E-Learning and microformats: a learning object harvesting model and a sample application

In order to support interoperability of learning tools and reusability of resources, this paper introduces a framework for harvesting learning objects from web-based content. Therefore, commonly-known web technologies are examined with respect to their suitability for harvesting embedded meta-data. Then, a lightweight application profile and a microformat for learning objects are proposed based on well-known learning object metadata standards. Additionally, we describe a web service which utilizes XSL transformation (GRDDL) to extract learning objects from different web pages, and provide a SQI target as a retrieval facility using a more complex query language called SPARQL. Finally, we outline the applicability of our framework on the basis of a search client employing the new SQI service for searching and retrieving learning objects

Characterizing the Landscape of Musical Data on the Web: State of the Art and Challenges

Musical data can be analysed, combined, transformed and exploited for diverse purposes. However, despite the proliferation of digital libraries and repositories for music, infrastructures and tools, such uses of musical data remain scarce. As an initial step to help fill this gap, we present a survey of the landscape of musical data on the Web, available as a Linked Open Dataset: the musoW dataset of catalogued musical resources. We present the dataset and the methodology and criteria for its creation and assessment. We map the identified dimensions and parameters to existing Linked Data vocabularies, present insights gained from SPARQL queries, and identify significant relations between resource features. We present a thematic analysis of the original research questions associated with surveyed resources and identify the extent to which the collected resources are Linked Data-ready

A characteristics framework for Semantic Information Systems Standards

Semantic Information Systems (IS) Standards play a critical role in the development of the networked economy. While their importance is undoubted by all stakeholders—such as businesses, policy makers, researchers, developers—the current state of research leaves a number of questions unaddressed. Terminological confusion exists around the notions of “business semantics”, “business-to-business interoperability”, and “interoperability standards” amongst others. And, moreover, a comprehensive understanding about the characteristics of Semantic IS Standards is missing. The paper addresses this gap in literature by developing a characteristics framework for Semantic IS Standards. Two case studies are used to check the applicability of the framework in a “real-life” context. The framework lays the foundation for future research in an important field of the IS discipline and supports practitioners in their efforts to analyze, compare, and evaluate Semantic IS Standard

Knowledge society arguments revisited in the semantic technologies era

In the light of high profile governmental and international efforts to realise the knowledge society, I review the arguments made for and against it from a technology standpoint. I focus on advanced knowledge technologies with applications on a large scale and in open- ended environments like the World Wide Web and its ambitious extension, the Semantic Web. I argue for a greater role of social networks in a knowledge society and I explore the recent developments in mechanised trust, knowledge certification, and speculate on their blending with traditional societal institutions. These form the basis of a sketched roadmap for enabling technologies for a knowledge society

Context Aware Computing for The Internet of Things: A Survey

As we are moving towards the Internet of Things (IoT), the number of sensors deployed around the world is growing at a rapid pace. Market research has shown a significant growth of sensor deployments over the past decade and has predicted a significant increment of the growth rate in the future. These sensors continuously generate enormous amounts of data. However, in order to add value to raw sensor data we need to understand it. Collection, modelling, reasoning, and distribution of context in relation to sensor data plays critical role in this challenge. Context-aware computing has proven to be successful in understanding sensor data. In this paper, we survey context awareness from an IoT perspective. We present the necessary background by introducing the IoT paradigm and context-aware fundamentals at the beginning. Then we provide an in-depth analysis of context life cycle. We evaluate a subset of projects (50) which represent the majority of research and commercial solutions proposed in the field of context-aware computing conducted over the last decade (2001-2011) based on our own taxonomy. Finally, based on our evaluation, we highlight the lessons to be learnt from the past and some possible directions for future research. The survey addresses a broad range of techniques, methods, models, functionalities, systems, applications, and middleware solutions related to context awareness and IoT. Our goal is not only to analyse, compare and consolidate past research work but also to appreciate their findings and discuss their applicability towards the IoT.Comment: IEEE Communications Surveys & Tutorials Journal, 201

Technical assessment of GeoSUR and comparison with INSPIRE experience in the context of an environmental vulnerability analysis

The use of spatial information has become an important resource for decision support making at national and regional levels. In this respect, several private and public organizations are continuously collecting and producing geospatial data. However, there are still problems that affect the usage of spatial information. As a response to these problems, several spatial data sharing initiatives have been implemented at national, regional and global level. This is also the case of the Infrastructure for Spatial Information in the European Community (INSPIRE) and the Integrated Geospatial Information Network for South America (GeoSUR), both created in 2007. GeoSUR works together with the PAIGH, the Geocentric Reference System for the Americas (SIRGAS) and the Permanent Committee on Geospatial Data Infrastructure for the Americas (PC-IDEA) to consolidate the Spatial Data Infrastructure of the Americas. In this context, the role of GeoSUR is to provide the distribution platform for the SDI and develop geoservices and applications based on institutional spatial databases. This research performs a technical assessment of GeoSUR to identify the extent to which the spatial resources provided by the network area accessible, applicable and usable for decision making processes at regional (multinational) level. In order to do so, this study is conducted in the context of a real case study that implements Spatial Multicriteria Evaluation to assess the environmental vulnerability of the Amazon IIRSA region. Results show strengths at finding spatial resources, and regarding the accessibility to regional datasets in GeoSUR. However several obstacles still limit accessibility, applicability and usability of spatial data to perform regional analysis. In this respect, elements considered by INSPIRE such as common implementing rules and technical guidelines are identified as useful to tackle these obstacles and make the spatial services and datasets of the participant institutions compatible to perform regional analysis.The use of spatial information has become an important resource for decision making. In this respect, several private and public organizations are continuously collecting and producing geospatial data. However, there are still problems that limit the access and usage of spatial information for all people requiring it. As a response to these problems, several initiatives to share and reuse spatial data have been created. The Infrastructure for Spatial Information in the European Community (INSPIRE) and the Integrated Geospatial Information Network for South America (GeoSUR) -both created in 2007- are examples of such initiatives. This study aims to identify to which extent the technical characteristics of the spatial resources available in GeoSUR website allow to support decisions at multinational level in Latin America. In order to do so, an evaluation of how sensitive is the natural environment to degradation is conducted as a case study to select the resources to be assessed. Results show that is relatively easy to discover spatial resources in GeoSUR, but is difficult to download them. Considering INSPIRE as a model in spatial data sharing, it is concluded that some elements from INSPIRE can be gathered and adapted by GeoSUR to improve the characteristics of the spatial data offered

Supporting Usability and Reusability Based on eLearning Standards

The IMS-QTI, and other related specifications have been developed to support the creation of reusable and pedagogically neutral assessment scenarios and content, as stated by the IMS Global Learning Consortium. In this paper we discuss how current specifications both constrain the design of assessment scenarios, and limit content reusability. We also suggest some solutions to overcome these limitations. The paper is based on our experience developing and testing an IMS QTI Lite compliant assessment authoring tool, QAed. It supports teacher centering, which is quite neglected when designing such tools. In the paper we also discuss how to make compatible standards support and user centering in eLearning applications and provide some recommendations for the design of the user interfaces

An IMS-Learning Design Editor for a Higher Education Blended Learning Scenario

The IMS-Learning Design has been developed to support the creation of reusable and pedagogically neutral learning scenarios and content. Although it is especially suitable for eLearning, there is a lot of interest on using it in higher education blended learning scenarios. However there are some related key issues which must be managed such as cultural bias and the need for expensive human resources to design and develop specification compliant units of learning. They can be addressed by the design of ad-hoc editors supporting concrete learning design units of learning. We suggest some solutions to overcome these limitations, based on our experience designing the user interface of an IMS-LD compliant editor, GDUS+. We also explain our user centering approach, and give some conclusions about the benefits of using IMS-LD