The focus of this paper is on university webpages and the translation of these. With the help of existing translation strategies, it aims to map out the strategies used in Swedish web pages in English with a focus on names and words/expressions for which there are no direct equivalents in English. The study shows that the most common strategies regarding the translation of names were translating word for word and using the nearest equivalent. Regarding language-specific expressions, the most common strategies were using cultural equivalents and reduction. Not surprisingly, additions in the text were most often matters of importance to an international audience, and the most common omissions were matters that only had a local interest.

The Web is increasingly being accessed by portable, multi-touch wireless devices. Despite the popularity of platform-specific (native) mobile apps, a recent study of smartphone usage shows that more people (81%) browse the Web than use native apps (68%) on their phone. Moreover, many popular native apps such as BBC depend on browser-like components (e.g., Webview) for their functionality. The popularity and prevalence of web browsers on modern mobile phones warrants characterizing existing and emerging threats to mobile web browsing, and building solutions for the same. Although a range of studies have focused on the security of native apps on mobile devices, efforts in characterizing the security of web transactions originating at mobile browsers are limited. This dissertation presents three main contributions: First, we show that porting browsers to mobile platforms leads to new vulnerabilities previously not observed in desktop browsers. The solutions to these vulnerabilities require careful balancing between usability and security and might not always be equivalent to those in desktop browsers. Second, we empirically demonstrate that the combination of reduced screen space and an independent selection of security indicators not only make it difficult for experts to determine the security standing of mobile browsers, but actually make mobile browsing more dangerous for average users as they provide a false sense of security. Finally, we experimentally demonstrate the need for mobile specific techniques to detect malicious webpages. We then design and implement kAYO, the first mobile specific static tool to detect malicious webpages in real-time.

No description available.

Submitted by Cássia Santos (cassia.bcufg@gmail.com) on 2017-03-20T11:56:19Z No. of bitstreams: 2 Dissertação -Marcus Vinicius Pinto de Oliveira - 2016.pdf: 4513704 bytes, checksum: d9ba80eb441632ff41f40e9588fe2acb (MD5) license_rdf: 0 bytes, checksum: d41d8cd98f00b204e9800998ecf8427e (MD5) / Approved for entry into archive by Luciana Ferreira (lucgeral@gmail.com) on 2017-03-20T13:58:42Z (GMT) No. of bitstreams: 2 Dissertação -Marcus Vinicius Pinto de Oliveira - 2016.pdf: 4513704 bytes, checksum: d9ba80eb441632ff41f40e9588fe2acb (MD5) license_rdf: 0 bytes, checksum: d41d8cd98f00b204e9800998ecf8427e (MD5) / Made available in DSpace on 2017-03-20T13:58:42Z (GMT). No. of bitstreams: 2 Dissertação -Marcus Vinicius Pinto de Oliveira - 2016.pdf: 4513704 bytes, checksum: d9ba80eb441632ff41f40e9588fe2acb (MD5) license_rdf: 0 bytes, checksum: d41d8cd98f00b204e9800998ecf8427e (MD5) Previous issue date: 2016-02-16 / Coordenação de Aperfeiçoamento de Pessoal de Nível Superior - CAPES / This dissertation is an account of experience in the elaboration, implementation and application of the present educational product, which gave the opportunity to investigate alternative ways of producing a virtual learning object for the teaching of the topic of physics in general called simple harmonic movement (SHM). Developed in the form of webpages and containing animations in Adobe Flash on html pages, the educational product illustrates various physical situations / physical models, molded into the SHM content. The educational product aims at the meaningful learning of this topic of physics, we seek to establish a less abstract character, which facilitates and enables the teaching-learning process of oscillatory physical systems, thus leading the students to reflect the contents and better understanding of the them / Esta dissertação é um relato de experiência da elaboração, implementação e aplicação do presente produto educacional, que gerou a oportunidade de se investigar maneiras alternativas de se produzir um objeto de aprendizagem virtual, para o ensino do tópico da Física em geral denominado movimento harmônico simples (MHS). Desenvolvido na forma de webpages e contendo animações em Adobe Flash em páginas html, o produto educacional ilustra várias situações físicas/modelos físicos, moldadas(os) para o conteúdo MHS. O produto educacional visa a aprendizagem significativa desse tópico de física, buscamos estabelecer um caráter menos abstrato, que facilite e possibilite o processo de ensino-aprendizagem de sistemas físicos oscilatórios, com isso levando os alunos a reflexão dos conteúdos e melhor compreensão dos mesmos.

Στα πλαίσια της παρούσας διπλωματικής εργασίας, ασχολούμαστε με την αυτόματη κατηγοριοποίηση των αποτελεσμάτων των αναζητήσεων στον Παγκόσμιο Ιστό. Αρχικά, ορίζουμε τα χαρακτηριστικά των σελίδων που είναι κατάλληλα για κατηγοριοποίηση με βάση την πρόθεση του χρήστη. Έπειτα, με χρήση μεθόδων μείωσης της διαστατικότητας επιλέγουμε τα πιο αντιπροσωπευτικά από τα χαρακτηριστικά αυτά και αξιολογούμε την απόδοση διάφορων αλγορίθμων κατηγοριοποίησης. Ακολούθως, επιλέγουμε τον αλγόριθμο κατηγοριοποίησης που βασίζεται στα επιλεγμένα χαρακτηριστικά και επιτυγχάνει την καλύτερη απόδοση. Εφαρμόζοντας τον αλγόριθμο, κατηγοριοποιούμε τα αποτελέσματα των αναζητήσεων στον Παγκόσμιο Ιστό. Τέλος, προτείνουμε μια μέθοδο εξαγωγής όρων από τα κατηγοριοποιημένα αποτελέσματα και επαναδιατύπωσης του ερωτήματος με βάση τον σκοπό αναζήτησης του χρήστη. / In this thesis, we tackle the problem of automatic classification of search results in Web environment. First, we define web pages features that are convenient for classification based on the user’s intent. Next, we use dimensionality reduction techniques to choose the most representative features and we evaluate different classification algorithms. We choose the most efficient classification algorithm based on chosen features and by using it, we classify the results retrieved from web searches. In the end, we propose a method to extract terms from the classified results and to reformulate the query based on user intent.

This thesis deals with fundraising of non-profit organisations. The scope of the thesis is to provide the reader with basic information about fundraising, and to apply this information in order to evaluate the fundraising of a selected non-profit organisation. First of all, this work defines the non-profit sector and its long-term sustainability, then the work deals with the fundraising itself. Issues connected with credibility of the organisation and its webpages are included in the part concerning fundraising.These factors establish a competitive advantage in activities that are focused on fundraising. These theoretical foundations are applied on a chosen non-profit organisation, and additionaly, the webpages of the organisation are also analysed, and an ASNO14 non-profit organisation reliability analysis is carried out. The data used in the practical part was collected through an analysis of annual reports of the organisation, webpage analysis and through a personal interview. The ending of this thesis includes an overall evaluation and improvement proposals.

The last couple of years the use of Internet has changed in the way that the web pages can be affected of the person that uses them. Because of this dynamic Internet technology has emerged that makes it possible for a web page to receive information from a web browser. This information can then be used to affect the appearance of the page. PHP and ASP are two dynamic Internet technologies. They are integrated in HTML and are executed on the web server. E-commerce and search pages are example of this kind of web pages. The purpose of this examine thesis is to find out which of the technologies that are best suited when information needs to be stored on the web server. The thesis turns mostly to programmers that are planning to create a web application for this purpose. The analysis, which consists of three main questions, is based on a literature study and on a web application that has been developed. The result of the analysis is that ASP is more complicated because more external components are included and a lot of objects has to be created. PHP is a much more structured technology and is simpler constructed. Our conclusion of this thesis is that the functionality within both technologies are basically the same. But because PHP´s code is constructed much simpler this technology is more suited for storing. De senaste åren har användningen av Internet ändrats på så sätt att webbsidor ska kunna påverkas av den som använder sig av dem. Därför har något som kallas dynamisk webbhantering skapats, vilket gör det möjligt för en webbsida att ta emot information från en webbläsare. PHP och ASP är två teknologier inom dynamisk webbhantering. De integreras i HTML-kod och exekveras på webbservern. Exempel på sådana sidor är e-handelsidor och söksidor. Detta examensarbete har gjorts för att ta reda på vilken av teknologierna som passar bäst när lagring av data på webbservern krävs. Arbetet vänder sig främst till programmerare som planerar att skapa en webbapplikation för detta ändamål. Analys har gjorts utifrån en frågeställning baserad på litteraturstudier och på programmering av en minde webbapplikation. Resultatet av analysen är att ASP, i just de frågor vi tagit upp, är mer komplicerat då externa komponenter blandas in och många objekt måste skapas. PHP är mycket mer strukturerat och enklare uppbyggt. Vår slutsats av arbetet är att funktionaliteten hos de båda teknologierna i stort sett är den samma, men på grund av att PHP är enklare kodningsmässigt sett är det denna teknologi som är bäst lämpad vid datalagring.

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Event-related collections, including both tweets and webpages, have valuable information, and are worth exploring in interdisciplinary research and education. Unfortunately, such data is noisy, so this variety of information has not been adequately exploited. Further, for better understanding, more knowledge hidden behind events needs to be unearthed. Regarding these collections, different societies may have different requirements in particular scenarios. Some may need relatively clean datasets for data exploration and data mining. Social researchers require preprocessing of information, so they can conduct analyses. General societies are interested in the overall descriptions of events. However, few systems, tools, or methods exist to support the flexible use of event-related collections. In this research, we propose a new, integrated system to process and analyze event-related collections at different levels (i.e., data, information, and knowledge). It also provides various services and covers the most important stages in a system pipeline, including collection development, curation, analysis, integration, and visualization. Firstly, we propose a query likelihood model with pre-query design and post-query expansion to rank a webpage corpus by query generation probability, and retrieve relevant webpages from event-related tweet collections. We further preserve webpage data into WARC files and enrich original tweets with webpages in JSON format. As an application of data management, we conduct an empirical study of the embedded URLs in tweets based on collection development and data curation techniques. Secondly, we develop TwiRole, an integrated model for 3-way user classification on Twitter, which detects brand-related, female-related, and male-related tweeters through multiple features with both machine learning (i.e., random forest classifier) and deep learning (i.e., an 18-layer ResNet) techniques. As guidance to user-centered social research at the information level, we combine TwiRole with a pre-trained recurrent neural network-based emotion detection model, and carry out tweeting pattern analyses on disaster-related collections. Finally, we propose a tweet-guided multi-document summarization (TMDS) model, which generates summaries of the event-related collections by using tweets associated with those events. The TMDS model also considers three aspects of named entities (i.e., importance, relatedness, and diversity) as well as topics, to score sentences in webpages, and then rank selected relevant sentences in proper order for summarization. The entire system is realized using many technologies, such as collection development, natural language processing, machine learning, and deep learning. For each part, comprehensive evaluations are carried out, that confirm the effectiveness and accuracy of our proposed approaches. Regarding broader impact, the outcomes proposed in our study can be easily adopted or extended for further event analyses and service development. / Doctor of Philosophy / Event-related collections, including both tweets and webpages, have valuable information. They are worth exploring in interdisciplinary research and education. Unfortunately, such data is noisy. Many tweets and webpages are not relevant to the events. This leads to difficulties during data analysis of the datasets, as well as explanation of the results. Further, for better understanding, more knowledge hidden behind events needs to be unearthed. Regarding these collections, different groups of people may have different requirements. Some may need relatively clean datasets for data exploration. Some require preprocessing of information, so they can conduct analyses, e.g., based on tweeter type or content topic. General societies are interested in the overall descriptions of events. However, few systems, tools, or methods exist to support the flexible use of event-related collections. Accordingly, we describe our new framework and integrated system to process and analyze event-related collections. It provides varied services and covers the most important stages in a system pipeline. It has sub-systems to clean, manage, analyze, integrate, and visualize event-related collections. It takes an event-related tweet collection as input and generates an event-related webpage corpus by leveraging Wikipedia and the URLs embedded in tweets. It also combines and enriches original tweets with webpages. As an application of data management, we conduct an empirical study of tweets and their embedded URLs. We developed TwiRole for 3-way user classification on Twitter. It detects brand-related, female-related, and male-related tweeters through their profiles, tweets, and images. To aid user-centered social research, we combine TwiRole with an existing emotion detection tool, and carry out tweeting pattern analyses on disaster-related collections. Finally, we propose a tweet-guided multi-document summarization (TMDS) model and service, which generates summaries of the event-related collections by using tweets associated with those events. It extracts important sentences across different topics from webpages, and organizes them in proper order. The entire system is realized using many technologies, such as collection development, natural language processing, machine learning, and deep learning. For each part, comprehensive evaluations help confirm the effectiveness and accuracy of our proposed approaches. Regarding broader impact, our methods and system can be easily adopted or extended for further event analyses and service development.

This thesis is focused on thorough description of Competitive Intelligence term and its fol-lows usage for webpages audit. The practical part of this thesis is primarily created for the Bisnode company. However, it can be used everyone who wants to perform on-line webpages analysis of their competitors. In thesis are also used professional tools of Majestic company and SEOPowerSuite company. I got these for limited time after my e-mail corre-spondence with company´s support team. At the beginning of practical section the Bisnode company is introduced to readers, so that they might become familiar with it. After that, the analysis was performed and divided into 4 thematic areas based on Bisnode´s wish. I ana-lyzed strengths and weaknesses of monitored sites in each of this section so that the company can learn not only from their mistakes but also from mistakes of its rivals. I tried to analyze Competitive Intelligence term in detail in the theoretical part of thesis. In addition, this term is viewed from multiple angles (its history, reflection of its Czech trans-lation, ethic associated with the CI term or description CI as process). So, this thesis can be also a beneficial for readers that know this term but want get deeper knowledges.