Academic literature on the topic 'Webdaten'

Ziel dieses Aufsatzes ist es, ein Grundverständnis von digitalen Methoden und ihrer Anwendung zu vermitteln, insbesondere im Hinblick auf die Nutzung von Software bei dieser Art der Forschung. Dazu wird in einem ersten Schritt argumentiert, warum es bei einer Forschung mittels digitaler Methoden nicht darum geht, Webdaten im Vergleich mit der sozialen Welt jenseits des Webs zu „überprüfen“. Vielmehr geht es darum, das Web in seiner eigenen Spezifik für die Forschung nutzbar zu machen. Entsprechend setzen digitale Methoden bei „nativ“, d. h. originär digitalen Daten an und unterscheiden sich so von anderen Methoden des Computational Turn in den Sozial- und Geisteswissenschaften. Dies konkretisiert sich in der Forschungspraxis der digitalen Methoden, die anhand der Nutzung des Internet Archive, der Google Websuche, von Wikipedia, Facebook, Twitter und YouTube sowie plattformübergreifenden Studien veranschaulicht wird. Solche Beispiele machen deutlich, dass es bei digitalen Methoden um eine spezifische „Wiederverwendung“ von Online-Daten geht, ähnlich wie bei anderen non-responsiven Methoden.

Technology growth in facebook, whatsapp, instagram has become famous and widely used in diverse social media groups. The intention of facebook is to make the universe widely open and to stay connected. The recent mission of facebook is to stay connected with friends, colleagues, family through sharing photos, videos, stories etc. to show the daily events in the world, which provides the mean to share and express the feelings on what matters to them. Cross platform Instant messaging applications like Telegram and WhatsApp Messenger that smart phone users to establish a ubiquitous technology to exchange text, image, video and audio messages for free. This flexible technology explores more opportunities for risk and benefit for the modern era. Terrorism has increased in certain fragile parts of the world and they attack remotely. New technologies like Artificial intelligence, Machine learning autonomous and semi-autonomous systems are used by terrorist group to attack the network. These groups use social media weapons like facebook, whatsapp, Instagram to spread their information on the social network. It is essential to detect, pre-empt, prevent and eliminate the terrorism through technological spear. Terrorist groups are utilizing the internet as a platform together and convince the sin less people to take part in terrorist activities by infuriating them through web pages that inspired is enchanted individuals to take part in terrorist activities. The detection of terrorist activities needs enormous human effort. To reduce the human effort, our implement system detects the terrorist groups in social media using data mining algorithm. The intention of this work is to is to reduce the terrorism spread and to remove the terrorism related accounts effortlessly.

Technology growth in facebook, whatsapp, instagram has become famous and widely used in diverse social media groups. The intention of facebook is to make the universe widely open and to stay connected. The recent mission of facebook is to stay connected with friends, colleagues, family through sharing photos, videos, stories etc. to show the daily events in the world, which provides the mean to share and express the feelings on what matters to them. Cross platform Instant messaging applications like Telegram and WhatsApp Messenger that smart phone users to establish a ubiquitous technology to exchange text, image, video and audio messages for free. This flexible technology explores more opportunities for risk and benefit for the modern era. Terrorism has increased in certain fragile parts of the world and they attack remotely. New technologies like Artificial intelligence, Machine learning autonomous and semi-autonomous systems are used by terrorist group to attack the network. These groups use social media weapons like facebook, whatsapp, Instagram to spread their information on the social network. It is essential to detect, pre-empt, prevent and eliminate the terrorism through technological spear. Terrorist groups are utilizing the internet as a platform together and convince the sin less people to take part in terrorist activities by infuriating them through web pages that inspired is enchanted individuals to take part in terrorist activities. The detection of terrorist activities needs enormous human effort. To reduce the human effort, our implement system detects the terrorist groups in social media using data mining algorithm. The intention of this work is to is to reduce the terrorism spread and to remove the terrorism related accounts effortlessly.

Abstract. The goal of this thesis is to simplify the process of creating a web-based presentation and to provide solutions for compatibility problems in a standalone application. HTML5 is the latest web technology which is constantly developed and will be the successor of the previous HTML generation. This service for creating web-based presentation will make use of HTML5 features and JavaScript to deliver a user-friendly web-based application, with a concern in receiving text as its input and maintening it into a web-based presentation.This web-based presentation-making application, namely Slides5, provides an interface for creating a presentation with some features such as the addition and removal of slides, changing the look and layout of slides, as well as save and download the presentation file. Through several testings, Slides5 has succeeded in creating web-based presentation materials without the need of programming. In addition, Slides5 provides a feature to save the presentation as a HTML file so that the presentation can be simply concucted by using any web browser.Keywords: web-based presentation, HTML5, Slides5Abstrak. Tujuan dari penelitian ini adalah menyederhanakan proses pembuatan presentasi berbasis webdan memberikan solusi atas permasalahan kompatibilitas pada aplikasi mandiri.HTML5 merupakan teknologi web terbaru yang terus dikembangkan dan akan segera menjadi penerus dari generasi HTML sebelumnya. Layanan pembuatan presentasi berbasis web yang dimaksud akan memanfaatkan fitur HTML5 dan JavaScript untuk menghadirkan aplikasi berbasis web yang ramah pengguna, dengan menitikberatkan dalam menerima masukan berupa teks dan mengelolanya menjadi presentasi berbasis web.Aplikasi pembuatan presentasi berbasis web yang bernama Slides5 ini menyediakan antarmuka pembuatan presentasi dengan fitur-fitur seperti penambahan dan penghapusan slide, pengubahan tampilan dan tata letak slide, serta penyimpanan dan pengunduhan berkas presentasi. Melalui sejumlah uji coba, Slides5 telah berhasil dalam membuat materi presentasi berbasis web tanpa harus melakukan pemrograman. Selain itu, Slides5 menyediakan fitur penyimpanan presentasi ke dalam bentuk berkas HTML sehingga presentasi dapat dilakukan hanya dengan menggunakan peramban web saja.Kata Kunci: presentasi berbasis web, HTML5, Slides5

Today, data is collected in ever increasing scale and variety, opening up enormous potential for new insights and data-centric products. However, in many cases the volume and heterogeneity of new data sources precludes up-front integration using traditional ETL processes and data warehouses. In some cases, it is even unclear if and in what context the collected data will be utilized. Therefore, there is a need for agile methods that defer the effort of integration until the usage context is established. This thesis introduces Query-Time Data Integration as an alternative concept to traditional up-front integration. It aims at enabling users to issue ad-hoc queries on their own data as if all potential other data sources were already integrated, without declaring specific sources and mappings to use. Automated data search and integration methods are then coupled directly with query processing on the available data. The ambiguity and uncertainty introduced through fully automated retrieval and mapping methods is compensated by answering those queries with ranked lists of alternative results. Each result is then based on different data sources or query interpretations, allowing users to pick the result most suitable to their information need. To this end, this thesis makes three main contributions. Firstly, we introduce a novel method for Top-k Entity Augmentation, which is able to construct a top-k list of consistent integration results from a large corpus of heterogeneous data sources. It improves on the state-of-the-art by producing a set of individually consistent, but mutually diverse, set of alternative solutions, while minimizing the number of data sources used. Secondly, based on this novel augmentation method, we introduce the DrillBeyond system, which is able to process Open World SQL queries, i.e., queries referencing arbitrary attributes not defined in the queried database. The original database is then augmented at query time with Web data sources providing those attributes. Its hybrid augmentation/relational query processing enables the use of ad-hoc data search and integration in data analysis queries, and improves both performance and quality when compared to using separate systems for the two tasks. Finally, we studied the management of large-scale dataset corpora such as data lakes or Open Data platforms, which are used as data sources for our augmentation methods. We introduce Publish-time Data Integration as a new technique for data curation systems managing such corpora, which aims at improving the individual reusability of datasets without requiring up-front global integration. This is achieved by automatically generating metadata and format recommendations, allowing publishers to enhance their datasets with minimal effort. Collectively, these three contributions are the foundation of a Query-time Data Integration architecture, that enables ad-hoc data search and integration queries over large heterogeneous dataset collections.

Das World Wide Web stellt eine Vielzahl von Informationen zur Verfügung. Neben dem Inhalt der Webseiten stellt ihre Verknüpfung durch Verweise zwischen ihnen eine wichtige Informationsquelle dar. So unterstützen z. B. Webseitenempfehlungen auf interessante andere Produkte Kunden groÿer E-Commerce-Websites bei der Suche nach dem passenden Produkt. Zusätzlich finden sich auf Seiten verschiedener Websites auch Informationen zum gleichen Objekt der realen Welt, so dass durch Links zwischen ihnen alle verfügbaren Informationen aus mehreren Datenquellen für entsprechende Analysen, z. B. einem Preisvergleich, erreichbar werden. In dieser Arbeit werden Verweise als sogenannte Mappings zusammengefasst, wobei ein Mapping eine Menge paarweiser Zuordnungen, sogenannter Korrespondenzen, zwischen Instanzdaten (Objekten) repräsentiert. Dabei wird mit dem Begriff Korrespondenz nicht nur die Verknüpfung gleicher Objekte gemeint, sondern allgemein eine semantische Beziehung zwischen zwei Objekten ausgedrückt. Innerhalb dieser Dissertation steht die Verarbeitung solcher Mappings, d. h. ihre Erzeugung, Optimierung und Verwendung, im Mittelpunkt.

In vergangenen Publikationen wurden bereits verschiedene Zitierungsanalysen durchgeführt. Jedoch stets auf unterschiedlichen Datenquellen, was einen direkten Vergleich der jeweiligen Ergebnisse verhindert. Ziel dieser Arbeit soll es sein, eine Grundlage zur flexiblen Durchführung von Zitierungsanalysen zu schaffen. Durch die Entwicklung eines Data Warehouses sollen verschiedene Datenquellen integriert und konsolidiert werden, um eine Vielfalt von Analyseperspektiven und Berechnungsverfahren auf einem einheitlichen Datenbestand zu ermöglichen. Dabei wird insbesondere auf die Besonderheiten bei der Nutzung von Webdatenquellen, als wie verschiedene Methoden zur Datenbereinigung eingegangen.