Horizon Report 2009

El informe anual Horizon investiga, identifica y clasifica las tecnologías emergentes que los expertos que lo elaboran prevén tendrán un impacto en la enseñanza aprendizaje, la investigación y la producción creativa en el contexto educativo de la enseñanza superior. También estudia las tendencias clave que permiten prever el uso que se hará de las mismas y los retos que ellos suponen para las aulas. Cada edición identifica seis tecnologías o prácticas. Dos cuyo uso se prevé emergerá en un futuro inmediato (un año o menos) dos que emergerán a medio plazo (en dos o tres años) y dos previstas a más largo plazo (5 años)

Destination marketing organizations’ social media usage: a research on Balkan countries

Social media has fundamentally reshaped the way tourism related information is distributed and the way people plan for and consume travel. Since social media sites, such as Facebook, Twitter and Trip Advisor began allowing businesses to create profiles and become active members, businesses have started incorporating these strategies into their marketing efforts. For Destination Marketing Organizations (DMOs) have used these sites to promote special offers, for customer service and strengthen their existing brands; however, little is known about how DMOs are taking advantage of the social media marketing popularity. The aim of this study is to explore the usage of social media among the DMOs of Balkan countries through a content analysis of Balkan countries’ official web site profiles,. Also this study examines how social media is being used by the DMOs to enhance their brands and to reach potential visitf1ors. This study confirms the growing importance of social media in the online tourism domain and mostly DMOs use only Facebook and Twitter as a social media tools. Solely having a profile will not in itself increase awareness. DMOs should use more social networking sites to communicate with their consumers and give them the ability to broadcast opinions about service

Engineering Concern-Sensitive Navigation Structures: Concepts, Tools and Examples

Improving navigability in Web applications is a serious challenge for developers as this quality feature is essential for applications success. In this paper we present the concept of concern-sensitive navigation, a useful conceptual tool to improve navigation by profiting from the nature of application’s concerns. Concern sensitive navigation allows enriching Web pages with information, services or links related with the context in which pages are accessed.We show how our ideas are applied during the development process (e.g. by applying wise design strategies for separation of concerns) and can also be used by final users while adapting an application (e.g. by modding). Some examples of Web 2.0 sites are used to illustrate this last possibility. We also compare our research with other similar approaches such as the construction of adaptive Web applications.Facultad de InformáticaLaboratorio de Investigación y Formación en Informática Avanzada (LIFIA

Core-Periphery in Networks: An Axiomatic Approach

Recent evidence shows that in many societies worldwide the relative sizes of the economic and social elites are continuously shrinking. Is this a natural social phenomenon? What are the forces that shape this process? We try to address these questions by studying a Core-Periphery social structure composed of a social elite, namely, a relatively small but well-connected and highly influential group of powerful individuals, and the rest of society, the periphery. Herein, we present a novel axiom-based model for the forces governing the mutual influences between the elite and the periphery. Assuming a simple set of axioms, capturing the elite's dominance, robustness, compactness and density, we are able to draw strong conclusions about the elite-periphery structure. In particular, we show that a balance of powers between elite and periphery and an elite size that is sub-linear in the network size are universal properties of elites in social networks that satisfy our axioms. We note that the latter is in controversy to the common belief that the elite size converges to a linear fraction of society (most recently claimed to be 1%). We accompany these findings with a large scale empirical study on about 100 real-world networks, which supports our results

Web Data Extraction, Applications and Techniques: A Survey

Web Data Extraction is an important problem that has been studied by means of different scientific tools and in a broad range of applications. Many approaches to extracting data from the Web have been designed to solve specific problems and operate in ad-hoc domains. Other approaches, instead, heavily reuse techniques and algorithms developed in the field of Information Extraction. This survey aims at providing a structured and comprehensive overview of the literature in the field of Web Data Extraction. We provided a simple classification framework in which existing Web Data Extraction applications are grouped into two main classes, namely applications at the Enterprise level and at the Social Web level. At the Enterprise level, Web Data Extraction techniques emerge as a key tool to perform data analysis in Business and Competitive Intelligence systems as well as for business process re-engineering. At the Social Web level, Web Data Extraction techniques allow to gather a large amount of structured data continuously generated and disseminated by Web 2.0, Social Media and Online Social Network users and this offers unprecedented opportunities to analyze human behavior at a very large scale. We discuss also the potential of cross-fertilization, i.e., on the possibility of re-using Web Data Extraction techniques originally designed to work in a given domain, in other domains.Comment: Knowledge-based System

Semantic Tagging on Historical Maps

Tags assigned by users to shared content can be ambiguous. As a possible solution, we propose semantic tagging as a collaborative process in which a user selects and associates Web resources drawn from a knowledge context. We applied this general technique in the specific context of online historical maps and allowed users to annotate and tag them. To study the effects of semantic tagging on tag production, the types and categories of obtained tags, and user task load, we conducted an in-lab within-subject experiment with 24 participants who annotated and tagged two distinct maps. We found that the semantic tagging implementation does not affect these parameters, while providing tagging relationships to well-defined concept definitions. Compared to label-based tagging, our technique also gathers positive and negative tagging relationships. We believe that our findings carry implications for designers who want to adopt semantic tagging in other contexts and systems on the Web.Comment: 10 page

Engineering Concern-Sensitive Navigation Structures: Concepts, Tools and Examples

Improving navigability in Web applications is a serious challenge for developers as this quality feature is essential for applications success. In this paper we present the concept of concern-sensitive navigation, a useful conceptual tool to improve navigation by profiting from the nature of application’s concerns. Concern sensitive navigation allows enriching Web pages with information, services or links related with the context in which pages are accessed.We show how our ideas are applied during the development process (e.g. by applying wise design strategies for separation of concerns) and can also be used by final users while adapting an application (e.g. by modding). Some examples of Web 2.0 sites are used to illustrate this last possibility. We also compare our research with other similar approaches such as the construction of adaptive Web applications.Facultad de InformáticaLaboratorio de Investigación y Formación en Informática Avanzada (LIFIA

A treatise on Web 2.0 with a case study from the financial markets

There has been much hype in vocational and academic circles surrounding the emergence of web 2.0 or social media; however, relatively little work was dedicated to substantiating the actual concept of web 2.0. Many have dismissed it as not deserving of this new title, since the term web 2.0 assumes a certain interpretation of web history, including enough progress in certain direction to trigger a succession [i.e. web 1.0 → web 2.0]. Others provided arguments in support of this development, and there has been a considerable amount of enthusiasm in the literature. Much research has been busy evaluating current use of web 2.0, and analysis of the user generated content, but an objective and thorough assessment of what web 2.0 really stands for has been to a large extent overlooked. More recently the idea of collective intelligence facilitated via web 2.0, and its potential applications have raised interest with researchers, yet a more unified approach and work in the area of collective intelligence is needed. This thesis identifies and critically evaluates a wider context for the web 2.0 environment, and what caused it to emerge; providing a rich literature review on the topic, a review of existing taxonomies, a quantitative and qualitative evaluation of the concept itself, an investigation of the collective intelligence potential that emerges from application usage. Finally, a framework for harnessing collective intelligence in a more systematic manner is proposed. In addition to the presented results, novel methodologies are also introduced throughout this work. In order to provide interesting insight but also to illustrate analysis, a case study of the recent financial crisis is considered. Some interesting results relating to the crisis are revealed within user generated content data, and relevant issues are discussed where appropriate