Browsing by Author "Unalir, Murat Osman"

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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 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: 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.