This document discusses the potential benefits of using linked data in libraries. It explains that linked data connects related data on the web using URIs and RDF triples. This allows data to be integrated, extended and reused. The document provides examples of how linked data could unlock library data, connect different library systems, and allow complex relationships to be modeled. Overall, it argues that linked data can help libraries share and integrate their data in new ways.
Linked Open Data Principles, Technologies and ExamplesOpen Data Support
Theoretical and practical introducton to linked data, focusing both on the value proposition, the theory/foundations, and on practical examples. The material is tailored to the context of the EU institutions.
This PPT contain details of Z39.50 and useful for Library Science students. This protocol used for information retrieval and in the end list of different types of protocols are given.
Linked Open Data Principles, Technologies and ExamplesOpen Data Support
Theoretical and practical introducton to linked data, focusing both on the value proposition, the theory/foundations, and on practical examples. The material is tailored to the context of the EU institutions.
This PPT contain details of Z39.50 and useful for Library Science students. This protocol used for information retrieval and in the end list of different types of protocols are given.
Information Literacy In Higher EducationKavita Rao
Information Literacy in Higher Education: A Revolution in Learning.Paper presented In International Conference on “e-Resources in Higher education: Issues, Developments, Opportunities and Challenges” held on 19-20 February 2010.
Sears List of Subject Headings, first published by Minnie Earl Sears in 1923, has served as a standard authority list for subject cataloging in small and medium-sized libraries, delivering a basic list of essential headings, together with patterns and examples to guide the cataloger in creating further headings.
Introduction to Persistent Identifiers| www.eudat.eu | EUDAT
| www.eudat.eu | What are persistent identifiers? Why use persistent identifiers? Different persistent identifier systems; The HANDLE system; EPIC PID system; Policies; Use cases
Ver 2 July 2017
https://doi.org/10.6084/m9.figshare.11854626.v1
Presented at Dutch National Librarian/Information Professianal Association annual conference 2011 - NVB2011
November 17, 2011
Information Literacy In Higher EducationKavita Rao
Information Literacy in Higher Education: A Revolution in Learning.Paper presented In International Conference on “e-Resources in Higher education: Issues, Developments, Opportunities and Challenges” held on 19-20 February 2010.
Sears List of Subject Headings, first published by Minnie Earl Sears in 1923, has served as a standard authority list for subject cataloging in small and medium-sized libraries, delivering a basic list of essential headings, together with patterns and examples to guide the cataloger in creating further headings.
Introduction to Persistent Identifiers| www.eudat.eu | EUDAT
| www.eudat.eu | What are persistent identifiers? Why use persistent identifiers? Different persistent identifier systems; The HANDLE system; EPIC PID system; Policies; Use cases
Ver 2 July 2017
https://doi.org/10.6084/m9.figshare.11854626.v1
Presented at Dutch National Librarian/Information Professianal Association annual conference 2011 - NVB2011
November 17, 2011
About the Webinar
The library and cultural institution communities have generally accepted the vision of moving to a Linked Data environment that will align and integrate their resources with those of the greater Semantic Web. But moving from vision to implementation is not easy or well-understood. A number of institutions have begun the needed infrastructure and tools development with pilot projects to provide structured data in support of discovery and navigation services for their collections and resources.
Join NISO for this webinar where speakers will highlight actual Linked Data projects within their institutions—from envisioning the model to implementation and lessons learned—and present their thoughts on how linked data benefits research, scholarly communications, and publishing.
Speakers:
Jon Voss - Strategic Partnerships Director, We Are What We Do
LODLAM + Historypin: A Collaborative Global Community
Matt Miller - Front End Developer, NYPL Labs at the New York Public Library
The Linked Jazz Project: Revealing the Relationships of the Jazz Community
Cory Lampert - Head, Digital Collections , UNLV University Libraries
Silvia Southwick - Digital Collections Metadata Librarian, UNLV University Libraries
Linked Data Demystified: The UNLV Linked Data Project
Applied semantic technology and linked dataWilliam Smith
Mapping a human brain generates petabytes of gene listings and the corresponding locations of these genes throughout the human brain. Due to the large dataset a prototype Semantic Web application was created with the unique ability to link new datasets from similar fields of research, and present these new models to an online community. The resulting application presents a large set of gene to location mappings and provides new information about diseases, drugs, and side effects in relation to the genes and areas of the human brain.
In this presentation we will discuss the normalization processes and tools for adding new datasets, the user experience throughout the publishing process, the underlying technologies behind the application, and demonstrate the preliminary use cases of the project.
Sieve - Data Quality and Fusion - LWDM2012Pablo Mendes
Presentation at the LWDM workshop at EDBT 2012.
The Web of Linked Data grows rapidly and already contains data originating from hundreds of data sources. The quality of data from those sources is very diverse, as values may be out of date, incomplete or incorrect. Moreover, data sources
may provide conflicting values for a single real-world object. In order for Linked Data applications to consume data from this global data space in an integrated fashion, a number of challenges have to be overcome. One of these challenges is to rate and to integrate data based on their quality.
However, quality is a very subjective matter, and nding a canonical judgement that is suitable for each and every task is not feasible.
To simplify the task of consuming high-quality data, we present Sieve, a framework for flexibly expressing quality assessment methods as well as fusion methods. Sieve is integrated into the Linked Data Integration Framework (LDIF), which handles Data Access, Schema Mapping and Identity
Resolution, all crucial preliminaries for quality assessment and fusion.
We demonstrate Sieve in a data integration scenario importing data from the English and Portuguese versions of DBpedia, and discuss how we increase completeness, conciseness and consistency through the use of our framework.
Linked Data Quality Assessment – daQ and Luzzujerdeb
Presentation at the Ontology Engineering Group at UPM related to Linked Data Quality and the work done in the Enterprise Information System Group at Universität Bonn
Structural syntactic metrics for RDF Datasets that correlate with high level quality deficiencies.
The vision of the Linked Open Data (LOD) initiative is to provide a model for publishing data and meaningfully interlinking such dispersed but related data. Despite the importance of data quality for the successful growth of the LOD, only limited attention has been focused on quality of data prior to their publication on the LOD. This paper focuses on the systematic assessment of the quality of datasets prior to publication on the LOD cloud. To this end, we identify important quality deficiencies that need to be avoided and/or resolved prior to the publication of a dataset. We then propose a set of metrics to measure and identify these quality deficiencies in a dataset. This way, we enable the assessment and identification of undesirable quality characteristics of a dataset through our proposed metrics.
Slides for paper presentation at DEXA 2015:
Behshid Behkamal, Mohsen Kahani, Ebrahim Bagheri:
Quality Metrics for Linked Open Data. DEXA (1) 2015: 144-152
Data Quality: A Raising Data Warehousing ConcernAmin Chowdhury
Characteristics of Data Warehouse
Benefits of a data warehouse
Designing of Data Warehouse
Extract, Transform, Load (ETL)
Data Quality
Classification Of Data Quality Issues
Causes Of Data Quality
Impact of Data Quality Issues
Cost of Poor Data Quality
Confidence and Satisfaction-based impacts
Impact on Productivity
Risk and Compliance impacts
Why Data Quality Influences?
Causes of Data Quality Problems
How to deal: Missing Data
Data Corruption
Data: Out of Range error
Techniques of Data Quality Control
Data warehousing security
In October of 2011, the Library of Congress released a statement outlining its efforts to move away from the MARC 21 format and toward another carrier for library data. According to the statement, "Linked Data principles and mechanisms" will be the focus of this project. You may be wondering, what is Linked Data? What could it mean for our library catalogs? How do we create Linked Data? In this session, Emily Nimsakont, the NLC’s Cataloging Librarian, will answer those questions and more.
NCompass Live - Jan. 11, 2012.
Linked data for Libraries, Archives, Museumsljsmart
General introduction to Linked Data concepts presented to Maryland Library Association Technical Services Division at "Tech Services on the Edge" forum
Brief overview of linked data, RDA, FRBR, big data and sharing data ; discussion followed (based on Alastair Croll's presentation at ALA). robin fay @georgiawebgurl ; peter murray (lyrasis)
Presentation at ELAG 2011, European Library Automation Group Conference, Prague, Czech Republic. 25th May 2011
http://elag2011.techlib.cz/en/815-lifting-the-lid-on-linked-data/
Linked Data Basics Slot in WWW2012 Tutorial: Practical Cross-Dataset Queries on the Web of Data
http://latc-project.eu/events/www2012-tutorial-cross-dataset-queries
What Are Links in Linked Open Data? A Characterization and Evaluation of Link...Armin Haller
Linked Open Data promises to provide guiding principles to publish interlinked knowledge graphs on the Web in the form of findable, accessible, interoperable, and reusable datasets. In this talk I argue that while as such, Linked Data may be viewed as a basis for instantiating the FAIR principles, there are still a number of open issues that cause significant data quality issues even when knowledge graphs are published as Linked Data. In this talk I will first define the boundaries of what constitutes a single coherent knowledge graph within Linked Data, i.e., present a principled notion of what a dataset is and what links within and between datasets are. I will also define different link types for data in Linked datasets and present the results of our empirical analysis of linkage among the datasets of the Linked Open Data cloud. Recent results from our analysis of Wikidata, which has not been part of the Linked Open Data Cloud, will also be presented.
PHP Frameworks: I want to break free (IPC Berlin 2024)Ralf Eggert
In this presentation, we examine the challenges and limitations of relying too heavily on PHP frameworks in web development. We discuss the history of PHP and its frameworks to understand how this dependence has evolved. The focus will be on providing concrete tips and strategies to reduce reliance on these frameworks, based on real-world examples and practical considerations. The goal is to equip developers with the skills and knowledge to create more flexible and future-proof web applications. We'll explore the importance of maintaining autonomy in a rapidly changing tech landscape and how to make informed decisions in PHP development.
This talk is aimed at encouraging a more independent approach to using PHP frameworks, moving towards a more flexible and future-proof approach to PHP development.
Builder.ai Founder Sachin Dev Duggal's Strategic Approach to Create an Innova...Ramesh Iyer
In today's fast-changing business world, Companies that adapt and embrace new ideas often need help to keep up with the competition. However, fostering a culture of innovation takes much work. It takes vision, leadership and willingness to take risks in the right proportion. Sachin Dev Duggal, co-founder of Builder.ai, has perfected the art of this balance, creating a company culture where creativity and growth are nurtured at each stage.
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/
Search and Society: Reimagining Information Access for Radical FuturesBhaskar Mitra
The field of Information retrieval (IR) is currently undergoing a transformative shift, at least partly due to the emerging applications of generative AI to information access. In this talk, we will deliberate on the sociotechnical implications of generative AI for information access. We will argue that there is both a critical necessity and an exciting opportunity for the IR community to re-center our research agendas on societal needs while dismantling the artificial separation between the work on fairness, accountability, transparency, and ethics in IR and the rest of IR research. Instead of adopting a reactionary strategy of trying to mitigate potential social harms from emerging technologies, the community should aim to proactively set the research agenda for the kinds of systems we should build inspired by diverse explicitly stated sociotechnical imaginaries. The sociotechnical imaginaries that underpin the design and development of information access technologies needs to be explicitly articulated, and we need to develop theories of change in context of these diverse perspectives. Our guiding future imaginaries must be informed by other academic fields, such as democratic theory and critical theory, and should be co-developed with social science scholars, legal scholars, civil rights and social justice activists, and artists, among others.
Transcript: Selling digital books in 2024: Insights from industry leaders - T...BookNet Canada
The publishing industry has been selling digital audiobooks and ebooks for over a decade and has found its groove. What’s changed? What has stayed the same? Where do we go from here? Join a group of leading sales peers from across the industry for a conversation about the lessons learned since the popularization of digital books, best practices, digital book supply chain management, and more.
Link to video recording: https://bnctechforum.ca/sessions/selling-digital-books-in-2024-insights-from-industry-leaders/
Presented by BookNet Canada on May 28, 2024, with support from the Department of Canadian Heritage.
Smart TV Buyer Insights Survey 2024 by 91mobiles.pdf91mobiles
91mobiles recently conducted a Smart TV Buyer Insights Survey in which we asked over 3,000 respondents about the TV they own, aspects they look at on a new TV, and their TV buying preferences.
Let's dive deeper into the world of ODC! Ricardo Alves (OutSystems) will join us to tell all about the new Data Fabric. After that, Sezen de Bruijn (OutSystems) will get into the details on how to best design a sturdy architecture within ODC.
Dev Dives: Train smarter, not harder – active learning and UiPath LLMs for do...UiPathCommunity
💥 Speed, accuracy, and scaling – discover the superpowers of GenAI in action with UiPath Document Understanding and Communications Mining™:
See how to accelerate model training and optimize model performance with active learning
Learn about the latest enhancements to out-of-the-box document processing – with little to no training required
Get an exclusive demo of the new family of UiPath LLMs – GenAI models specialized for processing different types of documents and messages
This is a hands-on session specifically designed for automation developers and AI enthusiasts seeking to enhance their knowledge in leveraging the latest intelligent document processing capabilities offered by UiPath.
Speakers:
👨🏫 Andras Palfi, Senior Product Manager, UiPath
👩🏫 Lenka Dulovicova, Product Program Manager, UiPath
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”.
All of this illustrated with link prediction over knowledge graphs, but the argument is general.
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.
3. USING THE WEB TO
CONNECT DATA
SIMILAR TO HOW IT
CONNECTS PAGES
• ―Linked Data is simply about using the web to create typed
links between data from different sources.‖ –Christian Bizer,
Tom Heath, and Tim Berners-Lee, ―Linked Data—The Story So
Far‖
• Connections between data are understandable by computer
programs
• Data is sharable, extensible, and reusable.
4. TIM BERNERS-LEE’S
FOUR RULES
1. Use URIs as names for things
2. Use HTTP URIs so that people can look up those names
3. When someone looks up a URI, provide useful
information, using the standards
4. Include links to other URIs, so they can discover more
things
8. RDF:
RESOURCE DESCRIPTION
FRAMEWORK
• The main standard of linked data
• RDF is a data model that expresses connections in the
form of ―triples‖
• Model, not schema (expressing RDF often done in XML)
9. THE RDF TRIPLE
Subject Predicate Object
First Second
Resource Resource
Defines relationship using set
vocabulary (ex. Dublin Core)
11. LINKED DATA GRAPH
Classifies
Document 3
Author A Subject
Written by
Written by Author of
Classified
as
Document Document
1 2 Author B
―Follow your nose.‖
13. UNLOCK LIBRARY DATA
• Transforms library data so that it is of the web
• Becomes easily searchable
• Libraries can integrate outside data into what they already
have
• Anyone can reuse library data to create their own
applications
14. EXAMPLE: CONTROLLED
VOCABULARIES
• Create URIs for each word in a controlled vocabulary
• Creates method for classifying and cataloging web
resources that can easily be used by libraries and others
• Library of Congress has released LCSH as linked data,
and OCLC has a modified version of LCSH called FAST as
linked data
15. CATALOG COMPLEX
RELATIONSHIPS
• Linked Data is flexible enough to express entity-
relationship relationships such as FRBR/FRAD that MARC
struggles with
• Oslo Public Library Pode project
• Define relationships between different manifestations of a
work
• Allow patrons to either request any version a work or a
specific manifestation
16. CONNECT DIFFERENT PARTS
OF THE LIBRARY’S SYSTEM
• Different parts of the library structure (ILS, ERMS, different
databases, etc.) would be able to share data more easily,
allowing searches to easily jump from one area to another
• This is still a long way off
18. BIBLIOGRAPHY
Baker, Thomas et all. ―Library Linked Data Incubator Group Final Report.‖ W3C
Incubator Group Report. October 2011. Available at:
http://www.w3.org/2005/Incubator/lld/XGR-lld-20111025/
Berners-Lee, Tim. ―Linked Data.‖ W3C. June 2009. Available at:
http://www.w3.org/DesignIssues/LinkedData
Bizer et all. ―Linked Data—The Story So Far.‖ International Journal on Semantic Web
and Information Systems 5 (2009): 1-22.
Chudnoy, Daniel. ―Libraries in Computers: What Linked Data is Missing.‖ Computers in
Libraries 31 (2011): 35-36.
Fox, Robert. ―Avoiding the Weak Link.‖ OCLC Systems & Services 27 (2011): 163-169.
Miller, Eric, and Westfall, Micheline. ―Linked Data and Libraries.‖ The Serials Librarian
60 (2011): 17-22.
Singer, Ross. ―Linked Library Data Now!‖ Journal of Electronic Resources Librarianship
21 (2009): 114-126.
Wallis, Richard. ―Linked Data Applicable for Libraries.‖ Talis. Available at:
http://consulting.talis.com/resources/presentations-from-linked-data-and-
libraries-2011/
Westrum, Anne-Lena et all. ―Improving the Presentation of Library Data Using FRBR
and Linked Data.‖ Code{4}Lib Journal 16 (2011): 1-7.