve kültürel dönüşümleri de beraberinde getirmektedir. Araştırma kapsamında mekân sadece fiziksel bir olgu olarak ele alınmamakta, getirdiği yaşamsal değişiklikler de değerlendirilmektedir. Projenin kapsamı İzmir’de kentsel dönüşüm bağlamında inşaatı ve yerleşimi tamamlanmış iki toplu konut projesi olan Örnekköy ve Uzundere ile sınırlanmıştır. Henri Lefebvre ve Michel de Certeau gibi kuramcıları izleyerek yapılan mekânsal analizler üç düzlemde ele alınmıştır. İlk olarak incelenen yerleşimlerde alınmış olan tasarım kararları saptanmış; ikinci olarak, gerek planlama, gerek yerleşim sürecinde bu projelerin medyadaki temsilleri araştırılarak sundukları mekânsal öngörülerin nasıl yorumlandıkları araştırılmış; son olarak da, bitmiş ve kullanıma sunulmuş olan mekânların, kullanıcıların pratikleri doğrultusunda nasıl dönüştürüldükleri incelenmiştir. Bu çalışmalar sonucunda bundan sonra yapılacak benzer projeler için somut öneriler geliştirilmiştir. Özetle, modernist planlama ilkelerinin başında gelen ticari/sosyal ve konut işlevlerinin bölgeleme esasında planlanmış olmasının sakıncaları anlaşılmış, karma kullanımın tercih edilmesi; topoğrafyanın yer seçiminde göz önüne alınması; yaşayanların aidiyet duygusu için önemli olduğu anlaşılan açık alanların bakımı için site yönetimi oluşturulması; kamusal yaşamın etkin biçimde sürdürülebilmesi için sosyal aktiviteleri barındıracak mekânların planlanması; kullanıcıların ihtiyaç ve taleplerine dair ön araştırmanın yapılması; farklı kullanıcı profillerine göre yapılabilecek mekânsal düzenlemelere kolay adapte edilebilecek plan şemaları ve yapım sistemlerinin geliştirilmesi ile konut tipi çeşitliliğinin artırılması; daha fazla depo ve balkon mekânı planlanması ve malzeme ve işçilik kalitesinin yükseltilmesi gereklilikleri ortaya çıkmıştır. Projenin sonuç ürünü olan Dijital İnsanbilimleri kapsamındaki internet sitesi aracılığıyla hem proje bulgularının yaygın bir kullanıcı kitlesine ulaşmasını sağlayacak hem de kullanıcıların kendi yorumlarını oluşturmalarına olanak verecek, gelişmeye açık bir dijital ortam oluşturulmuştur
Melez erisim denetimi için bir mimari önerisi: IK uygulamasi örnegi
(Ceur-Ws, 2015) Can, Özgü; Alparslan, Nuriye Yasemin; Komesli, Murat; Ünalir, Murat Osman
Melez veri tabanlı erişim çerçevesi için bir yöntem ve aracın geliştirilmesi
(2017) Alparslan, Nuriye Yasemin; Komesli, Murat
Anlamsal web, web içeriklerinin diğer yazılımlar tarafından anlaşılabilir, yorumlanabilir, kullanılabilir olmasını ve bilginin paylaşılmasını amaçlamaktadır. Anlamsal web'de bilginin güvenliği erişim denetimi ile sağlanmaktadır. OBAC (Ontology Based Access Control – Ontoloji Tabanlı Erişim Denetimi) verinin anlamsal tanımının olduğu ontolojilere erişim denetiminin sağlanmasında kullanılan bir modeldir. RBAC (Role Based Access Control – Rol Tabanlı Erişim Denetimi) ise, rol tabanlı erişim denetimini sağlamaktadır. İlişkisel veritabanlarında RBAC, ontolojilerde ise OBAC kullanılmaktadır. İnsan Kaynakları (İK) uygulamalarında hem RBAC hem de OBAC kullanılmaktadır. Bu çalışmada, her iki yaklaşımın karışımı olan HAC (Hybrid Access Control- Melez Erişim Denetimi) altyapı mimarisi geliştirilmeye çalışılmıştır. İK alanında, OBAC ve RBAC birleşimiyle oluşan melez veri tabanlı bir erişim çerçevesi olarak HAC geliştirilmektedir. Bu çerçeveye erişim için, yöntem ve araç yazılım içeren bir yazılım mimarisi sunulmaktadır. Böylelikle, melez veri ile roller yönetilerek İK alanında veritabanı yönetimine bir çözüm getirilmiş olacaktır.
OWL ontology development for destination marketing
(Springer-Verlag Berlin, 2011) Murat Komesli; Tuncay Ercan; Gökçe Özdemir; Ercan, Tuncay; Özdemir, Gökçe; Komesli, Murat
Internet as a marketing medium in the tourism industry is a very valuable destination marketing tool. Different tourism authorities and organizations serve as marketing and service providers. They benefit from the use of Internet within the concept of marketing efforts. A new technology Semantic Web brought incremental changes by bringing machine-readable descriptions to current web interfaces of these organizations. This paper provides necessary framework for the applicability of Semantic Web technology on Destination Marketing. It creates a methodology on how web pages are created and analyzed with the value-added tourism marketing purposes. Semantic Web technology achieves such interoperability by referring to ontology models. The ontology presented here determines the value of this integration in destination marketing organizations. © 2011 Springer-Verlag. © 2011 Elsevier B.V. All rights reserved.
System Architecture and Location Accuracy in Developing an Augmented Reality Application for Mnemotechnics: The Case of İzmir Kültürpark
(Institute of Electrical and Electronics Engineers Inc., 2025) Isikhan, Mehmet; Yilmaz, Ahenk; Komesli, Murat
Citation - WoS: 3
Citation - Scopus: 4
Systematic mapping study on question answering frameworks over linked data
(Institution of Engineering and Technology journals@theiet.org, 2018) Ceren Ocal Tasar; Murat Komesli; Murat Osman Unalir; Tasar, Ceren Ocal; Komesli, Murat; Unalir, Murat Osman
Employing linked data technologies and semantic endpoints for question answering systems are expanding approaches among the researchers. Therefore systems that combine syntactic and semantic analysis and enrich input questions by sentence-level recognition are examined. A systematic mapping study is conducted to identify and analyse the studies from major databases journals and proceedings of conferences or workshops published between 2010 and 2017. With a set of 14 research questions inclusion and exclusion criteria are specified. 53 studies are selected as primary studies from an initial set of 845 papers. This study provides a mapping while focusing on the methods and identifying the gaps between required and existing approaches. Popular approaches which have gained the most attention among researchers are given as a conclusion. Moreover a comparison between the authors' study and related work in the literature is given to point out the differences and the contributions of their study. As the result of the comparison it is concluded that the study is a novel and original topic on question answering frameworks. © 2019 Elsevier B.V. All rights reserved.
Citation - WoS: 1
Citation - Scopus: 2
The art of augmented memory: Remembering with augmented reality application in the case of the Temple of Artemis
(OXFORD UNIV PRESS, 2023) Ahenk Yilmaz; Oguz Bodur; Murat Komesli; Duhan Olmez; Yigit Inan; İnan, Yiğit; Yılmaz, Ahenk; Ölmez, Duhan; Bodur, Oğuz; Komesli, Murat
This article focuses on the effects of different representation modes of architectural heritage in augmented reality (AR) applications on remembering. Deterioration of the tangible evidence of architectural heritage compromises not only its visibility in the heritage site but also its presence in memory. Converging survived features and digitally produced representations of the heritage AR applications in mobile devices provide the memory of the site with endurance however what is remembered immensely depends on how the heritage is digitally represented on screen. Conceived as a case study for the method of analysis derived from classical memorizing technique of the art of memory the '[AR]temis' project reported in this article aimed to get insights into the effects of the representational qualities of augmented architectural heritage on remembering and also into future AR projects developed for architectural heritage sites with its original method of analysis to inform design decisions. The research project involved the development of the method of art of augmented memory the AR application as well as questionnaires and interviews with the respondents' on-site tests of the application. The results of this analysis show that the decisions regarding the digital representation of architectural heritage in AR applications entail not only the visual qualities of the heritage per se but also how the actual site of memory is visualized on screen.