The aim of the diploma thesis is the analysis of set inbound marketing components and suggestion of a strategical concept with the option of real processing of this web within the bounds of possibility of the set marketing components. In the theoretical part of the thesis, the whole strategy of inbound marketing and its general inbound marketing components are presented. In the practical part of the thesis, the analysis of the website magazine in connection with user behaviour is presented, including visit rate specification towards the specific content, setting up partial SEO factors and organic marketing on social media. In the end of the diploma thesis, the analysed metrics and specific recommendations of the plan are described.

The general theme of this thesis was the use of linked open data for a creation of games. This thesis specifically addressed the issue of usage of DBpedia for automatic question generation suitable for use in games. Within that are proposed suitable ways of selecting wanted objects from DBpedia and ways of obtaining and processing relevant information from them. Including a method for estimating renown of individual objects. Some of methods are then applied to create a program for a question generation from the data obtained through DBpedia during the run of the application. The real possibility of using these questions generated from DBpedia for gaming purposes is subsequently proved by the design, prototype and tests of a knowledge strategic multiplayer game. The paper also summarizes all the major issues and possible complications from using the data obtained through DBpedia or DBpedia Live endpoints. Current challenges and opportunities for mutual utilization of games and LOD are also briefly discussed.

The main aim of this thesis is an extraction of information from web based on conceptual modeling with ontology. The main goal of this thesis in question is implementation of a tool, which process input ontology and enable additional editing through graphical user interface. Readers of this thesis will be introduced with languages for writing ontologies, for example RDF, RDFS or OWL. Two extraction methods which use ontologies to describe extracted informations are also explained. Final solution is designed to consider all needs of extraction task defined by Ing. Radek Burget Ph.D. Output of this tool is definition of extraction task compatible with solution FITLayout, being developed at FIT BUT.

Title: Towards Trustworthy Linked Data Integration and Consumption Author: RNDr. Tomáš Knap Department: Department of Software Engineering Supervisor: RNDr. Irena Holubová, PhD., Department of Software Engineering Abstract: We are now finally at a point when datasets based upon open standards are being published on an increasing basis by a variety of Web communities, governmental initiatives, and various companies. Linked Data offers information consumers a level of information integration and aggregation agility that has up to now not been possible. Consumers can now "mashup" and readily integrate information for use in a myriad of alternative end uses. Indiscriminate addition of information can, however, come with inherent problems, such as the provision of poor quality, inaccurate, irrelevant or fraudulent information. All will come with associated costs of the consumed data which will negatively affect data consumer's benefit and Linked Data applications usage and uptake. In this thesis, we address these issues by proposing ODCleanStore, a Linked Da- ta management and querying tool able to provide data consumers with Linked Data, which is cleansed, properly linked, integrated, and trustworthy accord- ing to consumer's subjective requirements. Trustworthiness of data means that the data has associated...

This thesis deals with the issue of primary school websites and the potentials of their usage by students and teachers. Recently, websites became very common means of communication and educational platform. The aim of the thesis is to determine the potentials and limits of using websites in primary education. The thesis is divided into three main chapters and it has four appendices. The introductory chapter introduces the aims and the concept of the thesis. The part dedicated to the current state of the problem describes the development of Internet usage by children in the Czech Republic and other countries. This chapter deals with statistic data from the survey carried by the Czech Statistical Office and from a National Educational Institute project Škola21, in which the leaderships of various schools answered questions about the ways of using the school website as a part of self-evaluation. In this chapter, there is also a division of the target groups of school web users, short overview that demonstrates the development of school website in the last ten years, and a description of the parts that it, in some cases, contains. Special part is dedicated to evaluation tools of school website and other resources that can help determine the criteria of a high quality website and thus its potentials and limits. The second chapter, which is the main part of the thesis, is a research of school website and Internet usage in general by students and teachers and presents the basic research questions that were being answered. The main research question that is later divided into sub-questions is "How do students and pedagogical employees use the Internet and school website?" The main tool for collecting the answers were questionnaires designed according to a pre-research. The questionnaires collected the answers about the usage of the school website from students and teachers. The answers are statistically elaborated and the results are being compared by classification of fist and second degree. Here, the ways of students' and teachers' work with the website are compared and relations that can designate the potentials of the school website are looked for. The answers were further compared according to the respondents' school location, frequency of the school website visits, Internet access and other criteria. The results of the research were further discussed in interviews with groups of students and teachers. These interviews were focused on discovering the reasons for the respondents' answers. The thesis summarizes the results of the research and puts them into context with previously published work on this topic. Using these findings, the third chapter defines and explains recommended content of a school website and thus, sets the basic limits and potentials of its usage. On the basis of the information from the overview of current studies on this topic and using the research data, the thesis suggests a school website evaluation tool, which can answer the question about how the potentials of a school website are utilized. Computational algorithms and procedures of creating the evaluation tool are described in the research part of the thesis as well as the results of its testing on two primary schools in the Czech Republic.

The thesis treats automatic extraction of semantic data from Web pages. Within this broad problem, it focuses on finding values of data figures within the page presenting certain entity (e.g. price of a laptop). The main idea we wanted to evaluate is that a figure can be found using its context in the page: the words that surround it and values of the attributes of the containing HTML tags, class attribute in particular. Our research revealed there are two types of contemporary solutions of this problem: either the author of the Web page must inline semantic information inside the markup of the page or there are commercial tools that can be trained to parse a particular page format (targetting pages from a single Web domain). We examined the possibilities of developing a general solution that would - for given entity - find its properties across the Web domains using text analysis and machine learning. The naïve algorithm had about 30% accuracy, the lear- ning algorithms had the accuracy between 40 and 50% in finding the properties. Despite the accuracy is not acceptable for a final solution, we believe it confirms the potential of the idea. Keywords: Web pages data extraction 1

Creation of web wrappers (i.e programs that extract data from the web) is a subject of study in the field of web data extraction. Designing a domain-specific language for a web wrapper is a challenging task, because it introduces trade-offs between expressiveness of a wrapper's language and safety. In addition, little attention has been paid to execution of a wrapper in restricted environment. In this thesis, we present a new wrapping language -- Serrano -- that has three goals in mind. (1) Ability to run in restricted environment, such as a browser extension, (2) extensibility, to balance the tradeoffs between expressiveness of a command set and safety, and (3) processing capabilities, to eliminate the need for additional programs to clean the extracted data. Serrano has been successfully deployed in a number of projects and provided encouraging results. Powered by TCPDF (www.tcpdf.org)

This topic of this work is web analytics and customer knowledge methods that help small and medium sized businesses for decision support and are intended to yield higher e-commerce results. The main purpose of this thesis is to design and verify possible uses of advanced web analytics methods in a customer-oriented small business. The theoretical part conducts research into the current state of the web analytics industry. The conditions of small and medium enterprises are described and suitable web analytics tools are compared. Several web analytics maturity models are discussed. The practical part of the thesis states specific recommendations obtained from the pilot project for the company Baushop s.r.o. The project consists of a business analysis and use of analytics tools for optimizing internet campaigns and improving customer service. Specific data analysis methods are discussed and all supportive data are provided.

This thesis deals with the maximum flow problem in network. First part describes and explains basic terms of graph theory, which gives theoretical base for following text. Next part is dedicated to algorithms that may be used to solve a maximum flow problem. Each described algorithm contains a brief history, general notation and a practical example. The next very important part of the thesis is in specific computer science applications such as computer vision and web mining. As an essential part of the thesis is developed software in programming language Java, which allows user to compare the implemented algorithms and to solve large network flows problems.

This thesis deals with The Royal Mint and it's online strategy. Using web analytics tools and usability testing it analyzes a current state of website and e-shop of the company. From the obtained figures about visits of the website, keywords, conversion rate, traffic sources and others, the customers' behavior is analyzed and subsequent conversion rate and user friendliness-raising measures are evaluated. The thesis summarizes recommendations resulting from the carried analyses in order to increase the online sales, bring new customers online and increase the loyalty of the existing ones.