Summarizes existing knowledge about revisitations on the web, and surveys the potential of graphic based web history tools.

The book addresses the impact of ambient intelligence, particularly its user-centric context-awareness requirement on data management strategies and solutions. Techniques of conceptualizing, capturing, protecting, modelling, and querying context information, as well as context-aware data management application are discussed, making the book is an essential reference for computer scientists, information scientists and industrial engineers.

This two volume set LNCS 10041 and LNCS 10042 constitutes the proceedings of the 17th International Conference on Web Information Systems Engineering, WISE 2016, held in Shanghai, China, in November 2016. The 39 full papers and 31 short papers presented in these proceedings were carefully reviewed and selected from 233 submissions. The papers cover a wide range of topics such as Social Network Data Analysis; Recommender Systems; Topic Modeling; Data Diversity; Data Similarity; Context-Aware Recommendation; Prediction; Big Data Processing; Cloud Computing; Event Detection; Data Mining; Sentiment Analysis; Ranking in Social Networks; Microblog Data Analysis; Query Processing; Spatial and Temporal Data; Graph Theory; Non-Traditional Environments; and Special Session on Data Quality and Trust in Big Data.

This book constitutes the refereed proceedings of the 13th International Conference on Web Engineering, ICWE 2013, held in Aalborg, Denmark, in July 2013. The 21 full research papers, 4 industry papers, and 11 short papers presented were carefully reviewed and selected from 92 submissions. The scientific program was completed with 7 workshops, 6 demonstrations and posters. The papers cover a wide spectrum of topics, such as, among others: web mining and knowledge extraction, semantic and linked data management, crawling and web research, model-driven web engineering, component-based web engineering, Rich Internet Applications (RIAs) and client-side programming, web services, and end-user development.

In the 1940s, it was 16 mm film. In the 1980s, it was handheld video cameras. Today, it is cell phones and social media. Activists have always found ways to use the media du jour for quick and widespread distribution. InsUrgent Media from the Front takes a look at activist media practices in the 21st century and sheds light on what it means to enact change using different media of the past and present. Chris Robé and Stephen Charbonneau's edited collection uses the term "insUrgent media" to highlight the ways grassroots media activists challenged and are challenging hegemonic norms like colonialism, patriarchy, imperialism, classism, and heteronormativity. Additionally, the term is used to convey the sense of urgency that defines media activism. Unlike slower traditional media, activist media has historically sacrificed aesthetics for immediacy. Consequently, this "run and gun" method of capturing content has shaped the way activist media looks throughout history. With chapters focused on indigenous resistance, community media, and the use of media as activism throughout US history, InsUrgent Media from the Front emphasizes the wide reach media activism has had over time. Visibility is not enough when it comes to media activism, and the contributors provide examples of how to refocus the field not only to be an activist but to study activism as well.

This latest volume of BACAP Proceedings contains some innovative research by international scholars on Plato and Aristotle. It covers such themes as Plato on recollection and on justice, along with Aristotle on Nous and on law. This publication has also been published in paperback, please click here for details.

Web Usage Mining, also known as Web Log Mining, is the result of user interaction with a Web server including Web logs, click streams and database transaction or the visits of search engine crawlers at a Website. Log files provide an immense source of information about the behavior of users as well as search engine crawlers. Web Usage Mining concerns the usage of common browsing patterns, i.e. pages requested in sequence from Web logs. These patterns can be utilized to enhance the design and modification of a Website. Analyzing and discovering user behavior is helpful for understanding what online information users inquire and how they behave. The analyzed result can be used in intelligent online applications, refining Websites, improving search accuracy when seeking information and lead decision makers towards better decisions in changing markets, for instance by putting advertisements in ideal places. Similarly, the crawlers or spiders are accessing the Websites to index new and updated pages. These traces help to analyze the behavior of search engine crawlers. The log files are unstructured files and of huge size. These files need to be extracted and pre-processed before any data mining functionality to follow. Pre-processing is done in unique ways for each application. Two pre-processing algorithms are proposed based on indiscernibility relations in rough set theory which generates Equivalence Classes. The first algorithm generates a pre-processed file with successful user requests while the second one generates a pre-processed file for pre-fetching and caching purposes. Two algorithms are proposed to extract usage analytics. The first algorithm identifies the origin of visits, the top referring sites and the most popular keywords used by the visitor to arrive at a Website. The second algorithm extracts user agents like browsers and operating systems used by a visitor to access a Website. In this study, clustering of users based on Entry Pages to a Website is done to analyze the deep linked traffic at a Website. The Top Ten Entry Pages, the traffic and the temporal information of the Top Ten Entry Pages are also studied.

This book constitutes the refereed proceedings of the 11th International Conference on Web Engineering, held in Paphos, Cyprus, in June 2011. The 22 revised full papers and 15 revised poster papers presented together with 2 invited lectures were carefully reviewed and selected from 90 submissions for inclusion in the book. The papers topics cover a broad range of areas, namely, the Semantic Web, Web Services, Mashups, Web 2.0, Web quality, Web development, etc.

Over the past decade, the focus of inquiry into the psychology of SLA has shifted from the analysis of various characteristics within individuals towards a greater consideration of individuals’ dynamic interactions with diverse contexts. This revisit of the bestselling The Psychology of the Language Learner reflects on these developments by challenging some of the assumptions upon which the original text was based, maintaining the familiar structure of the original, while situating the discussion within a very different theoretical framework. Written in a lively, accessible style, the book considers how the field has evolved and maintains a keen eye on the future, suggesting exciting new directions for the psychology of SLA. The Psychology of the Language Learner Revisited will appeal to students and researchers in a wide range of disciplines, including applied linguistics, second language acquisition, modern languages, and psychology.

This book constitutes the thoroughly refereed proceedings of the 8th International Conference on Entertainment Computing, ICEC 2009, held in Paris, France, in September 2009, under the auspices of IFIP. The 14 revised long papers, 19 short papers and 23 poster papers and demos presented were carefully reviewed and selected from 105 submissions for inclusion in the book. The papers cover all main domains of entertainment computing, from interactive music to games, taking a wide range of scientific domains from aesthetic to computer science.