6,602 research outputs found

    Building a diversity featured search system by fusing existing tools

    Get PDF
    This paper describes our diversity featured retrieval system which are built for the task of ImageCLEFPhoto 2008. Two existing tools are used: Solr and Carrot. We have experimented with different settings of the system to see how the performance changes. The results suggest that the system can indeed increase diversity of the retrieved results and keep the precision about the same

    Innovate Magazine / Annual Review 2010-2011

    Get PDF
    https://scholarworks.sjsu.edu/innovate/1001/thumbnail.jp

    Linked Data - the story so far

    No full text
    The term “Linked Data” refers to a set of best practices for publishing and connecting structured data on the Web. These best practices have been adopted by an increasing number of data providers over the last three years, leading to the creation of a global data space containing billions of assertions— the Web of Data. In this article, the authors present the concept and technical principles of Linked Data, and situate these within the broader context of related technological developments. They describe progress to date in publishing Linked Data on the Web, review applications that have been developed to exploit the Web of Data, and map out a research agenda for the Linked Data community as it moves forward

    Vol. 5, no. 1, Fall 2009

    Get PDF

    Figuring the Plural

    Get PDF
    This report is an examination of ethnocultural, or ethnically/culturally specific, arts organizations in Canada and the United States.As our societies rapidly diversify and we seek to negotiate our increasingly complex national identities, these organizations possess enormous potential to assist in this process for they serve as cultural advocates, cultural interpreters, facilitators of cross-cultural understanding and communication keepers of ethnic tradition, and/or sites where prejudice is exposed and challenged

    London Creative and Digital Fusion

    Get PDF
    date-added: 2015-03-24 04:16:59 +0000 date-modified: 2015-03-24 04:16:59 +0000date-added: 2015-03-24 04:16:59 +0000 date-modified: 2015-03-24 04:16:59 +0000The London Creative and Digital Fusion programme of interactive, tailored and in-depth support was designed to support the UK capital’s creative and digital companies to collaborate, innovate and grow. London is a globally recognised hub for technology, design and creative genius. While many cities around the world can claim to be hubs for technology entrepreneurship, London’s distinctive potential lies in the successful fusion of world-leading technology with world-leading design and creativity. As innovation thrives at the edge, where better to innovate than across the boundaries of these two clusters and cultures? This booklet tells the story of Fusion’s innovation journey, its partners and its unique business support. Most importantly of all it tells stories of companies that, having worked with London Fusion, have innovated and grown. We hope that it will inspire others to follow and build on our beginnings.European Regional Development Fund 2007-13

    From Knowledge Augmentation to Multi-tasking: Towards Human-like Dialogue Systems

    Full text link
    The goal of building dialogue agents that can converse with humans naturally has been a long-standing dream of researchers since the early days of artificial intelligence. The well-known Turing Test proposed to judge the ultimate validity of an artificial intelligence agent on the indistinguishability of its dialogues from humans'. It should come as no surprise that human-level dialogue systems are very challenging to build. But, while early effort on rule-based systems found limited success, the emergence of deep learning enabled great advance on this topic. In this thesis, we focus on methods that address the numerous issues that have been imposing the gap between artificial conversational agents and human-level interlocutors. These methods were proposed and experimented with in ways that were inspired by general state-of-the-art AI methodologies. But they also targeted the characteristics that dialogue systems possess.Comment: PhD thesi

    Ecology, biodiversity and mining: Science and solving the challenges

    Get PDF
    Mining has an impact on the ecology and biodiversity of an area, and this impact is required to be mitigated under regulatory requirements. The mitigation is achieved by applying measures, deeply rooted in scientific knowledge, of the functioning of the impacted (and rehabilitated) ecosystems and the biota supported by these ecosystems. This paper focusses on selected issues of the pre-mining ecology and biodiversity surveys and the scientific basis of regulatory requirements. Using Western Australian experience and drawing on comparisons from other countries, this paper addresses two challenges. The first is the classification of vegetation of mining tenements to inform on the variability of vegetation using a series of data-analytical experiments. The paper reveals flaws in the current practise aimed at recognition and description of plant communities in vegetation surveys. Concrete steps serving and enhancing the clarity and plausibility of regulatory tools (guidance manuals) are identified. It also advises on what we should do if we find discrepancies between the regulatory expectations and the level they reflect current scientific knowledge. The second is the comparative and spatial aspects of the identification of communities of conservation interest. The paper further identifies the missing vital information of the vegetation mapping procedures and briefly analyses the need for tools assisting assessment of conservation value of the vegetation classifications, including the building of a centralised vegetation database, formulation of vegetation and habitat classification systems, and construction of scientifically sound and ecologically informative vegetation maps at various scales of complexity
    corecore