2,921 research outputs found

    Changing Higher Education Learning with Web 2.0 and Open Education Citation, Annotation, and Thematic Coding Appendices

    Get PDF
    Appendices of citations, annotations and themes for research conducted on four websites: Delicious, Wikipedia, YouTube, and Facebook

    CHORUS Deliverable 2.2: Second report - identification of multi-disciplinary key issues for gap analysis toward EU multimedia search engines roadmap

    Get PDF
    After addressing the state-of-the-art during the first year of Chorus and establishing the existing landscape in multimedia search engines, we have identified and analyzed gaps within European research effort during our second year. In this period we focused on three directions, notably technological issues, user-centred issues and use-cases and socio- economic and legal aspects. These were assessed by two central studies: firstly, a concerted vision of functional breakdown of generic multimedia search engine, and secondly, a representative use-cases descriptions with the related discussion on requirement for technological challenges. Both studies have been carried out in cooperation and consultation with the community at large through EC concertation meetings (multimedia search engines cluster), several meetings with our Think-Tank, presentations in international conferences, and surveys addressed to EU projects coordinators as well as National initiatives coordinators. Based on the obtained feedback we identified two types of gaps, namely core technological gaps that involve research challenges, and “enablers”, which are not necessarily technical research challenges, but have impact on innovation progress. New socio-economic trends are presented as well as emerging legal challenges

    The genesis and emergence of Web 3.0: a study in the integration of artificial intelligence and the semantic web in knowledge creation

    Get PDF
    The web as we know it has evolved rapidly over the last decade. We have gone from a phase of rapid growth as seen with the dot.com boom where business was king to the current web 2.0 phase where social networking, Wiki’s, Blogs and other related tools flood the bandwidth of the world wide web. The empowerment of the web user with web 2.0 technologies has led to the exponential growth of data, information and knowledge on the web. With this rapid change, there is a need to logically categorise this information and knowledge so it can be fully utilised by all. It can be argued that the power of the knowledge held on the web is not fully exposed under its current structure and to improve this we need to explore the foundations of the web. This dissertation will explore the evolution of the web from its early days to the present day. It will examine the way web content is stored and discuss the new semantic technologies now available to represent this content. The research aims to demonstrate the possibilities of efficient knowledge extraction from a knowledge portal such as a Wiki or SharePoint portal using these semantic technologies. This generation of dynamic knowledge content within a limited domain will attempt to demonstrate the benefits of semantic web to the knowledge age

    he true complexity of product representation in the semantic web

    Get PDF
    The ontological representation of products and services is a core challenge on the road to business applications for the Semantic Web. This will not only help search engines provide more precise product search for human users, but can be expected to support a much higher degree of business process automation in general, especially in all tasks that involve content integration. In industrial data interchange between business partners, the state of the art is the use of common XML schema definitions (e.g. BMEcat) for the representation of structure and the use of classification schemes (e.g. UNSPSC or eCl@ss) for the representation of product semantics. This current practice, however, takes place in well-defined contexts known to both the publisher of data and the recipient, which allows even the usage of the same standard with varying semantics in distinct settings. In a Semantic Web context in contrast, the same document must be machine-readable (1) by a huge number of different partners (2) for a multiplicity of purposes. In other words, the data recipient and the data usage are not predetermined, which makes it much more difficult to reach consensus e.g. about suitable product classes. This paper develops the requirements for product representation in the Semantic Web and evaluates existing alternatives

    Semantic Models as Knowledge Repositories for Data Modellers in the Financial Industry

    Get PDF
    Data modellers working in the financial industry are expected to use both technical and business knowledge to transform data into the information required to meet regulatory reporting requirements. This dissertation explores the role that semantic models such as ontologies and concept maps can play in the acquisition of financial and regulatory concepts by data modellers. While there is widespread use of semantic models in the financial industry to specify how information is exchanged between IT systems, there is limited use of these models as knowledge repositories. The objective of this research is to evaluate the use of a semantic model based knowledge repository using a combination of interviews, model implementation and experimental evaluation. A semantic model implementation is undertaken to represent the knowledge required to understand sample banking regulatory reports. An iterative process of semantic modelling and knowledge acquisition is followed to create a representation of technical and business domain knowledge in the repository. The completed repository is made up of three concept maps hyper-linked to an ontology. An experimental evaluation of the usefulness of the repository is made by asking both expert and novice financial data modellers to answer questions that required both banking knowledge and an understating of the information in regulatory reports. The research suggests that both novice and expert data modellers found the knowledge in the ontology and concept maps to be accessible, effective and useful. The combination of model types allowing for variations in individual styles of knowledge acquisition. The research suggests that the financial trend in the financial industry for semantic models and ontologies would benefit from knowledge management and modelling techniques

    Semantic and pragmatic characterization of learning objects

    Get PDF
    Tese de doutoramento. Engenharia Informática. Universidade do Porto. Faculdade de Engenharia. 201

    CHORUS Deliverable 2.1: State of the Art on Multimedia Search Engines

    Get PDF
    Based on the information provided by European projects and national initiatives related to multimedia search as well as domains experts that participated in the CHORUS Think-thanks and workshops, this document reports on the state of the art related to multimedia content search from, a technical, and socio-economic perspective. The technical perspective includes an up to date view on content based indexing and retrieval technologies, multimedia search in the context of mobile devices and peer-to-peer networks, and an overview of current evaluation and benchmark inititiatives to measure the performance of multimedia search engines. From a socio-economic perspective we inventorize the impact and legal consequences of these technical advances and point out future directions of research
    • …
    corecore