Duygu Çelik Ertuğrul | Eastern Mediterranean University (original) (raw)

Papers by Duygu Çelik Ertuğrul

Journal of Internet Technology, 2011

Due to the insertion of semantics to the Web services, meeting user demands will be possible thro... more Due to the insertion of semantics to the Web services, meeting user demands will be possible through logical deductions and achieving resolutions automatically. With the application of semantic description in content of Web services it is easier to discover and compose suitable Web services during analyzing, searching and matching processes. We proposed a framework of an Inference-based Semantic Composition Agent (SCA) of atomic processes that employs process similarity matching and inference techniques. SCA synthesizes new services from existing ones in an automatic fashion. A powerful matching mechanism is needed to find fitting tasks in order to attain the required composition by each client. An innovative Semantic Matching Step (SMS) of SCA helps to find the fitting tasks while constituting workflow to achieve required composition. Additionally, SCA composes available OWL-S atomic processes utilizing Revised Armstrong's Axioms (RAA) in inferring functional dependencies. Expe...

2016 IEEE 40th Annual Computer Software and Applications Conference (COMPSAC), 2016

Welcome to the COMPSAC Symposium on Web, Big Data & Analytics (WEDA) 2016. WEDA 2016 Symposiu... more Welcome to the COMPSAC Symposium on Web, Big Data & Analytics (WEDA) 2016. WEDA 2016 Symposium is an integral part of the IEEE COMPSAC main conference. Complementing the COMPSAC theme, WEDA uniquely positions itself as a forum for both researchers and practitioners in Web Technologies, Big Data, Data Science, e-Science and Data Analytics. It aims to discern emerging and genuinely challenging issues and brainstorm about robust solution strategies as well as advocate novel applications. WEDA invites authors to present recent findings, innovations, theories, experiences, and ideas. Technical contributions accepted by WEDA will likely cover theory, applications, pragmatics, systems and services enabled by the Web, underlying technologies, big data, data science, e-science, and concomitant big data analytics. The goal of WEDA is to deepen the understanding of, fostering innovation in, and defining the future of its interest domain.

2016 IEEE 40th Annual Computer Software and Applications Conference (COMPSAC), 2016

This article discusses a new approach to Fetal Heart Rate Monitoring System (FHRMS) via a mobile ... more This article discusses a new approach to Fetal Heart Rate Monitoring System (FHRMS) via a mobile integrated Doppler device (mDoppler) for monitoring Fetal Heart Rate (FHR) remotely (i.e. home). The aim of the system is to provide ease of FHR monitoring and computing current fetus risk conditions especially for high-risk pregnancy cases via a mobile integrated Doppler device. FHRMS has its own inferring mechanism that provides to analyze current fetus conditions by considering FHR values through connecting a hand held mDoppler device to labour's abdomen during observing period at home. The instantly-gathered FHR values as output signal of the mDoppler during observation period are displayed on the labour's mobile device monitor and also input data set to the FHRMS. The inferred current fetus conditions are coded as Green, Yellow, and Red status by the FHRMS signifying the Normal, Atypical/Warning, and Abnormal/Alarm conditions of the fetus respectively. Thus FHRMS informs the responsible parents, physician and the ambulance service if alarm status is observed. In this research, FHRMS considers 10 sets of FHR instance values for the last 10 gestation weeks (started at 30th up to 40th weeks) from a subjects labour's that are traced as a case study to track the inferencing algorithms of the FHRMS. The FHRMS tracing mechanism is developed from visual analysis algorithms of (Electro Fetal Monitoring) EFM task in literature.

2015 IEEE 39th Annual Computer Software and Applications Conference, 2015

Welcome to the 10 IEEE International Workshop on Engineering Semantic Agents – E-Health Systems a... more Welcome to the 10 IEEE International Workshop on Engineering Semantic Agents – E-Health Systems and Semantic Web (ESAS 2015), this time taking place in the Taichung, Taiwan, 5 July 2015. The IEEE International Workshop Series on Engineering Semantic Agent Systems (ESAS) has been held since 2006 in conjunction with Annual IEEE International Computer Software and Applications Conferences (COMPSAC). The ESAS Workshops Series focus on concepts, foundations and applications of semantic agent systems and intend to bring forward better practices of engineering them.

2012 IEEE 36th Annual Computer Software and Applications Conference, 2012

ABSTRACT Children with pervasive developmental disorders have special needs so they should be sup... more ABSTRACT Children with pervasive developmental disorders have special needs so they should be supported with special education programs. These programs are planned according to the type and degree of the disorder, age, characteristics, and needs of the children. Families prefer Internet to search resources about related educational methods (and associated activity/game) and materials. However, syntactic search in today's Internet is insufficient because of its static base and the search results are not sufficient enough to offer desired relevant results corresponding to a child's needs. With the help of Semantic Web-based agents an intelligent system able to identify the suitable educational methods and material, will contribute to the development of children with disorders, and support education specialists in this process. In addition it will be extremely useful for the families of these children in need of assisting and monitoring their child's development. In this article, an Educational Activity Finder (EAF) is being proposed. The architecture of EAF is structured after semantic Web technology so that it can find and propose semantically relevant suitable educational methods (i.e., activities to carry out) and material for use by children with disorders. The knowledge base of EAF keeps educational methods using the OWL language. All related concepts, attributes, and relations between these concepts and features about pervasive developmental disorders are defined through ontology. EAF is structured to recognize a pervasive developmental disorder, sort out symptoms and anomalies, suggest activities, compile performance scores, and decide on new activity based on user preferences by utilizing the semantic descriptions of available methods and activities. Strength of EAF is demonstrated through sample scenarios. EAF may be used by parents, pre-school educators, primary schools, special educational institutions and experts working for these institutions, university stude- ts studying in related fields, and individuals interested in pervasive developmental disorders.

Semantic Agent Systems, 2011

This chapter shows how it is possible to use agents and Semantic Web technologies to deal with dy... more This chapter shows how it is possible to use agents and Semantic Web technologies to deal with dynamic composition of business processes via an agent-based workflow system. The aim of the system is to discover composable processes at first among heterogeneous business processes that are running possibly under different Web servers and then execute them in the order specified by a planner to reach a complex requested goal. We proposed a framework of an Inference-based Semantic Composition Agent (SCA) of atomic business ...

2014 IEEE 38th International Computer Software and Applications Conference Workshops, 2014

Over 3,000 compounds are being added to processed food. These compounds have numerous effects on ... more Over 3,000 compounds are being added to processed food. These compounds have numerous effects on food: add color, stabilize, texturize, preserve, sweeten, thicken, add flavor, soften, emulsify, and so on. According to a recent report by the World Health Organization, governments have lately focused on legislation to reduce such ingredients or compounds in manufactured foods for they might have side effects causing health risks such as the heart disease, cancer, diabetes, allergens, obesity, etc. Safety in food consumption especially by patients of risk groups have become crucial for such health problems are in the top ten ranked health risks around the world. By supervising what and how much to eat as well as what not to eat, we can maximize a patient's life quality by avoiding unhealthy ingredients or compounds. In helping patients take control of their safe food consumption, we need smart personal e-health systems. Smart personal e-health systems with advanced knowledge management technology can provide suggestions of food appropriate for consumption by individuals. Accessing annotations in the ontology knowledgebase of food appropriate to their personal health condition can be provided. This article discusses one such software application, namely the Safety Food Consumption Mobile System, employing Semantic Web Technology.

Turkish Informatics Foundation Journal of Computer Science and Engineering (TBV BBMD), Dec 1, 2006

Intelligent Semantic Web Service Finder (ISWSF) is a mechanism that discovers Semantic Web Servic... more Intelligent Semantic Web Service Finder (ISWSF) is a mechanism that discovers Semantic Web Services satisfying client requirements. The increase in web services and lack of semantic base in search mechanisms of UDDI make it difficult for clients to find required web services. We developed a system which uses a Semantic Search Agent (SSA) to discover required web services from web and selects them according to the client requirements then presents them as a result page. The system uses Ontology Web ...

Lack of sufficient semantic description makes it difficult to find and compose suitable Web servi... more Lack of sufficient semantic description makes it difficult to find and compose suitable Web services during analysis, search, and matching processes. As Semantic Web Services provide well-defined meaning, composition of new services is possible through logical deductions achieving resolutions automatically. This book develops an Inference-based Semantic Business Process Composition Agent (SCA). Utilizing Revised Armstrongs Axioms (RAAs) in inferring functional dependencies, SCA System composes available OWL-S ...

2016 IEEE 40th Annual Computer Software and Applications Conference (COMPSAC), 2016

Health Informatics Journal, Oct 1, 2021

Iron is a vital mineral for the proper function of hemoglobin which is also a protein needed to t... more Iron is a vital mineral for the proper function of hemoglobin which is also a protein needed to transport oxygen in the blood. The lack of iron in human blood causes a range of serious health problems including “anemia.” In this article, the COntAneRS (Clinical ONTology-based Iron Deficiency‐ANEmia‐ Recommendation System) is proposed as a clinical decision support system to diagnose iron deficiency and manage its treatment. The applied methodologies and main technical contributions of this study are discussed in four aspects: (1) Iron Deficiency Domain Ontology (IDDOnt), (2) Semantic Web Rule Knowledgebase (SWRL), (3) Inference Engine, and (4) Physician Portal of the system. Experimental studies of the proposed system have been applied on a population of 200 people, consisting of real anemia patients and healthy individuals. First, a decision tree classifier is used to diagnose iron deficiency condition based on the patients’ demographic information and certain medical data, as well as recently measured hemoglobin CBC levels of the patients. To check the effectiveness of the system, the data of 50 anonymous patients randomly selected from 200 patients are entered manually in the IDDOnt and the system is then verified according to the inferencing results. After inferencing step, the recommendations related to appropriate iron drugs, daily consumption dose, drug consumption periods, and additional medical suggestions about drug interactions are provided by the system to the responsible physician through system ontology, SWRL rules, and web services. As a result of experimental studies, our system has provided very good accuracy (99.5%) and robust results in producing patient-suitable suggestions. In addition, the applicability of the system on the cases is discussed as case studies in this paper. The results reported from the applied case studies are promising in demonstrating the applicability, effectiveness, and efficiency of the proposed approach.

Technology and Health Care, Jun 29, 2023

BACKGROUND: Diabetes Mellitus (DM) is a significant risk, mostly causing blindness, kidney failur... more BACKGROUND: Diabetes Mellitus (DM) is a significant risk, mostly causing blindness, kidney failure, heart attack, stroke, and lower limb amputation. A Clinical Decision Support System (CDSS) can assist healthcare practitioners in their daily effort and can improve the quality of healthcare provided to DM patients and save time. OBJECTIVE: In this study, a CDSS that can predict DM risk at an early stage has been developed for use by health professionals, general practitioners, hospital clinicians, health educators, and other primary care clinicians. The CDSS infers a set of personalized and suitable supportive treatment suggestions for patients. METHODS: Demographic data (e.g., age, gender, habits), body measurements (e.g., weight, height, waist circumference), comorbid conditions (e.g., autoimmune disease, heart failure), and laboratory data (e.g., IFG, IGT, OGTT, HbA1c) were collected from patients during clinical examinations and used to deduce a DM risk score and a set of personalized and suitable suggestions for the patients with the ontology reasoning ability of the tool. In this study, OWL ontology language, SWRL rule language, Java programming, Protégé ontology editor, SWRL API and OWL API tools, which are well known Semantic Web and ontology engineering tools, are used to develop the ontology reasoning module that provides to deduce a set of appropriate suggestions for a patient evaluated. RESULTS: After our first-round of tests, the consistency of the tool was obtained as 96.5%. At the end of our second-round of tests, the performance was obtained as 100.0% after some necessary rule changes and ontology revisions done. While the developed semantic medical rules can predict only Type 1 and Type 2 DM in adults, the rules do not yet make DM risk assessments and deduce suggestions for pediatric patients. CONCLUSION: The results obtained are promising in demonstrating the applicability, effectiveness, and efficiency of the tool. It can ensure that necessary precautions are taken in advance by raising awareness of society against the DM risk.

Advances in computer and electrical engineering book series, 2018

One of the most important IT sectors that requires big data management is mobile data communicati... more One of the most important IT sectors that requires big data management is mobile data communication systems (MDCS) of GSM companies. In the charging mechanism of current MDCS, a subscriber "surfs" on the internet that creates data traffic and a counter subtracts the amount of data used by the user from the subscriber's quota. In other words, instant constant quota values are assigned to subscribers without concern for their previous amount of internet usage in current MDCS. Moreover, constant quota values cause constant charge calls in control traffic that are repeated for all new quota requests. Thus, performance degradation occurs because of the repetition of quota request calls and allocations. In this chapter, a dynamic quota calculation system (DQCS) is proposed for dynamic quota allocations and charging in MDCS using data mining approaches as two cascaded blocks. The first block is selforganizing map (SOM) clustering based on a sliding window (SW) methodology followed by the second block, which is the markov chain (MC); the overall system is denoted as "SOM/SW and MC."

This study investigates reverse image search performance of Google, in terms of Average Precision... more This study investigates reverse image search performance of Google, in terms of Average Precisions (APs) at various cut-off points, on finding out similar images by using fresh Image Queries (IQs) from the five categories "Fashion", "Computer", "Home", "Sports", and "Toys", in order to have an insight about reverse image search performance of Google and then, motivate the researchers and inform the users. Five fresh IQs with different main concepts were created for each of the five categories. These 25 IQs were run on the search engine and for each, the first 100 images retrieved were evaluated with binary relevance judgment. APs at the cut-off points 20, 40, 60, 80, and 100 were calculated for each category and for all 25 IQs. The performance range is from ~42% for Toys category at the cut-off point 100 to 71% for Home category at the cut-off point 20. When the categories are ignored, Google's performance range is from ~52% at the cut-off point 100 to ~57% at the cut-off point 20. It seems that reverse image search performance of Google needs to be improved.

This article proposes an Intelligent Tracking System for Acute Respiratory Tract Infection (Track... more This article proposes an Intelligent Tracking System for Acute Respiratory Tract Infection (TrackARTI) via a smart mobile for monitoring disease term of 0-6 age group child patients remotely (e.g. home, clinics). It is possible to maximize the quality of life of the child patients and decrease parental anxiety by keeping the child under control during monitoring stage and achieve a proper distant diagnose by the patient's clinician. This is possible with the designs of intelligent M-Health systems that can be used for diagnosing and monitoring the child patients away from hospitals by presenting the instant medical data to their registered doctors. Intelligent M-Health systems require strong knowledge management technology and ease of extension to provide information from additional medical tools. With the contribution of intelligent M-Health systems, it is possible to infer new facts from the certain gathered medical data during examination from child patients. This article mentions an intelligent and easy medical data gathering system that can be used by pediatricians or parents any time. In addition, the system has its own inferencing mechanism that involves two main steps, inferencing on image processing and Semantic Web rule knowledge base.

Tehnicki Vjesnik-technical Gazette, Dec 1, 2017

Original scientific paper SOM is a popular artificial neural network algorithm to perform rationa... more Original scientific paper SOM is a popular artificial neural network algorithm to perform rational clustering on many different data sets. There is a disadvantage of the SOM that can run on a predefined completed data set. Various problems are encountered on a time-stream data sets when clustering by using standard SOM since the time-stream data sets are generated dependent on time. In this study, the Sliding Window feature is included into standard SOM for clustering timestream data sets. Thus, the combination of SOM and Sliding Window (SOM + SW) gives more accurate results when clustering on time-stream data sets. To prove this, a set of internet usage data from a mobile operator in Turkey is taken to test. The taken data set from the mobile operator is clustered according to the classical SOM then the future data usages of subscribers are estimated. The same data set is applied on the SOM + SW to perform the same simulations.

Akıllı sistemler ve uygulamaları dergisi, May 2, 2018

In this study, the Android-based-mobile applications which are classified as smart park system an... more In this study, the Android-based-mobile applications which are classified as smart park system and retrievable by the user over Google Play store were investigated. Firstly, 66 unique relevant-applicationcandidates were retrieved with six queries ran on Google Play store. Afterwards, by doing examinations, nine unique smartpark-system-classified relevant applications were determined from the relevant-application-candidates and these were evaluated as well as discussed. "RTA Dubai" is the most downloaded application and besides is the most up-to-date application along "Zenpark rézerves un parking". When only the smart-park-system-oriented applications are considered, "Zenpark rézerves un parking" is being the most downloaded as well as the most up-to-date application. Also, "Voicepark" application comes forward as the one which covers the most number of functions. This study that no likewise was encountered in the literature, could contribute researcher, the user or developer.

Journal of Imaging Science and Technology, Mar 1, 2020

Diabetic Retinopathy (DR) is a medical condition, also known as diabetic eye disease, which is vi... more Diabetic Retinopathy (DR) is a medical condition, also known as diabetic eye disease, which is vision-threatening damage to the retina of the eye caused by diabetes. As the technology advances, researchers are becoming more interested in intelligent medical diagnosis systems to assist screening of DR in earlier stages. In this study, variety of state-of-the-art procedures are used to extract the anatomic segments and lesions from the color fundus images. In addition, an automated system is proposed for the detection of anatomic segments and lesions by grading approach to help clinical diagnosis of the DR analysis. Four publicly available databases of color fundus images and various appropriate measurement techniques are used to compare quantitatively the performance of the proposed system. The experiments conducted on DIARETDB0, DIARETDB1, STARE, and HRF data sets have proved that accuracy, sensitivity, and specificity of the proposed system are comparable or superior to state-of-the-art methods.

Journal of Internet Technology, 2011

2016 IEEE 40th Annual Computer Software and Applications Conference (COMPSAC), 2016

2015 IEEE 39th Annual Computer Software and Applications Conference, 2015

2012 IEEE 36th Annual Computer Software and Applications Conference, 2012

Semantic Agent Systems, 2011

2014 IEEE 38th International Computer Software and Applications Conference Workshops, 2014

Turkish Informatics Foundation Journal of Computer Science and Engineering (TBV BBMD), Dec 1, 2006

2016 IEEE 40th Annual Computer Software and Applications Conference (COMPSAC), 2016

Health Informatics Journal, Oct 1, 2021

Technology and Health Care, Jun 29, 2023

Advances in computer and electrical engineering book series, 2018

Tehnicki Vjesnik-technical Gazette, Dec 1, 2017

Akıllı sistemler ve uygulamaları dergisi, May 2, 2018

Journal of Imaging Science and Technology, Mar 1, 2020

IEEE COMPSAC Website, 2020

Papers are sought on the following tracks: - e-Health and Applications - Artificial Intelligence ... more Papers are sought on the following tracks:
- e-Health and Applications
- Artificial Intelligence with Web Technologies and Data
- Recommendation Systems, and
- Web Technologies, Services, and Applications.