A planner infrastructure for semantic web enabled agents

OTM Confederated International Conference and Workshop -- NOV 25-30, 2007 -- Vilamoura, PORTUGALWOS: 000251389500029Web services and agents are two important software development technologies that are affected from the semantic web innovation. Researches for attuning these topics to the semantic web prepare a ground for integration of them. In this paper, a planner infrastructure(1) is introduced that provides the integration of these two topics on the semantic web ground. Our approach is to support the semantic web service usage during agent planning process. Hence, agent can select required external semantic services to satisfy a goal and can interact with the selected services during the plan execution.The Scientific and Technological Research Council of Turkey (TUBiTAK) Electric, Electronic and Informatics Research Group (EEEAG) [106E008]This work is supported by The Scientific and Technological Research Council of Turkey (TUBiTAK) Electric, Electronic and Informatics Research Group (EEEAG) under grant 106E008

Goal-Oriented Agent Testing Revisited

9th International Workshop on Agent-Oriented Software Engineering -- MAY 12-13, 2008 -- Estoril, PORTUGALWOS: 000268638200013Today multi-agent systems research is ready to he transferred to the industrial applications. But; testing is one of the most critical processes to increase the acceptability of such systems in industrial settings. in this paper, we introduce a. goal-oriented testing approach based oil test goal concept. This approach alleges that, agent goals tire smallest testable units in MAS's instead of agents unlike other agent testing approaches and tools proposed previously. Moreover. We introduce a testing tool; called as SEAUnit, that; provides Necessary infrastructure to support proposed approach

Model-driven Query Generation for Elasticsearch

Federated Conference on Computer Science and Information Systems (FedCSIS) -- SEP 09-12, 2018 -- Poznan, POLANDWOS: 000454652300118Elasticsearch is a distributed RESTful search engine, capable of solving growing number of use cases and can handle petabytes of data in seconds. However, Elasticsearch comes with a complex query language which causes a steep learning curve for the developers and, therefore, creation of queries can be difficult and time-consuming in many cases. Hence, in this paper, we introduce a Domain-specific Modeling Language (DSML), called Dimension Query Language (DQL), to support the model-driven development of Elasticsearch queries. Elasticsearch queries can be automatically generated from DQL models and DQL's IDE is capable of executing these auto-generated Elasticsearch queries on remote repositories. An evaluation of using DQL has been performed at the industrial level with the participation of a group of developers. The conducted evaluation showed that the use of the language significantly decreases the development time required for creating Elasticsearch queries. Finally, qualitative assessment, based on the developers' feedback, exposed how DQL facilitates the development of Elasticsearch queries.Inst Elect & Elect Engineers, Polish Informat Proc Soc, Polish Informat Proc Soc, Mazovia Chapter, Inst Elect & Elect Engineers Poland Sect Comp Soc Chapter, Syst Res Inst Polish Acad Sci, Warsaw Univ Technol, Wroclaw Univ Econ, Adam Mickiewicz Univ, Inst Elect & Elect Engineers Reg 8, Inst Elect & Elect Engineers Poland Sect, Inst Elect & Elect Engineers Comp Soc Tech Comm Intelligent Informat, Inst Elect & Elect Engineers Czechoslovakia Sect Comp Soc Chapter, Inst Elect & Elect Engineers Poland Sect Gdansk Comp Soc Chapter, SMC Tech Comm Computat Collect Intelligence, Inst Elect & Elect Engineers Poland Sect Syst Man & Cybernet Soc Chapter, Inst Elect & Elect Engineers Poland Sect Computat Intelligence Soc Chapter, Inst Elect & Elect Engineers Poland Sect Control Syst Soc Chapter, ACM Special Interest Grp Appl Comp, Int Federat Informat Proc, Polish Acad Sci, Comm Comp Sci, Polish Operat & Syst Res Soc, Mazovia Cluster ICT Poland, Eastern Cluster ICT Poland, Intel, Gambit, Samsung, Silver Bullet Labs, eSensei, Data Ctr PPNTYasar GroupWe would like to thank software developers from Galaksiya Information Technologies for their cooperation and valuable feedbacks. This work was supported by Yasar Group (http://yasar.com.tr/en/)