A Linked Data representation of the Nomenclature of Territorial Units for Statistics

The recent publication of public sector information (PSI) data sets has brought to the attention of the scientific community the redundant presence of location based context. At the same time it stresses the inadequacy of current Linked Data services for exploiting the semantics of such contextual dimensions for easing entity retrieval and browsing. In this paper describes our approach for supporting the publication of geographical subdivisions in Linked Data format for supporting the e-government and public sector in publishing their data sets. The topological knowledge published can be reused in order to enrich the geographical context of other data sets, in particular we propose an exploitation scenario using statistical data sets described with the SCOVO ontology. The topological knowledge is then exploited within a service that supports the navigation and retrieval of statistical geographical entities for the EU territory. Geographical entities, in the extent of this paper, are linked data resources that describe objects that have a geographical extension. The data and services presented in this paper allows the discovery of resources that contain or are contained by a given entity URI and their representation within map widgets. We present an approach for a geography based service that helps in querying qualitative spatial relations for the EU statistical geography (proper containment so far). We also provide a rationale for publishing geographical information in Linked Data format based on our experience, within the EnAKTing project, in publishing UK PSI data

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

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

Quality Dimensions for B2C E-Commerce

Organizations have still not realized the full potential of e-commerce. One factor that is likely to influence the further adoption of e-commerce is the quality of the e-commerce system as system quality impacts user satisfaction and hence use of the system. However, in order to improve the quality of any systems, one first needs to identify measures to assess quality. Although other researchers have recognized the need for such measures, they have primarily focused on a single specific aspect of e-commerce systems, typically the user interface. In this paper we identify the key components of e-commerce systems and synthesize existing research related to quality of these components to arrive at a comprehensive list of quality dimensions, which in turn provide measures to assess the quality of e-commerce systems

User modeling for exploratory search on the Social Web. Exploiting social bookmarking systems for user model extraction, evaluation and integration

Exploratory search is an information seeking strategy that extends be- yond the query-and-response paradigm of traditional Information Retrieval models. Users browse through information to discover novel content and to learn more about the newly discovered things. Social bookmarking systems integrate well with exploratory search, because they allow one to search, browse, and filter social bookmarks. Our contribution is an exploratory tag search engine that merges social bookmarking with exploratory search. For this purpose, we have applied collaborative filtering to recommend tags to users. User models are an im- portant prerequisite for recommender systems. We have produced a method to algorithmically extract user models from folksonomies, and an evaluation method to measure the viability of these user models for exploratory search. According to our evaluation web-scale user modeling, which integrates user models from various services across the Social Web, can improve exploratory search. Within this thesis we also provide a method for user model integra- tion. Our exploratory tag search engine implements the findings of our user model extraction, evaluation, and integration methods. It facilitates ex- ploratory search on social bookmarks from Delicious and Connotea and pub- lishes extracted user models as Linked Data

Ontological Matchmaking in Recommender Systems

The electronic marketplace offers great potential for the recommendation of supplies. In the so called recommender systems, it is crucial to apply matchmaking strategies that faithfully satisfy the predicates specified in the demand, and take into account as much as possible the user preferences. We focus on real-life ontology-driven matchmaking scenarios and identify a number of challenges, being inspired by such scenarios. A key challenge is that of presenting the results to the users in an understandable and clear-cut fashion in order to facilitate the analysis of the results. Indeed, such scenarios evoke the opportunity to rank and group the results according to specific criteria. A further challenge consists of presenting the results to the user in an asynchronous fashion, i.e. the 'push' mode, along with the 'pull' mode, in which the user explicitly issues a query, and displays the results. Moreover, an important issue to consider in real-life cases is the possibility of submitting a query to multiple providers, and collecting the various results. We have designed and implemented an ontology-based matchmaking system that suitably addresses the above challenges. We have conducted a comprehensive experimental study, in order to investigate the usability of the system, the performance and the effectiveness of the matchmaking strategies with real ontological datasets.Comment: 28 pages, 8 figure

Designing for Optimum Experiences in Online Retail: The Impact of Website Design on Flow in Online Retail Environments

Online shopping is increasingly popular and is expected to grow significantly. The buying of retail items online now forms a vital part of the retail economy (ONS, 2018). Online sales have seen a steady increase since 2008 with 18% of total retail sales occurring online in 2019 (ONS, 2019). The rise in store closures together with the growth in online sales has led to an increased interest in understanding consumer behaviour in online retail (PWC, ONS 2019). Over the last two decades, both retailers and consumers have become increasingly experience orientated. The provision of a memorable customer experience in online retail is seen as a competitive advantage from a service delivery perspective; due to its impact on desirable customer outcomes. However, there is limited research exploring a comprehensive set of website design features that contribute to an optimum online experience that impacts customer outcomes such as satisfaction and intention to purchase. The thesis provides an intellectual understanding of the facilitation of a memorable customer experience online by understanding the impact of website design elements on the overall customer experience in online retail. Understanding how to design websites for optimum customer experience can afford retailers a strong competitive advantage. Further to understand customer outcomes, the research explores the role of flow experience which addresses the cognitive involvement of the customer. The relationship between website design features, flow experience and customer outcomes is examined. Online retailers are increasingly focusing on providing an exceptional customer experience as a key characteristic of the service delivery system. Flow offers a distinctive approach to explore customer experience and can be described as a state of optimum experience. Research indicates that customers who achieve flow are acutely immersed in the online environment. Acute involvement in the navigation process, for example, results in immersion within the online system. Successful experiences are assumed to have a significant impact on customer outcomes. These include purchase decisions, loyalty and an affinity with a retailer. This, therefore, provides opportunities for strategic differentiation. Website design is one of the significant factors that contribute to e-commerce success; building intuitive and engaging websites is crucial for online retailers as it generates a positive experience which 2 leads to more online buying, customer satisfaction and loyalty. This research examines whether customers who achieve flow due to their interaction with specific website design attributes during their online shopping experience are more likely to leave satisfied and exhibit intention to purchase