International Journal of Engineering Research and Applications (IJERA) is an open access online peer reviewed international journal that publishes research and review articles in the fields of Computer Science, Neural Networks, Electrical Engineering, Software Engineering, Information Technology, Mechanical Engineering, Chemical Engineering, Plastic Engineering, Food Technology, Textile Engineering, Nano Technology & science, Power Electronics, Electronics & Communication Engineering, Computational mathematics, Image processing, Civil Engineering, Structural Engineering, Environmental Engineering, VLSI Testing & Low Power VLSI Design etc.
Semantics for Integrated Analytical Laboratory Processes – the Allotrope Pers...OSTHUS
The software environment currently found in the analytical community consists of a patchwork of incompatible software, proprietary and non-standardized file formats, which is further complicated by incomplete, inconsistent and potentially inaccurate metadata. To overcome these issues, Allotrope Foundation is developing a comprehensive and innovative framework consisting of metadata dictionaries, data standards, and class libraries for managing analytical data throughout its life cycle. In this talk we describe how laboratory data and semantic metadata descriptions are brought together to ease the management of a vast amount of data that underpins almost every aspect of drug discovery and development.
Currently, link recommendation has gained more attention as networked data becomes abundant in several scenarios. However, existing methods for this task have failed in considering solely the structure of dynamic networks for improved performance and accuracy. Hence, in this work, we present a methodology based on the use of multiple topological metrics in order to achieve prospective link recommendations considering time constraints. The combination of such metrics is used as input to binary classification algorithms that state whether two pairs of authors will/should define a link. We experimented with five algorithms, what allowed us to reach high rates of accuracy and to evaluate the different classification paradigms. Our results also demonstrated that time parameters and the activity profile of the authors can significantly influence the recommendation. In the context of DBLP, this research is strategic as it may assist on identifying potential partners, research groups with similar themes, research competition (absence of obvious links), and related work.
Data Usability Assessment for Remote Sensing Data: Accuracy of Interactive Da...Beniamino Murgante
Data Usability Assessment for Remote Sensing Data: Accuracy of Interactive Data Quality Interpretation
Erik Borg, Bernd Fichtelmann - German Aerospace Center, German Remote Sensing Data Center
Hartmut Asche - Department of Geography, University of Potsdam
Cities operate ambient air quality monitoring networks but often do not analyze and interpret the data. Data gets simply "stacked". Networks are not configured correctly capturing the data trends and monitoring objectives. This presentation provides guidance and uses Mumbai's ambient air quality data to illustrate application
These are the slides corresponding to the presentation done at ISWC 2013 in Sydney, for the paper with the same title. Remember to check the main URL: http://j.mp/benchmarkqueryrewriting
International Journal of Engineering Research and Applications (IJERA) is an open access online peer reviewed international journal that publishes research and review articles in the fields of Computer Science, Neural Networks, Electrical Engineering, Software Engineering, Information Technology, Mechanical Engineering, Chemical Engineering, Plastic Engineering, Food Technology, Textile Engineering, Nano Technology & science, Power Electronics, Electronics & Communication Engineering, Computational mathematics, Image processing, Civil Engineering, Structural Engineering, Environmental Engineering, VLSI Testing & Low Power VLSI Design etc.
Semantics for Integrated Analytical Laboratory Processes – the Allotrope Pers...OSTHUS
The software environment currently found in the analytical community consists of a patchwork of incompatible software, proprietary and non-standardized file formats, which is further complicated by incomplete, inconsistent and potentially inaccurate metadata. To overcome these issues, Allotrope Foundation is developing a comprehensive and innovative framework consisting of metadata dictionaries, data standards, and class libraries for managing analytical data throughout its life cycle. In this talk we describe how laboratory data and semantic metadata descriptions are brought together to ease the management of a vast amount of data that underpins almost every aspect of drug discovery and development.
Currently, link recommendation has gained more attention as networked data becomes abundant in several scenarios. However, existing methods for this task have failed in considering solely the structure of dynamic networks for improved performance and accuracy. Hence, in this work, we present a methodology based on the use of multiple topological metrics in order to achieve prospective link recommendations considering time constraints. The combination of such metrics is used as input to binary classification algorithms that state whether two pairs of authors will/should define a link. We experimented with five algorithms, what allowed us to reach high rates of accuracy and to evaluate the different classification paradigms. Our results also demonstrated that time parameters and the activity profile of the authors can significantly influence the recommendation. In the context of DBLP, this research is strategic as it may assist on identifying potential partners, research groups with similar themes, research competition (absence of obvious links), and related work.
Data Usability Assessment for Remote Sensing Data: Accuracy of Interactive Da...Beniamino Murgante
Data Usability Assessment for Remote Sensing Data: Accuracy of Interactive Data Quality Interpretation
Erik Borg, Bernd Fichtelmann - German Aerospace Center, German Remote Sensing Data Center
Hartmut Asche - Department of Geography, University of Potsdam
Cities operate ambient air quality monitoring networks but often do not analyze and interpret the data. Data gets simply "stacked". Networks are not configured correctly capturing the data trends and monitoring objectives. This presentation provides guidance and uses Mumbai's ambient air quality data to illustrate application
These are the slides corresponding to the presentation done at ISWC 2013 in Sydney, for the paper with the same title. Remember to check the main URL: http://j.mp/benchmarkqueryrewriting
7A_3_An ontological modelling of communications for an intelligent transport ...
8B_2_Using sound to represent uncertainty in address locations
1. Using Sound to Represent Uncertainty in Address Locations Nick Bearman and Andrew Lovett PhD School of Environmental Science University of East Anglia [email_address] ; [email_address]
Using sound to represent uncertainty* in address locations *positional accuracy Created an extension to ArcGIS Evaluated this using 49 users of spatial data - Comparing Visual and Sonic methods
Before we look at why I’m using this, I’ll explain a bit about Address Layer 2. What is AL2? Point for each postal address (e.g. 11B Clarendon Road, Norwich, NR2 2PN) Contains lots of information, as well as the postal address and spatial location Links to MasterMap Topo using TOID ( Topographic Identifier ) It also contains some uncertainty information / status flags Data from Norwich MasterMap & AL2.
Uncertainty can be very important Depending on what you are doing with the data AL2 is often used for geolocating data, and subsequent analysis Also for routing – Cornwall example. AL2 contains 5 different status flags Including Positional Accuracy. Which represents the accuracy of the spatial location of the Address Point with relation to the building the address refers to. Which some users ignore – according to Ordnance Survey Staff. Why? it's not relevant users don't think it's relevant (when it is) users can't access the information within the data users can't display the information the information isn't available Am focusing on one issue here – but need to remember about the others. Data – AL2 Technical Spec & OS Usability Document Census Boundaries – AL Coursework 2, Health & deprivation practical. CACI Acorn -http://www.igd.com/index.asp?id=1&fid=5&sid=45&tid=73&cid=481 & CACI Acorn Brochure - http://www.caci.co.uk/acorn/downloads/New%20ACORN%20brochure.pdf Google Maps – 2010
Vision can be saturated Finnish Town & London Crime (Harrow, Stratford, Westminister) So not easy to show uncertainty Alternatives to Vision There are ways of using vision more effectively – but there are times when this isn’t possible Sound is next most powerful sense Little Previous Research Fisher (1994) Uncertainty and Soil Type MacVeigh & Jacobson (2007) Harbour, Sea and Land There is a need for the ability to represent sound in a industry standard GIS, potentially utilising the ability to create custom scripts (ArcObjects) as extensions. These were pilot studies, custom coded. Need to move these to a generic, easily usable environment. No user testing completed No existing research frameworks Piano Notes CEG Triad, was the preferred option in the pilot study Easy to understand – good order. Possibly could have chosen anything though. Very little existing research
AL2 Positional Accuracy Categories Positional Accuracy (PQA) is what we’re interested in. It represents the accuracy of the spatial location of the Address Point with relation to the building the address refers to. Create an extension to ArcGIS Why ArcGIS – easy & what I know Specific requirement for sound to be added to industry standard GIS Prototype Pilot studies at Ordnance Survey & UEA Lead to improvement of extension and questionnaire Reduce 5 categories (sounds) to 3
49 participants, 19 OS, 23 UEA, 7 LA All used GIS and spatial data on a regular basis Two Stages Computer Based Evaluation Presentation Methods Demo Visual Sonic Visual & Sonic Same Visual & Sonic Different Discussion What participants thought about the software and sound More Qualitative results Qual & Quant
Two Main Factors Proportion of Data 25% and 75% easier than 50% As you might expect with geographical data in a visual way. But couldn't find any GIS literature on this. Small amount of research in medical field, looking at how people estimate proportions of stained tissue samples. Presentation Method Visual Sonic Same – best, better than visual only. Visual Only Sonic Only – fairly bad, but similar to VS Different. Visual Sonic Different Logistic Regression To see how the two factors interacted (as it was a combination of the two, rather than one or the other) Also Knowledge of the Data appeared to have an impact – but when this was added into the logistic regression, it wasn’t significant. Discussion Sessions Greater difference between sounds Either different instruments, or completely different sounds. Colour blind users Could be very useful for them, but too small a sample to test effectively.
Summary Sound can work Proportion of Data and Presentation Method - were significant Knowledge of Data - is important so something I need to consider Improvements Task may have limited the wider applicability of the results Possibly use more complex task (e.g. clustering) and/or different sounds Next data UKCP09 – probabilistic climate change data VR Visualisations of Future Landscapes – uncertainty of particular elements in the visualisation