What is Linked Data?
Presented at the Linked Data for Libraries on Thursday, November 6, 2014 at Trinity College Dublin
http://www.dri.ie/linked-data-libraries
This presentation was delivered by Gloria Gonzalez of Zepheira during the NISO Virtual Conference, BIBFRAME & Real World Applications of Linked Bibliographic Data, held on June 15, 2016.
Usage of Linked Data: Introduction and Application ScenariosEUCLID project
This presentation introduces the main principles of Linked Data, the underlying technologies and background standards. It provides basic knowledge for how data can be published over the Web, how it can be queried, and what are the possible use cases and benefits. As an example, we use the development of a music portal (based on the MusicBrainz dataset), which facilitates access to a wide range of information and multimedia resources relating to music.
This presentation was delivered by Gloria Gonzalez of Zepheira during the NISO Virtual Conference, BIBFRAME & Real World Applications of Linked Bibliographic Data, held on June 15, 2016.
Usage of Linked Data: Introduction and Application ScenariosEUCLID project
This presentation introduces the main principles of Linked Data, the underlying technologies and background standards. It provides basic knowledge for how data can be published over the Web, how it can be queried, and what are the possible use cases and benefits. As an example, we use the development of a music portal (based on the MusicBrainz dataset), which facilitates access to a wide range of information and multimedia resources relating to music.
Libraries around the world have a long tradition of maintaining authority files to assure the consistent presentation and indexing of names. As library authority files have become available online, the authority data has become accessible -- and many have been published as Linked Open Data (LOD) -- but names in one library authority file typically had no link to corresponding records for persons and organizations in other library authority files. After a successful experiment in matching the Library of Congress/NACO authority file with the German National Library's authority file, an online system called the Virtual International Authority File was developed to facilitate sharing by ingesting, matching, and displaying the relations between records in multiple authority files.
The Virtual International Authority File (VIAF) has grown from three source files in 2007 to more than two dozen files today. The system harvests authority records, enhances them with bibliographic information and brings them together into clusters when it is confident the records describe the same identity. Although the most visible part of VIAF is a HTML interface, the API beneath it supports a linked data view of VIAF with URIs representing the identities themselves, not just URIs for the clusters. It supports names for person, corporations, geographic entities, works, and expressions. With English, French, German, Spanish interfaces (and a Japanese in process), the system is used around the world, with over a million queries per day.
Speaker
Thomas Hickey is Chief Scientist at OCLC where he helped found OCLC Research. Current interests include metadata creation and editing systems, authority control, parallel systems for bibliographic processing, and information retrieval and display. In addition to implementing VIAF, his group looks into exploring Web access to metadata, identification of FRBR works and expressions in WorldCat, the algorithmic creation of authorities, and the characterization of collections. He has an undergraduate degree in Physics and a Ph.D. in Library and Information Science.
Talk about Exploring the Semantic Web, and particularly Linked Data, and the Rhizomer approach. Presented August 14th 2012 at the SRI AIC Seminar Series, Menlo Park, CA
This tutorial explains the Data Web vision, some preliminary standards and technologies as well as some tools and technological building blocks developed by AKSW research group from Universität Leipzig.
It19 20140721 linked data personal perspectiveJanifer Gatenby
A presentation made for Standards Australia's seminar. Outlines the basic aspects of linked data from a personal perspective and where it fits with direct and subject searching.
Slides used for a presentation at the CNI 2013 Fall meeting. Discusses the problem domain of the Hiberlink project, a collaboration between the Los Alamos National Laboratory and the University of Edinburgh, funded by the Andrew W. Mellon Foundation. Hiberlink investigates reference rot in web-based scholarly communication.
This presentation was given by Tim Thompson of Princeton University during the NISO Virtual Conference, BIBFRAME & Real World Applications for Linked Bibliographic Data, held on June 15, 2016.
Development of Semantic Web based Disaster Management SystemNIT Durgapur
Semantic Web model In the field of disaster management to structurise the data such that any information needed during emergency will be easily available.
IWMW 2003: Semantic Web Technologies for UK HE and FE Institutions (Part 2)IWMW
Slides for plenary talk on "Semantic Web Technologies for UK HE and FE Institutions" given by Dave Beckett and Brian Kelly at the IWMW 2003 event held at the University of Kent on 11-13 June 2003.
See http://www.ukoln.ac.uk/web-focus/events/workshops/webmaster-2003/sessions/#talk-5
Linked Data Implementations—Who, What and Why?OCLC
Presented at the CNI Spring Membership Meeting in San Antonio, Texas 4 April 2016. OCLC Research conducted an International Linked Data Survey for Implementers in 2014 and 2015, receiving responses from a total of 90 institutions in 20 countries. In the 2015 survey, 112 projects or services that consumed or published linked data were described (compared to 76 in 2014). This presentation summarizes the 2015 survey results: 1) which institutions have implemented or are implementing linked data; 2) what linked data sources institutions are consuming, and why; 3) what institutions are publishing, and why; 4) barriers and advice from the implementers.
A Computational Space for the Web of ThingsSimon Mayer
The expansion of the World Wide Web to include information that is generated by physical devices with embedded sensing and actuation capabilities entails a surge of high-frequency real-time data that is mostly published without further processing in its raw form. To derive "smart" decisions from this data and thus use it to enable a "smart world" requires the distilling of more abstract, higher-level knowledge from it. We propose the concept of a computational marketplace as a framework to enable the analysis and aggregation of real-time data. Here, multiple tiers of hyperlinked algorithms from different providers interact to refine data within computational graphs, which are linked structures of cascaded processing steps. In the associated paper, S. Mayer and D. Karam, A Computational Space for the Web of Things, we present an analysis of the key constraints on such a framework and provide a corresponding implementation as well as results from evaluations in an experimental use case scenario.
Libraries around the world have a long tradition of maintaining authority files to assure the consistent presentation and indexing of names. As library authority files have become available online, the authority data has become accessible -- and many have been published as Linked Open Data (LOD) -- but names in one library authority file typically had no link to corresponding records for persons and organizations in other library authority files. After a successful experiment in matching the Library of Congress/NACO authority file with the German National Library's authority file, an online system called the Virtual International Authority File was developed to facilitate sharing by ingesting, matching, and displaying the relations between records in multiple authority files.
The Virtual International Authority File (VIAF) has grown from three source files in 2007 to more than two dozen files today. The system harvests authority records, enhances them with bibliographic information and brings them together into clusters when it is confident the records describe the same identity. Although the most visible part of VIAF is a HTML interface, the API beneath it supports a linked data view of VIAF with URIs representing the identities themselves, not just URIs for the clusters. It supports names for person, corporations, geographic entities, works, and expressions. With English, French, German, Spanish interfaces (and a Japanese in process), the system is used around the world, with over a million queries per day.
Speaker
Thomas Hickey is Chief Scientist at OCLC where he helped found OCLC Research. Current interests include metadata creation and editing systems, authority control, parallel systems for bibliographic processing, and information retrieval and display. In addition to implementing VIAF, his group looks into exploring Web access to metadata, identification of FRBR works and expressions in WorldCat, the algorithmic creation of authorities, and the characterization of collections. He has an undergraduate degree in Physics and a Ph.D. in Library and Information Science.
Talk about Exploring the Semantic Web, and particularly Linked Data, and the Rhizomer approach. Presented August 14th 2012 at the SRI AIC Seminar Series, Menlo Park, CA
This tutorial explains the Data Web vision, some preliminary standards and technologies as well as some tools and technological building blocks developed by AKSW research group from Universität Leipzig.
It19 20140721 linked data personal perspectiveJanifer Gatenby
A presentation made for Standards Australia's seminar. Outlines the basic aspects of linked data from a personal perspective and where it fits with direct and subject searching.
Slides used for a presentation at the CNI 2013 Fall meeting. Discusses the problem domain of the Hiberlink project, a collaboration between the Los Alamos National Laboratory and the University of Edinburgh, funded by the Andrew W. Mellon Foundation. Hiberlink investigates reference rot in web-based scholarly communication.
This presentation was given by Tim Thompson of Princeton University during the NISO Virtual Conference, BIBFRAME & Real World Applications for Linked Bibliographic Data, held on June 15, 2016.
Development of Semantic Web based Disaster Management SystemNIT Durgapur
Semantic Web model In the field of disaster management to structurise the data such that any information needed during emergency will be easily available.
IWMW 2003: Semantic Web Technologies for UK HE and FE Institutions (Part 2)IWMW
Slides for plenary talk on "Semantic Web Technologies for UK HE and FE Institutions" given by Dave Beckett and Brian Kelly at the IWMW 2003 event held at the University of Kent on 11-13 June 2003.
See http://www.ukoln.ac.uk/web-focus/events/workshops/webmaster-2003/sessions/#talk-5
Linked Data Implementations—Who, What and Why?OCLC
Presented at the CNI Spring Membership Meeting in San Antonio, Texas 4 April 2016. OCLC Research conducted an International Linked Data Survey for Implementers in 2014 and 2015, receiving responses from a total of 90 institutions in 20 countries. In the 2015 survey, 112 projects or services that consumed or published linked data were described (compared to 76 in 2014). This presentation summarizes the 2015 survey results: 1) which institutions have implemented or are implementing linked data; 2) what linked data sources institutions are consuming, and why; 3) what institutions are publishing, and why; 4) barriers and advice from the implementers.
A Computational Space for the Web of ThingsSimon Mayer
The expansion of the World Wide Web to include information that is generated by physical devices with embedded sensing and actuation capabilities entails a surge of high-frequency real-time data that is mostly published without further processing in its raw form. To derive "smart" decisions from this data and thus use it to enable a "smart world" requires the distilling of more abstract, higher-level knowledge from it. We propose the concept of a computational marketplace as a framework to enable the analysis and aggregation of real-time data. Here, multiple tiers of hyperlinked algorithms from different providers interact to refine data within computational graphs, which are linked structures of cascaded processing steps. In the associated paper, S. Mayer and D. Karam, A Computational Space for the Web of Things, we present an analysis of the key constraints on such a framework and provide a corresponding implementation as well as results from evaluations in an experimental use case scenario.
A RESTful and Decentralised Implementation of Open Objects
Dice Lab, Royal Holloway University of London
Paulo Ricca, Kostas Stathis
paper: http://www.webofthings.org/wot/2013/papers/wot3-ricca.pdf
Trendy service discovery protocol at WoT 2012Talal Butt
We propose, trendy, a new registry-based Service Discovery protocol with context awareness. It uses CoAP-based RESTful web services to provide a standard interoperable interface which can be easily translated from HTTP. In addition, trendy introduces an adaptive timer and grouping mechanism to minimise control overhead and energy consumption. Trendy ’s grouping is based on location tags to localise status maintenance traffic and to compose and offer new group based services. Our simulation results show that trendy techniques reduce the control traffic considerably and also reduce the energy consumption, while offering the optimal service selection.
Towards a Project Centric Metadata Model and Lifecycle for Ontology Mapping G...Christophe Debruyne
Christophe Debruyne, Brian Walshe, Declan O'Sullivan: Towards a Project Centric Metadata Model and Lifecycle for Ontology Mapping Governance. Paper presented at iiWAS 2015 on the 13th of December 2015, Brussels, Belgium.
Providing open data is of interest for its societal and commercial value, for transparency, and because more people can do fun things with data. There is a growing number of initiatives to provide open data, from, for example, the UK government and the World Bank. However, much of this data is provided in formats such as Excel files, or even PDF files. This raises the question of
- How best to provide access to data so it can be most easily reused?
- How to enable the discovery of relevant data within the multitude of available data sets?
- How to enable applications to integrate data from large numbers of formerly unknown data sources?
One way to address these issues to to use the design principles of linked data (http://www.w3.org/DesignIssues/LinkedData.html), which suggest best practices for how to publish and connect structured data on the Web. This presentation gives an overview of linked data technologies (such as RDF and SPARQL), examples of how they can be used, as well as some starting points for people who want to provide and use linked data.
The presentation was given on August 8, at the Hacknight event (http://hacknight.se/) of Forskningsavdelningen (http://forskningsavd.se/) (Swedish: “Research Department”) a hackerspace in Malmö.
Overview of how data on the Web of Data can be consumed (first and foremost Linked Data) and implications for the development of usage mining approaches.
References:
Elbedweihy, K., Mazumdar, S., Cano, A. E., Wrigley, S. N., & Ciravegna, F. (2011). Identifying Information Needs by Modelling Collective Query Patterns. COLD, 782.
Elbedweihy, K., Wrigley, S. N., & Ciravegna, F. (2012). Improving Semantic Search Using Query Log Analysis. Interacting with Linked Data (ILD 2012), 61.
Raghuveer, A. (2012). Characterizing machine agent behavior through SPARQL query mining. In Proceedings of the International Workshop on Usage Analysis and the Web of Data, Lyon, France.
Arias, M., Fernández, J. D., Martínez-Prieto, M. A., & de la Fuente, P. (2011). An empirical study of real-world SPARQL queries. arXiv preprint arXiv:1103.5043.
Hartig, O., Bizer, C., & Freytag, J. C. (2009). Executing SPARQL queries over the web of linked data (pp. 293-309). Springer Berlin Heidelberg.
Verborgh, R., Hartig, O., De Meester, B., Haesendonck, G., De Vocht, L., Vander Sande, M., ... & Van de Walle, R. (2014). Querying datasets on the web with high availability. In The Semantic Web–ISWC 2014 (pp. 180-196). Springer International Publishing.
Verborgh, R., Vander Sande, M., Colpaert, P., Coppens, S., Mannens, E., & Van de Walle, R. (2014, April). Web-Scale Querying through Linked Data Fragments. In LDOW.
Luczak-Rösch, M., & Bischoff, M. (2011). Statistical analysis of web of data usage. In Joint Workshop on Knowledge Evolution and Ontology Dynamics (EvoDyn2011), CEUR WS.
Luczak-Rösch, M. (2014). Usage-dependent maintenance of structured Web data sets (Doctoral dissertation, Freie Universität Berlin, Germany), http://edocs.fu-berlin.de/diss/receive/FUDISS_thesis_000000096138.
This is part 2 of the ISWC 2009 tutorial on the GoodRelations ontology and RDFa for e-commerce on the Web of Linked Data.
See also
http://www.ebusiness-unibw.org/wiki/Web_of_Data_for_E-Commerce_Tutorial_ISWC2009
This is part 2 of the ISWC 2009 tutorial on the GoodRelations ontology and RDFa for e-commerce on the Web of Linked Data.
See also
http://www.ebusiness-unibw.org/wiki/Web_of_Data_for_E-Commerce_Tutorial_ISWC2009
TPDL2013 tutorial linked data for digital libraries 2013-10-22jodischneider
Tutorial on Linked Data for Digital Libraries, given by me, Uldis Bojars, and Nuno Lopes in Valletta, Malta at TPDL2013 on 2013-10-22.
http://tpdl2013.upatras.gr/tut-lddl.php
This half-day tutorial is aimed at academics and practitioners interested in creating and using Library Linked Data. Linked Data has been embraced as the way to bring complex information onto the Web, enabling discoverability while maintaining the richness of the original data. This tutorial will offer participants an overview of how digital libraries are already using Linked Data, followed by a more detailed exploration of how to publish, discover and consume Linked Data. The practical part of the tutorial will include hands-on exercises in working with Linked Data and will be based on two main case studies: (1) linked authority data and VIAF; (2) place name information as Linked Data.
For practitioners, this tutorial provides a greater understanding of what Linked Data is, and how to prepare digital library materials for conversion to Linked Data. For researchers, this tutorial updates the state of the art in digital libraries, while remaining accessible to those learning Linked
Data principles for the first time. For library and iSchool instructors, the tutorial provides a valuable introduction to an area of growing interest for information organization curricula. For digital library project managers, this tutorial provides a deeper understanding of the principles of Linked Data, which is needed for bespoke projects that involve data mapping and the reuse of existing metadata models.
IFLA LIDASIG Open Session 2017: Introduction to Linked DataLars G. Svensson
At the IFLA Linked Data Special Interest Group open session in Wroclaw we briefly introduced the mission of the SIG and then went on to a brief introduction to what linked data is and why that topic is important to libraries.
The presentation was held jointly by Astrid Verheusen (general introduction to the SIG) and Lars G. Svensson (introduction to Linked Data)
Slides from my workshop at Open Repositories 2016 about DSpace's Linked Data support. The slides include a short introduction into the Semantic Web and Linked Data, the main ideas behind the Linked Data support of DSpace, information on how to configure this feature and some examples about how to query DSpace installations for Linked Data.
morning session talk at the second Keystone Training School "Keyword search in Big Linked Data" held in Santiago de Compostela.
https://eventos.citius.usc.es/keystone.school/
BURPing Through RML Test Cases (presented at KGC Workshop @ ESWC 2024)KGChristophe Debruyne
Recently, the W3C Community Group on Knowledge Graph Construction created a suite of test cases for all RML modules developed in the Community Group to verify implementations’ compliance with the new RML specifications. However, these RML test cases could not be tested because no existing RML Processor supports them. In this paper, we report on our process of testing the new RML test cases while at the same time implementing support for the new RML modules in a reference implementation, which we call `BURP' (Basic and Unassuming RML Processor), to investigate the feasibility and possible mistakes of the new RML test cases and specifications. We found several problems in the RML modules, ranging from mismatches between the test cases and their specification and invalid SHACL shapes to edge cases not covered by the specifications. Through this work, we improve the quality of RML test cases and the coverage of their corresponding specifications to increase adoption and conformance among RML Processors.
One year of DALIDA Data Literacy Workshops for Adults: a ReportChristophe Debruyne
Christophe Debruyne, Laura Grehan, Mairéad Hurley, Anne Kearns, Ciaran O'Neill. One year of DALIDA Data Literacy Workshops for Adults: a Report. In Frédérique Laforest, Raphaël Troncy, Elena Simperl, Deepak Agarwal, Aristides Gionis, Ivan Herman, and Lionel Médini, editors, Companion of The Web Conference 2022, Virtual Event / Lyon, France, April 25 - 29, 2022, pages 403-407. ACM, 2022
Projet TOXIN : Des graphes de connaissances pour la recherche en toxicologieChristophe Debruyne
Christophe Debruyne. Projet TOXIN : Des graphes de connaissances pour la recherche en toxicologie. INRS Symposium on "L'informatique au service de l'évaluation du risque chimique" (10 November 2022, Nancy, France)
Knowledge Graphs: Concept, mogelijkheden en aandachtspuntenChristophe Debruyne
Kennis en informatie in een bedrijfsorganisatorische context zijn doorgaans versnipperd en verspreid over databases, rekenbladen, documenten, etc. Daarnaast bezitten kenniswerkers ook domeinexpertise die niet in een systeem wordt opgeslagen. Maar wat als men die kennis en informatie wenst te integreren om, bijvoorbeeld, processen te automatiseren of nieuwe inzichten te verwerven?
Knowledge graphs bieden hiervoor een oplossing. In deze presentatie werpt Christophe Debruyne zijn licht op het concept van de knowledge graphs en hun mogelijkheden. Hij behandelt daarvoor de volgende punten:
Wat is een knowledge graph?
Knowledge graphs versus andere initiatieven
Knowledge graphs versus andere AI technieken
Toepassingsgebied van knowledge graphs
Bouwen en onderhouden van een knowledge graph
SAI.be avondseminarie van 16-11-2021
Reusable SHACL Constraint Components for Validating Geospatial Linked DataChristophe Debruyne
Reusable SHACL Constraint Components for Validating Geospatial Linked Data. Paper presented at the 4th International Workshop on Geospatial Linked Data (GeoLD 2021)
Dr Christophe Debruyne and Dr Lynn Kilgallon showcase this exciting Computer Science research strand in Beyond 2022’s work, demonstrating its potential for changing the questions we can ask of the recovered records, and the hidden stories it can reveal.
Facilitating Data Curation: a Solution Developed in the Toxicology DomainChristophe Debruyne
Christophe Debruyne, Jonathan Riggio, Emma Gustafson, Declan O'Sullivan, Mathieu Vinken, Tamara Vanhaecke, Olga De Troyer.
Presented at the 2020 IEEE 14th International Conference on Semantic Computing, San Diego, California, 3-5 February 2020
Toxicology aims to understand the adverse effects of
chemical compounds or physical agents on living organisms. For
chemicals, much information regarding safety testing of cosmetic
ingredients is now scattered in a plethora of safety evaluation
reports. Toxicologists in our university intend to collect this
information into a single repository. Their current approach uses
spreadsheets, does not scale well, and makes data curation and
querying cumbersome. Semantic technologies (e.g., RDF, OWL,
and Linked Data principles) would be more appropriate for
this purpose. However, this technology is not very accessible to
toxicologists without extensive training. In this paper, we report
on a tool that supports subject matter experts in the construction
of an RDF–based knowledge base for the toxicology domain. The
tool is using the jigsaw metaphor for guiding the subject matter
experts. We demonstrate that the jigsaw metaphor is a viable
option for generating RDF. Future work includes investigating
appropriate methods and tools for knowledge evolution and data
analysis.
Linked Data Publication and Interlinking Research within the SFI funded ADAPT...Christophe Debruyne
Linked Data Publication and Interlinking Research within the SFI funded ADAPT Centre. This presentation was given at the LIBER LOD workshop during the 48th LIBER Annual Conference is in Dublin, 26-28 June 2019.
"Towards GeneratingPolicy-compliant Datasets" by Christophe Debruyne, Harshvardhan J. Pandit, Dave Lewis, Declan O’Sullivan. Presented at the The 13th IEEE International Conference on SEMANTIC COMPUTING
Jan 30 - Feb 1, 2019, Newport Beach, California
"Towards GeneratingPolicy-compliant Datasets" by Christophe Debruyne, Harshvardhan J. Pandit, Dave Lewis, Declan O’Sullivan. Presented at the The 13th IEEE International Conference on SEMANTIC COMPUTING
Jan 30 - Feb 1, 2019, Newport Beach, California
Generating Executable Mappings from RDF Data Cube Data Structure DefinitionsChristophe Debruyne
Data processing is increasingly the subject of various internal and external regulations, such as GDPR which has recently come into effect. Instead of assuming that such processes avail of data sources (such as files and relational databases), we approach the problem in a more abstract manner and view these processes as taking datasets as input. These datasets are then created by pulling data from various data sources. Taking a W3C Recommendation for prescribing the structure of and for describing datasets, we investigate an extension of that vocabulary for the generation of executable R2RML mappings. This results in a top-down approach where one prescribes the dataset to be used by a data process and where to find the data, and where that prescription is subsequently used to retrieve the data for the creation of the dataset “just in time”. We argue that this approach to the generation of an R2RML mapping from a dataset description is the first step towards policy-aware mappings, where the generation takes into account regulations to generate mappings that are compliant. In this paper, we describe how one can obtain an R2RML mapping from a data structure definition in a declarative manner using SPARQL CONSTRUCT queries, and demonstrate it using a running example. Some of the more technical aspects are also described.
Reference: Christophe Debruyne, Dave Lewis, Declan O'Sullivan: Generating Executable Mappings from RDF Data Cube Data Structure Definitions. OTM Conferences (2) 2018: 333-350
A Lightweight Approach to Explore, Enrich and Use Data with a Geospatial Dime...Christophe Debruyne
Paper presentation: Christophe Debruyne, Kris McGlinn, Lorraine McNerney and Declan O'Sullivan: A Lightweight Approach to Explore, Enrich and Use Data with a Geospatial Dimension with Semantic Web Technologies. Presented at the Fourth International ACM SIGMOD Workshop on Managing and Mining Enriched Geo-Spatial Data GeoRich 2017 Co-located with SIGMOD/PODS 2017 in Chicago, IL, USA
Client-side Processing of GeoSPARQL Functions with Triple Pattern FragmentsChristophe Debruyne
Christophe Debruyne, Éamonn Clinton, Declan O'Sullivan: Client-side Processing of GeoSPARQL Functions with Triple Pattern Fragments. Presented at the Linked Data on the Web (LDOW 2017), colocated with the 26th International World Wide Web Conference, 2017 (WWW 2017)
Available at: http://events.linkeddata.org/ldow2017/papers/LDOW_2017_paper_8.pdf
Presentation about the collaboration between ADAPT and the Ordnance Survey Ireland at Linked Data Seminar -- Culture, Base Registries & Visualisations held in Amsterdam, The Netherlands on the 2nd of December 2016
Serving Ireland's Geospatial Information as Linked Data (ISWC 2016 Poster)Christophe Debruyne
Christophe Debruyne, Eamonn Clinton, Lorraine McNerney, Atul Nautiyal, Declan O'Sullivan:
Serving Ireland's Geospatial Information as Linked Data. International Semantic Web Conference (Posters & Demos) 2016
We present data.geohive.ie, which aims to provide an authoritative
platform for serving Ireland’s national geospatial data, including Linked Data. Currently, the platform provides information on Irish administrative boundaries and was designed to support two use cases: serving boundary data of geographic features at various level of detail and capturing the evolution of administrative boundaries. We report on the decisions taken for modeling and serving the data such as the adoption of an appropriate URI strategy, the development of necessary ontologies, and the use of (named) graphs to support aforementioned use cases.
http://ceur-ws.org/Vol-1690/paper14.pdf
R2RML-F: Towards Sharing and Executing Domain Logic in R2RML MappingsChristophe Debruyne
Christophe Debruyne and Declan O'Sullivan: R2RML-F: Towards Sharing and Executing Domain Logic in R2RML Mappings
Paper presented at Linked Data on the Web (LDOW2016, collocated with WWW2016)
http://events.linkeddata.org/ldow2016/papers/LDOW2016_paper_14.pdf
Creating and Consuming Metadata from Transcribed Historical Vital Records for...Christophe Debruyne
Dolores Grant, Christophe Debruyne, Rebecca Grant, Sandra Collins:
Creating and Consuming Metadata from Transcribed Historical Vital Records for Ingestion in a Long-Term Digital Preservation Platform - (Short Paper). OTM Workshops 2015: 445-450
Using Semantic Technologies to Create Virtual Families from Historical Vital ...Christophe Debruyne
"Using Semantic Technologies to Create Virtual Families from Historical Vital Records" Presented at the 1st European Ontology Network (EUON) Workshop collocated with EUDAT 2014. Presentation was given in Amsterdam, The Netherlands on the 25th of September, 2014.
GraphRAG is All You need? LLM & Knowledge GraphGuy Korland
Guy Korland, CEO and Co-founder of FalkorDB, will review two articles on the integration of language models with knowledge graphs.
1. Unifying Large Language Models and Knowledge Graphs: A Roadmap.
https://arxiv.org/abs/2306.08302
2. Microsoft Research's GraphRAG paper and a review paper on various uses of knowledge graphs:
https://www.microsoft.com/en-us/research/blog/graphrag-unlocking-llm-discovery-on-narrative-private-data/
"Impact of front-end architecture on development cost", Viktor TurskyiFwdays
I have heard many times that architecture is not important for the front-end. Also, many times I have seen how developers implement features on the front-end just following the standard rules for a framework and think that this is enough to successfully launch the project, and then the project fails. How to prevent this and what approach to choose? I have launched dozens of complex projects and during the talk we will analyze which approaches have worked for me and which have not.
JMeter webinar - integration with InfluxDB and GrafanaRTTS
Watch this recorded webinar about real-time monitoring of application performance. See how to integrate Apache JMeter, the open-source leader in performance testing, with InfluxDB, the open-source time-series database, and Grafana, the open-source analytics and visualization application.
In this webinar, we will review the benefits of leveraging InfluxDB and Grafana when executing load tests and demonstrate how these tools are used to visualize performance metrics.
Length: 30 minutes
Session Overview
-------------------------------------------
During this webinar, we will cover the following topics while demonstrating the integrations of JMeter, InfluxDB and Grafana:
- What out-of-the-box solutions are available for real-time monitoring JMeter tests?
- What are the benefits of integrating InfluxDB and Grafana into the load testing stack?
- Which features are provided by Grafana?
- Demonstration of InfluxDB and Grafana using a practice web application
To view the webinar recording, go to:
https://www.rttsweb.com/jmeter-integration-webinar
LF Energy Webinar: Electrical Grid Modelling and Simulation Through PowSyBl -...DanBrown980551
Do you want to learn how to model and simulate an electrical network from scratch in under an hour?
Then welcome to this PowSyBl workshop, hosted by Rte, the French Transmission System Operator (TSO)!
During the webinar, you will discover the PowSyBl ecosystem as well as handle and study an electrical network through an interactive Python notebook.
PowSyBl is an open source project hosted by LF Energy, which offers a comprehensive set of features for electrical grid modelling and simulation. Among other advanced features, PowSyBl provides:
- A fully editable and extendable library for grid component modelling;
- Visualization tools to display your network;
- Grid simulation tools, such as power flows, security analyses (with or without remedial actions) and sensitivity analyses;
The framework is mostly written in Java, with a Python binding so that Python developers can access PowSyBl functionalities as well.
What you will learn during the webinar:
- For beginners: discover PowSyBl's functionalities through a quick general presentation and the notebook, without needing any expert coding skills;
- For advanced developers: master the skills to efficiently apply PowSyBl functionalities to your real-world scenarios.
Key Trends Shaping the Future of Infrastructure.pdfCheryl Hung
Keynote at DIGIT West Expo, Glasgow on 29 May 2024.
Cheryl Hung, ochery.com
Sr Director, Infrastructure Ecosystem, Arm.
The key trends across hardware, cloud and open-source; exploring how these areas are likely to mature and develop over the short and long-term, and then considering how organisations can position themselves to adapt and thrive.
Software Delivery At the Speed of AI: Inflectra Invests In AI-Powered QualityInflectra
In this insightful webinar, Inflectra explores how artificial intelligence (AI) is transforming software development and testing. Discover how AI-powered tools are revolutionizing every stage of the software development lifecycle (SDLC), from design and prototyping to testing, deployment, and monitoring.
Learn about:
• The Future of Testing: How AI is shifting testing towards verification, analysis, and higher-level skills, while reducing repetitive tasks.
• Test Automation: How AI-powered test case generation, optimization, and self-healing tests are making testing more efficient and effective.
• Visual Testing: Explore the emerging capabilities of AI in visual testing and how it's set to revolutionize UI verification.
• Inflectra's AI Solutions: See demonstrations of Inflectra's cutting-edge AI tools like the ChatGPT plugin and Azure Open AI platform, designed to streamline your testing process.
Whether you're a developer, tester, or QA professional, this webinar will give you valuable insights into how AI is shaping the future of software delivery.
State of ICS and IoT Cyber Threat Landscape Report 2024 previewPrayukth K V
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The latest edition of the OT/ICS and IoT security Threat Landscape Report 2024 also covers:
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Sectoral targets and attacks as well as the cost of ransom
Global APT activity, AI usage, actor and tactic profiles, and implications
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Major cyber events in 2024
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In-depth analysis of the cyber threat landscape across North America, South America, Europe, APAC, and the Middle East
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Cyber risk predictions
Axis of attacks – Europe
Systemic attacks in the Middle East
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https://sectrio.com/resources/ot-threat-landscape-reports/sectrio-releases-ot-ics-and-iot-security-threat-landscape-report-2024/
Connector Corner: Automate dynamic content and events by pushing a buttonDianaGray10
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Send an interactive Slack channel message (using buttons)
Have the message received by managers and peers along with a test email for review
But there’s more:
In a second workflow supporting the same use case, you’ll see:
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Accelerate your Kubernetes clusters with Varnish CachingThijs Feryn
A presentation about the usage and availability of Varnish on Kubernetes. This talk explores the capabilities of Varnish caching and shows how to use the Varnish Helm chart to deploy it to Kubernetes.
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Neuro-symbolic is not enough, we need neuro-*semantic*Frank van Harmelen
Neuro-symbolic (NeSy) AI is on the rise. However, simply machine learning on just any symbolic structure is not sufficient to really harvest the gains of NeSy. These will only be gained when the symbolic structures have an actual semantics. I give an operational definition of semantics as “predictable inference”.
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Essentials of Automations: Optimizing FME Workflows with Parameters
What is Linked Data?
1. What is Linked Data?
Linked Data for Libraries, 6th Nov 2014, Royal Irish Academy
Dr.
Christophe
Debruyne
Digital
Repository
of
Ireland
–
Royal
Irish
Academy
Insight
Centre
of
Data
Analy<cs
–
NUI
Galway
Linked Data for Librarians – November 6, 2014 – Royal Irish Academy
2. What is Linked Data?
• Linked Data started off as a initiative called the Linking
Open Data (LOD) project.
• Linked Data is a global initiative to publish and interlink
structured data on the Web using a combination of well
established technologies.
• Uniform Resource Identifiers – to name things;
• Resource Description Framework – to represent things;
• HTTP infrastructure – to obtain those representations.
Linked Data for Librarians – November 6, 2014 – Royal Irish Academy
3. Web of Documents vs. Web of Data
• The Web of Documents were created by humans for
humans; the links between documents bore little
meaning for machines and documents provided little
structured information.
• Structured information can be found on the Web – such
as XML, CSV, etc. – but, …
• How do we link data rather than documents, and create
a global “database” of information?
Linked Data for Librarians – November 6, 2014 – Royal Irish Academy
4. Towards a Web of Documents
• We need appropriate methods (guidelines) and
Linked Data for Librarians – November 6, 2014 – Royal Irish Academy
standards.
• Tim Berners-Lee formulated four rules for creating
and publishing Linked Data on the Web.
5. Linked Data for Librarians – November 6, 2014 – Royal Irish Academy
The four principles
Number
1
“Use
URIs
as
names
for
things.”
6. (1) Use URIs to name things
• Use Uniform Resource Identifiers (URIs) to name
everything you need to describe on the Web
• People, geographical locations, books, …
• Events, emotion, religion, …
Linked Data for Librarians – November 6, 2014 – Royal Irish Academy
• Examples
• http://dbpedia.org/resource/James_Joyce
• ftp://example.org/file.txt
• urn:ISSN:1535-3613
• But …
7. Linked Data for Librarians – November 6, 2014 – Royal Irish Academy
The four principles
Number
1
“Use
URIs
as
names
for
things.”
Number
2
“Use
HTTP
URIs
so
that
people
can
look
up
those
names.”
8. (2) Use HTTP URIs to look up those names
• HTTP URIs allow one to reuse the existing HTTP
infrastructure to return something when one
performs an HTTP GET request.
• One can for instance put the HTTP URI in a
browser’s address bar and – hopefully – get a
result.
• http://dbpedia.org/resource/James_Joyce
Linked Data for Librarians – November 6, 2014 – Royal Irish Academy
9. Linked Data for Librarians – November 6, 2014 – Royal Irish Academy
The four principles
Number
1
“Use
URIs
as
names
for
things.”
Number
2
“Use
HTTP
URIs
so
that
people
can
look
up
those
names.”
Number
3
“When
someone
looks
up
a
URI,
provide
useful
informa<on,
using
the
standards
(RDF,
SPARQL)”
10. (3) Provide useful Information for URI look-ups
• When entities are identified by URIs that use the http://
scheme, these entities can be looked up simply by
dereferencing the URI over the HTTP protocol.
• Simple, standardized mechanism for retrieving
resources via these URIs.
• Provide information suitable for the “consumer”
• Humans rather see HTML pages, PDFs, pictures, …
• Machines want machine-readable formats such as RDF
Linked Data for Librarians – November 6, 2014 – Royal Irish Academy
11. Resource Description Framework
• RDF is not (really) a language but a model (!!!)
• RDF is a W3C recommendation
• RDF is designed to be read by computers
• RDF is for describing resources on the Web
in terms of triples (subject – predicate – object)
• RDF uses URIs to identify and reference resources on
Linked Data for Librarians – November 6, 2014 – Royal Irish Academy
the Web
• RDF/XML is just one way of serializing RDF
• Others are Turtle, N3, etc.
12. Resource Description Framework
<?xml version="1.0" encoding="utf-8" ?>
<rdf:RDF xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#"
xmlns:foaf="http://xmlns.com/foaf/0.1/" >
<rdf:Description rdf:about="http://dbpedia.org/resource/James_Joyce">
<foaf:name>Joyce, James Augustine Aloysius</foaf:name>
<foaf:based_near rdf:resource="http://dbpedia.org/resource/Zurich" />
Linked Data for Librarians – November 6, 2014 – Royal Irish Academy
</rdf:Description>
</rdf:RDF>
13. foaf:name
Linked Data for Librarians – November 6, 2014 – Royal Irish Academy
foaf:based_near
14. Ontologies
• An ontology is an “explicit [formal] specification of a [shared]
conceptualization.” (Gruber, 1993)
• RDF is the data model.
• RDF, RDFS and OWL are ontology languages.
• RDF à Declare types and relations;
• RDFS à Declare type- & role hierarchies, domains and rages, etc.
• OWL à Properties of relations, Disjointness, etc.
• Popular ontologies for instance are Friend-of-a-Friend (FOAF),
Simple Knowledge Organization System (SKOS), Dublin Core terms
• Ontologies allows us to describe resources.
Linked Data for Librarians – November 6, 2014 – Royal Irish Academy
15. Information resources and non-information resources
• Information resources are documents – referred to by a
URI – that describe non-information resources – named
with a URI – that represent things such as cars, people,
etc.
• The NIR http://dbpedia.org/resource/James_Joyce is
described by the following IRs:
• The web page http://dbpedia.org/page/James_Joyce
• The RDF doc http://dbpedia.org/data/James_Joyce
• Either is returned depending on what you need. How?
Linked Data for Librarians – November 6, 2014 – Royal Irish Academy
16. Content negotiation – part of the HTTP infrastructure
Resource identifiers:
• HTTP URIs not only as a name, but also for a Web look-up.
• Non-information resources can have multiple representations:
HTML, RDF/XML, ...
HTTP URI dereferencing:
• To dereference → “To obtain the address of a data item held
in another location from a pointer”
• URI pointing to a IR returns the representation.
• URI pointing to a NIR returns a redirect to an IR describing
that NIR.
Linked Data for Librarians – November 6, 2014 – Royal Irish Academy
17. Linked Data for Librarians – November 6, 2014 – Royal Irish Academy
Content negotiation
Image
from
hSp://www.w3.org/TR/swbp-‐vocab-‐pub/
18. What should be returned?
• RDF should be at least be represented as RDF/XML.
• All RDF triples with the NIR’s URI as the subject in the
triples. Triples where the NIR is a object are optional,
but nice to have.
• Descriptions about related resources and metadata
(e.g. publisher, creation date, etc.) should be attached
to the information resource.
Linked Data for Librarians – November 6, 2014 – Royal Irish Academy
19. Content negotiation in Linked Logainm
Linked Logainm is a collaborative project undertaken
by the DRI, Insight @ NUI Galway, Fiontar at DCU, the
National Library of Ireland and the Placenames Branch
of the Department of Arts, Heritage and the Gaeltacht.
The Linked Logainm project has created a new open
dataset, which allows Irish place names to be linked
across the world by cutting edge technologies
developed in Ireland.
Linked Data for Librarians – November 6, 2014 – Royal Irish Academy
20. Content negotiation in Linked Logainm
Westport is identified by the URI http://data.logainm.ie/place/132920
$ curl -H "Accept:text/rdf+n3" http://
data.logainm.ie/place/13292
@prefix rdf: <http://www.w3.org/1999/02/22-rdf-syntax-ns#> .
@prefix spatial: <http://geovocab.org/spatial#> .
<http://data.logainm.ie/place/132920> rdf:type
spatial:Feature .
@prefix ns2: <http://data.logainm.ie/category/> .
<http://data.logainm.ie/place/132920> rdf:type ns2:B .
@prefix owl: <http://www.w3.org/2002/07/owl#> .
@prefix ns4: <http://linkedgeodata.org/triplify/> .
<http://data.logainm.ie/place/132920> owl:sameAs
ns4:node52244000 ,
<http://id.worldcat.org/fast/1210744> ,
<http://sws.geonames.org/2960970/> .
@prefix foaf: <http://xmlns.com/foaf/0.1/> .
<http://data.logainm.ie/place/132920> foaf:name "Westport"@en
…
Linked Data for Librarians – November 6, 2014 – Royal Irish Academy
21. Linked Data for Librarians – November 6, 2014 – Royal Irish Academy
The four principles
Number
1
“Use
URIs
as
names
for
things.”
Number
2
“Use
HTTP
URIs
so
that
people
can
look
up
those
names.”
Number
3
“When
someone
looks
up
a
URI,
provide
useful
informa<on,
using
the
standards
(RDF,
SPARQL)”
Number
4
“Include
links
to
other
URIs,
so
that
they
can
discover
more
things.”
22. (4) Include links to other URIs
• Not only within the same dataset
<http://dbpedia.org/resource/James_Joyce>
dbpedia-owl:birthPlace
<http://dbpedia.org/resource/Dublin"> .
• But also across datasets
<http://dbpedia.org/page/Dublin>
owl:sameAs
<http://sws.geonames.org/7778677/> .
Linked Data for Librarians – November 6, 2014 – Royal Irish Academy
23. Example of linking across datasets
dbpedia-‐owl:popula<onTotal
gn:popula<on
gn:name
Linked Data for Librarians – November 6, 2014 – Royal Irish Academy
hSp://
dbpedia.org/
resource/Dublin
Dublin
rdfs:label
527612
owl:sameAs
hSp://
sws.geonames.org
/7778677/
hSp://
sws.geonames.org
/7778677/
527612
Dublin
City
24. Linked Data for Librarians – November 6, 2014 Linking
Open
Data
cloud
diagram
2014,
by
Max
Schmachten b–e Rrogy,a
lC Irhisrhi sA<caadnem
Byi zer,
Anja
Jentzsch
and
Richard
Cyganiak.
hSp://lod-‐cloud.net/
25. References
• Berners-Lee, T. (2006). Linked Data - Design Issues.
Retrieved October 20 2014, http://www.w3.org/
DesignIssues/LinkedData.html
• Gruber, T. R. (1993) Towards principles for the design of
ontologies used for knowledge sharing. In Guarino, N. and
Poli, R., eds. Formal Ontology in Conceptual Analysis and
Knowledge representation. Kluwer Academic Publishers,
Deventer, The Netherlands.
• Hitzler, P., Krotzsch, M., and Rudolph, S. (2010) Foundations
of Semantic Web Technologies. CRC Press, Boca Raton,
FL, the US.
• van Hooland, S. and Verborgh, R. (2014) Linked Data for
Libraries, Archives and Museums. How to clean, link and
publish your metadata. Facet Publishing, London, The UK.
Linked Data for Librarians – November 6, 2014 – Royal Irish Academy