1,054 research outputs found
Also By The Same Author: AKTiveAuthor, a Citation Graph Approach to Name Disambiguation
No full textThe desire for definitive data and the semantic web drive for inference over heterogeneous data sources requires co-reference resolution to be performed on those data. In particular, name disambiguation is required to allow accurate publication lists, citation counts and impact measures to be determined. This paper describes a graph-based approach to author disambiguation on large-scale citation networks. Using self-citation, co-authorship and document source analyses, AKTiveAuthor clusters papers, achieving precision of 0.997 and recall of 0.818 over a test group of eight surname clusters
Distributed human computation framework for linked data co-reference resolution
No full textDistributed Human Computation (DHC) is a technique used to solve computational problems by incorporating the collaborative effort of a large number of humans. It is also a solution to AI-complete problems such as natural language processing. The Semantic Web with its root in AI is envisioned to be a decentralised world-wide information space for sharing machine-readable data with minimal integration costs. There are many research problems in the Semantic Web that are considered as AI-complete problems. An example is co-reference resolution, which involves determining whether different URIs refer to the same entity. This is considered to be a significant hurdle to overcome in the realisation of large-scale Semantic Web applications. In this paper, we propose a framework for building a DHC system on top of the Linked Data Cloud to solve various computational problems. To demonstrate the concept, we are focusing on handling the co-reference resolution in the Semantic Web when integrating distributed datasets. The traditional way to solve this problem is to design machine-learning algorithms. However, they are often computationally expensive, error-prone and do not scale. We designed a DHC system named iamResearcher, which solves the scientific publication author identity co-reference problem when integrating distributed bibliographic datasets. In our system, we aggregated 6 million bibliographic data from various publication repositories. Users can sign up to the system to audit and align their own publications, thus solving the co-reference problem in a distributed manner. The aggregated results are published to the Linked Data Cloud
JFK: The Education of a President
No full textWhat goes into the making of a president? To what extent are the mind and character of the American commander in chief determined by his background, his family — and his education? This article represents a transcript of two lectures Nigel Hamilton presented in the spring and fall of 1989 at the Massachusetts State Archives. They were derived from the preliminary sketches for the author\u27s full-scale biography of John F. Kennedy, to be published by Houghton Mifflin in 1992 on the anniversary of the birth of the thirty-fifth president
Detection of Cognitive Features from Web Resources in Support of Cultural Modeling and Analysis
No full textThe World Wide Web serves as a valuable source of culture-relevant information, which can be used to support cultural modeling and analysis activities. Part of the challenge in exploiting the Web as a source of culture-relevant information relates to the need to detect and extract information about beliefs, attitudes, and values from a variety of different resources. The Web thus features a rich variety of information resources, and these are seldom categorized with respect to the dimensions in which cultural analysts are interested. Exploiting the Web as a source of culture-relevant information therefore requires techniques and approaches that enable cultural analysts to extract relevant information and organize extracted content in various ways. In this paper, we outline an approach to assist cultural analysts in the extraction and organization of relevant information. We show techniques that can be used to extract information about the attitudes, beliefs, and values of individuals, and how this data can, in turn, be used to support cultural modeling and analysis
The “invisible hand” of peer review: The implications of author-referee networks on peer review in a scholarly journal
No full textPeer review is not only a quality screening mechanism for scholarly journals. It also connects authors and referees either directly or indirectly. This means that their positions in the network structure of the community could influence the process, while peer review could in turn influence subsequent networking and collaboration. This paper aims to map these complex network implications by looking at 2232 author/referee couples in an interdisciplinary journal that uses double blind peer review. By reconstructing temporal co-authorship networks, we found that referees tended to recommend more positively submissions by authors who were within three steps in their collaboration network. We also found that co-authorship network positions changed after peer review, with the distances between network neighbours decreasing more rapidly than could have been expected had the changes been random. This suggests that peer review could not only reflect but also create and accelerate scientific collaboration
Combustion and Society: A Fire-Centred History of Energy Use
No full textFire is a force that links everyday human activities to some of the most powerful energetic movements of the Earth. Drawing together the energy-centred social theory of Georges Bataille, the fire-centred environmental history of Stephen Pyne, and the work of a number of ‘pyrotechnology’ scholars, the paper proposes that the generalized study of combustion is a key to contextualizing human energetic practices within a broader ‘economy’ of terrestrial and cosmic energy flows. We examine the relatively recent turn towards fossil-fuelled ‘internal combustion’ in the light of a much longer human history of ‘broadcast’ burning of vegetation and of artisanal pyrotechnologies – the use of heat to transform diverse materials. A combustion-centred analysis, it is argued, brings human collective life into closer contact with the geochemical and geologic conditions of earthly existence, while also pointing to the significance of explorative, experimental and even playful dispositions towards energy and matter. © 2014, SAGE Publications. All rights reserved
Effect of struts and central tower on aerodynamics and aeroacoustics of vertical axis wind turbines using mid-fidelity and high-fidelity methods
No full textThis study investigates the impact of struts and a central tower on the aerodynamics and aeroacoustics of Darrieus Vertical Axis Wind Turbines (VAWTs) at chord-based Reynolds numbers of 8.12 × 104. A 2-bladed H-Darrieus VAWT is used, featuring a 1.5m diameter, a solidity of 0.1 and a blade cross-section of symmetrical NACA 0021. The turbine design is kept simple and straight-bladed which is essential for isolating and analyzing the specific effects of struts and a tower. The high-fidelity Lattice Boltzmann Method (LBM) in PowerFLOW 6-2020 and the mid-fidelity Lifting Line Free Vortex Wake (LLFVW) method in QBlade 2.0 are employed, with the mid-fidelity method providing a faster analytical tool for insights into the turbine performance. Firstly, both the LLFVW (mid-fidelity) and LBM (high-fidelity) methods effectively capture the general trends observed in VAWT power performance. However, the former predicts mean thrust values that are approximately 10% higher, and mean torque values that are approximately 19% higher, in comparison to the latter. Subsequently, the former predicts lower streamwise wake velocities relative to those predicted by the latter. These differences increase in configurations that include struts and a tower (to 30% - 31%). Secondly, the presence of struts and a tower leads to a reduction in both mean power (by 15% to 55%) and thrust (by 3% to 3.6%), with a further small decrease observed when doubling the tower diameter (power and thrust both by 0.5% to 3%). The struts predominantly affect the spanwise distribution of blade loading, while the tower impacts the azimuthal variation of blade loading. Additionally, the addition of struts and a tower reduces low-frequency noise (50-200 Hz) while increasing high-frequency noise (> 300 Hz). The observed decrease in mean blade loading results in reduced low-frequency noise, while the increase in high-frequency noise is ascribed to the increased intensity of BWI/BVI leading to higher unsteady loading fluctuations on blades.Wind Energ
eGovernment
No full textThe use of the Semantic Web (SW) in e-government is reviewed. The challenges for the introduction of SW technology in e-government are surveyed from the point of view both of the SW as a new technology that has yet to reach its full potential, and of e-government as a complex digital application with many constraints, competing interests and drivers, and a large and heterogeneous user base of citizens. The spread of SW technology through e-government is reviewed, looking at a number of international initiatives, and it is argued that pragmatic considerations stemming from the institutional context are as important as technical innovation. To illustrate these points, the chapter looks in detail at recent efforts by the UK government to represent and release public-sector information in order to support integration of heterogeneous information sources by both the government and the citizen. Two projects are focused on. AKTive PSI was a proof of concept, in which information was rerepresented in RDF and made available against specially created ontologies, adding significant value to previously existing databases. Steps in the management of the project are described, to demonstrate how problems of perception can be overcome with relatively little overhead. Secondly, the data.gov.uk project is discussed, showing the technical means by which it has exploited the growth of theWeb of Linked Data to facilitate re-representation and integration of information from diverse and heterogeneous sources. Drawing on experience in data.gov. uk the policy and organizational challenges of deploying SW capabilities at national scales are discussed as well as the prospects for the future
Influence of acetate concentration on acetone production by a modified Acetobacterium woodii
No full textGlobal warming is the driving force for developing production processes of chemical compounds based on CO2 reduction technologies. Bacteria can act as biological catalysts that reduce this gaseous substrate in added-value compounds. Acetobacterium woodii is one of the best-performing strains on H2–CO2 blends and naturally produces acetate. Acetone is a raw material deeply used in the chemical industry, and its global demand is increasing. Acetone-butanol-ethanol (ABE) fermentation is the oldest microbial production platform for acetone synthesis from organic substrates, and Clostridium acetobutylicum is the model strain for its production. In various wild-type acetogens and ABE-producing Clostridium species, acetate positively influences the synthesis of reduced products. In this work, a modified A. woodii strain expressing the enzymes of the acetone pathway from C. acetobutylicum was used to convert H2–CO2 streams into acetone. This study aims to assess the impact of acetate on acetone production catalyzed by such a modified A.woodii. Tests were carried out in serum bottles and a continuous stirred tank reactor up to a pressure of 10 bar, in as-batch or in continuous gassing, providing different gas mixes. Outcomes indicated that acetone synthesis was stimulated when acetate concentration in the medium exceeded the threshold of 100–120 mM. Thus, acetic acid can affect acetone productivity in the modified A. woodii strain. This outcome should be considered in the design of fermentation processes, especially in setting up fermentations with the liquid continuous operative mode
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