Browsing by Publisher "CEUR-WS"
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Item IRIS: A protégé plug-in to extract and serialize product attribute name-value pairs(CEUR-WS, 2014) Özacar T.This article introduces IRIS wrapper, which is developed as a Protégé plug-in, to solve an increasingly important problem: extracting information from the product descriptions provided by online sources and structuring this information so that is sharable among business entities, software agents and search engines. Extracted product information is presented in a GoodRelations-compliant ontology. IRIS also automatically marks up your products using RDFa or Microdata. Creating GoodRelations snippets in RDFa or Microdata using the product information extracted from Web is a business value, especially when you consider most of the popular search engines recommend the use of these standards to provide rich site data for their index.Item DEMIR at CLEF ehealth: The effects of selective query expansion to information retrieval(CEUR-WS, 2014) Ozturkmenoglu O.; Alpkocak A.; Kilinc D.This paper presents the details of participation of DEMIR (Dokuz Eylül University Multimedia Information Retrieval) research team to the Share/CLEF eHealth 2014. This year, we participated to task 3a: monolingual user-centered health information retrieval. In this task, we focused to apply query expansion techniques selectively to some queries to improve the performance of information retrieval. Thus, we first extracted some statistical features from queries such as length of query, sum and intersect of document frequencies of each query term etc. We develop a system to predict if a query is to be expanded or not. Then, we trained our system with previous year's data. Then, we applied a query expansion method only to the queries, which are selected by the system. The results show that the approach we proposed slightly improves our baseline retrieval performance in terms of P@10.Item Yazilim hata kestiriminde kolektif siniflandirma modellerinin etkisi(CEUR-WS, 2015) Kilinç D.; Borandag E.; Yücalar F.; Özçift A.; Bozyigit F.[No abstract available]Item Metin madenciligi kullanarak yazilim kullanimina dair bulgularin elde edilmesi(CEUR-WS, 2015) Kilinç D.; Bozyigit F.; Özçift A.; Yücalar F.; Borandag E.[No abstract available]Item Optimum design of cellular beams via bat algorithm with levy flights(CEUR-WS, 2017) Dogan E.; Ciftcioglu A.O.; Erdal F.Recently, several non-deterministic search techniques have been proposed for the development of structural optimization problems. This study presents a bat algorithm for the optimum solution of engineering optimization problems. Bat algorithm is based on the micro-bats' echolocation capability. They use echo sounder to identify prey, keep away from obstacles (barriers) and settle their roosting crevices in the darkness. Bats give out a very powerful sound and then listen its echo from the nearby items. They even use the time retard from the emission and sensing of the echo. They can notice the distance and position of the target, target's characteristics and even the target's moving speed such as very small insects. Bat algorithm is an optimum design algorithm for the automatization of optimum design process, during which the design variables are chosen for the minimum objective function value limited by the design constraints. Three varied cellular beam problems subjected different loading are selected as numerical design examples. Also in this study, Levy Flights is adapted to the simple bat algorithm for better solution. For comparison, three cellular beam problems solved for the optimum solution by using bat algorithm and bat algorithm with Levy Flights technique. Results bring out that bat algorithm is effective in finding the optimum solution for each design problem. Moreover, adaptation of Levy Flights technique to simple bat algorithm generates better solutions than the solutions obtained by simple bat algorithm. © Copyright by the paper's authors.