Making Wikidata fit as a Linking Hub for Knowledge Organization Systems
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Wikidata can serve as a linking hub for knowledge organization systems by using its new "mapping relation type" qualifier (P4390) to optionally qualify external property relations with a mapping type like exactMatch, closeMatch, or narrowMatch. This qualifier allows tracking its usage by relation type and external ID properties. The qualifier aims to improve Wikidata's role as a hub for linking different knowledge organization systems.
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Semantic MediaWiki as Knowledge Graph Interface
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Semantic MediaWiki (SMW), which was introduced as early as in 2006, has since gone on to establish a vital community and is currently one of the few semantic wiki solutions still in existence. SMW is an extension of MediaWiki, the software used for Wikipedia and many other projects, resulting in a largely sustainable codebase and ecosystem. There are many reasons why SMW should not be overlooked by the knowledge graph community:
SMW is capable of directly connecting to several triple stores (Blazegraph, Virtuoso, Jena), which is why it can be considered an interface for entering data into knowledge graphs.
SMW can use its internal relational database (or ElasticSearch), enabling users to build simple knowledge graphs without in-depth knowledge about triple stores.
SMW has the built-in capability of exporting to RDF including building complete RDF data dumps that can be imported into existing knowledge graphs.
SMW has the capability to reuse existing ontologies by importing vocabularies and providing unique identifiers.
The explicit semantic content of Semantic MediaWiki is formally interpreted in the OWL DL ontology language and is made available in XML/RDF format.
A simple internal query language is available to query the internal knowledge graph from within SMW, without the requirement of having a SPARQL endpoint. However, extensions for implementing SPARQL in SMW are available as well.
SMW has the capability to enable data curation for experienced users responsible for the ontology as well as simple form-based input for regular users that can easily populate the KG with data.
There are several approaches to visualizing data in SMW, thus making the knowledge graph visible and interactive.
Implementing custom ontologies in SMW is quite easy, everything is built-in wiki pages (e.g. definition of properties and datatypes, forms and templates).
SMW has low barriers to implementation as it is a clean extension to MediaWiki, which is PHP software running on regular web hosts.
In the talk, I will give an overview of the mentioned aspects and highlight some main differences to Wikibase – which is an alternative approach for managing structured data in MediaWiki – as well as the current limitations of SMW.
Linked data and semantic wikis
This presentation gives a brief overview on achievements and challenges of the Data Web and describes different aspects of using the Semantic Data Wiki OntoWiki for Linked Data management.
Publishing metadata provenance
The document discusses the German National Library's use of metadata provenance to track whether subject headings were assigned by a cataloger or automated process. It describes using the PROV ontology and qualified relations design pattern to represent provenance in RDF data. Examples are given showing how automated assignments are represented, including the activity, plan, timestamps and software agent. Data dumps containing provenance information are available and feedback is welcomed.
Elastic network of things with mqtt and micro python
This document discusses using MicroPython and MQTT to create an elastic network of things. It introduces MicroPython and how to flash it onto ESP8266 modules. MQTT messaging is then covered as a way for devices to communicate in a publish/subscribe model. Lastly, some potential applications are proposed, such as using event systems and neural network-inspired approaches to coordinate devices in an "If These Then Those" type of distributed logic.
FAIR Signposting: A KISS Approach to a Burning Issue
Various FAIR criteria pertaining to machine interaction with scholarly artifacts can commonly be addressed by means of repository-wide affordances that are uniformly provided for all hosted artifacts rather than through artifact-specific interventions. If various repository platforms provide such affordances in an interoperable manner, devising tools - for both human and machine use - that leverage them becomes easier.
My involvement, over the years, in a range of interoperability efforts has brought the insight that two factors strongly influence adoption: addressing a burning issue and delivering a KISS solution to tackle it. Undoubtedly, FAIR and FAIR DOs are burning issues. FAIR Signposting <https://signposting.org/FAIR/> is an ad-hoc repository interoperability effort that squarely fits in this problem space and that purposely specifies a KISS solution, hoping to inspire wide adoption.
Bde euro proworkshop
The document describes the BigDataEurope project, which aims to lower barriers for using big data technologies across different societal domains. It provides a one-stop solution called the Big Data Integrator platform that allows flexible deployment of open source big and smart data management tools using Docker containers. The platform is demonstrated through 7 pilot use cases aligned with European Commission challenges. Workshops and webinars are held to engage stakeholders and show societal value. The project coordinates integration of tools for data acquisition, storage, processing, analytics and semantics.
EIFL 2014 - Linked Open Data
Presentation at the EIFL General Assembly 2014
http://www.eifl.net/eifl-2014-general-assembly
Trends to watch: Linked Open Data
Linking Knowledge Organization Systems via Wikidata (DCMI conference 2018)
Wikidata has been used sucessfully as a linking hub for authoritiy files. Knowledge organization systems like thesauri or classifications are more complex and pose additional challenges.
Elastic r sc10-tutorial
Elastic-R is a virtual collaborative environment for scientific computing and data analysis in the cloud. It aims to lower barriers to accessing cyberinfrastructures and bridge the gap between existing scientific computing environments (SCEs) and grids/clouds. Elastic-R provides plug-and-play access to computational resources like clusters, grids, and clouds. It includes computational components like R packages, Scilab modules, and toolkits. Users can access these components through computational interfaces like a web-based workbench with plugins. Elastic-R also provides storage, scripting environments, and application programming interfaces to facilitate collaboration and reproducible research.
Schema.org Annotations and Web Tables: Underexploited Semantic Nuggets on the...
Slideset of the keynote talk given by Christian Bizer at the Language Data and Knowledge (LDK 2019) conference in Leipzig, Germany
Abstract of the talk:
Millions of websites have started to annotate data describing products, local business, events, jobs, places, recipes, and reviews within their HTML pages using the schema.org vocabulary. These annotations are widely used by search engines to render rich snippets within search results. Surprisingly, the annotations are hardly used by the research community. In the talk, Christian Bizer investigates the potential of schema.org annotations for being used as training data for tasks such as entity matching, information extraction, and sentiment analysis. Web pages that offer semantic annotations often also contain additional structured data in the form of HTML tables. In the second part of the talk, Christian Bizer discusses the interplay of semantic annotations and web tables for information extraction as well as the general potential of relational HTML tables for complementing knowledge bases such as DBpedia, focusing on the discovery of formerly unknown long tail entities as well as the extraction of n-ary relations.
Link to the conference website:
http://2019.ldk-conf.org/invited-speakers/
RO-Crate: packaging metadata love notes into FAIR Digital Objects
Abstract
slides available at: https://zenodo.org/record/7147703#.Y7agoxXP2F4
The Helmholtz Metadata Collaboration aims to make the research data [and software] produced by Helmholtz Centres FAIR for their own and the wider science community by means of metadata enrichment [1]. Why metadata enrichment and why FAIR? Because the whole scientific enterprise depends on a cycle of finding, exchanging, understanding, validating, reproducing), integrating and reusing research entities across a dispersed community of researchers.
Metadata is not just “a love note to the future” [2], it is a love note to today’s collaborators and peers. Moreover, a FAIR Commons must cater for the metadata of all the entities of research – data, software, workflows, protocols, instruments, geo-spatial locations, specimens, samples, people (well as traditional articles) – and their interconnectivity. That is a lot of metadata love notes to manage, bundle up and move around. Notes written in different languages at different times by different folks, produced and hosted by different platforms, yet referring to each other, and building an integrated picture of a multi-part and multi-party investigation. We need a crate!
RO-Crate [3] is an open, community-driven, and lightweight approach to packaging research entities along with their metadata in a machine-readable manner. Following key principles - “just enough” and “developer and legacy friendliness - RO-Crate simplifies the process of making research outputs FAIR while also enhancing research reproducibility and citability. As a self-describing and unbounded “metadata middleware” framework RO-Crate shows that a little bit of packaging goes a long way to realise the goals of FAIR Digital Objects (FDO)[4], and to not just overcome platform diversity but celebrate it while retaining investigation contextual integrity.
In this talk I will present the why, and how Research Object packaging eases Metadata Collaboration using examples in big data and mixed object exchange, mixed object archiving and publishing, mass citation, and reproducibility. Some examples come from the HMC, others from EOSC, USA and Australia, and from different disciplines.
Metadata is a love note to the future, RO-Crate is the delivery package.
[1] https://helmholtz-metadaten.de/en
[2] Scott, Jason The Metadata Mania, http://ascii.textfiles.com/archives/3181, June 2011
[3] Soiland-Reyes, Stian et al. “Packaging Research Artefacts with RO-Crate”. Data Science, 2022; 5(2):97-138, DOI: 10.3233/DS-210053
[4] De Smedt K, Koureas D, Wittenburg P. “FAIR Digital Objects for Science: From Data Pieces to Actionable Knowledge Units”. Publications. 2020; 8(2):21. https://doi.org/10.3390/publications8020021
RO-Crate: A framework for packaging research products into FAIR Research Objects
RO-Crate: A framework for packaging research products into FAIR Research Objects presented to Research Data Alliance RDA Data Fabric/GEDE FAIR Digital Object meeting. 2021-02-25
Enhancing a library OPAC with linked data
Experiments with semantic web markup and linked data for libraries. Loading and utilizing URI's on library MARC catalog records. Leveraging id.loc.gov name authorities links to connect patrons to WorldCat Identities.
BIM from Building to urban fabric: More than just zooming out
Presentation at GEO + BIM Event on 11 December 2018, organised by FLAGIS and HoGent (http://www.flagis.be/)
From Academic Library 2.0 to (Literature) Research 2.0
The document discusses the transition from Library 1.0 to Library 2.0 and Research 2.0, which are influenced by concepts of Web 2.0 like user-generated content, long tails, and collective intelligence. It provides examples of how libraries can apply these concepts through social networking, bookmarking, citation analysis tools, and APIs to engage users and meet their evolving needs. The document also shares results from a survey that found researchers are increasingly using social media and see it becoming more influential in their work in the next 5 years.
LOD2 Webinar Series: CubeViz
(http://lod2.eu/BlogPost/webinar-series) In this Webinar Michael Martin presents CubeViz - a facetted browser for statistical data utilizing the RDF Data Cube vocabulary which is the state-of-the-art in representing statistical data in RDF. This vocabulary is compatible with SDMX and increasingly being adopted. Based on the vocabulary and the encoded Data Cube, CubeViz is generating a facetted browsing widget that can be used to filter interactively observations to be visualized in charts. Based on the selected structure, CubeViz offer beneficiary chart types and options which can be selected by users.
If you are interested in Linked (Open) Data principles and mechanisms, LOD tools & services and concrete use cases that can be realised using LOD then join us in the free LOD2 webinar series!
Talk at ParCo2019
The document discusses the BondMachine Toolkit, which aims to develop a novel moldable computer architecture called the BondMachine. The BondMachine architecture allows for the dynamic generation of computer systems composed of many small heterogeneous cores with reconfigurable interconnects, in order to optimize the system for specific computational problems. It seeks to address challenges with current architectures like the von Neumann bottleneck and improve energy efficiency. The toolkit includes tools to program and configure the BondMachine architecture using high-level languages to run workloads like neural networks efficiently.
Semantic Media Management with Apache Marmotta
Thomas Kurz gives a presentation on semantic media management using Apache Marmotta. He plans to create a new Marmotta module that supports storing images, annotating image fragments, and retrieving images and fragments based on annotations. This will make use of linked data platform, media fragment URIs, open annotation model, and SPARQL-MM. The goal is to create a Marmotta module and webapp that extends LDP for image fragments and provides a UI for image annotation and retrieval.
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Elastic network of things with mqtt and micro python
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FAIR Signposting: A KISS Approach to a Burning Issue
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Linking Knowledge Organization Systems via Wikidata (DCMI conference 2018)
Linking Knowledge Organization Systems via Wikidata (DCMI conference 2018)
Schema.org Annotations and Web Tables: Underexploited Semantic Nuggets on the...
Schema.org Annotations and Web Tables: Underexploited Semantic Nuggets on the...
RO-Crate: packaging metadata love notes into FAIR Digital Objects
RO-Crate: packaging metadata love notes into FAIR Digital Objects
RO-Crate: A framework for packaging research products into FAIR Research Objects
RO-Crate: A framework for packaging research products into FAIR Research Objects
BIM from Building to urban fabric: More than just zooming out
BIM from Building to urban fabric: More than just zooming out
From Academic Library 2.0 to (Literature) Research 2.0
From Academic Library 2.0 to (Literature) Research 2.0
More from Joachim Neubert
Exploring and mapping the category system of the world‘s largest public press...
ZBW is a member of the Leibniz Association that has explored and mapped the category system of the world's largest public press archives. The archives contain over 25,000 thematic dossiers from 1908 to 1949 about persons, general subjects, events, and companies with over 2 million scanned pages available online. ZBW aims to map the historic system used to organize knowledge about the world in the press archives to Wikidata to make the information more accessible.
Wikidata (für Archive)
AK Archive der Leibniz-Gemeinschaft, Bonn, 1.10.2019
HTML-Version: https://jneubert.github.io/slides/wd-ak-archive-2019/
Wikidata as a hub for the linked data cloud
Tutorial at DCMI conference in Seoul, 2019-09-25, by Tom Baker, Joachim Neubert and Andra Waagmeester
Rendered HTML version: https://jneubert.github.io/wd-dcmi2019/#/
20th Century Press Archives goes Wikidata
ZBW is a member of the Leibniz Association and maintains the 20th Century Press Archives. The archives contain over 1 million digitized newspaper clippings from 1500+ newspapers covering persons, companies, products, and events. To ensure long term sustainability, ZBW is making the folder metadata from the archives openly available on Wikidata to allow for improved discovery, access, and maintenance of the metadata. Over 90% of person folders from the archives have already been linked on Wikidata. This integration with Wikidata will provide new interfaces and APIs for working with the press archive metadata.
Chancen und Herausforderungen einer komplementären Nutzung von GND und Wikidata
Präsentation bei der GNDCon am 4.12.2018
Pressemappe 20. Jahrhundert: Personen- und Firmendossiers
Datenbeitrag der ZBW - Leibniz-Informationszentrum Wirtschaft zu Coding da Vinci Rhein-Main 2018
20th Century Press Archives goes Wikidata
1) The 20th Century Press Archives housed at ZBW, a member of the Leibniz Association, contains digitized press clippings dating back to 1826 that were organized into dossiers on persons, companies, products and events.
2) The metadata for the dossiers and 1.8 million digitized pages are being linked to Wikidata to make them more accessible and connect them to related information on Wikidata.
3) A new Wikidata property was created to link the press archive dossier IDs to relevant Wikidata items and the press archive data was released on Wikidata and via APIs to encourage participation in the Coding da Vinci cultural hackathon.
Linking authorities through Wikidata
Joachim Neubert presented methods for linking authorities like economists from the Research Papers in Economics (RePEc) database and the Integrated Authority File (GND) to Wikidata items. This included developing tools to match Wikidata items to external IDs, identify items missing properties, lookup external IDs, and trigger property inserts into Wikidata via QuickStatements. Over 10% of economists were added to Wikidata by synthesizing existing mappings and inserting new items from RePEc.
Wikidata as a linking hub for knowledge organization systems? Integrating an ...
Wikidata has been created in order to support all of the roughly 300 Wikipedia projects. Besides interlinking all Wikipedia pages about a specific item – e.g., a person - in different languages, it also connects to more than 1900 different sources of authority information.
We will present lessons learned from using Wikidata as a linking hub for two personal name authorities in economics (GND and RePEc author identifiers) and demonstrate the benefits of moving a mapping from a closed environment to Wikidata as a public and community-curated linking hub. We will further ask to what extent these experiences can be transferred to knowledge organization systems and how the limitation to simple 1:1 relationships (as for authorities) can be overcome. Using STW Thesaurus for Economics as an example, we will investigate how we can make use of existing cross-concordances to "seed" Wik-idata with external identifiers, and how transitive mappings to yet un-mapped vocabularies can be earned.
Wikidata as authority linking hub
ELAG 2017 Abstract: Authority files and identifiers are used by libraries to consistently refer to entities such as subjects and authors. This principle of referencing “things, not strings” is also applied successfully in Linked Open Data and knowledge bases.
The open knowledge base Wikidata connects Wikipedia articles in any language and provides background information on article’s subject such images and affiliations. In addition to internal references Wikidata contains identifiers from more than thousand authority files: well known library identifiers such as VIAF and GND, researcher IDs such as ORCID and Google Scholar, and identifiers for many more items such as TED speakers and Find A Grave. Wikidata thus emerges as a giant curated linking hub based on authority identifiers. In contrast to closed authority files that often impose tedious procedures, Wikidata can be enhanced and corrected by anybody, just like Wikipedia.
The management of links between authority files in Wikidata is particularly suitable for automation: mappings extracted from Wikidata can be used in other systems and mapping data is already available in libraries ready to be added to Wikidata. This presentation will illustrate the use of Wikidata as authority linking hub with a case study considering links between author identifiers from RePEc (Research Papers in Economics) and GND. Workflows include both automatic and semi-automatic mapping approaches. We will address both technical solutions and organizational policies ruling the operation of Wikidata bots for automated updates. The tools presented in this talk include “wdmapper” command line application for extracting and complementing mappings from Wikidata with external mapping files and the “Mix’n’Match” to support crowdsourced mapping of authority files to Wikidata.
Online version: https://hackmd.io/s/S1YmXWC0e#
EconBiz Research Dataset (SWIB16 Lightning Talk)
A lean dataset for experiments and research in Library Linked Data, referecing multiple authorities, thesauri and classifications.
Using Wikidata as an Authority for the SowiDataNet Research Data Repository
Wikidata provides a comprehensive authority for geographical entities that can be used by the SowiDataNet Research Data Repository. Wikidata contains countries, German states, the European Union, and geographical regions without needing to create a custom authority. A custom query can access just the required geographical data items from Wikidata, gaining identifiers, multilingual labels, links to other identifiers, and abundant information from Wikipedia with minimal cost and effort compared to maintaining a custom authority.
Change Tracking in Knowledge Organization Systems with skos-history
Webinar in the DCMI/ASIST/AIMS Webinar Series: Generic Tools and Methods for SKOS-based Concept Schemes (16.3.2016)
Anforderungen an Thesauri im Semantic Web
Seminar für die Deutsche Nationalbibliothek, Leipzig und Frankfurt/Main, 1./2.3.2016
Leveraging SKOS to trace the overhaul of the STW Thesaurus for Economics
ZBW maintains the STW Thesaurus for Economics. They have overhauled it since 2010 using SKOS, releasing a new version roughly yearly. The latest version 9.0 added 777 new concepts and deprecated 1,052 concepts. To track these complex changes, ZBW developed a dataset versioning and SKOS-history approach. It extracts insertions and deletions between versions and makes them queryable. This provides comprehensive information on concept changes to support users and applications that use the thesaurus.
skos-history: Tracking the evolution of Knowledge Organization Systems
Track changes in published SKOS thesauri, classifications and the like (Lightning talk at ELAG 2015, Stockholm)
KOS evolution in Linked Data
SWIB14 presentation
Over time, Knowledge Organization Systems such as thesauri and classifications undergo lots of changes, as the knowledge domains evolve. Most SKOS publishers therefore put a version tag on their vocabularies. With the vocabularies interwoven in the open web of data, however, different versions may be the base for references in other datasets. So, updates by "third parties" are required, in indexing data as well as in mappings from or to other vocabularies. Yet answers to simple user questions such as "What's new?" or "What has changed?" are not easily obtainable. Best practices and shared standards for communicating changes precisely and making them (machine-) actionable still have to emerge. STW Thesaurus for Economics currently is subject to a series of major revisions. In a case study we review the amount and the types of changes in this process, and demonstrate how versioning in general and difficult types of changes such as the abandonment of descriptors in particular are handled. Furthermore, a method to get a tight grip on the changes, based on SPARQL queries over named graphs, is presented. And finally, the skos-history activity is introduced, which aims at the development of an ontology/application profile and best practices to describe SKOS versions and changes.
Exploiting the version history of SKOS files: skos-history (SWIB13 Lightning ...
The document discusses exploiting the version history of SKOS (Simple Knowledge Organization System) files by publishing and formally tracking changes between versions of SKOS vocabularies. This would help address common questions about what is new or changed when a new version is published. It could benefit human indexers learning about updated terms, those maintaining mappings to other vocabularies, and applications supporting automatic indexing and search. The authors propose tracking changes using a GitHub repository called "skos-history" to establish best practices for maintaining SKOS version histories.
Linked Data Publishing with Drupal (SWIB13 workshop)
Publishing Linked Open Data in a user-appealing way is still a challenge: Generic solutions to convert arbitrary RDF structures to HTML out-of-the-box are available, but leave users perplexed. Custom-built web applications to enrich web pages with semantic tags "under the hood" require high efforts in programming. Given this dilemma, content management systems (CMS) could be a natural enhancement point for data on the web. In the case of Drupal, one of the most popular CMS nowadays, Semantic Web enrichment is provided as part of the CMS core. In a simple declarative approach, classes and properties from arbitrary vocabularies can be added to Drupal content types and fields, and are turned into Linked Data on the web pages automagically. The embedded RDFa marked-up data can be easily extracted by other applications. This makes the pages part of the emerging Web of Data, and in the same course helps discoverability with the major search engines.
In the workshop, you will learn how to make use of the built-in Drupal 7 features to produce RDFa enriched pages. You will build new content types, add custom fields and enhance them with RDF markup from mixed vocabularies. The gory details of providing LOD-compatible "cool" URIs will not be skipped, and current limitations of RDF support in Drupal will be explained. Exposing the data in a REST-ful application programming interface or as a SPARQL endpoint are additional options provided by Drupal modules. The workshop will also introduce modules such as Web Taxonomy, which allows linking to thesauri or authority files on the web via simple JSON-based autocomplete lookup. Finally, we will touch the upcoming Drupal 8 version. (Workshop announcement)
Constantly Under Construction: STW Thesaurus for Economics Linked Data Maint...
Talk at Dublin Core Libraries Community (Sep 5, 2013 in Lisbon). Includes a first draft of a version history for SKOS files - see project on https://github.com/jneubert/skos-history
More from Joachim Neubert (20)
Exploring and mapping the category system of the world‘s largest public press...
Exploring and mapping the category system of the world‘s largest public press...
Chancen und Herausforderungen einer komplementären Nutzung von GND und Wikidata
Chancen und Herausforderungen einer komplementären Nutzung von GND und Wikidata
Pressemappe 20. Jahrhundert: Personen- und Firmendossiers
Pressemappe 20. Jahrhundert: Personen- und Firmendossiers
Wikidata as a linking hub for knowledge organization systems? Integrating an ...
Wikidata as a linking hub for knowledge organization systems? Integrating an ...
Using Wikidata as an Authority for the SowiDataNet Research Data Repository
Using Wikidata as an Authority for the SowiDataNet Research Data Repository
Change Tracking in Knowledge Organization Systems with skos-history
Change Tracking in Knowledge Organization Systems with skos-history
Leveraging SKOS to trace the overhaul of the STW Thesaurus for Economics
Leveraging SKOS to trace the overhaul of the STW Thesaurus for Economics
skos-history: Tracking the evolution of Knowledge Organization Systems
skos-history: Tracking the evolution of Knowledge Organization Systems
Exploiting the version history of SKOS files: skos-history (SWIB13 Lightning ...
Exploiting the version history of SKOS files: skos-history (SWIB13 Lightning ...
Linked Data Publishing with Drupal (SWIB13 workshop)
Linked Data Publishing with Drupal (SWIB13 workshop)
Constantly Under Construction: STW Thesaurus for Economics Linked Data Maint...
Constantly Under Construction: STW Thesaurus for Economics Linked Data Maint...
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End-to-end pipeline agility - Berlin Buzzwords 2024
We describe how we achieve high change agility in data engineering by eliminating the fear of breaking downstream data pipelines through end-to-end pipeline testing, and by using schema metaprogramming to safely eliminate boilerplate involved in changes that affect whole pipelines.
A quick poll on agility in changing pipelines from end to end indicated a huge span in capabilities. For the question "How long time does it take for all downstream pipelines to be adapted to an upstream change," the median response was 6 months, but some respondents could do it in less than a day. When quantitative data engineering differences between the best and worst are measured, the span is often 100x-1000x, sometimes even more.
A long time ago, we suffered at Spotify from fear of changing pipelines due to not knowing what the impact might be downstream. We made plans for a technical solution to test pipelines end-to-end to mitigate that fear, but the effort failed for cultural reasons. We eventually solved this challenge, but in a different context. In this presentation we will describe how we test full pipelines effectively by manipulating workflow orchestration, which enables us to make changes in pipelines without fear of breaking downstream.
Making schema changes that affect many jobs also involves a lot of toil and boilerplate. Using schema-on-read mitigates some of it, but has drawbacks since it makes it more difficult to detect errors early. We will describe how we have rejected this tradeoff by applying schema metaprogramming, eliminating boilerplate but keeping the protection of static typing, thereby further improving agility to quickly modify data pipelines without fear.
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【关于价格问题（保证一手价格）】
我们所定的价格是非常合理的，而且我们现在做得单子大多数都是代理和回头客户介绍的所以一般现在有新的单子 我给客户的都是第一手的代理价格，因为我想坦诚对待大家 不想跟大家在价格方面浪费时间
对于老客户或者被老客户介绍过来的朋友，我们都会适当给一些优惠。
选择实体注册公司办理，更放心，更安全！我们的承诺：客户在留信官方认证查询网站查询到认证通过结果后付款，不成功不收费！
Global Situational Awareness of A.I. and where its headed
You can see the future first in San Francisco.
Over the past year, the talk of the town has shifted from $10 billion compute clusters to $100 billion clusters to trillion-dollar clusters. Every six months another zero is added to the boardroom plans. Behind the scenes, there’s a fierce scramble to secure every power contract still available for the rest of the decade, every voltage transformer that can possibly be procured. American big business is gearing up to pour trillions of dollars into a long-unseen mobilization of American industrial might. By the end of the decade, American electricity production will have grown tens of percent; from the shale fields of Pennsylvania to the solar farms of Nevada, hundreds of millions of GPUs will hum.
The AGI race has begun. We are building machines that can think and reason. By 2025/26, these machines will outpace college graduates. By the end of the decade, they will be smarter than you or I; we will have superintelligence, in the true sense of the word. Along the way, national security forces not seen in half a century will be un-leashed, and before long, The Project will be on. If we’re lucky, we’ll be in an all-out race with the CCP; if we’re unlucky, an all-out war.
Everyone is now talking about AI, but few have the faintest glimmer of what is about to hit them. Nvidia analysts still think 2024 might be close to the peak. Mainstream pundits are stuck on the wilful blindness of “it’s just predicting the next word”. They see only hype and business-as-usual; at most they entertain another internet-scale technological change.
Before long, the world will wake up. But right now, there are perhaps a few hundred people, most of them in San Francisco and the AI labs, that have situational awareness. Through whatever peculiar forces of fate, I have found myself amongst them. A few years ago, these people were derided as crazy—but they trusted the trendlines, which allowed them to correctly predict the AI advances of the past few years. Whether these people are also right about the next few years remains to be seen. But these are very smart people—the smartest people I have ever met—and they are the ones building this technology. Perhaps they will be an odd footnote in history, or perhaps they will go down in history like Szilard and Oppenheimer and Teller. If they are seeing the future even close to correctly, we are in for a wild ride.
Let me tell you what we see.
ViewShift: Hassle-free Dynamic Policy Enforcement for Every Data Lake
Dynamic policy enforcement is becoming an increasingly important topic in today’s world where data privacy and compliance is a top priority for companies, individuals, and regulators alike. In these slides, we discuss how LinkedIn implements a powerful dynamic policy enforcement engine, called ViewShift, and integrates it within its data lake. We show the query engine architecture and how catalog implementations can automatically route table resolutions to compliance-enforcing SQL views. Such views have a set of very interesting properties: (1) They are auto-generated from declarative data annotations. (2) They respect user-level consent and preferences (3) They are context-aware, encoding a different set of transformations for different use cases (4) They are portable; while the SQL logic is only implemented in one SQL dialect, it is accessible in all engines.
#SQL #Views #Privacy #Compliance #DataLake
在线办理(英国UCA毕业证书)创意艺术大学毕业证在读证明一模一样
学校原件一模一样【微信：741003700 】《(英国UCA毕业证书)创意艺术大学毕业证》【微信：741003700 】学位证，留信认证（真实可查，永久存档）原件一模一样纸张工艺/offer、雅思、外壳等材料/诚信可靠,可直接看成品样本，帮您解决无法毕业带来的各种难题！外壳，原版制作，诚信可靠，可直接看成品样本。行业标杆！精益求精，诚心合作，真诚制作！多年品质 ,按需精细制作，24小时接单,全套进口原装设备。十五年致力于帮助留学生解决难题，包您满意。
本公司拥有海外各大学样板无数，能完美还原。
1:1完美还原海外各大学毕业材料上的工艺：水印，阴影底纹，钢印LOGO烫金烫银，LOGO烫金烫银复合重叠。文字图案浮雕、激光镭射、紫外荧光、温感、复印防伪等防伪工艺。材料咨询办理、认证咨询办理请加学历顾问Q/微741003700
【主营项目】
一.毕业证【q微741003700】成绩单、使馆认证、教育部认证、雅思托福成绩单、学生卡等！
二.真实使馆公证(即留学回国人员证明,不成功不收费)
三.真实教育部学历学位认证（教育部存档！教育部留服网站永久可查）
四.办理各国各大学文凭(一对一专业服务,可全程监控跟踪进度)
如果您处于以下几种情况：
◇在校期间，因各种原因未能顺利毕业……拿不到官方毕业证【q/微741003700】
◇面对父母的压力，希望尽快拿到；
◇不清楚认证流程以及材料该如何准备；
◇回国时间很长，忘记办理；
◇回国马上就要找工作，办给用人单位看；
◇企事业单位必须要求办理的
◇需要报考公务员、购买免税车、落转户口
◇申请留学生创业基金
留信网认证的作用:
1:该专业认证可证明留学生真实身份
2:同时对留学生所学专业登记给予评定
3:国家专业人才认证中心颁发入库证书
4:这个认证书并且可以归档倒地方
5:凡事获得留信网入网的信息将会逐步更新到个人身份内，将在公安局网内查询个人身份证信息后，同步读取人才网入库信息
6:个人职称评审加20分
7:个人信誉贷款加10分
8:在国家人才网主办的国家网络招聘大会中纳入资料，供国家高端企业选择人才
The Ipsos - AI - Monitor 2024 Report.pdf
According to Ipsos AI Monitor's 2024 report, 65% Indians said that products and services using AI have profoundly changed their daily life in the past 3-5 years.
The Building Blocks of QuestDB, a Time Series Database
Talk Delivered at Valencia Codes Meetup 2024-06.
Traditionally, databases have treated timestamps just as another data type. However, when performing real-time analytics, timestamps should be first class citizens and we need rich time semantics to get the most out of our data. We also need to deal with ever growing datasets while keeping performant, which is as fun as it sounds.
It is no wonder time-series databases are now more popular than ever before. Join me in this session to learn about the internal architecture and building blocks of QuestDB, an open source time-series database designed for speed. We will also review a history of some of the changes we have gone over the past two years to deal with late and unordered data, non-blocking writes, read-replicas, or faster batch ingestion.
Analysis insight about a Flyball dog competition team's performance
Insight of my analysis about a Flyball dog competition team's last year performance. Find more: https://github.com/rolandnagy-ds/flyball_race_analysis/tree/main
原版制作(unimelb毕业证书)墨尔本大学毕业证Offer一模一样
学校原件一模一样【微信：741003700 】《(unimelb毕业证书)墨尔本大学毕业证》【微信：741003700 】学位证，留信认证（真实可查，永久存档）原件一模一样纸张工艺/offer、雅思、外壳等材料/诚信可靠,可直接看成品样本，帮您解决无法毕业带来的各种难题！外壳，原版制作，诚信可靠，可直接看成品样本。行业标杆！精益求精，诚心合作，真诚制作！多年品质 ,按需精细制作，24小时接单,全套进口原装设备。十五年致力于帮助留学生解决难题，包您满意。
本公司拥有海外各大学样板无数，能完美还原。
1:1完美还原海外各大学毕业材料上的工艺：水印，阴影底纹，钢印LOGO烫金烫银，LOGO烫金烫银复合重叠。文字图案浮雕、激光镭射、紫外荧光、温感、复印防伪等防伪工艺。材料咨询办理、认证咨询办理请加学历顾问Q/微741003700
【主营项目】
一.毕业证【q微741003700】成绩单、使馆认证、教育部认证、雅思托福成绩单、学生卡等！
二.真实使馆公证(即留学回国人员证明,不成功不收费)
三.真实教育部学历学位认证（教育部存档！教育部留服网站永久可查）
四.办理各国各大学文凭(一对一专业服务,可全程监控跟踪进度)
如果您处于以下几种情况：
◇在校期间，因各种原因未能顺利毕业……拿不到官方毕业证【q/微741003700】
◇面对父母的压力，希望尽快拿到；
◇不清楚认证流程以及材料该如何准备；
◇回国时间很长，忘记办理；
◇回国马上就要找工作，办给用人单位看；
◇企事业单位必须要求办理的
◇需要报考公务员、购买免税车、落转户口
◇申请留学生创业基金
留信网认证的作用:
1:该专业认证可证明留学生真实身份
2:同时对留学生所学专业登记给予评定
3:国家专业人才认证中心颁发入库证书
4:这个认证书并且可以归档倒地方
5:凡事获得留信网入网的信息将会逐步更新到个人身份内，将在公安局网内查询个人身份证信息后，同步读取人才网入库信息
6:个人职称评审加20分
7:个人信誉贷款加10分
8:在国家人才网主办的国家网络招聘大会中纳入资料，供国家高端企业选择人才
DSSML24_tspann_CodelessGenerativeAIPipelines
Codeless Generative AI Pipelines
(GenAI with Milvus)
https://ml.dssconf.pl/user.html#!/lecture/DSSML24-041a/rate
Discover the potential of real-time streaming in the context of GenAI as we delve into the intricacies of Apache NiFi and its capabilities. Learn how this tool can significantly simplify the data engineering workflow for GenAI applications, allowing you to focus on the creative aspects rather than the technical complexities. I will guide you through practical examples and use cases, showing the impact of automation on prompt building. From data ingestion to transformation and delivery, witness how Apache NiFi streamlines the entire pipeline, ensuring a smooth and hassle-free experience.
Timothy Spann
https://www.youtube.com/@FLaNK-Stack
https://medium.com/@tspann
https://www.datainmotion.dev/
milvus, unstructured data, vector database, zilliz, cloud, vectors, python, deep learning, generative ai, genai, nifi, kafka, flink, streaming, iot, edge
一比一原版(UCSF文凭证书)旧金山分校毕业证如何办理
毕业原版【微信:176555708】【(UCSF毕业证书)旧金山分校毕业证】【微信:176555708】成绩单、外壳、offer、留信学历认证（永久存档真实可查）采用学校原版纸张、特殊工艺完全按照原版一比一制作（包括：隐形水印，阴影底纹，钢印LOGO烫金烫银，LOGO烫金烫银复合重叠，文字图案浮雕，激光镭射，紫外荧光，温感，复印防伪）行业标杆！精益求精，诚心合作，真诚制作！多年品质 ,按需精细制作，24小时接单,全套进口原装设备，十五年致力于帮助留学生解决难题，业务范围有加拿大、英国、澳洲、韩国、美国、新加坡，新西兰等学历材料，包您满意。
【我们承诺采用的是学校原版纸张（纸质、底色、纹路），我们拥有全套进口原装设备，特殊工艺都是采用不同机器制作，仿真度基本可以达到100%，所有工艺效果都可提前给客户展示，不满意可以根据客户要求进行调整，直到满意为止！】
【业务选择办理准则】
一、工作未确定，回国需先给父母、亲戚朋友看下文凭的情况，办理一份就读学校的毕业证【微信176555708】文凭即可
二、回国进私企、外企、自己做生意的情况，这些单位是不查询毕业证真伪的，而且国内没有渠道去查询国外文凭的真假，也不需要提供真实教育部认证。鉴于此，办理一份毕业证【微信176555708】即可
三、进国企，银行，事业单位，考公务员等等，这些单位是必需要提供真实教育部认证的，办理教育部认证所需资料众多且烦琐，所有材料您都必须提供原件，我们凭借丰富的经验，快捷的绿色通道帮您快速整合材料，让您少走弯路。
留信网认证的作用:
1:该专业认证可证明留学生真实身份
2:同时对留学生所学专业登记给予评定
3:国家专业人才认证中心颁发入库证书
4:这个认证书并且可以归档倒地方
5:凡事获得留信网入网的信息将会逐步更新到个人身份内，将在公安局网内查询个人身份证信息后，同步读取人才网入库信息
6:个人职称评审加20分
7:个人信誉贷款加10分
8:在国家人才网主办的国家网络招聘大会中纳入资料，供国家高端企业选择人才
留信网服务项目：
1、留学生专业人才库服务（留信分析）
2、国（境）学习人员提供就业推荐信服务
3、留学人员区块链存储服务
→ 【关于价格问题（保证一手价格）】
我们所定的价格是非常合理的，而且我们现在做得单子大多数都是代理和回头客户介绍的所以一般现在有新的单子 我给客户的都是第一手的代理价格，因为我想坦诚对待大家 不想跟大家在价格方面浪费时间
对于老客户或者被老客户介绍过来的朋友，我们都会适当给一些优惠。
选择实体注册公司办理，更放心，更安全！我们的承诺：客户在留信官方认证查询网站查询到认证通过结果后付款，不成功不收费！
Experts live - Improving user adoption with AI
Bekijk de slides van onze sessie Enhancing Modern Workplace Efficiency op Experts Live 2024.
STATATHON: Unleashing the Power of Statistics in a 48-Hour Knowledge Extravag...
"Join us for STATATHON, a dynamic 2-day event dedicated to exploring statistical knowledge and its real-world applications. From theory to practice, participants engage in intensive learning sessions, workshops, and challenges, fostering a deeper understanding of statistical methodologies and their significance in various fields."
Open Source Contributions to Postgres: The Basics POSETTE 2024
Postgres is the most advanced open-source database in the world and it's supported by a community, not a single company. So how does this work? How does code actually get into Postgres? I recently had a patch submitted and committed and I want to share what I learned in that process. I’ll give you an overview of Postgres versions and how the underlying project codebase functions. I’ll also show you the process for submitting a patch and getting that tested and committed.
Intelligence supported media monitoring in veterinary medicine
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Predictably Improve Your B2B Tech Company's Performance by Leveraging Data
Harness the power of AI-backed reports, benchmarking and data analysis to predict trends and detect anomalies in your marketing efforts.
Peter Caputa, CEO at Databox, reveals how you can discover the strategies and tools to increase your growth rate (and margins!).
From metrics to track to data habits to pick up, enhance your reporting for powerful insights to improve your B2B tech company's marketing.
- - -
This is the webinar recording from the June 2024 HubSpot User Group (HUG) for B2B Technology USA.
Watch the video recording at https://youtu.be/5vjwGfPN9lw
Sign up for future HUG events at https://events.hubspot.com/b2b-technology-usa/
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- 1. Making Wikidata fit as a Linking Hub for Knowledge Organization Systems Joachim Neubert ZBW – Leibniz Information Centre for Economics, Kiel/Hamburg ELAG 2018, Prague 6.6.2018
- 2. Wikidata as a linking hub Page 2
- 3. New qualifier “mapping relation type” (P4390) Optionally qualify any external property relation by one of the SKOS mapping relation types (exactMatch, closeMatch, narrowMatch, etc.) Page 3
- 4. Usage by relation type and by external-id property https://www.wikidata.org/wiki/Wikidata:Database_reports/Constraint_violations/P4390 Page 4
- 5. Page 5 Thanks for listening! Joachim Neubert ZBW – Leibniz Information Centre for Economics j.neubert@zbw.eu https://www.wikidata.org/wiki/Property:P4390 http://zbw.eu/labs https://github.com/zbw/sparql-queries/tree/master/wikidata http://ceur-ws.org/Vol-1937/paper2.pdf