In my bachelor thesis I have created a tool, which was able to analyse paragraphs from the given Wikipedia article and suggested the editors internal links, that they could add into this article. In this paper I return to my thesis and to the tool and evaluate its procedures. I offer ways to solve the problems associated with it, ways which would lead to overall improvement and acceleration of ...

In this paper, we present a shoe suggestion system for children. The system stores the database about children’s shoes from K1-K3 and P1-P3. The attributes considered are types of shoes, shoe sizes, brands. Given a type of children foot and age, the system suggested the type of shoes, brands, and sizes with the confidence level. The system uses the data mining technique for the classification a...

Introduction. In this paper, we present RinsMatch (RDF Instance Match), a suggestion-based instance matching tool for RDF graphs. RinsMatch utilizes a graph node similarity algorithm and returns to the user the subject node pairs that have similarities higher than a defined threshold. If the user approves the matching of a node pair, the nodes are merged. Then more instance matching candidate p...

an unthought-of pinnacle of success and his system beats all other methods of treatment by suggestion or indeed anything else clean out of the field. Nine-tenths of his book is taken up with illustrative cases of cures, and we read with wonder of chronic eczemas, diabetes, disorders of menstruation, and even new growths disappearing at the word of command. Nor is surgery forgotten, for haemorrh...

Proportion of disease is growing due to the malnutrition and sedentary life. In this work, a diet list is proposed to the user by calculating the necessary amount of calorie according to gender, weight, height, age and activity level. Diet list are prepared for seven days of a week as divided by six meals. Parameter assessment of users and offering recommendations are made via fuzzy expert syst...

We focus on personal data generated by the sensors and through the everyday usage of smart devices and take advantage of these data to build a non-invasive contextual suggestion system for tourism. The system, which we call Pythia, exploits the computational capabilities of modern smart devices to offer high quality personalized POI (point of interest) recommendations. To protect user privacy, ...