The document discusses master data management in the city of Gothenburg. It describes challenges around managing structured and unstructured data from multiple systems. It then demonstrates a pilot project that uses semantic standards, models and open vocabularies to link and query master data. Entities like people, organizations, locations and services are modeled. The pilot shows how data can be accessed through a SPARQL endpoint or API to enable interoperability.
Data integration, data interoperation and data quality are major challenges that continue to haunt enterprises. Every enterprise either by choice or by chance has created massive silos of data in different formats, with duplications and quality issues.
Knowledge graphs have proven to be a viable solution to address the integration and interoperation problem. Semantic technologies in particular provide an intelligent way of creating an abstract layer for the enterprise data model and mapping of siloed data to that model, allowing a smooth integration and a common view of the data.
Technologies like OWL (Web Ontology Language) and RDF (Resource Description Framework) are the back bone of semantics for knowledge graph implementation. Enterprises use OWL to build an ontology model to create a common definition for concepts and how they are connected to each other in their specific domain.
They then use RDF to create a triple format representation of their data by mapping it to the Ontology. This approach makes their data smart and machine understandable.
But how can enterprises control and validate the quality of this mapped data? Furthermore, how can they use this one abstract representation of data to meet all their different business requirements? Different departments, different LoBs and different business branches all have their own data needs, creating a new challenge to be tackled by the enterprise.
In this talk we will look at how the power of SHACL (SHAPES and Constraints Language), a W3C standard for defining constraint sets over data; complements the two core semantic technologies OWL and RDF. What are the similarities, the overlaps and the differences.
We will talk about how SHACL gives enterprises the power to reuse, customize and validate their data for various scenarios, uses cases and business requirements; making the application of semantics even more practical.
Explicit Semantics in Graph DBs Driving Digital Transformation With Neo4jConnected Data World
Dr. Jesús Barrasa's slides from his talk at Connected Data London. Jesús, who is a senior field engineer at Neo4j presented how semantic web principles can be used in a graph database.
Analytics on Big Knowledge Graphs Deliver Entity Awareness and Help Data LinkingOntotext
A presentation of Ontotext’s CEO Atanas Kiryakov, given during Semantics 2018 - an annual conference that brings together researchers and professionals from all over the world to share knowledge and expertise on semantic computing.
Semantic Variation Graphs the case for RDF & SPARQLJerven Bolleman
Presentation given to the GA4GH dataworking group. It starts with an introduction to what RDF is followed by how one can model genomic variation graphs in RDF. Then we show how one can use SPARQL to query this data.
Data integration, data interoperation and data quality are major challenges that continue to haunt enterprises. Every enterprise either by choice or by chance has created massive silos of data in different formats, with duplications and quality issues.
Knowledge graphs have proven to be a viable solution to address the integration and interoperation problem. Semantic technologies in particular provide an intelligent way of creating an abstract layer for the enterprise data model and mapping of siloed data to that model, allowing a smooth integration and a common view of the data.
Technologies like OWL (Web Ontology Language) and RDF (Resource Description Framework) are the back bone of semantics for knowledge graph implementation. Enterprises use OWL to build an ontology model to create a common definition for concepts and how they are connected to each other in their specific domain.
They then use RDF to create a triple format representation of their data by mapping it to the Ontology. This approach makes their data smart and machine understandable.
But how can enterprises control and validate the quality of this mapped data? Furthermore, how can they use this one abstract representation of data to meet all their different business requirements? Different departments, different LoBs and different business branches all have their own data needs, creating a new challenge to be tackled by the enterprise.
In this talk we will look at how the power of SHACL (SHAPES and Constraints Language), a W3C standard for defining constraint sets over data; complements the two core semantic technologies OWL and RDF. What are the similarities, the overlaps and the differences.
We will talk about how SHACL gives enterprises the power to reuse, customize and validate their data for various scenarios, uses cases and business requirements; making the application of semantics even more practical.
Explicit Semantics in Graph DBs Driving Digital Transformation With Neo4jConnected Data World
Dr. Jesús Barrasa's slides from his talk at Connected Data London. Jesús, who is a senior field engineer at Neo4j presented how semantic web principles can be used in a graph database.
Analytics on Big Knowledge Graphs Deliver Entity Awareness and Help Data LinkingOntotext
A presentation of Ontotext’s CEO Atanas Kiryakov, given during Semantics 2018 - an annual conference that brings together researchers and professionals from all over the world to share knowledge and expertise on semantic computing.
Semantic Variation Graphs the case for RDF & SPARQLJerven Bolleman
Presentation given to the GA4GH dataworking group. It starts with an introduction to what RDF is followed by how one can model genomic variation graphs in RDF. Then we show how one can use SPARQL to query this data.
Property graph vs. RDF Triplestore comparison in 2020Ontotext
This presentation goes all the way from intro "what graph databases are" to table comparing the RDF vs. PG plus two different diagrams presenting the market circa 2020
OrientDB: Unlock the Value of Document Data RelationshipsFabrizio Fortino
a) A general introduction of graph databases and OrientDB,
b) Why connected data has more value than just data,
c)How to "have fun" with OrientDB combining documents with graphs via SQL,
d) A use case on how OrientDB has helped to raise standards in Irish Public Office.
On OrientDB: NOSQL document databases provide an elegant way to deal with data in different shapes enabling developers to create better and faster products quickly. The main goal of these systems is to find the most efficient solution to manage data itself. With the Big Data Explosion we need to deal with a myriad of highly interconnected information. The challenge now is not only on how to store data but on how to manage, analyse, traverse and use your data within the context of relationships. Graph databases shine at maintaining highly connected data and is the fastest growing category in database management systems: 2014 registered an increase of 250% in terms of adoption and Forrester Research predicts that more than a quarter of enterprises will be using graphs by 2017. OrientDB combines more than one NOSQL model offering the unique flexibility of modelling data in the form of either documents, or graphs, while incorporating object oriented programming as a way of encapsulating relationships.
Reasoning with Big Knowledge Graphs: Choices, Pitfalls and Proven RecipesOntotext
This presentation will provide a brief introduction to logical reasoning and overview of the most popular semantic schema and ontology languages: RDFS and the profiles of OWL 2.
While automatic reasoning has always inspired the imagination, numerous projects have failed to deliver to the promises. The typical pitfalls related to ontologies and symbolic reasoning fall into two categories:
- Over-engineered ontologies. The selected ontology language and modeling patterns can be too expressive. This can make the results of inference hard to understand and verify, which in its turn makes KG hard to evolve and maintain. It can also impose performance penalties far greater than the benefits.
- Inappropriate reasoning support. There are many inference algorithms and implementation approaches, which work well with taxonomies and conceptual models of few thousands of concepts, but cannot cope with KG of millions of entities.
- Inappropriate data layer architecture. One such example is reasoning with virtual KG, which is often infeasible.
The Bounties of Semantic Data Integration for the Enterprise Ontotext
If you are looking for solutions that allow you not only to manage all of your data (structured, semi-structured and unstructured) but to also make the most out of them, using a common language is critical.
Adding Semantic Technology to data integration is the glue that holds together all your enterprise data and their relationships in a meaningful way.
Learn how you can quickly design data processing jobs and integrate massive amounts of data and see what semantic integration can do for your data and your business.
www.ontotext.com
[Conference] Cognitive Graph Analytics on Company Data and NewsOntotext
Atanas Kiryakov, Ontotext's CEO, presented at the Data Day Texas 2018 conference, which took place in Austin, TX, USA, on January 27th.
Ontotext's talk was part of the Graph Day Sessions and its focus was 'Cognitive graph analytics on company data and news', aiming to demonstrate the power of Graph Analytics to create links between various datasets and lead to knowledge discovery.
[Webinar] FactForge Debuts: Trump World Data and Instant Ranking of Industry ...Ontotext
This webinar continues series are demonstrating how linked open data and semantic tagging of news can be used for comprehensive media monitoring, market and business intelligence. The platform for the demonstrations is FactForge: a hub for news and data about people, organizations, and locations (POL). FactForge embodies a big knowledge graph (BKG) of more than 1 billion facts that allows various analytical queries, including tracing suspicious patterns of company control; media monitoring of people, including companies owned by them, their subsidiaries, etc.
The Power of Semantic Technologies to Explore Linked Open DataOntotext
Atanas Kiryakov's, Ontotext’s CEO, presentation at the first edition of Graphorum (http://graphorum2017.dataversity.net/) – a new forum that taps into the growing interest in Graph Databases and Technologies. Graphorum is co-located with the Smart Data Conference, organized by the digital publishing platform Dataversity.
The presentation demonstrates the capabilities of Ontotext’s own approach to contributing to the discipline of more intelligent information gathering and analysis by:
- graphically explorinh the connectivity patterns in big datasets;
- building new links between identical entities residing in different data silos;
- getting insights of what type of queries can be run against various linked data sets;
- reliably filtering information based on relationships, e.g., between people and organizations, in the news;
- demonstrating the conversion of tabular data into RDF.
Learn more at http://ontotext.com/.
Open standards for linked organisations | meeting Estonia - Flemish Governmen...Raf Buyle
The Flemish Government in Belgium has an interoperability program called Open Standards for Linked Organizations (OSLO), which focuses on both technical and semantical interoperability of data and systems used for (digital) government service delivery.
On the semantical level, information is aligned with European standards (ISA² Core Vocabularies and INSPIRE), enriched by data extensions to comply with the local context. On the technical level, we developed RESTFul APIs which build upon the principles of Linked Data.
The API conforms to the Flemish URI standard1, describing how data resources can be exposed using persistent and “cool” URIs2, in line with international best practices. Because of its extensibility and since it is already a standard for data interchange on the web, Flemish Administrations have chosen the Resource Description Framework (RDF) to facilitate the creation and reuse of machine-readable data.
This is Part II of the tutorial "Entity Linking and Retrieval" given at SIGIR 2013 (together with E. Meij and D. Odijk). For the complete tutorial material (including slides for the other parts) visit http://ejmeij.github.io/entity-linking-and-retrieval-tutorial/
The Semantic Web is a mesh of information linked up in such a way as to be easily processable by machines, on a global scale. You can think of it as being an efficient way of representing data on the World Wide Web, or as a globally linked database.
This is Part II of the tutorial "Entity Linking and Retrieval for Semantic Search" given at WSDM 2014 (together with E. Meij and D. Odijk). For the complete tutorial material (including slides for the other parts) visit http://ejmeij.github.io/entity-linking-and-retrieval-tutorial/
First Steps in Semantic Data Modelling and Search & Analytics in the CloudOntotext
This webinar will break the roadblocks that prevent many from reaping the benefits of heavyweight Semantic Technology in small scale projects. We will show you how to build Semantic Search & Analytics proof of concepts by using managed services in the Cloud.
Transforming Your Data with GraphDB: GraphDB Fundamentals, Jan 2018Ontotext
These are slides from a live webinar taken place January 2018.
GraphDB™ Fundamentals builds the basis for working with graph databases that utilize the W3C standards, and particularly GraphDB™. In this webinar, we demonstrated how to install and set-up GraphDB™ 8.4 and how you can generate your first RDF dataset. We also showed how to quickly integrate complex and highly interconnected data using RDF and SPARQL and much more.
With the help of GraphDB™, you can start smartly managing your data assets, visually represent your data model and get insights from them.
Entity Search: The Last Decade and the Nextkrisztianbalog
Keynote talk given at the 10th Russian Summer School in Information Retrieval (RuSSIR ’16), Saratov, Russia, August 2016.
Note: part of the work is under still review; those slides are not yet included.
Property graph vs. RDF Triplestore comparison in 2020Ontotext
This presentation goes all the way from intro "what graph databases are" to table comparing the RDF vs. PG plus two different diagrams presenting the market circa 2020
OrientDB: Unlock the Value of Document Data RelationshipsFabrizio Fortino
a) A general introduction of graph databases and OrientDB,
b) Why connected data has more value than just data,
c)How to "have fun" with OrientDB combining documents with graphs via SQL,
d) A use case on how OrientDB has helped to raise standards in Irish Public Office.
On OrientDB: NOSQL document databases provide an elegant way to deal with data in different shapes enabling developers to create better and faster products quickly. The main goal of these systems is to find the most efficient solution to manage data itself. With the Big Data Explosion we need to deal with a myriad of highly interconnected information. The challenge now is not only on how to store data but on how to manage, analyse, traverse and use your data within the context of relationships. Graph databases shine at maintaining highly connected data and is the fastest growing category in database management systems: 2014 registered an increase of 250% in terms of adoption and Forrester Research predicts that more than a quarter of enterprises will be using graphs by 2017. OrientDB combines more than one NOSQL model offering the unique flexibility of modelling data in the form of either documents, or graphs, while incorporating object oriented programming as a way of encapsulating relationships.
Reasoning with Big Knowledge Graphs: Choices, Pitfalls and Proven RecipesOntotext
This presentation will provide a brief introduction to logical reasoning and overview of the most popular semantic schema and ontology languages: RDFS and the profiles of OWL 2.
While automatic reasoning has always inspired the imagination, numerous projects have failed to deliver to the promises. The typical pitfalls related to ontologies and symbolic reasoning fall into two categories:
- Over-engineered ontologies. The selected ontology language and modeling patterns can be too expressive. This can make the results of inference hard to understand and verify, which in its turn makes KG hard to evolve and maintain. It can also impose performance penalties far greater than the benefits.
- Inappropriate reasoning support. There are many inference algorithms and implementation approaches, which work well with taxonomies and conceptual models of few thousands of concepts, but cannot cope with KG of millions of entities.
- Inappropriate data layer architecture. One such example is reasoning with virtual KG, which is often infeasible.
The Bounties of Semantic Data Integration for the Enterprise Ontotext
If you are looking for solutions that allow you not only to manage all of your data (structured, semi-structured and unstructured) but to also make the most out of them, using a common language is critical.
Adding Semantic Technology to data integration is the glue that holds together all your enterprise data and their relationships in a meaningful way.
Learn how you can quickly design data processing jobs and integrate massive amounts of data and see what semantic integration can do for your data and your business.
www.ontotext.com
[Conference] Cognitive Graph Analytics on Company Data and NewsOntotext
Atanas Kiryakov, Ontotext's CEO, presented at the Data Day Texas 2018 conference, which took place in Austin, TX, USA, on January 27th.
Ontotext's talk was part of the Graph Day Sessions and its focus was 'Cognitive graph analytics on company data and news', aiming to demonstrate the power of Graph Analytics to create links between various datasets and lead to knowledge discovery.
[Webinar] FactForge Debuts: Trump World Data and Instant Ranking of Industry ...Ontotext
This webinar continues series are demonstrating how linked open data and semantic tagging of news can be used for comprehensive media monitoring, market and business intelligence. The platform for the demonstrations is FactForge: a hub for news and data about people, organizations, and locations (POL). FactForge embodies a big knowledge graph (BKG) of more than 1 billion facts that allows various analytical queries, including tracing suspicious patterns of company control; media monitoring of people, including companies owned by them, their subsidiaries, etc.
The Power of Semantic Technologies to Explore Linked Open DataOntotext
Atanas Kiryakov's, Ontotext’s CEO, presentation at the first edition of Graphorum (http://graphorum2017.dataversity.net/) – a new forum that taps into the growing interest in Graph Databases and Technologies. Graphorum is co-located with the Smart Data Conference, organized by the digital publishing platform Dataversity.
The presentation demonstrates the capabilities of Ontotext’s own approach to contributing to the discipline of more intelligent information gathering and analysis by:
- graphically explorinh the connectivity patterns in big datasets;
- building new links between identical entities residing in different data silos;
- getting insights of what type of queries can be run against various linked data sets;
- reliably filtering information based on relationships, e.g., between people and organizations, in the news;
- demonstrating the conversion of tabular data into RDF.
Learn more at http://ontotext.com/.
Open standards for linked organisations | meeting Estonia - Flemish Governmen...Raf Buyle
The Flemish Government in Belgium has an interoperability program called Open Standards for Linked Organizations (OSLO), which focuses on both technical and semantical interoperability of data and systems used for (digital) government service delivery.
On the semantical level, information is aligned with European standards (ISA² Core Vocabularies and INSPIRE), enriched by data extensions to comply with the local context. On the technical level, we developed RESTFul APIs which build upon the principles of Linked Data.
The API conforms to the Flemish URI standard1, describing how data resources can be exposed using persistent and “cool” URIs2, in line with international best practices. Because of its extensibility and since it is already a standard for data interchange on the web, Flemish Administrations have chosen the Resource Description Framework (RDF) to facilitate the creation and reuse of machine-readable data.
This is Part II of the tutorial "Entity Linking and Retrieval" given at SIGIR 2013 (together with E. Meij and D. Odijk). For the complete tutorial material (including slides for the other parts) visit http://ejmeij.github.io/entity-linking-and-retrieval-tutorial/
The Semantic Web is a mesh of information linked up in such a way as to be easily processable by machines, on a global scale. You can think of it as being an efficient way of representing data on the World Wide Web, or as a globally linked database.
This is Part II of the tutorial "Entity Linking and Retrieval for Semantic Search" given at WSDM 2014 (together with E. Meij and D. Odijk). For the complete tutorial material (including slides for the other parts) visit http://ejmeij.github.io/entity-linking-and-retrieval-tutorial/
First Steps in Semantic Data Modelling and Search & Analytics in the CloudOntotext
This webinar will break the roadblocks that prevent many from reaping the benefits of heavyweight Semantic Technology in small scale projects. We will show you how to build Semantic Search & Analytics proof of concepts by using managed services in the Cloud.
Transforming Your Data with GraphDB: GraphDB Fundamentals, Jan 2018Ontotext
These are slides from a live webinar taken place January 2018.
GraphDB™ Fundamentals builds the basis for working with graph databases that utilize the W3C standards, and particularly GraphDB™. In this webinar, we demonstrated how to install and set-up GraphDB™ 8.4 and how you can generate your first RDF dataset. We also showed how to quickly integrate complex and highly interconnected data using RDF and SPARQL and much more.
With the help of GraphDB™, you can start smartly managing your data assets, visually represent your data model and get insights from them.
Entity Search: The Last Decade and the Nextkrisztianbalog
Keynote talk given at the 10th Russian Summer School in Information Retrieval (RuSSIR ’16), Saratov, Russia, August 2016.
Note: part of the work is under still review; those slides are not yet included.
FIWARE Global Summit - NGSI-LD - NGSI with Linked DataFIWARE
Presentation by Martin Bauer
Senior Researcher, NEC Labs Europe
José Manuel Cantera
Senior Standardization Expert, FIWARE Foundation
FIWARE Global Summit
27-28 November 2018
Malaga, Spain
Open Data and News Analytics Demo from the 4th Sofia Open Data & Linked Data meetup
http://www.meetup.com/Sofia-Open-Data-Linked-Data-Meetup/events/228747999/
Mar'2016, Sofia | BG
Towards Digital Twin standards following an open source approachFIWARE
Digital Twins are gaining momentum when designing smart solutions in different application domains. However, there is a lack of open standards that warrant interoperability and portability of solutions, avoiding vendor lock-in.
During the presentation, we will review major developments in this area, focused on the adoption of a standard API for accessing Digital Twin Data and Smart Data Models. We will review how a Digital Twin approach enables data integration at different levels: architecting vertical smart solutions, within smart organizations and across organizations. At all levels interfacing with IoT, BigData, AI/ML, Blockchain, or Robotics technologies.
Connecting the Next Billion Devices to the Internet - Standards and ProtocolsSteve Ray
Presentation delivered at the IoTx Expo in Dubai, June 2015
Evolution of protocols and standards for the Internet of Things.
Why standards designed for different verticals need to interoperate to deliver business value.
How to avoid creating silos that will make bridging applications across different verticals challenging.
Interactions spanning multiple organizations have become an important aspect in today’s collaboration landscape. Organizations create alliances to fulfill strategic objectives. The dynamic nature of collaborations increasingly demands for automated techniques and algorithms to support the creation of such alliances. Our approach bases on the recommendation of potential alliances by discovery of currently relevant competence sources and the support of semi-automatic formation. The environment is service-oriented comprising humans and software services with distinct capabilities. To mediate between previously separated groups and organizations, we introduce the broker concept that bridges disconnected networks. Here we present a dynamic broker discovery approach based on interaction mining techniques and trust metrics.
Multi-Model Data Query Languages and Processing ParadigmsJiaheng Lu
Specifying users' interests with a formal query language is a typically challenging task, which becomes even harder in the context of multi-model data management because we have to deal with data variety. It usually lacks a unified schema to help the users issuing their queries, or has an incomplete schema as data come from disparate sources. Multi-Model DataBases (MMDBs) have emerged as a promising approach for dealing with this task as they are capable of accommodating and querying the multi-model data in a single system. This tutorial aims to offer a comprehensive presentation of a wide range of query languages for MMDBs and to make comparisons of their properties from multiple perspectives. We will discuss the essence of cross-model query processing and provide insights on the research challenges and directions for future work. The tutorial will also offer the participants hands-on experience in applying MMDBs to issue multi-model data queries.
SmartCities increase citizens’ quality of life and improve the efficiency and quality of the services provided by governing entities and business
“The city must become like the Internet, i.e. enabling creative development and easy deployment of applications which aim to empower the citizen” - THE APPS FOR SMART CITIES MANIFESTO
This view can be achieved by leveraging:
Available infrastructure such as Open Government Data and deployed sensor networks in cities
Citizens’ participation through apps in their smartphones
The IES CITIES project promotes user-centric mobile micro-services that exploit open data and generate user-supplied data
Hypothesis: Users may help on improving, extending and enriching the open data in which micro-services are based
Its platform aims to:
Facilitate the generation of citizen-centric apps that exploit urban data in different domains
Enable user supplied data to complement, enrich and enhance existing datasets about a city
How to Reveal Hidden Relationships in Data and Risk AnalyticsOntotext
Imagine risk analysis manager or compliance officer who can discover easily relationships like this: Big Bucks Café out of Seattle controls My Local Café in NYC through an offshore company. Such discovery can be a game changer if My Local Café pretends to be an independent small enterprise, while recently Big Bucks experiences financial difficulties.
Test Trend Analysis : Towards robust, reliable and timely testsHugh McCamphill
Slides from my talk at Selenium Conference 2016.
In this talk you will get ideas about how you can instrument test result information to provide actionable data, paving the way for more robust, reliable and timely test results.
By capturing this information over time, and when combined with visualization tools, we can answer different questions than with existing solutions (Allure / CI tool build history). Some examples of these are:
Which tests are consistently flaky
What are the common causes of failure across tests
Which tests consistently take a long time to run
Using this information we can move away from the ‘re-run’ culture and better support continuous integration goals of having quick, reliable, deterministic tests
Video of the talk is here: https://youtu.be/29fPYx7OJnE?list=PL_7kBU2XBlbKuRNVHeqjXUygXtToqMHsn
FIWARE Wednesday Webinars - How to Design DataModelsFIWARE
How to Design DataModels - 8th May 2019
Corresponding webinar recording: https://youtu.be/T_1DpKf6C_c
Understanding and applying Standard Data Models.
Chapter: Core
Difficulty: 3
Audience: Technical Domain Specific
Presenter: José Manuel Cantera (Senior Standardization Expert, FIWARE Foundation)
How to Achieve Cross-Industry Semantic InteroperabilityDoug Migliori
Interoperability, or the ability of computer systems or software to exchange or make use of information, is a requirement of all devices participating in today’s information economy. Traditionally, interoperability has been defined mostly in the context of network communications. But with millions of devices being connected in industries ranging from smart home and building automation to smart energy and retail to healthcare and transportation, a broader definition is now required that considers the cross-domain impact of interoperability on system-to-system performance. In this presentation, the speaker will discuss the need for a common service model and ontologies for semantic interoperability that support both IoT and business systems, based on article series at http://www.embedded-computing.com/semantic-interop
F.A.I.R Data Principles with Knowledge Graphs & AI. Challenges and opportunities with emerging new technologies and paradigm shift of information management and data governance.
Content Practices - participation and semantic enhancementFredric Landqvist
Content Practices, and participation economy. Where semantic web, web of data, linked data will provide interoperable work practices, for both professional content editors as well as end-user generated content.
Organising Principles to the Emerging Digital Workplace. Applied pragmatic rules, to increas quaility to information and data shared, with standards and proper resource descriptions. That improves findability on any device, anytime anywhere. Cases with Sharepoint and CMS
How will semantic web enhance the emerging social business arena, and tailor linked enterprise data with both external resources and internal digital workplace?
Findability and wayfinding for the future. Where linked-data and other semantic means, help out with organising princples to enhance the information architecture.
Linked Data and Citizen Participation - Next Gen of Muncipality ServiceFredric Landqvist
Linked Data, Semantic Web and Citizen Participation for a Muncipality. Organising Principles to improve services and interoperability between channels, and devices to access gov.data aligned with standards.
Jennifer Schaus and Associates hosts a complimentary webinar series on The FAR in 2024. Join the webinars on Wednesdays and Fridays at noon, eastern.
Recordings are on YouTube and the company website.
https://www.youtube.com/@jenniferschaus/videos
A process server is a authorized person for delivering legal documents, such as summons, complaints, subpoenas, and other court papers, to peoples involved in legal proceedings.
Donate to charity during this holiday seasonSERUDS INDIA
For people who have money and are philanthropic, there are infinite opportunities to gift a needy person or child a Merry Christmas. Even if you are living on a shoestring budget, you will be surprised at how much you can do.
Donate Us
https://serudsindia.org/how-to-donate-to-charity-during-this-holiday-season/
#charityforchildren, #donateforchildren, #donateclothesforchildren, #donatebooksforchildren, #donatetoysforchildren, #sponsorforchildren, #sponsorclothesforchildren, #sponsorbooksforchildren, #sponsortoysforchildren, #seruds, #kurnool
This session provides a comprehensive overview of the latest updates to the Uniform Administrative Requirements, Cost Principles, and Audit Requirements for Federal Awards (commonly known as the Uniform Guidance) outlined in the 2 CFR 200.
With a focus on the 2024 revisions issued by the Office of Management and Budget (OMB), participants will gain insight into the key changes affecting federal grant recipients. The session will delve into critical regulatory updates, providing attendees with the knowledge and tools necessary to navigate and comply with the evolving landscape of federal grant management.
Learning Objectives:
- Understand the rationale behind the 2024 updates to the Uniform Guidance outlined in 2 CFR 200, and their implications for federal grant recipients.
- Identify the key changes and revisions introduced by the Office of Management and Budget (OMB) in the 2024 edition of 2 CFR 200.
- Gain proficiency in applying the updated regulations to ensure compliance with federal grant requirements and avoid potential audit findings.
- Develop strategies for effectively implementing the new guidelines within the grant management processes of their respective organizations, fostering efficiency and accountability in federal grant administration.
Jennifer Schaus and Associates hosts a complimentary webinar series on The FAR in 2024. Join the webinars on Wednesdays and Fridays at noon, eastern.
Recordings are on YouTube and the company website.
https://www.youtube.com/@jenniferschaus/videos
Presentation by Jared Jageler, David Adler, Noelia Duchovny, and Evan Herrnstadt, analysts in CBO’s Microeconomic Studies and Health Analysis Divisions, at the Association of Environmental and Resource Economists Summer Conference.
Russian anarchist and anti-war movement in the third year of full-scale warAntti Rautiainen
Anarchist group ANA Regensburg hosted my online-presentation on 16th of May 2024, in which I discussed tactics of anti-war activism in Russia, and reasons why the anti-war movement has not been able to make an impact to change the course of events yet. Cases of anarchists repressed for anti-war activities are presented, as well as strategies of support for political prisoners, and modest successes in supporting their struggles.
Thumbnail picture is by MediaZona, you may read their report on anti-war arson attacks in Russia here: https://en.zona.media/article/2022/10/13/burn-map
Links:
Autonomous Action
http://Avtonom.org
Anarchist Black Cross Moscow
http://Avtonom.org/abc
Solidarity Zone
https://t.me/solidarity_zone
Memorial
https://memopzk.org/, https://t.me/pzk_memorial
OVD-Info
https://en.ovdinfo.org/antiwar-ovd-info-guide
RosUznik
https://rosuznik.org/
Uznik Online
http://uznikonline.tilda.ws/
Russian Reader
https://therussianreader.com/
ABC Irkutsk
https://abc38.noblogs.org/
Send mail to prisoners from abroad:
http://Prisonmail.online
YouTube: https://youtu.be/c5nSOdU48O8
Spotify: https://podcasters.spotify.com/pod/show/libertarianlifecoach/episodes/Russian-anarchist-and-anti-war-movement-in-the-third-year-of-full-scale-war-e2k8ai4
Jennifer Schaus and Associates hosts a complimentary webinar series on The FAR in 2024. Join the webinars on Wednesdays and Fridays at noon, eastern.
Recordings are on YouTube and the company website.
https://www.youtube.com/@jenniferschaus/videos
ZGB - The Role of Generative AI in Government transformation.pdfSaeed Al Dhaheri
This keynote was presented during the the 7th edition of the UAE Hackathon 2024. It highlights the role of AI and Generative AI in addressing government transformation to achieve zero government bureaucracy
8. Master Classes
8HÅLLBAR STAD – ÖPPEN FÖR VÄRLDEN
Service
cpsv:provides
Organization
Location
Organizational Unit
dcterms:spatial
Site
org:hasSite
locn:location
dcterms:isPartOf
cpsv:related
cpsv:requires
Person
org:subOrganizationOf
org:unitOf
org:hasMembership
org:role
cpsv:hasCompetentAuthority
9. Definitions (eng)
9HÅLLBAR STAD – ÖPPEN FÖR VÄRLDEN
• Master data represents the business objects which are agreed on and
shared across the enterprise. It can cover relatively static reference
data, transactional, unstructured, analytical, hierarchical and meta data
• Semantics is the linguistic and philosophical study of meaning, in
language, programming languages, formal logics, and semiotics. It is
concerned with the relationship between signifiers—like words,
phrases, signs, and symbols—and what they stand for, their denotation
• Information governance, or IG, is the management of information at
an organization. Information governance balances the use and
security of information. Information governance helps with legal
compliance, operational transparency, and reducing expenditures
associated with legal discovery
17. Demo of Gothenburg pilot
● Terms, terminologies, and reference data (SKOS ,W3C, Simple
Knowledge Organising System)
○ Code System, Taxonomies, Glossaries, Thesauri, Ontologies
○ Ex. SNI code, Företagsform, AID-code, Befattningar, Integrated
Public Service Vocab (ISPV)
● Workbench, manage object (with properties) and domain-models (
RDF-scheman, alt Web Ontologier, OWL)
○ ISA2 Core Vocabularies, W3C Organisation Ontology, Location,
Inspire Spatial Data etc.
● Quality data through use of open standards, and models reaching
interoperability, and effective information management.
20. Models and entities
● Master data entiteties from standards as
ISA2 core vocabularies
● Person (individuals)
● Organisation (entiteties with vat.nb)
○ Enhet (OrgUnit)
● Place (address alt geo-code)
● Location, spatial area
● Service, (internal/external) [CPSV-AP]
21. Person
● A model to cover all type of person types.
● A individual have several facets (member
of staff, citizen, pupil, politician etc)
● A member of staff might have multi
employments, and roles.
● Word identification code (AID-code) and
postions Befattningar code with
terminologies from www.SKL.se
22. Organisation
● Organisation is the super class that
define any organisation, that the
municipality interact with.
● Organisation is classificied with
företagsform, and SNI-code (NACE)
● All orgnisations are linked to organistional
unites. There are also inter-linking
betwenn organisation in networks.
● Göteborgs Stad is the top node and
classifice as #kommun / municipality ;-)
23. Enhet (orgUnit)
● A municipality have a multitude of
organising principles, as governance,
political steering, city parts, departments,
sectors, areas, and groups
● The organisation have many hierarchical
levels, as well as links into a network
(graph)
● Org Units provision many serviuces
● A Unit can also be acting out of many
places.
24. Place and area
● Place is either a address, or a
geographical position where a Unit
provision services.
● All places are part spatial areas, or
geographical locations, as postal code,
city part, area etc..
● Locations is managed with the cities GIS-
systems, with unique identifiers and
spatial services.
25. Service
● Tjänst / Service kan antingen vara intern
eller extern (riktad mot ex invånare)
● Klassificering och beskrivning av service
är tillämpning av CPSV-AP
● Instansiering av en tjänst, kan antingen
vara virtuell (e-tjänster) eller fysisk.
● Service ingår i olika hierarkier av service
förpackningar / erbjudanden.
● Processer, rutiner och arbetssätt för att
genomföra en service sker i olika
verksamhetsstödjande system.
26. Utility of Master Data
● Information management with master data platform:
○ Asynchronous (enterprise service bus) via
informations contrakt v using the integration engine
○ Syncron via RestfulAPI eller Queries
○ Visualisation in a graph
● Independent if the actor is another system or an
individual, the service opens up to many ways to
interact, and re-use the information in
interoperatible manner.
27. API alternative
Alternative 1 – Linked data + Solr
● Each response is a “metadata record”.
● Connecting the entiteties, either via Solr search or links
● Access control respected
Alternative 2 – graph search (SPARQL)
● Express specific statements
● Connect via relations and entities
● Access control not respected, only public information
28. Alt 1 - Linked data
In general:
BAS/{contextId}/metadata/{entryId}
Get metadata, that describes a entity in ex. Person in
Turtle format:
https://goteborg.entryscape.net/store/27/metadata/5?
format=text/turtle
29.
30. Alt 1 cont. - Solr
In general:
BAS/search?type=solr&query=uttryck
Exemple:
● Search for entities that are type person
● Limit to one “context”
BAS/search?type=solr&query=rdfType:<URI1>+AND+context:<URI2>
URI:s have to be urlencodade, below search in context 27
https://goteborg.entryscape.net/store/search?type=solr&query
=rdfType:http%5C%3A%2F%2Fxmlns.com%2Ffoaf%2F0.1%2FPerson+AND
+context:https%5C%3A%2F%2Fgoteborg.entryscape.net%2Fstore%2F
27
33. SPARQL – Query pattern
?p rdf:type foaf:Person ; //Search for persons (?p)
foaf:name ?personNamn ; //that have a name (?personName)
org:hasMembership ?m . //that are member of (?m)
?m org:organization ?o . //In a organisation (?o)
?o skos:prefLabel ?orgNamn ; //that has a name (?orgNamn)
org:hasSite ?s . //that exist in a place (?s)
?s skos:prefLabel ?siteNamn . //that has a name (?siteNamn)
34. SPARQL – Limit to a graph
GRAPH <https://goteborg.entryscape.net/store/27> {
… //En massa graf påståenden
}
// Limit to the named graph “27”
38. Future data interoperability vision
38HÅLLBAR STAD – ÖPPEN FÖR VÄRLDEN
Structured and unstructured data
RDBS
Agresso
Personec
Notes
ServiceNow
ISIM
39. Information Lifecycle
• Different levels & granularities along each data/information lifecycle
• Framework needed for IG & the different roles/levels
Creator/author
Owner
User
Administrator
Information Steward
Department/Process owner
IG Dteering Group