Özgür Gümüs
Ege University
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Featured researches published by Özgür Gümüs.
adaptive agents and multi-agents systems | 2005
Oguz Dikenelli; Riza Cenk Erdur; Özgür Gümüs
In this paper, a new agent development platform, which includes built-in features for semantic web based multi agent system development, is introduced. All agents and services in the platform use semantic web standards to represent their internal knowledge and semantic web query languages are used to query them. Semantic web services can be discovered and dynamically invoked. The directory service is implemented in a way to support semantic matching of agent capabilities. The ontology service allows ontology translation based on defined mappings between platform ontologies and external ontologies. With these features already integrated, the agent development platform that is developed simplifies the semantic web based multi-agent system development.
AAMAS'07/SOCASE'07 Proceedings of the 2007 AAMAS international workshop and SOCASE 2007 conference on Service-oriented computing: agents, semantics, and engineering | 2007
Önder Gürcan; Geylani Kardas; Özgür Gümüs; Erdem Eser Ekinci; Oguz Dikenelli
The Semantic Web Services Initiative Architecture (SWSA) describes the overall process of semantic service execution in three phases: discovery, engagement and enactment. To accomplish the specified requirements of these phases, it defines a conceptual model which is based on semantic service agents that provide and consume semantic web services and includes architectural and protocol abstractions. In this paper, an MAS infrastructure is defined which fulfills fundamental requirements of SWSAs conceptual model including all its sub-processes. Based on this infrastructure, requirements of a planner module is identified and has been implemented. The developed planner has the capability of executing plans consisting of special tasks for semantic service agents in a way that is described in SWSA. These special tasks are predefined to accomplish the requirements of SWSAs sub-processes and they can be reused in real plans of semantic service agents both as is and as specialized according to domain requirements.
international symposium on computer and information sciences | 2005
Geylani Kardas; Özgür Gümüs; Oguz Dikenelli
In this paper, we introduce a semantically enriched capability matching model for agent services. Our vision is to integrate both agent and semantic web services and provide the interoperability of agents under the semantic web extension. In multi agent system architectures, there is a specific agent or service called directory facilitator which is responsible to keep knowledge about the services given by the agents within the system. Other agents query in directory facilitator to identify agents that provide the required services. Hence, automated service discovery in multi agent systems is a critical issue. Here, we propose a matching engine architecture in which capabilities of agent services are handled semantically and it replies agent service requests with most suitable service advertisements. The paper includes formal basics and design details of this engine and also discusses its implementation with a proper case study.
multiagent system technologies | 2005
Oguz Dikenelli; Özgür Gümüs; Ali Murat Tiryaki; Geylani Kardas
In this paper, an agent framework, which provides a build in support for dynamic semantic service discovery and invocation within the agent’s plan(s), is introduced. To provide such a support, a generic plan structure is defined for semantic service integration. Developer can reuse this generic plan and add it to any agent plan as a task to create semantic service enabled plan(s). The platform executes this kind of plan(s) with its build in support. Also, a case study is developed to show the effectiveness of this approach in terms of integrating agents with web services.
international conference on move to meaningful internet systems | 2007
Özgür Gümüs; Önder Gürcan; Geylani Kardas; Erdem Eser Ekinci; Oguz Dikenelli
In this paper, a Multi-Agent System (MAS) platform for semantic service integration based on the Semantic Web Services Initiative Architecture (SWSA) is discussed. We define a software architecture in order to provide concrete realization of the SWSA. The architecture fullfills fundamental requirements of the SWSAs sub-processes. Software agents are employed in automatic discovery and execution of the Semantic Web Services within this architecture. We also elaborate implementation of SWSAs sub-processes (service advertisement, discovery, engagement and enactment) taking the main components of the defined architecture and their interactions into consideration. Hence, the developers can easily utilize semantic web service technologies by using this flexible and extensible platform.
ESAW'05 Proceedings of the 6th international conference on Engineering Societies in the Agents World | 2005
Oguz Dikenelli; Riza Cenk Erdur; Geylani Kardas; Özgür Gümüs; Inanc Seylan; Önder Gürcan; Ali Murat Tiryaki; Erdem Eser Ekinci
In this paper, we discuss the development of a multi agent system working on the Semantic Web environment by using a new framework called SEAGENT. SEAGENT is a new agent development framework and platform, which includes built-in features for semantic web based multi agent system development. These features provide semantic supports such as a new specific content language for transferring semantic knowledge, specifically designed agents internal architecture to handle semantic knowledge, a new directory facilitator architecture based on semantic service matching engine and ontology management service to provide ontology translations within the platforms ontologies. The implemented case study shows the effectiveness of these features in terms of semantically enriched multi agent system development.
international conference on move to meaningful internet systems | 2006
Özgür Gümüs; Geylani Kardas; Oguz Dikenelli; Riza Cenk Erdur; Ata Önal
In this paper, we introduce a mobile services environment, namely SMOP, in which semantic web based service capability matching and location-aware information gathering are both used to develop mobile applications Domain independency and support on semantic matching in mobile service capabilities are the innovative features of the proposed environment Built-in semantic matching engine of the environment provides the addition of new service domain ontologies which is critical in terms of system extensibility Therefore the environment is generic in terms of developing various mobile applications and provides most relevant services for mobile users by applying semantic capability matching in service lookups GPS (Global Positioning System) and map service utilization cause to find near services in addition to capability relevancy The software architecture and system extensibility support of the environment are discussed in the paper The real life implementation of the environment for the estate domain is also given as a case study in the evaluation section of the paper.
international symposium on computer and information sciences | 2005
Riza Cenk Erdur; Oguz Dikenelli; Ata Önal; Özgür Gümüs; Geylani Kardas; Özgün Bayrak; Yusuf Engin Tetik
The main motivation of this paper is to integrate the semantic matching capability into the pervasive computing environments. In this context, we have developed an environment that provides a semantic matching based information gathering capability for mobile users. An important feature of the developed environment is its domain independence. Domain independence is realized by first transferring the concepts of a specific domain’s ontology in XML format from the server to the mobile device, and then parsing that XML file for dynamically creating a visual interface, using which users can enter requests. The generic design of the semantic matching engine also contributes to domain independence, since a generic matching engine can accept inputs and return outputs using concepts from any ontology. To show the effectiveness of the architecture, a case study was implemented in a campus area. In this case study, mobile users can find closest places to reside or eat something.
international conference on service oriented computing | 2008
Özgür Gümüs; Önder Gürcan; Oguz Dikenelli
Brokers provide important discovery and synchronizationmechanisms among autonomous agents. Their mediation and coordinationproperties make brokers natural candidate components for thesemantic services environment where each service is described, discoveredand accessed semantically. However, brokers with rich functionalityof discovery and mediation are not part of the current semantic servicesenvironment. This paper discusses the design considerations of abroker agent in the semantic services environment. In this context, therequired services of this broker agent are analyzed, a multi-agent systeminfrastructure including such a broker agent for the semantic servicesenvironment is proposed and an interaction protocol, based on FIPAspecifications, for brokerage in this environment is given.
Journal of Food Measurement and Characterization | 2018
Z. Pinar Gumus; Hasan Ertaş; Erkan Yasar; Özgür Gümüs
Classification and addressing, and geographical origin of different olive oils is of great importance due to their differentiation in quality, and for commercial concerns. In this study, quantification of sterols, fatty acids, and triacylglycerol composition of forty-nine olive oils collected from six different locations of western part of Turkey (İzmir, Manisa, Aydın, Muğla, Bursa, and Edremit Bay) were performed by using chromatographic methods. Data for those olive oil samples were compiled, and classified with the artificial neural network (ANN) modelling and principal components analysis (PCA). The analytical results included resourceful information about determining geographical origin and traceability of olive oil in Turkey by using ANN and PCA. The ANN model for sterol composition showed the highest accuracy with 85.71%. The FAME and TAG profiles followed this with 83.67 and 81.63% accuracy respectively. However, İzmir and Manisa regions have poor sensitivity values with all ANN models since they are geographically very close to each other. Furthermore, the PCA results of the sterol composition have provided separation and clustering between locations. β-sitosterol, campesterol, stigmasterol and 24-metilen cholesterol have an important role in determining the separation of the locations of origin. While separation of the Bursa location has been under the pressure of FAME composition, the TAGs have been effective on the clustering of the Aydın and Edremit Bay. In conclusion, the geographical authentication of Turkish olive oils can be done with high accuracy by using ANN and PCA.