A method for ontology-based semantic relatedness measurement

WOS: 000322743700009There are many methods having different approaches for assessing similarity and relatedness and they are used in many application areas, including web service discovery, invocation and composition, word sense disambiguation, information retrieval, ontology alignment and merging, document clustering, and short answer grading. These methods can be categorized as path-based, information content-based, feature-based, geometric model-based, and hybrid approaches. These approaches use resources such as concept hierarchy, conceptual graph, and corpus for computing similarity and relatedness. With the rise of the semantic web, ontologies have attracted the attention of several researchers. Ontologies represented in the Web Ontology Language (OWL) are also valuable resources for similarity and relatedness measurement. The method proposed in this paper interprets some OWL constructs to assess semantic relatedness. The motivation behind this is to benefit from the rich expressive power of OWL to obtain better semantic relatedness measurement results. The success of the method has been validated against human judgments. The correlation between human judgments and automatically computed semantic relatedness values was calculated as 0.685 and was significant at the 0.01 level

Understanding the knowledge gaps of software engineers: An empirical analysis based on SWEBOK

Context: Knowledge level and productivity of the software engineering (SE) workforce are the subject of regular discussions among practitioners, educators, and researchers. There have been many efforts to measure and improve the knowledge gap between SE education and industrial needs. Objective: Although the existing efforts for aligning SE education and industrial needs have provided valuable insights, there is a need for analyzing the SE topics in a more “fine-grained” manner; i.e., knowing that SE university graduates should know more about requirements engineering is important, but it is more valuable to know the exact topics of requirements engineering that are most important in the industry. Method: We achieve the above objective by assessing the knowledge gaps of software engineers by designing and executing an opinion survey on levels of knowledge learned in universities versus skills needed in industry. We designed the survey by using the SE knowledge areas (KAs) from the latest version of the Software Engineering Body of Knowledge (SWEBOK v3), which classifies the SE knowledge into 12 KAs, which are themselves broken down into 67 subareas (sub-KAs) in total. Our analysis is based on (opinion) data gathered from 129 practitioners, who are mostly based in Turkey. Results: Based on our findings, we recommend that educators should include more materials on software maintenance, software configuration management, and testing in their SE curriculum. Based on the literature as well as the current trends in industry, we provide actionable suggestions to improve SE curriculum to decrease the knowledge gap

Improving Cost Estimation in Internet Advertising Using Machine Learning: Preliminary Results

14th Turkish National Software Engineering Symposium (UYMS) -- OCT 07-09, 2020 -- ELECTR NETWORKIn the internet advertising industry, web and mobile applications that display ads need to choose high-paying ads to increase their revenue. Ad mediators create various decision mechanisms to select ads that will generate higher revenues in order to increase the revenue of advertising applications. One type of these decision mechanisms is to select and deliver the ad with the highest eCPM (Effective Cost Per Mille) value from ads that can be placed in an ad slot. The eCPM value varies depending on different external factors for different applications. It is not possible for domain experts to make successful predictions by analyzing different sets of external factors for many applications and to keep these predictions constantly updated. Therefore, eCPM values were automatically predicted separately for each application on different ad slots and different countries using time series analysis and machine learning algorithms. SARIMA, MLP, CNN and LSTM algorithms are used to make predictions. The LSTM algorithm has generally yielded better results in eCPM estimation. As a result of the trials conducted with a limited number of users of the two applications on production environment, an increase in daily income per user was observed.Istanbul Okan Univ,IEEE Turkey Sect,Yazilim Sanayicileri Dernegi,Logo,Daly

Assessment of the Relationship Between Non-Dipping Phenomenon and Heart Rate Turbulence

Background: The aim of this cross-sectional study was to evaluate cardiac autonornic function by heart rate turbulence (HRT) indices in normotensive and hypertensive individuals with either non-dipper or dipper type circadian rhythm of blood pressure (BP). Methods: A total of 122 patients were allocated into four groups: normotensive/dipper, n = 33; normotensive/non-dipper, n = 31; hypertensive/dipper, n = 29; and hypertensive/non-dipper, n = 29. HRT indices (turbulence slope [TS] and turbulence onset [TO]) were calculated from 24-h ambulatory electrocardiographic recordings. Results: TS values were higher (TS = 10.0 +/- 3.4 vs 8.0 +/- 1.5, p = 0.004) and TO values were lower (TO = -2.9 [-3.6, -2.2] vs -2.0 [-2.3, -1.9], p = 0.037) in the dipper subgroup of normotensive cases than in the non-dipper subgroup of normotensive cases. Similarly, TS values were higher (TS = 8.4 +/- 3.5 vs 6.2 +/- 2.9, p = 0.012) and TO values were lower (TO = -2.1 [-3.4, -2.0] vs -1.6[-1.9, -0.2], p = 0.003) in the dipper subgroup of hypertensive cases than in the non-dipper subgroup of hypertensive cases. Spearman's correlation analyses revealed a high positive correlation between percentage of dipping and TS (r = 0.600, p = 0.001) and a higher negative correlation between percentage of dipping and TO (r = -0.653, p = 0.001). Conclusions: Blunting of the nocturnal fall in BP is associated with impaired HRT indices in both normotensive and hypertensive groups. (Cardiol J 2012; 19, 2: 140-145)WoSScopu

THE DIAGNOSTIC AND PROGNOSTIC VALUE OF GLYCOGEN PHOSPHORYLASE ISOENZYME BB FOR ACUTE CORONARY SYNDROME IN PATIENTS ADMITTED TO EMERGENCY DEPARTMENT WITH CHEST PAIN

An n=8 worldsheet superfield action is proposed for describing chiralfermions in the twistor-like formulation of an N=1, D=10 heterotic superstring