This document discusses linking hydrological observation datasets to specific hydrological features using standardized semantics. The authors implement an interface in OpenStreetMap to represent surface water features using standardized ontology terms. They model the interlinking between hydrological features and monitoring points using the VoID and DCAT vocabularies. This provides a flexible way to describe relationships between datasets and enables navigation between features and observations. The proof of concept implementation is inspired by challenges faced by a disaster monitoring organization and uses open data standards to lift datasets to the web of linked open data.
Interlinking Standardized OpenStreetMap Data and Citizen Science Data in the ...Werner Leyh
Abstract. The aim of this work is to explore the opportunities offered by
semantic standardization to interlink primary “spatial data” (GI) from “Open-
StreetMap” (OSM) with repositories of the “Linked Open Data Cloud” (LOD).
Research in natural sciences can generate vast amounts of spatial data, where
Wikidata could be considered as the central hub between more detailed natural
science hubs on the spatial semantic web. Wikidata is a world readable and
writable community-driven knowledge base. It offers the opportunity to collaboratively
construct an open access knowledge graph that spans biology,
medicine, and all other domains of knowledge. In this study, we discuss
the opportunities and challenges provided by exploring Wikidata as a central
integration facility by interlink it with OSM, a popular, community driven
collection of free geographic data. This is empowered by the reuse of terms
and properties from commonly understood controlled vocabularies that
represent their respective well-identified knowledge domains.
URL: https://www.springerprofessional.de/en/interlinking-standardized-openstreetmap-data-and-citizen-science/13302088
DOI: https://doi.org/10.1007/978-3-319-60366-7_9
Werner Leyh, Homero Fonseca Filho
University of São Paulo (USP), São Paulo, Brazil
WernerLeyh@yahoo.com
Citizen Science Involving Collections of Standardized Community DataWerner Leyh
Abstract. The interest of “Citizen Scientists” in their local environment is
potentially of great value because they can assist in supplying essential “Environmental
Knowledge” in an efficient and cost-effective way. This is particularly
the case when “Volunteered Data” is registered in a standardized manner,
interoperable with the data created by official institutions. The present work
incorporates OpenStreetMap (OSM) and broadly accepted metadata-standards,
that are controlled by scientific communities, to include the use of standardized
interfaces for volunteered data contributions. An essential requirement for citizen
science to operate, is the participation of the people. Spatial cognition is concerned
with the acquisition, organization, employment, and examination of
“knowledge about spatial environments”. By this means “knowledge about
spatial environments” is related to geographic proximity. Both OSM and metadata
standards explore recent technologies for “Semantic Web” (SW) and
“Linked Open Data” (LOD) enablement. The present study discusses the challenges
and effects of standardized community contributions.
DOI: https://doi.org/10.1007/978-3-319-60642-2_39
URL: https://www.springerprofessional.de/citizen-science-involving-collections-of-standardized-community-/12355456
Werner Leyh1, Maria Fava2, Narumi Abe2, Sandra Cavalcante3,
Leandro Giatti3, Carolina Monteiro de Carvalho3,
Homero Fonseca Filho4, and Clemens Jacobs5
1 Department of Computer Science,
University of São Paulo (USP), São Paulo, Brazil
WernerLeyh@yahoo.com
2 São Carlos School of Engineering,
University of São Paulo (USP), São Paulo, Brazil
mfava7@gmail.com, mail.narumi@gmail.com
3 Department of Environmental Health,
University of Sao Paulo (USP), São Paulo, Brazil
sandracavalcante@uol.com.br, lgiatti@usp.br,
carvalhocm@gmail.com
4 Environmental Management, School of Arts, Sciences and Humanities,
University of São Paulo, USP, São Paulo, SP, Brazil
homeroff@usp.br
5 GIScience, Institute of Geography, Heidelberg University,
Heidelberg, Germany
c.jacobs@uni-heidelberg.de
DSD-INT 2019 A new hydrological modelling framework for the Rhine - van Osnab...Deltares
Presentation by Bart van Osnabrugge, Wageningen University and Deltares, at the wflow - User Day (Developments in distributed hydrological modelling), during Delft Software Days - Edition 2019. Friday, 08 November 2019, Delft.
Experiences as a producer, consumer and observer of open dataProgCity
Peter Mooney, is an Environmental Protection Agency (EPA) funded Research Fellow at the Department of Computer Science, NUI Maynooth. He has been working with the EPA on making environmental data publicly accessibly for the last ten years.
Presentation was part of The 1st Seminar of the ERC Funded Programmable City Project based at NIRSA, NUI Maynooth, Republic of Ireland.
Interlinking Standardized OpenStreetMap Data and Citizen Science Data in the ...Werner Leyh
Abstract. The aim of this work is to explore the opportunities offered by
semantic standardization to interlink primary “spatial data” (GI) from “Open-
StreetMap” (OSM) with repositories of the “Linked Open Data Cloud” (LOD).
Research in natural sciences can generate vast amounts of spatial data, where
Wikidata could be considered as the central hub between more detailed natural
science hubs on the spatial semantic web. Wikidata is a world readable and
writable community-driven knowledge base. It offers the opportunity to collaboratively
construct an open access knowledge graph that spans biology,
medicine, and all other domains of knowledge. In this study, we discuss
the opportunities and challenges provided by exploring Wikidata as a central
integration facility by interlink it with OSM, a popular, community driven
collection of free geographic data. This is empowered by the reuse of terms
and properties from commonly understood controlled vocabularies that
represent their respective well-identified knowledge domains.
URL: https://www.springerprofessional.de/en/interlinking-standardized-openstreetmap-data-and-citizen-science/13302088
DOI: https://doi.org/10.1007/978-3-319-60366-7_9
Werner Leyh, Homero Fonseca Filho
University of São Paulo (USP), São Paulo, Brazil
WernerLeyh@yahoo.com
Citizen Science Involving Collections of Standardized Community DataWerner Leyh
Abstract. The interest of “Citizen Scientists” in their local environment is
potentially of great value because they can assist in supplying essential “Environmental
Knowledge” in an efficient and cost-effective way. This is particularly
the case when “Volunteered Data” is registered in a standardized manner,
interoperable with the data created by official institutions. The present work
incorporates OpenStreetMap (OSM) and broadly accepted metadata-standards,
that are controlled by scientific communities, to include the use of standardized
interfaces for volunteered data contributions. An essential requirement for citizen
science to operate, is the participation of the people. Spatial cognition is concerned
with the acquisition, organization, employment, and examination of
“knowledge about spatial environments”. By this means “knowledge about
spatial environments” is related to geographic proximity. Both OSM and metadata
standards explore recent technologies for “Semantic Web” (SW) and
“Linked Open Data” (LOD) enablement. The present study discusses the challenges
and effects of standardized community contributions.
DOI: https://doi.org/10.1007/978-3-319-60642-2_39
URL: https://www.springerprofessional.de/citizen-science-involving-collections-of-standardized-community-/12355456
Werner Leyh1, Maria Fava2, Narumi Abe2, Sandra Cavalcante3,
Leandro Giatti3, Carolina Monteiro de Carvalho3,
Homero Fonseca Filho4, and Clemens Jacobs5
1 Department of Computer Science,
University of São Paulo (USP), São Paulo, Brazil
WernerLeyh@yahoo.com
2 São Carlos School of Engineering,
University of São Paulo (USP), São Paulo, Brazil
mfava7@gmail.com, mail.narumi@gmail.com
3 Department of Environmental Health,
University of Sao Paulo (USP), São Paulo, Brazil
sandracavalcante@uol.com.br, lgiatti@usp.br,
carvalhocm@gmail.com
4 Environmental Management, School of Arts, Sciences and Humanities,
University of São Paulo, USP, São Paulo, SP, Brazil
homeroff@usp.br
5 GIScience, Institute of Geography, Heidelberg University,
Heidelberg, Germany
c.jacobs@uni-heidelberg.de
DSD-INT 2019 A new hydrological modelling framework for the Rhine - van Osnab...Deltares
Presentation by Bart van Osnabrugge, Wageningen University and Deltares, at the wflow - User Day (Developments in distributed hydrological modelling), during Delft Software Days - Edition 2019. Friday, 08 November 2019, Delft.
Experiences as a producer, consumer and observer of open dataProgCity
Peter Mooney, is an Environmental Protection Agency (EPA) funded Research Fellow at the Department of Computer Science, NUI Maynooth. He has been working with the EPA on making environmental data publicly accessibly for the last ten years.
Presentation was part of The 1st Seminar of the ERC Funded Programmable City Project based at NIRSA, NUI Maynooth, Republic of Ireland.
Metadata as Linked Data for Research Data Repositoriesandrea huang
“Every man has his own cosmology and who can say that his own is right.” said by Einstein. This is also true when we come to understand data semantics that one data may be different interpreted by different data creators, curators and re-users. Then, how do we build a better research data repository?
We start with the point made by Willis, C., Greenberg, J., & White, H. (2012) that the metadata of research data increases the access to and reuse of the data. And Stanford, Harvard, and Cornell believe the use of linked data technologies is a promising method to gather contextual information about research resources.
To look for inspiration tools that can meet the urgent needs of innovative solutions providing feature-rich services for helping data publishing such as visualization, validation & reuse in different applications by research repositories (Assante, et.al, 2016), the CKAN (Comprehensive Knowledge Archive Network) as a major solution that makes linked metadata available, citable, and validated becomes our first choice.
Original file: http://m.odw.tw/u/odw/m/metadata-as-linked-data-for-research-data-repositories/
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.
Paul Satur
POLICY SEMINAR
Water & SDGs - Downscaling WATer relevant SDGs (DWAT-SDGs)
2023 UN Water Conference Side Event
Jointly organized with the International Water Resources Association (IWRA)
MAR 20, 2023 - 10:00 TO 11:00AM EDT
Panel 2: Understanding Risk in Natural and Manmade SystemsResilienceByDesign
Risk plays an increasingly large role in shaping our cities. Risks on a global scale, such as terror threats and climate change, challenge cities to prepare and become resilient. At the same time, spatial decisions are often more driven by risks on a project scale, such as political calculations or the ability to obtain finance.
The panel will focus on understanding the complex roles of risk, and look at different ways in which systems theory helps us understand risk in our cities and landscapes. For instance, it is now understood that for a city to become resilient one has to look at physical, social, organizational aspects, understand the interdependencies between these aspects, and look at the ability to ‘learn’ and adapt. [We think our cities as complex adaptive systems, systems of many components, at different levels of organization, that interact in non-linear ways to adapt to changing environments – add or not? MB] What does this understanding of cities and landscape mean for the role of designers? Can design thinking be a form of systems thinking?
The practice of system dynamics: exploring the role of XBRL in an environment...Maria Mora
The purpose of this study is to explore environmental reporting as a complex problem using System Dynamics tools to analyse and frame its complexity. This study proposes the use of XBRL (eXtensible Business Reporting Language) as an emerging technology to handle environmental-related reporting challenges and, thus, to define new business opportunities. In order to explore these issues, we focus on the Carbon Disclosure Project (CDP) as an environmental reporting model.
From data portal to knowledge portal: Leveraging semantic technologies to sup...Xiaogang (Marshall) Ma
Scientific research practices regularly adopt new technologies and platforms in an effort to increase information timeliness, sharing and discoverability. There are many initiatives related to open data, open code, open access, open collections, composing the topic of Open Science in academia. Being open has two levels of meanings. The first is to make the data, code, sample collections and publications, etc. freely accessible online. The other is the annotation and connection between those resources to establish the provenance information for reproducible scientific research. In this paper we present our work on a web portal for the Deep Carbon Observatory (DCO) community. The DCO is a 10-year (2009-2019) initiative to intensify global attention and scientific effort in the burgeoning field of deep carbon science. Inspired by guiding questions such as “how much carbon does Earth contain?”, “where is it?” and “what can deep carbon tell us about origins?” more than 1000 scientists across the world are actively participating in the DCO community. The DCO web portal is a research collaboration website developed to keep track of all researchers, organizations, instruments, field sites, and research outputs related to the DCO community. We intend for the DCO web portal to be a knowledge portal - adopting state-of-the-art semantic technologies to support various stages of the scientific process within and beyond the DCO community.
Webinar series: Public engagement, education and outreach for carbon capture ...Global CCS Institute
The public engagement, education and outreach for CCS Webinar Series kicked off this September with a stellar opportunity to join three international public engagement experts, as they reflected on the key research findings and lessons learned from over 10 years of social research and project engagement experience.
World-renowned social researcher and IEAGHG Social Research Network Chair Peta Ashworth started the discussion by setting out her key lessons learned, and what future challenges and opportunities she perceives for public engagement with CCS.
An expert panel made up of Sarah Wade, Environmental Regulation and Policy Consultant and Coordinator of the Outreach Working Group for the US Department of Energy Regional Carbon Sequestration Partnership Initiative, and Norm Sacuta, Communication Manager at the Petroleum Technology Research Centre and Director of Communications for the IEAGHG Weyburn-Midale CO2 Monitoring and Storage Project, then discussed these conclusions and their own experiences of engaging the public, before opening the Webinar up to questions from the audience.
This entire Webinar Series has been designed to hear directly from the experts and project practitioners researching and delivering public engagement, education and outreach best practice for CCS.
This first Webinar combined elements of social research with real world application and discussion, showcasing important learnings, and concluding with links to further publications and resources for those wishing to learn more.
D14.1 - This report documents the extended Conceptual Reference Model including its standardised description (e.g. in RDFS or OWL). It incorporates the outcomes of Task 14.1, Extending the Conceptual Reference Model and 14.2. Integrating Complex Entities and Relations.
Authors:
Martin Doerr,
Maria Theodoridou
FORTH
Presentation of the NMC Horizon Report > 2012 Higher Ed Edition at ASTD Golde...New Media Consortium
NMC Director of Communications and 2012 Horizon.HE Advisory Board Member Paul Signorelli present the NMC Horizon Report > 2012 Higher Ed Edition at ASTD Golden Gate chapter meeting. The emerging technologies discussed include tablets, mobile apps, game-based learning, and more.
Drowning in information – the need of macroscopes for research fundingAndrea Scharnhorst
Andrea Scharnhorst (2015) Drowning in information – the need of macroscopes for research funding. Presentation at the international conference: PLANNING, PREDICTION, SCENARIOS - Using Simulations and Maps - 2015 Annual EA Conference - 11–12 May 2015 Bonn
Metadata as Linked Data for Research Data Repositoriesandrea huang
“Every man has his own cosmology and who can say that his own is right.” said by Einstein. This is also true when we come to understand data semantics that one data may be different interpreted by different data creators, curators and re-users. Then, how do we build a better research data repository?
We start with the point made by Willis, C., Greenberg, J., & White, H. (2012) that the metadata of research data increases the access to and reuse of the data. And Stanford, Harvard, and Cornell believe the use of linked data technologies is a promising method to gather contextual information about research resources.
To look for inspiration tools that can meet the urgent needs of innovative solutions providing feature-rich services for helping data publishing such as visualization, validation & reuse in different applications by research repositories (Assante, et.al, 2016), the CKAN (Comprehensive Knowledge Archive Network) as a major solution that makes linked metadata available, citable, and validated becomes our first choice.
Original file: http://m.odw.tw/u/odw/m/metadata-as-linked-data-for-research-data-repositories/
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.
Paul Satur
POLICY SEMINAR
Water & SDGs - Downscaling WATer relevant SDGs (DWAT-SDGs)
2023 UN Water Conference Side Event
Jointly organized with the International Water Resources Association (IWRA)
MAR 20, 2023 - 10:00 TO 11:00AM EDT
Panel 2: Understanding Risk in Natural and Manmade SystemsResilienceByDesign
Risk plays an increasingly large role in shaping our cities. Risks on a global scale, such as terror threats and climate change, challenge cities to prepare and become resilient. At the same time, spatial decisions are often more driven by risks on a project scale, such as political calculations or the ability to obtain finance.
The panel will focus on understanding the complex roles of risk, and look at different ways in which systems theory helps us understand risk in our cities and landscapes. For instance, it is now understood that for a city to become resilient one has to look at physical, social, organizational aspects, understand the interdependencies between these aspects, and look at the ability to ‘learn’ and adapt. [We think our cities as complex adaptive systems, systems of many components, at different levels of organization, that interact in non-linear ways to adapt to changing environments – add or not? MB] What does this understanding of cities and landscape mean for the role of designers? Can design thinking be a form of systems thinking?
The practice of system dynamics: exploring the role of XBRL in an environment...Maria Mora
The purpose of this study is to explore environmental reporting as a complex problem using System Dynamics tools to analyse and frame its complexity. This study proposes the use of XBRL (eXtensible Business Reporting Language) as an emerging technology to handle environmental-related reporting challenges and, thus, to define new business opportunities. In order to explore these issues, we focus on the Carbon Disclosure Project (CDP) as an environmental reporting model.
From data portal to knowledge portal: Leveraging semantic technologies to sup...Xiaogang (Marshall) Ma
Scientific research practices regularly adopt new technologies and platforms in an effort to increase information timeliness, sharing and discoverability. There are many initiatives related to open data, open code, open access, open collections, composing the topic of Open Science in academia. Being open has two levels of meanings. The first is to make the data, code, sample collections and publications, etc. freely accessible online. The other is the annotation and connection between those resources to establish the provenance information for reproducible scientific research. In this paper we present our work on a web portal for the Deep Carbon Observatory (DCO) community. The DCO is a 10-year (2009-2019) initiative to intensify global attention and scientific effort in the burgeoning field of deep carbon science. Inspired by guiding questions such as “how much carbon does Earth contain?”, “where is it?” and “what can deep carbon tell us about origins?” more than 1000 scientists across the world are actively participating in the DCO community. The DCO web portal is a research collaboration website developed to keep track of all researchers, organizations, instruments, field sites, and research outputs related to the DCO community. We intend for the DCO web portal to be a knowledge portal - adopting state-of-the-art semantic technologies to support various stages of the scientific process within and beyond the DCO community.
Webinar series: Public engagement, education and outreach for carbon capture ...Global CCS Institute
The public engagement, education and outreach for CCS Webinar Series kicked off this September with a stellar opportunity to join three international public engagement experts, as they reflected on the key research findings and lessons learned from over 10 years of social research and project engagement experience.
World-renowned social researcher and IEAGHG Social Research Network Chair Peta Ashworth started the discussion by setting out her key lessons learned, and what future challenges and opportunities she perceives for public engagement with CCS.
An expert panel made up of Sarah Wade, Environmental Regulation and Policy Consultant and Coordinator of the Outreach Working Group for the US Department of Energy Regional Carbon Sequestration Partnership Initiative, and Norm Sacuta, Communication Manager at the Petroleum Technology Research Centre and Director of Communications for the IEAGHG Weyburn-Midale CO2 Monitoring and Storage Project, then discussed these conclusions and their own experiences of engaging the public, before opening the Webinar up to questions from the audience.
This entire Webinar Series has been designed to hear directly from the experts and project practitioners researching and delivering public engagement, education and outreach best practice for CCS.
This first Webinar combined elements of social research with real world application and discussion, showcasing important learnings, and concluding with links to further publications and resources for those wishing to learn more.
D14.1 - This report documents the extended Conceptual Reference Model including its standardised description (e.g. in RDFS or OWL). It incorporates the outcomes of Task 14.1, Extending the Conceptual Reference Model and 14.2. Integrating Complex Entities and Relations.
Authors:
Martin Doerr,
Maria Theodoridou
FORTH
Presentation of the NMC Horizon Report > 2012 Higher Ed Edition at ASTD Golde...New Media Consortium
NMC Director of Communications and 2012 Horizon.HE Advisory Board Member Paul Signorelli present the NMC Horizon Report > 2012 Higher Ed Edition at ASTD Golden Gate chapter meeting. The emerging technologies discussed include tablets, mobile apps, game-based learning, and more.
Drowning in information – the need of macroscopes for research fundingAndrea Scharnhorst
Andrea Scharnhorst (2015) Drowning in information – the need of macroscopes for research funding. Presentation at the international conference: PLANNING, PREDICTION, SCENARIOS - Using Simulations and Maps - 2015 Annual EA Conference - 11–12 May 2015 Bonn
Deep Behavioral Phenotyping in Systems Neuroscience for Functional Atlasing a...Ana Luísa Pinho
Functional Magnetic Resonance Imaging (fMRI) provides means to characterize brain activations in response to behavior. However, cognitive neuroscience has been limited to group-level effects referring to the performance of specific tasks. To obtain the functional profile of elementary cognitive mechanisms, the combination of brain responses to many tasks is required. Yet, to date, both structural atlases and parcellation-based activations do not fully account for cognitive function and still present several limitations. Further, they do not adapt overall to individual characteristics. In this talk, I will give an account of deep-behavioral phenotyping strategies, namely data-driven methods in large task-fMRI datasets, to optimize functional brain-data collection and improve inference of effects-of-interest related to mental processes. Key to this approach is the employment of fast multi-functional paradigms rich on features that can be well parametrized and, consequently, facilitate the creation of psycho-physiological constructs to be modelled with imaging data. Particular emphasis will be given to music stimuli when studying high-order cognitive mechanisms, due to their ecological nature and quality to enable complex behavior compounded by discrete entities. I will also discuss how deep-behavioral phenotyping and individualized models applied to neuroimaging data can better account for the subject-specific organization of domain-general cognitive systems in the human brain. Finally, the accumulation of functional brain signatures brings the possibility to clarify relationships among tasks and create a univocal link between brain systems and mental functions through: (1) the development of ontologies proposing an organization of cognitive processes; and (2) brain-network taxonomies describing functional specialization. To this end, tools to improve commensurability in cognitive science are necessary, such as public repositories, ontology-based platforms and automated meta-analysis tools. I will thus discuss some brain-atlasing resources currently under development, and their applicability in cognitive as well as clinical neuroscience.
Professional air quality monitoring systems provide immediate, on-site data for analysis, compliance, and decision-making.
Monitor common gases, weather parameters, particulates.
Nutraceutical market, scope and growth: Herbal drug technologyLokesh Patil
As consumer awareness of health and wellness rises, the nutraceutical market—which includes goods like functional meals, drinks, and dietary supplements that provide health advantages beyond basic nutrition—is growing significantly. As healthcare expenses rise, the population ages, and people want natural and preventative health solutions more and more, this industry is increasing quickly. Further driving market expansion are product formulation innovations and the use of cutting-edge technology for customized nutrition. With its worldwide reach, the nutraceutical industry is expected to keep growing and provide significant chances for research and investment in a number of categories, including vitamins, minerals, probiotics, and herbal supplements.
Toxic effects of heavy metals : Lead and Arsenicsanjana502982
Heavy metals are naturally occuring metallic chemical elements that have relatively high density, and are toxic at even low concentrations. All toxic metals are termed as heavy metals irrespective of their atomic mass and density, eg. arsenic, lead, mercury, cadmium, thallium, chromium, etc.
Comparing Evolved Extractive Text Summary Scores of Bidirectional Encoder Rep...University of Maribor
Slides from:
11th International Conference on Electrical, Electronics and Computer Engineering (IcETRAN), Niš, 3-6 June 2024
Track: Artificial Intelligence
https://www.etran.rs/2024/en/home-english/
The ability to recreate computational results with minimal effort and actionable metrics provides a solid foundation for scientific research and software development. When people can replicate an analysis at the touch of a button using open-source software, open data, and methods to assess and compare proposals, it significantly eases verification of results, engagement with a diverse range of contributors, and progress. However, we have yet to fully achieve this; there are still many sociotechnical frictions.
Inspired by David Donoho's vision, this talk aims to revisit the three crucial pillars of frictionless reproducibility (data sharing, code sharing, and competitive challenges) with the perspective of deep software variability.
Our observation is that multiple layers — hardware, operating systems, third-party libraries, software versions, input data, compile-time options, and parameters — are subject to variability that exacerbates frictions but is also essential for achieving robust, generalizable results and fostering innovation. I will first review the literature, providing evidence of how the complex variability interactions across these layers affect qualitative and quantitative software properties, thereby complicating the reproduction and replication of scientific studies in various fields.
I will then present some software engineering and AI techniques that can support the strategic exploration of variability spaces. These include the use of abstractions and models (e.g., feature models), sampling strategies (e.g., uniform, random), cost-effective measurements (e.g., incremental build of software configurations), and dimensionality reduction methods (e.g., transfer learning, feature selection, software debloating).
I will finally argue that deep variability is both the problem and solution of frictionless reproducibility, calling the software science community to develop new methods and tools to manage variability and foster reproducibility in software systems.
Exposé invité Journées Nationales du GDR GPL 2024
Richard's aventures in two entangled wonderlandsRichard Gill
Since the loophole-free Bell experiments of 2020 and the Nobel prizes in physics of 2022, critics of Bell's work have retreated to the fortress of super-determinism. Now, super-determinism is a derogatory word - it just means "determinism". Palmer, Hance and Hossenfelder argue that quantum mechanics and determinism are not incompatible, using a sophisticated mathematical construction based on a subtle thinning of allowed states and measurements in quantum mechanics, such that what is left appears to make Bell's argument fail, without altering the empirical predictions of quantum mechanics. I think however that it is a smoke screen, and the slogan "lost in math" comes to my mind. I will discuss some other recent disproofs of Bell's theorem using the language of causality based on causal graphs. Causal thinking is also central to law and justice. I will mention surprising connections to my work on serial killer nurse cases, in particular the Dutch case of Lucia de Berk and the current UK case of Lucy Letby.
A Conceptual Building-Block and Practical OpenStreetMap-Interface for Sharing References to Hydrologic Features
1. W E R N E R L E Y H , B R A Z I L
H U M A N F A C T O R S ,
S U S T A I N A B L E U R B A N P L A N N I N G A N D I N F R A S T R U C T U R E ( S U P I )
S E S S I O N 2 2 0 ( S U P I / I ) , F R I D A Y , J U L Y 2 1 , 1 0 : 3 0 - 1 2 : 3 0 ,
L O S A N G E L E S , C A , U S A
h t t p : / / w w w . a h f e 2 0 1 7 . o r g / p r o g r a m 3 . h t m l
R e l a t e d w o r k a n d p u b l i c a t i o n :
h t t p s : / / w w w . s p r i n g e r p r o f e s s i o n a l . d e / a - c o n c e p t u a l - b u i l d i n g - b l o c k - a n d -
p r a c t i c a l - o p e n s t r e e t m a p - i n t e r f a c / 1 2 3 5 7 0 6 4
A CONCEPTUAL BUILDING-BLOCK AND
PRACTICAL OPENSTREETMAP-INTERFACE
FOR SHARING REFERENCES TO
HYDROLOGIC FEATURES
2. Overview: The great picture
Summarizing
Our
Contribution
To
SHARING REFERENCES
To
HYDROLOGIC FEATURES
3. Overview: The great picture – In 5W´s
What The overall envisioning objective is to enable the VIRTUAL
NAVIGATION between “COMPATIBLE” OBSERVATIONAL
DATASET on HYDROLOGICAL CONNECTIVITY.
Why One of the essential elements of life on this planet is freshwater. Sustainable
development with disaster preparedness therefore demands sustainable
management of the world’s limited freshwater resources. However, water
resources cannot be properly managed unless we know where they are, in
what quantity and quality, and how variable they are likely to be in the
foreseeable future.
How The technical framework of ENVIRONMENTAL DATA
AGGREGATION and UNIFIED DATA SHARING METHOD is
explored for distributed data integration with a (Linked Open Data) LOD-
enabled (Spatial Data Infrastructure) SDI-node.
When 2017
Where International
4. Overview: Outline and Content
Part 1: Motivation
Citizen Science (CS) in data driven surveys – Costs, problems and approaches
Part 2: Introduction
Context and Former work;
Part 3: Challenges
A standardized, semantic representation of the conceptual model “Hydrologic Cycle”
Part 4: Challenges
Facilitating the discovery of public datasets (Google)
Part 5: Contribution
Linking standardized hydrologic observations and features.
Part 6: Approach
System Architecture and Implementation
Part 7: Approach
Proof of Concept Implementation
Part 8: Results
Lifting Data to the Web of Data
Part 9: Conclusion
Summary
Annex
Context (Standardized Data Sharing in Hydrology)
5. Motivation: Citizen Science (CS) in data driven
surveys – Costs, problems and approaches
How can we improve
+ Scalability
+ Technology dependency
+ Volunteer management
+ Task complexity
+ Data quality
+ Sustainability:
How do
➢ organization and
➢ participation
influence
➢ scientific outcomes
in
➢ citizen science?
6. Introduction: Context and Former work
INTERESTED TO KNOW ABOUT BACKGROUND?
…and work published by other authors we are exploring in our present contribution ?
IN THE ANNEX WE ARE INTRODUCING
➢ The conceptional separation between physical and logical hydrological networks
➢ Hydrological features
PLEASE CONSIDER ALSO OUR MAIN REFERENCES:
Shina et al. https://link.springer.com/chapter/10.1007/978-3-319-11593-1_13
Varanka et al. www.cartogis.org/docs/proceedings/2016/Varanka_and_Cheatham.pdf
WMO www.gtn-h.info/wp-content/uploads/2015/10/GTNH-7_Report.pdf
WMO/UNESCO https://public.wmo.int/en/resources/library/international-glossary-hydrology-wmo-no-385
Atkinson et al. https://link.springer.com/chapter/10.1007/978-3-319-15994-2_11
W3C WG/11-05-17 https://www.w3.org/TR/sdw-bp/
Bressiani et al. https://ijabe.org/index.php/ijabe/article/view/1765
7. Challenges: A standardized, semantic representation
of the conceptual model “Hydrologic Cycle”
……. compatible with the terminology already endorsed by WMO and
UNSECO:
As it regards to interoperability of logical models in the field of hydrology,
a significant effort for a standardized, semantic representation is undertaken by the
World Meteorological Organization (WMO).
However, at present there is not yet an WMO, UNESCO and/or OGC standard
for this and its technology is not enough mature to use it at this moment.
Please compare:
WHO: www.gtn-h.info/wp-content/uploads/2015/10/GTNH-7_Report.pdf
8. Challenges:
Facilitating the discovery of public datasets (Google)
According to the authors , while Google has recently released guidelines on
publishing metadata (Last updated March 28, 2017, please compare:
https://research.googleblog.com/2017/01/facilitating-discovery-of-public.html)
➢ “many technical challenges remain before search for data becomes as
seamless as we feel it should be” (Sect. 1.3).
Interestingly, in the same report we can read regarding DCAT:
➢ “The structure is very close to that used in the W3C DCAT specification. We
expect to add a DCAT example in a future revision of these guidelines.”
➢ (The DCAT-Standard was developed by W3C and the European Union for
describing public sector datasets. Its basic use case is to enable cross-data
portal search for data sets and make public sector data better searchable
across borders and sectors.).
9. Contribution: Linking standardized hydrologic
observations and features.
➢ This paper describes approaches how observational datasets may be
linked to (and “contextualized” with) specific hydrological features.
➢ We show further how domain models can be used to standardize links
between different features.
➢ Authors use “standardized” terms directly as OSM-TAGS describing POIs
inserted by volunteer citizens to represent “Surface Water Features”
controlled by an abstract ontology.
➢ We use hereby standard W3C - vocabularies, including the DCAT, CSVW,
VoID, PROV, DQV and Schema.
10. Approach:
System Architecture and Implementation
➢ We use the DCAT vocabulary to describe the available datasets, groups of
datasets and catalogs.
➢ The interlinking is modelled by a linkset (void:Linkset) that describes
relationships between hydrological features and monitoring points,
described using WaterML2.0.
➢ A linkset in VoID is a subclass of a dataset, used for storing triples to express
the interlinking relationship between datasets.
➢ This modelling enables a flexible and powerful way to talk in great detail
about the interlinking between two datasets, such as how many links there
exist, which kind of links (e.g. owl:sameAs or foaf:knows) are present, or stating
who claims these statements.
➢ This provides the data backbone allowing navigation between specific
features (e.g. rivers) and observations (e.g. height, flows, water quality) (Please
compare https://link.springer.com/chapter/10.1007/978-3-319-15994-2_11).
11. Approach: Proof of concept
Fig. 1. Number of hospitals around the flooding area: where to get this information?
12. Approach: Proof of Concept Implementation
The proof of concept implementation of AGORA’s LOD-enabled SDI-Node as
practical use case and research platform (please compare:
http://www.preventionweb.net/files/45270_200.pdf)
The close cooperation with the National Centre for Monitoring and Warning
of Natural Disasters CEMADEN (http://www.cemaden.gov.br/):
This means our academic research work is inspired by practical real-life
challenges faced by CEMADEN in its daily work;
15. Conclusion:
Summary
The effective exchange of hydrologic data containing references to hydrologic, physical
features requires standardized semantics of the concepts that allow identification of
these features.
To this end, we implemented within the volunteered geographic information (VGI)
platform OpenStreetmap (OSM) an interface by using “standardized” terms directly as
OSM-TAGS describing POIs inserted by volunteer citizens to represent “Surface Water
Features” controlled by an abstract ontology of surface water features based only on
those physical properties of landscape features.
The interlinking is modelled by a linkset (void:Linkset) that describes relationships
between hydrological features and monitoring points. This modelling enables a flexible
and powerful way to talk in great detail about the interlinking between two datasets,
such as how many links there exist, which kind of links (e.g. owl:sameAs or foaf:knows)
are present, or stating who claims these statements.
This provides the data backbone allowing navigation between specific features (e.g.
rivers) and observations (e.g. height, flows, water quality).
16. Acknowledgments
This research has been supported by the Brazilian Capes Foundation
(Programa de Apoio ao Ensino e à Pesquisa Científica e Tecnológica em Desastres
Naturais, Pró-Alertas).
We also thank Microsoft Research for offering free access to cloud computing resources
based on the Microsoft AZURE framework for the present research project (Microsoft
Azure sponsorship for University of Sao Paulo till 2016/05/01).
17. Werner Leyh
h t t p s : / / w i k i . o s g e o . o r g / w i k i / U s e r : W e r n e r L e y h
Grupo de Pesquisa CNPq/USP
I N F R A E S T R U T U R A D E D A D O S E S P A C I A I S ( G E P I D E )
h t t p : / / d g p . c n p q . b r / b u s c a o p e r a c i o n a l / d e t a l h e g r u p o . j s p ? g r u p o =
0 0 6 7 1 0 7 H R Y 8 K T 0
Questions ?
Interested in linking Wikidata, Openstreetmap and
scientific Datasets?
Join us !
19. Introduction:
Data Vocabularies
➢ Vocabularies define the “concepts” and “relationships” (also referred to as “terms”
or “attributes”) used to describe and represent an area of interest.
➢ They are used to “classify” the terms that can be used in a “particular application”,
characterize “possible relationships”, and define “possible constraints” on using
those terms.
➢ Several near-synonyms for Vocabulary have been coined, for example, “onto-
logy”, “controlled Vocabulary”, “thesaurus”, “taxonomy”, “code list”, “semantic
network” (www.gtn-h.info/wp-content/uploads/2015/10/GTNH-7_Report.pdf).
➢ There is no strict division between the artifacts referred to by these names.
“Ontology tends however to denote the Vocabularies of classes and properties” that
structure the descriptions of resources in (linked) datasets.
➢ Ontologies are the “key building blocks” for inference techniques on the
“Semantic Web” (www.gtn-h.info/wp-content/uploads/2015/10/GTNH-
7_Report.pdf).
20. Introduction:
Standardized Data Sharing in Hydrology
➢ WMO Executive Council provides advice and assistance on technical aspects of
the implementation of the practice on the international exchange of hydrological data
and products.
➢ Hydrologic features are units of hydrologic information required to convey
identity of real-world water-objects through the data processing chain from
observation to water information and identified under the umbrella of the joint
WMO-UNESCO Glossary of Hydrology.
➢ A logical model is the representation of the managed water supply system
components and relations that acts as interface between the water manager and the
water management ontology.
➢ Any logical model has a correspondence to a physical model.
➢ A physical model is a collection of real elements that match a structure
consisting of a geographical positioning component and other associated information
(Please compare www.gtn-h.info/wp-content/uploads/2015/10/GTNH-7_Report.pdf).
21. Introduction: Linked Open Data (LOD)
➢ Many publishers and funding agencies nowadays require that scientists
make their research data available publicly: Access to this data is critical to
facilitating reproducibility of research results, enabling scientists to build
on others’ work, and providing data journalists easier access to information and its
provenance.
➢ Due to the volume of data repositories available on the Web, it can be
extremely difficult to determine not only where is the dataset that has the
information that you are looking for, but also the veracity or provenance of that
information.
➢ Google recently published new guidelines to help data providers
describe their datasets in a structured way, enabling Google and others to
link this structured metadata with information describing locations, scientific
publications, or even Knowledge Graph, facilitating data discovery for others
(please compare: https://research.googleblog.com/2017/01/facilitating-discovery-
of-public.html ).
22. Overview, context and definitions:
The broader objective
Opening Accessible and Comprehensive Environmental Risk Data - A General
Open Data Strategy.
In 2011, the European Commission published its Open Data Strategy
defining the following six barriers 14 for “open public data”:
I. lack of information that certain data actually exists and is available,
II. lack of clarity of which public authority holds the data,
III. lack of clarity about the terms of re-use,
IV. data made available in formats that are difficult or expensive to use,
complicated licensing procedures or prohibitive fees.