Ocean Data Interoperability Platform
A short presentation as a discussion starter. How might we implement Persistent Identifiers for the SKOS Concepts in hte NERC Vocabulary Server?
Semantically supporting data discovery, markup and aggregation in EMODnetAdam Leadbetter
1) The document discusses creating aggregated parameters and exposing the underlying semantic model for discoverability and interoperability across various ocean data projects.
2) It describes the process of semantically aggregating parameters which includes deciding on the aggregated parameter name and codes to include from the Parameter Usage Vocabulary.
3) Exposing the semantic relationships through RDF/XML drivers and keeping governance informed of changes will allow software to dynamically retrieve aggregated parameter definitions.
Lecture to the Ocean Teacher Global Academy course on Research Data Management in November 2015. Topics covered include the history of data formats in marine data management; introduction to the Semantic Web and Linked Data; current state of the art in Linked Ocean Data; and future research directions in Linked Data and Big Data combinations.
International Coastal Atlas Network and Web 3.0Adam Leadbetter
The document discusses the history of the World Wide Web and the concept of a semantic web. It then describes online controlled vocabularies, how they ensure consistent metadata and how concepts can be mapped between vocabularies. The document presents the ICAN use case of linking coastline metadata and how it was implemented using a standards-based approach and NETMAR technology to semantically link distributed catalogue services and definitions. The implementation is currently a demonstrator connecting Oregon and Irish metadata nodes.
The document discusses oceans of data and provides information about ocean data networks and centers like OceanNet, SeaDataNet, and IODE. It emphasizes the importance of serving datasets to users, properly citing datasets, and publishing datasets to make them accessible and usable by others. Contact information is provided for the author Adam Leadbetter from the British Oceanographic Data Centre.
A presentation to the Research Vessel Users Workshop at the Marine Institute, Ireland on 28th April 2016. Highlighting recent progress and future directions in managing data from the fleet.
Semantically supporting data discovery, markup and aggregation in EMODnetAdam Leadbetter
1) The document discusses creating aggregated parameters and exposing the underlying semantic model for discoverability and interoperability across various ocean data projects.
2) It describes the process of semantically aggregating parameters which includes deciding on the aggregated parameter name and codes to include from the Parameter Usage Vocabulary.
3) Exposing the semantic relationships through RDF/XML drivers and keeping governance informed of changes will allow software to dynamically retrieve aggregated parameter definitions.
Lecture to the Ocean Teacher Global Academy course on Research Data Management in November 2015. Topics covered include the history of data formats in marine data management; introduction to the Semantic Web and Linked Data; current state of the art in Linked Ocean Data; and future research directions in Linked Data and Big Data combinations.
International Coastal Atlas Network and Web 3.0Adam Leadbetter
The document discusses the history of the World Wide Web and the concept of a semantic web. It then describes online controlled vocabularies, how they ensure consistent metadata and how concepts can be mapped between vocabularies. The document presents the ICAN use case of linking coastline metadata and how it was implemented using a standards-based approach and NETMAR technology to semantically link distributed catalogue services and definitions. The implementation is currently a demonstrator connecting Oregon and Irish metadata nodes.
The document discusses oceans of data and provides information about ocean data networks and centers like OceanNet, SeaDataNet, and IODE. It emphasizes the importance of serving datasets to users, properly citing datasets, and publishing datasets to make them accessible and usable by others. Contact information is provided for the author Adam Leadbetter from the British Oceanographic Data Centre.
A presentation to the Research Vessel Users Workshop at the Marine Institute, Ireland on 28th April 2016. Highlighting recent progress and future directions in managing data from the fleet.
The document discusses linking oceanographic data on the web using semantic technologies. It introduces the concept of a "Linked Ocean Data Cloud" to make ocean data more accessible and usable by connecting related data from different sources. The author advocates for using common vocabularies and ontologies to describe ocean data to facilitate integration and discovery across datasets.
This document discusses linking oceanographic data on the web. It provides several examples of URLs and metadata for ocean data, instruments, and projects. It also lists the LinkedOceanData GitHub page, which aims to serve datasets and publish ocean data on the web for increased access and reuse. The author is identified as Adam Leadbetter from the British Oceanographic Data Centre.
This document provides an overview of controlled vocabularies and ontologies for marine environmental data. It discusses:
1) The history of controlled vocabularies in oceanography, including their initial publication as hard copies and CSV files and later improvements to content and technical governance through projects and committees.
2) Current use cases for controlled vocabularies, including metadata markup, drop-down lists, semantic crosswalks, and enabling semantic discovery and web processing services.
3) Recent developments including the design of an updated NERC Vocabulary Server that implements the latest SKOS standard and provides true thesauri, an improved RESTful API, and tools for concept visualization, search and editing.
Why quality control and quality assurance is important for the legacy of GEOT...Adam Leadbetter
The document discusses the importance of quality control and quality assurance for the GEOTRACES database. It notes that compatible data is key to building a comprehensive database that allows for merging of data from different sources and comparison of data over time. The GEOTRACES database aims to archive key trace element and isotope data along with supporting parameters. The 2014 version will include intercalibrated data that has passed review. Ensuring high quality data through standards, metadata and review is important for the long-term legacy and usability of the GEOTRACES database.
Vocabulary Services in EMODNet and SeaDataNetAdam Leadbetter
Presentation to the Climate Information Portal (CLIP-C) workshop on developing scientific data portals.
Covering why vocabularies; history of vocabularies in marine data management; overview of vocabulary usage in faceted search
We Have "Born Digital" - Now What About "Born Semantic"?Adam Leadbetter
The document discusses efforts to semantically annotate ocean observational data from the point of collection. This includes prototyping the annotation of SeaBird CTD data with RDFa and collaborating with sensor manufacturers to map file headers to SKOS concepts. The goal is to better describe and assess data quality for specific uses and enable (near) real-time linked data. Two approaches are outlined: building community semantics or reusing existing resources, with common ground being to embed semantics in OGC sensor web enablement documents.
Guus Schreiber gave a talk on knowledge engineering and the web. He discussed representing web data using standards like RDF and HTML5. He explained how categorization systems like SKOS, FOAF, and schema.org organize knowledge on the web. Schreiber also discussed aligning different category systems and using knowledge graphs for search and visualization, like locating artworks and finding relationships between artists. He emphasized modestly enriching and aligning existing vocabularies rather than creating new idiosyncratic ontologies.
This document provides an overview of taxonomy, ontology, folksonomies, and SKOS (Simple Knowledge Organization Systems). It defines each concept and provides examples. Taxonomy is described as a subject-based classification system. Ontology is defined as a formal specification of concepts and relationships. Folksonomies allow user-generated tagging. SKOS provides a standard for sharing and linking knowledge organization systems on the web. Bibliographies with relevant references are also included for each topic.
Joseph T. Tennis: Casting Our Eyes Over the Threads of the Cataloguer’s Work:...COST Action TD1210
Joseph T. Tennis (University of Washington, Seattle) “Casting Our Eyes Over the Threads of the Cataloguer’s Work: Population Perspective in Metadata Research”
Keynote at the KnoweScape workshop Evolution and variation of classification systems, March 4-5, 2015 Amsterdam
This document discusses object-oriented programming concepts like objects, encapsulation, inheritance, commonality and variability analysis, and abstract classes. It provides both traditional and broad views of these concepts. The broad view sees objects as entities with specific responsibilities or behaviors. Encapsulation can involve hiding any implementation details, not just data. Inheritance is best used to classify variations in behavior. Commonality analysis identifies shared elements while variability analysis identifies variations. Abstract classes represent commonality and concrete subclasses represent identified variations.
Competency: MedBiquitous and other ideasSimon Grant
MedBiquitous creates standards to advance healthcare education and competence assessment by making it easy to exchange educational content and track learner activities. Their standards aim to make healthcare education more effective, measurable and accessible. MedBiquitous' competency specifications split the competency "object" from the "framework" to enable reuse. The object definition includes identification data, category terms, references and descriptions. Frameworks organize related objects and can define relationships like broader/narrower. MedBiquitous is working to finalize the specifications and align with other initiatives.
This document provides an overview of research methods for narrative analysis. It discusses key concepts in narrative analysis including scripts, stories, patterns, themes, coding, and temporal organization. It also covers approaches like contextual analysis, focus groups, retelling narratives, and assumptions related to subjectivity and usefulness. Narrative analysis is presented as an exploratory qualitative methodology to give respondents a venue to articulate their own viewpoints and standards.
This document summarizes Christopher Hess's presentation on structured content and content modeling at World IA Day 2016 in Boise, Idaho. It discusses how structuring content into modular pieces with clear definitions and metadata allows content to be assembled in different ways for different contexts. It provides examples of how Healthwise structures their content into defined types like videos, tasks, and infoconcepts with standardized aspects that provide consistency and reusability. The document advocates that substance and structure are both important for creating modular, reusable content.
- The document discusses different approaches to defining word meaning, including lexicographic traditions of enumerating senses in dictionaries, ontological approaches using taxonomies of concepts, and distributional approaches using vector representations based on word context.
- It covers challenges with the traditional word sense disambiguation task, such as the skewed distribution of word senses and implicit disambiguation in context. Dimensionality reduction techniques and models like word2vec are discussed as distributional methods to learn word vectors from large corpora that capture semantic relationships.
The document provides information about conceptual frameworks including:
- It defines a conceptual framework as a graphical presentation showing the key components and relationships in a research study.
- It discusses different purposes of conceptual frameworks such as showing the organization of a study and clarifying relationships between variables.
- It provides examples of common conceptual framework models including input-process-output, independent-dependent variable, and criterion-predictor models.
DataScience Lab 2017_From bag of texts to bag of clusters_Терпиль Евгений / П...GeeksLab Odessa
From bag of texts to bag of clusters
Терпиль Евгений / Павел Худан (Data Scientists / NLP Engineer at YouScan)
Мы рассмотрим современные подходы к кластеризации текстов и их визуализации. Начиная от классического K-means на TF-IDF и заканчивая Deep Learning репрезентациями текстов. В качестве практического примера, мы проанализируем набор сообщений из соц. сетей и попробуем найти основные темы обсуждения.
Все материалы: http://datascience.in.ua/report2017
This chapter discusses complex cognitive processes like conceptual understanding, thinking and reasoning, problem solving, and transfer. It defines concepts and describes strategies for promoting concept formation like hierarchical categorization and concept maps. It also discusses different types of reasoning and thinking, including critical thinking and creative thinking. The chapter covers problem solving strategies and obstacles. Finally, it defines transfer as applying previous knowledge to new situations and describes different types of transfer.
This document outlines an agenda for a lesson planning workshop. It includes introductions, examining lesson plan templates, assessing lesson plan components, planning formative and summative assessments, implementing lessons, and reviewing next steps. Breakout sessions will cover examining rigor in lesson plans, identifying essential questions and big ideas, using Webb's Depth of Knowledge model, and checking work and reflecting on lessons. The goal is for teachers to develop a lesson plan template that is appropriate for their students and will last over time.
Fairport domain specific metadata using w3 c dcat & skos w ontology viewsTim Clark
FAIRPORT is an international project to develop a lightweight interoperability architecture for biomedical - and potentially other - data repositories.
This slide deck is a presentation to the FAIRPORT technical team. It describes a proposed model for supporting domain-specific search metadata using a common schema model across all repositories.
The proposal makes use of the following existing technologies, with minor extensions:
- the W3C DCAT model for dataset description
- the W3C SKOS knowledge organization system
- OWL2 Ontology Language
- Dublin Core Vocabulary
- NCBO Bioportal biomedical ontologies collection
The document discusses linking oceanographic data on the web using semantic technologies. It introduces the concept of a "Linked Ocean Data Cloud" to make ocean data more accessible and usable by connecting related data from different sources. The author advocates for using common vocabularies and ontologies to describe ocean data to facilitate integration and discovery across datasets.
This document discusses linking oceanographic data on the web. It provides several examples of URLs and metadata for ocean data, instruments, and projects. It also lists the LinkedOceanData GitHub page, which aims to serve datasets and publish ocean data on the web for increased access and reuse. The author is identified as Adam Leadbetter from the British Oceanographic Data Centre.
This document provides an overview of controlled vocabularies and ontologies for marine environmental data. It discusses:
1) The history of controlled vocabularies in oceanography, including their initial publication as hard copies and CSV files and later improvements to content and technical governance through projects and committees.
2) Current use cases for controlled vocabularies, including metadata markup, drop-down lists, semantic crosswalks, and enabling semantic discovery and web processing services.
3) Recent developments including the design of an updated NERC Vocabulary Server that implements the latest SKOS standard and provides true thesauri, an improved RESTful API, and tools for concept visualization, search and editing.
Why quality control and quality assurance is important for the legacy of GEOT...Adam Leadbetter
The document discusses the importance of quality control and quality assurance for the GEOTRACES database. It notes that compatible data is key to building a comprehensive database that allows for merging of data from different sources and comparison of data over time. The GEOTRACES database aims to archive key trace element and isotope data along with supporting parameters. The 2014 version will include intercalibrated data that has passed review. Ensuring high quality data through standards, metadata and review is important for the long-term legacy and usability of the GEOTRACES database.
Vocabulary Services in EMODNet and SeaDataNetAdam Leadbetter
Presentation to the Climate Information Portal (CLIP-C) workshop on developing scientific data portals.
Covering why vocabularies; history of vocabularies in marine data management; overview of vocabulary usage in faceted search
We Have "Born Digital" - Now What About "Born Semantic"?Adam Leadbetter
The document discusses efforts to semantically annotate ocean observational data from the point of collection. This includes prototyping the annotation of SeaBird CTD data with RDFa and collaborating with sensor manufacturers to map file headers to SKOS concepts. The goal is to better describe and assess data quality for specific uses and enable (near) real-time linked data. Two approaches are outlined: building community semantics or reusing existing resources, with common ground being to embed semantics in OGC sensor web enablement documents.
Guus Schreiber gave a talk on knowledge engineering and the web. He discussed representing web data using standards like RDF and HTML5. He explained how categorization systems like SKOS, FOAF, and schema.org organize knowledge on the web. Schreiber also discussed aligning different category systems and using knowledge graphs for search and visualization, like locating artworks and finding relationships between artists. He emphasized modestly enriching and aligning existing vocabularies rather than creating new idiosyncratic ontologies.
This document provides an overview of taxonomy, ontology, folksonomies, and SKOS (Simple Knowledge Organization Systems). It defines each concept and provides examples. Taxonomy is described as a subject-based classification system. Ontology is defined as a formal specification of concepts and relationships. Folksonomies allow user-generated tagging. SKOS provides a standard for sharing and linking knowledge organization systems on the web. Bibliographies with relevant references are also included for each topic.
Joseph T. Tennis: Casting Our Eyes Over the Threads of the Cataloguer’s Work:...COST Action TD1210
Joseph T. Tennis (University of Washington, Seattle) “Casting Our Eyes Over the Threads of the Cataloguer’s Work: Population Perspective in Metadata Research”
Keynote at the KnoweScape workshop Evolution and variation of classification systems, March 4-5, 2015 Amsterdam
This document discusses object-oriented programming concepts like objects, encapsulation, inheritance, commonality and variability analysis, and abstract classes. It provides both traditional and broad views of these concepts. The broad view sees objects as entities with specific responsibilities or behaviors. Encapsulation can involve hiding any implementation details, not just data. Inheritance is best used to classify variations in behavior. Commonality analysis identifies shared elements while variability analysis identifies variations. Abstract classes represent commonality and concrete subclasses represent identified variations.
Competency: MedBiquitous and other ideasSimon Grant
MedBiquitous creates standards to advance healthcare education and competence assessment by making it easy to exchange educational content and track learner activities. Their standards aim to make healthcare education more effective, measurable and accessible. MedBiquitous' competency specifications split the competency "object" from the "framework" to enable reuse. The object definition includes identification data, category terms, references and descriptions. Frameworks organize related objects and can define relationships like broader/narrower. MedBiquitous is working to finalize the specifications and align with other initiatives.
This document provides an overview of research methods for narrative analysis. It discusses key concepts in narrative analysis including scripts, stories, patterns, themes, coding, and temporal organization. It also covers approaches like contextual analysis, focus groups, retelling narratives, and assumptions related to subjectivity and usefulness. Narrative analysis is presented as an exploratory qualitative methodology to give respondents a venue to articulate their own viewpoints and standards.
This document summarizes Christopher Hess's presentation on structured content and content modeling at World IA Day 2016 in Boise, Idaho. It discusses how structuring content into modular pieces with clear definitions and metadata allows content to be assembled in different ways for different contexts. It provides examples of how Healthwise structures their content into defined types like videos, tasks, and infoconcepts with standardized aspects that provide consistency and reusability. The document advocates that substance and structure are both important for creating modular, reusable content.
- The document discusses different approaches to defining word meaning, including lexicographic traditions of enumerating senses in dictionaries, ontological approaches using taxonomies of concepts, and distributional approaches using vector representations based on word context.
- It covers challenges with the traditional word sense disambiguation task, such as the skewed distribution of word senses and implicit disambiguation in context. Dimensionality reduction techniques and models like word2vec are discussed as distributional methods to learn word vectors from large corpora that capture semantic relationships.
The document provides information about conceptual frameworks including:
- It defines a conceptual framework as a graphical presentation showing the key components and relationships in a research study.
- It discusses different purposes of conceptual frameworks such as showing the organization of a study and clarifying relationships between variables.
- It provides examples of common conceptual framework models including input-process-output, independent-dependent variable, and criterion-predictor models.
DataScience Lab 2017_From bag of texts to bag of clusters_Терпиль Евгений / П...GeeksLab Odessa
From bag of texts to bag of clusters
Терпиль Евгений / Павел Худан (Data Scientists / NLP Engineer at YouScan)
Мы рассмотрим современные подходы к кластеризации текстов и их визуализации. Начиная от классического K-means на TF-IDF и заканчивая Deep Learning репрезентациями текстов. В качестве практического примера, мы проанализируем набор сообщений из соц. сетей и попробуем найти основные темы обсуждения.
Все материалы: http://datascience.in.ua/report2017
This chapter discusses complex cognitive processes like conceptual understanding, thinking and reasoning, problem solving, and transfer. It defines concepts and describes strategies for promoting concept formation like hierarchical categorization and concept maps. It also discusses different types of reasoning and thinking, including critical thinking and creative thinking. The chapter covers problem solving strategies and obstacles. Finally, it defines transfer as applying previous knowledge to new situations and describes different types of transfer.
This document outlines an agenda for a lesson planning workshop. It includes introductions, examining lesson plan templates, assessing lesson plan components, planning formative and summative assessments, implementing lessons, and reviewing next steps. Breakout sessions will cover examining rigor in lesson plans, identifying essential questions and big ideas, using Webb's Depth of Knowledge model, and checking work and reflecting on lessons. The goal is for teachers to develop a lesson plan template that is appropriate for their students and will last over time.
Fairport domain specific metadata using w3 c dcat & skos w ontology viewsTim Clark
FAIRPORT is an international project to develop a lightweight interoperability architecture for biomedical - and potentially other - data repositories.
This slide deck is a presentation to the FAIRPORT technical team. It describes a proposed model for supporting domain-specific search metadata using a common schema model across all repositories.
The proposal makes use of the following existing technologies, with minor extensions:
- the W3C DCAT model for dataset description
- the W3C SKOS knowledge organization system
- OWL2 Ontology Language
- Dublin Core Vocabulary
- NCBO Bioportal biomedical ontologies collection
Differentiation is a proactive decision-making process that considers critical student learning differences and the curriculum. Teachers use formative assessment data, research-based strategies, and a positive learning environment to make differentiation decisions. This may involve modifying aspects of the curriculum like content, process, product, or the learning environment. Common differentiation strategies include tiering instruction, choice/alternatives, and flexible grouping.
The document discusses using SKOS (Simple Knowledge Organization System) vocabularies to improve web search through term expansion. It provides an overview of SKOS and examples of how SKOS concepts and relationships can be used to expand query terms. The authors describe their implementation of SKOS-based term expansion in the Lucene search engine and evaluate its effectiveness on two datasets compared to baselines. Their results show that SKOS expansion improves precision and nDCG, particularly at early ranks, for queries over biomedical and library metadata.
Open coding training in qualitative researchDenford G
1. The document discusses open coding in qualitative research, which is an inductive approach where codes emerge from the data rather than being predefined.
2. Open coding involves initially breaking down data line-by-line and assigning codes to summarize concepts, which can then be sorted into categories or themes through further analysis.
3. The open coding process typically involves an initial read-through of transcripts followed by multiple coders open coding a sample of transcripts to build an initial codebook, which is then tested and modified on additional transcripts through an iterative process.
This document discusses content analysis as a qualitative data analysis technique. It begins by defining content analysis as a method to systematically reduce and categorize textual data to identify patterns and relationships. The document then outlines the coding process, describing codes as labels assigned to segments of text that are then grouped into categories. It provides examples of different types of codes and discusses hierarchical coding structures. Steps in the content analysis process are also outlined, from defining research questions to data analysis and interpretation. Issues of reliability in content analysis are raised at the end.
The document discusses sharing educational resources and learning objects openly on the internet. It proposes representing instructional design methods and theories using ontologies to allow searching for and comparing learning designs based on the instructional approaches used. Recording more details about learning designs could help link theoretical approaches to practical outcomes, inform future design work, and enable more rigorous comparisons between different instructional techniques. Representing instructional design processes formally may help move the field towards more data-driven, evidence-based practices.
Knowledge engineering is the process of building a knowledge base by extracting knowledge from human experts. It involves knowledge acquisition, choosing a knowledge representation formalism, and selecting reasoning and problem-solving strategies. The knowledge engineer determines important concepts and relations in a domain and creates a formal representation. The main tasks of knowledge engineering are knowledge acquisition through interviewing experts and knowledge representation using techniques like logic for knowledge representation and reasoning. An effective knowledge base should be clear, correct, expressive, concise, context-insensitive, and effective.
Similar to Ocean Data Interoperability Platform - Vocabularies: DOIs for NVS Controlled Vocabularies (20)
This document discusses using Schema.org to describe marine data and link ocean data on the web. It provides background on linked data and Schema.org. It describes work done by various organizations to apply Schema.org to describe datasets, organizations, projects, and other marine data. This includes developing schemas and cataloging various types of marine data. Future work is discussed, such as supporting tabular data and linking to other vocabularies for different data types.
Using Erddap as a building block in Ireland's Integrated Digital OceanAdam Leadbetter
The document discusses using Erddap as part of Ireland's Integrated Digital Ocean platform. Erddap is used to aggregate data from various sources and provide it to users through standardized APIs and web interfaces. This allows diverse data and applications to interoperate through common access points and data flows, minimizing the distances between different technologies and systems. The Marine Institute of Ireland has implemented this approach to integrate ocean observation data and provide open access through their Digital Ocean portal.
Where Linked Data meets Big Data: Applying standard data models to environmen...Adam Leadbetter
This document discusses applying standard data models to environmental data streams from ocean observations. It presents examples of encoding oceanographic observation data using semantic web standards like the W3C Observation and Measurement ontology. These approaches aim to integrate live sensor data with linked open data to support interoperability across scientific domains.
A lecture to the National University of Ireland, Galway honours year and masters students in oceanography (14th November 2016) on the basics of marine data management.
Linked Ocean Data - Exploring connections between marine datasets in a Big Da...Adam Leadbetter
Adam Leadbetter works for the Marine Institute in Ireland and is interested in data management, oceanography, and long-distance running. The document provides his contact information and describes his interests using RDF triples. It also includes several links to resources about ocean data, sensors, observations, and semantic web standards for observational data.
Adam Leadbetter is an expert in data management, oceanography, and long-distance running who works for the Marine Institute in Ireland. He is interested in connecting ocean data and emerging technologies to advance oceanography.
Let's talk about data: Citation and publicationAdam Leadbetter
This document discusses citation and publication of data from various marine research organizations. It provides links to sites hosting Irish marine data and research on data infrastructure. It addresses issues like making data openly accessible, ensuring catalogue entries are citable, and having organizational policies for persistent storage. The document asks for questions and lists upcoming workshops to further discuss working with marine research data.
A 5-minute lightning talk at the 2015 INFOMAR seminar, highlighting the concept and public demonstrator for Ireland's Digital Ocean concept: moving beyond data cataloguing to a coherent platform for exploring marine data and information.
Ocean Data Interoperability Platform - Big Data - Streams & WorkflowsAdam Leadbetter
This document summarizes differences between 20th century and 21st century data processing approaches. In the 20th century, single machines were used for one-to-one communication with fixed schemas and encodings, while the 21st century utilizes distributed processing with publish-subscribe patterns, replication for fault tolerance, and schema management with evolvable encodings. It also lists further work such as investigating architectures for reprocessing historic data, incorporating standards like Sensor Web Enablement and OM-JSON, deploying to mobile/remote platforms, and investigating Apache NiFi.
Where did my layer come from? The semantics of data releaseAdam Leadbetter
This document discusses the semantics of spatial data release and provenance metadata. It introduces Adam Leadbetter from the Marine Institute and provides several relevant links on topics like linked data, the PROV ontology, and information on data publication and citation. Several citations and the author's contact details are also included.
British Oceanographic Data Centre's Published Data LibraryAdam Leadbetter
The document outlines the objectives, design, and current status of the Published Data Library (PDL) system. The objectives are to deliver meaningful and discoverable data collections that are fixed, usable without additional context, and assured to be available long-term. The design assigns DOIs to datasets through DataCite, with DOIs resolving to HTML landing pages containing metadata and links to usage metadata and data. Currently, descriptive pages and an 8-dataset DOI catalogue are live, along with some DOI landing pages containing human and machine-readable metadata in HTML and RDFa formats. Future work includes developing a database backend and linking to other data repositories.
ESA/ACT Science Coffee: Diego Blas - Gravitational wave detection with orbita...Advanced-Concepts-Team
Presentation in the Science Coffee of the Advanced Concepts Team of the European Space Agency on the 07.06.2024.
Speaker: Diego Blas (IFAE/ICREA)
Title: Gravitational wave detection with orbital motion of Moon and artificial
Abstract:
In this talk I will describe some recent ideas to find gravitational waves from supermassive black holes or of primordial origin by studying their secular effect on the orbital motion of the Moon or satellites that are laser ranged.
Candidate young stellar objects in the S-cluster: Kinematic analysis of a sub...Sérgio Sacani
Context. The observation of several L-band emission sources in the S cluster has led to a rich discussion of their nature. However, a definitive answer to the classification of the dusty objects requires an explanation for the detection of compact Doppler-shifted Brγ emission. The ionized hydrogen in combination with the observation of mid-infrared L-band continuum emission suggests that most of these sources are embedded in a dusty envelope. These embedded sources are part of the S-cluster, and their relationship to the S-stars is still under debate. To date, the question of the origin of these two populations has been vague, although all explanations favor migration processes for the individual cluster members. Aims. This work revisits the S-cluster and its dusty members orbiting the supermassive black hole SgrA* on bound Keplerian orbits from a kinematic perspective. The aim is to explore the Keplerian parameters for patterns that might imply a nonrandom distribution of the sample. Additionally, various analytical aspects are considered to address the nature of the dusty sources. Methods. Based on the photometric analysis, we estimated the individual H−K and K−L colors for the source sample and compared the results to known cluster members. The classification revealed a noticeable contrast between the S-stars and the dusty sources. To fit the flux-density distribution, we utilized the radiative transfer code HYPERION and implemented a young stellar object Class I model. We obtained the position angle from the Keplerian fit results; additionally, we analyzed the distribution of the inclinations and the longitudes of the ascending node. Results. The colors of the dusty sources suggest a stellar nature consistent with the spectral energy distribution in the near and midinfrared domains. Furthermore, the evaporation timescales of dusty and gaseous clumps in the vicinity of SgrA* are much shorter ( 2yr) than the epochs covered by the observations (≈15yr). In addition to the strong evidence for the stellar classification of the D-sources, we also find a clear disk-like pattern following the arrangements of S-stars proposed in the literature. Furthermore, we find a global intrinsic inclination for all dusty sources of 60 ± 20◦, implying a common formation process. Conclusions. The pattern of the dusty sources manifested in the distribution of the position angles, inclinations, and longitudes of the ascending node strongly suggests two different scenarios: the main-sequence stars and the dusty stellar S-cluster sources share a common formation history or migrated with a similar formation channel in the vicinity of SgrA*. Alternatively, the gravitational influence of SgrA* in combination with a massive perturber, such as a putative intermediate mass black hole in the IRS 13 cluster, forces the dusty objects and S-stars to follow a particular orbital arrangement. Key words. stars: black holes– stars: formation– Galaxy: center– galaxies: star formation
JAMES WEBB STUDY THE MASSIVE BLACK HOLE SEEDSSérgio Sacani
The pathway(s) to seeding the massive black holes (MBHs) that exist at the heart of galaxies in the present and distant Universe remains an unsolved problem. Here we categorise, describe and quantitatively discuss the formation pathways of both light and heavy seeds. We emphasise that the most recent computational models suggest that rather than a bimodal-like mass spectrum between light and heavy seeds with light at one end and heavy at the other that instead a continuum exists. Light seeds being more ubiquitous and the heavier seeds becoming less and less abundant due the rarer environmental conditions required for their formation. We therefore examine the different mechanisms that give rise to different seed mass spectrums. We show how and why the mechanisms that produce the heaviest seeds are also among the rarest events in the Universe and are hence extremely unlikely to be the seeds for the vast majority of the MBH population. We quantify, within the limits of the current large uncertainties in the seeding processes, the expected number densities of the seed mass spectrum. We argue that light seeds must be at least 103 to 105 times more numerous than heavy seeds to explain the MBH population as a whole. Based on our current understanding of the seed population this makes heavy seeds (Mseed > 103 M⊙) a significantly more likely pathway given that heavy seeds have an abundance pattern than is close to and likely in excess of 10−4 compared to light seeds. Finally, we examine the current state-of-the-art in numerical calculations and recent observations and plot a path forward for near-future advances in both domains.
The cost of acquiring information by natural selectionCarl Bergstrom
This is a short talk that I gave at the Banff International Research Station workshop on Modeling and Theory in Population Biology. The idea is to try to understand how the burden of natural selection relates to the amount of information that selection puts into the genome.
It's based on the first part of this research paper:
The cost of information acquisition by natural selection
Ryan Seamus McGee, Olivia Kosterlitz, Artem Kaznatcheev, Benjamin Kerr, Carl T. Bergstrom
bioRxiv 2022.07.02.498577; doi: https://doi.org/10.1101/2022.07.02.498577
PPT on Direct Seeded Rice presented at the three-day 'Training and Validation Workshop on Modules of Climate Smart Agriculture (CSA) Technologies in South Asia' workshop on April 22, 2024.
PPT on Sustainable Land Management presented at the three-day 'Training and Validation Workshop on Modules of Climate Smart Agriculture (CSA) Technologies in South Asia' workshop on April 22, 2024.
Authoring a personal GPT for your research and practice: How we created the Q...Leonel Morgado
Thematic analysis in qualitative research is a time-consuming and systematic task, typically done using teams. Team members must ground their activities on common understandings of the major concepts underlying the thematic analysis, and define criteria for its development. However, conceptual misunderstandings, equivocations, and lack of adherence to criteria are challenges to the quality and speed of this process. Given the distributed and uncertain nature of this process, we wondered if the tasks in thematic analysis could be supported by readily available artificial intelligence chatbots. Our early efforts point to potential benefits: not just saving time in the coding process but better adherence to criteria and grounding, by increasing triangulation between humans and artificial intelligence. This tutorial will provide a description and demonstration of the process we followed, as two academic researchers, to develop a custom ChatGPT to assist with qualitative coding in the thematic data analysis process of immersive learning accounts in a survey of the academic literature: QUAL-E Immersive Learning Thematic Analysis Helper. In the hands-on time, participants will try out QUAL-E and develop their ideas for their own qualitative coding ChatGPT. Participants that have the paid ChatGPT Plus subscription can create a draft of their assistants. The organizers will provide course materials and slide deck that participants will be able to utilize to continue development of their custom GPT. The paid subscription to ChatGPT Plus is not required to participate in this workshop, just for trying out personal GPTs during it.
Evidence of Jet Activity from the Secondary Black Hole in the OJ 287 Binary S...Sérgio Sacani
Wereport the study of a huge optical intraday flare on 2021 November 12 at 2 a.m. UT in the blazar OJ287. In the binary black hole model, it is associated with an impact of the secondary black hole on the accretion disk of the primary. Our multifrequency observing campaign was set up to search for such a signature of the impact based on a prediction made 8 yr earlier. The first I-band results of the flare have already been reported by Kishore et al. (2024). Here we combine these data with our monitoring in the R-band. There is a big change in the R–I spectral index by 1.0 ±0.1 between the normal background and the flare, suggesting a new component of radiation. The polarization variation during the rise of the flare suggests the same. The limits on the source size place it most reasonably in the jet of the secondary BH. We then ask why we have not seen this phenomenon before. We show that OJ287 was never before observed with sufficient sensitivity on the night when the flare should have happened according to the binary model. We also study the probability that this flare is just an oversized example of intraday variability using the Krakow data set of intense monitoring between 2015 and 2023. We find that the occurrence of a flare of this size and rapidity is unlikely. In machine-readable Tables 1 and 2, we give the full orbit-linked historical light curve of OJ287 as well as the dense monitoring sample of Krakow.
CLASS 12th CHEMISTRY SOLID STATE ppt (Animated)eitps1506
Description:
Dive into the fascinating realm of solid-state physics with our meticulously crafted online PowerPoint presentation. This immersive educational resource offers a comprehensive exploration of the fundamental concepts, theories, and applications within the realm of solid-state physics.
From crystalline structures to semiconductor devices, this presentation delves into the intricate principles governing the behavior of solids, providing clear explanations and illustrative examples to enhance understanding. Whether you're a student delving into the subject for the first time or a seasoned researcher seeking to deepen your knowledge, our presentation offers valuable insights and in-depth analyses to cater to various levels of expertise.
Key topics covered include:
Crystal Structures: Unravel the mysteries of crystalline arrangements and their significance in determining material properties.
Band Theory: Explore the electronic band structure of solids and understand how it influences their conductive properties.
Semiconductor Physics: Delve into the behavior of semiconductors, including doping, carrier transport, and device applications.
Magnetic Properties: Investigate the magnetic behavior of solids, including ferromagnetism, antiferromagnetism, and ferrimagnetism.
Optical Properties: Examine the interaction of light with solids, including absorption, reflection, and transmission phenomena.
With visually engaging slides, informative content, and interactive elements, our online PowerPoint presentation serves as a valuable resource for students, educators, and enthusiasts alike, facilitating a deeper understanding of the captivating world of solid-state physics. Explore the intricacies of solid-state materials and unlock the secrets behind their remarkable properties with our comprehensive presentation.
Ocean Data Interoperability Platform - Vocabularies: DOIs for NVS Controlled Vocabularies
1. DOIs for NVS Controlled Vocabularies?
Adam Leadbetter
adam.leadbetter@marine.ie
2. Why?
• Because Bob asked…
• Gold standard of persistent identifiers is that the resolver
system is separate from the id (Jens Klump’s EGU session)
• Protection against any possible namespace change
• Any change to access protocols can be mitigated
• DOI or handle?
3. What sort of DOI?
A SKOS concept can be viewed as an
idea or notion; a unit of thought.
However, what constitutes a unit of
thought is subjective, and this
definition is meant to be suggestive,
rather than restrictive.
4. What sort of DOI?
SKOS concept collections are labelled
and/or ordered groups of SKOS concepts.
Collections are useful where a group of
concepts shares something in common, and
it is convenient to group them under a
common label, or where some concepts can
be placed in a meaningful order.
A SKOS concept can be viewed as an
idea or notion; a unit of thought.
However, what constitutes a unit of
thought is subjective, and this
definition is meant to be suggestive,
rather than restrictive.
5. What sort of DOI?
An abstract, conceptual, graphical,
mathematical or visualization model that
represents empirical objects, phenomena, or
physical processes.
Modelled descriptions of, for example,
different aspects of languages or a
molecular biology reaction chain.
SKOS concept collections are labelled
and/or ordered groups of SKOS concepts.
Collections are useful where a group of
concepts shares something in common, and
it is convenient to group them under a
common label, or where some concepts can
be placed in a meaningful order.
A SKOS concept can be viewed as an
idea or notion; a unit of thought.
However, what constitutes a unit of
thought is subjective, and this
definition is meant to be suggestive,
rather than restrictive.
6. Things to note
• Metadata updates in the NVS SKOS Concepts don’t change
the philosophical “concept” being described
• No deletion in the NVS – only deprecation
• i.e. The NVS dataset can grow – under a strict interpretation
the dataset doesn’t really change