The document discusses differences between creating taxonomies for human indexing versus auto-indexing. For human indexing, taxonomy terms can be more granular and relationships between terms like hierarchies and related terms are useful. For auto-indexing, terms need to be more distinct and relationship types may not be needed or used. Notes on terms are generally not needed for auto-indexing. Synonyms and variants also differ between the two methods.
As we design for complex information environments, taxonomy design and user experience must collaborate with more depth and understanding in order to create a truly usable experience.
Presentation given at the National Federation of Advanced Information Services (NFAIS) conference: "Improving the User Search Experience" October 2010, in Philadelphia, PA
Presentation from ALA Midwinter 2009 (American Library Association) meeting as part of the Networked Resources and Metadata Interest Group (NRMIG). A discussion on taxonomy development lead by Laura Dorricott a Taxonomy Project Delivery Manger with Dow Jones Taxonomy Services on Sunday, January 25th 2009.
Corresponding Blog post with notes from session by Laura available here:
http://synapticacentral.com/content/notes-session-taxonomy-development-and-digital-projects
As we design for complex information environments, taxonomy design and user experience must collaborate with more depth and understanding in order to create a truly usable experience.
Presentation given at the National Federation of Advanced Information Services (NFAIS) conference: "Improving the User Search Experience" October 2010, in Philadelphia, PA
Presentation from ALA Midwinter 2009 (American Library Association) meeting as part of the Networked Resources and Metadata Interest Group (NRMIG). A discussion on taxonomy development lead by Laura Dorricott a Taxonomy Project Delivery Manger with Dow Jones Taxonomy Services on Sunday, January 25th 2009.
Corresponding Blog post with notes from session by Laura available here:
http://synapticacentral.com/content/notes-session-taxonomy-development-and-digital-projects
Issues in tagging or indexing with a taxonomy, thesaurus, or controlled vocabulary, both manual and automated.
Presented at Taxonomy Boot Camp conference 2019
Opening presentation for Track 1 of the 2012 Taxonomy Boot Camp, October 16, 2012.
Presented by Marjorie M.K. Hlava of Access Innovations and Heather Hedden of Hedden Information Management.
Presentation given on March 12, 2013 by Marjorie M.K. Hlava of Access Innovations, Inc. as a webinar for the San Francisco chapter of the Special Libraries Association.
An overview of the differences between an ontology and a taxonomy, the Ontology Web Language (OWL), and the appropriate times to use an ontology. Presented by Dr. Jay Ven Eman at the 2012 Data Harmony User Group meeting on February 9, 2012 at the Access Innovations, Inc. offices.
Mapping, Merging, and Multilingual TaxonomiesHeather Hedden
SLA 2012 conference presentation sponsored by the Taxonomy Division at SLA Chicago July 16 and re-presented at the New England Chapter on October 13, 2012.
Presentation to the Information & Knowledge Management Society in Singapore, March 2008, on approaches to integrating controlled and uncontrolled vocabularies.
Content Management, Metadata and Semantic WebAmit Sheth
Keynote given at NetObjectDays conference, Erfurt, September 11, 2001.
One of the earliest keynotes discussing commercial semantic web technologies, semantic web applications (including semantic search, semantic targeting, semantic content management). Prof. Sheth started a Semantic Web company Taalee, Inc. in 1999 (Product was MediaAnywhere A/V search engine),that merged to become Voquette in 2001 (product was called SCORE), Semagix in 2004 (product was called Semagix Freedom), and then Fortent in 2006 (products included Know Your Customers). Additional details can be found in U.S. Patent #6311194, 30 Oct. 2001 (filed 2000).
Note: the commercial system used "WorldModel" as at the time, business customers were not yet warm to "Ontology" - the concept/intent is the same. More recent information at http://knoesis.org
Click here to listen to the webcast - http://bit.ly/MdAzXd
DITA Tasks are often the most valuable content we create – especially when we present them in Support portals. But if end-users can’t find them they have no value – avoiding that requires classifying them with metadata and labels from a standard taxonomy.
Taxonomy and metadata can seem like scary or complex turf to the uninitiated – but they don’t have to be. In this 40-minute webinar, Paul Wlodarczyk will walk you through a simple process to begin to assemble a basic taxonomy of controlled vocabularies for tagging your DITA Tasks.
You will learn:
The most critical metadata for classifying tasks – regardless of your industry
How to use tools that you already own to build your taxonomy
Simple rules for keeping your terms consistent
Using existing lists of terms so you don’t have to build a taxonomy from scratch
Identifying Security Risks Using Auto-Tagging and Text AnalyticsEnterprise Knowledge
On Thursday, November 10, Joe Hilger and Sara Duane spoke at Text Analytics Forum about identifying secure and confidential information using auto-tagging. Information security continues to grow in importance in today's society. We hear stories all of the time about hackers accessing private information from companies and government agencies. Every organization struggles with employees who store confidential information on insecure network drives or cloud drives. Joe and Sara did a project with a federal research organization that used auto-tagging and text analytics to identify confidential information that needed to be moved to a secure location. During the presentation, we shared the approach we took to identify this information and how we made sure that the tagging and text analytics were accurate. Attendees learned best practices for designing a taxonomy for auto-tagging and tuning auto-tagging as well as ways to identify confidential information across the enterprise.
IWMW 2002: The Value of Metadata and How to Realise ItIWMW
Workshop session at IWMW 2002 on "The Value of Metadata and How to Realise It" facilitated by Dennis Nicholson.
See http://www.ukoln.ac.uk/web-focus/events/workshops/webmaster-2002/materials/nicholson/
Overview of how to improve records management and findability using SharePoint 2010, EMM, Term Store and Content Types and ConceptClassifier for SharePoint.
Simplified Technical English: How Standardizing Content Saves Translation Cos...Scott Abel
Presented by Berry Braster at Documentation and Training Life Sciences, June 23-26, 2008 in Indianapolis.
Products and processes are becoming more complex, while companies worldwide increasingly have to deal with different languages.
Although technical documentation is predominantly written in English, it can often be difficult to understand due to its complexity: complex sentence structures, multiple meanings and synonyms easily result in confusion. In addition, many readers’ command of English can fall below the level of those who created the documentation, which especially applies to non-native English speakers.
For documents that have to be translated into other languages, one cannot expect the translation to be of great quality if the source file was ambiguous to begin with.
As a result, these are often the consequences:
* Confused and frustrated readers
* Safety risk
* Damage during operation or maintenance
* Liability claims
* High localization costs
* Unsatisfactory translations
* Higher training support costs
* Ineffective customer service
* Unanticipated costs as a result of miscommunication
In this context, clear and effective writing has become more important than ever before.
Simplified Technical English (also known as Controlled English) is a method of writing that makes technical English easy to understand. The use of Simplified Technical English stimulates (global) acceptance of technical documentation as it improves readability and prevents misunderstandings and misinterpretations.
The Role of Taxonomy and Ontology in Semantic Layers - Heather Hedden.pdfEnterprise Knowledge
Heather Hedden, Senior Consultant at Enterprise Knowledge, presented “The Role of Taxonomy and Ontology in Semantic Layers” at a webinar hosted by Progress Semaphore on April 16, 2024.
Taxonomies at their core enable effective tagging and retrieval of content, and combined with ontologies they extend to the management and understanding of related data. There are even greater benefits of taxonomies and ontologies to enhance your enterprise information architecture when applying them to a semantic layer. A survey by DBP-Institute found that enterprises using a semantic layer see their business outcomes improve by four times, while reducing their data and analytics costs. Extending taxonomies to a semantic layer can be a game-changing solution, allowing you to connect information silos, alleviate knowledge gaps, and derive new insights.
Hedden, who specializes in taxonomy design and implementation, presented how the value of taxonomies shouldn’t reside in silos but be integrated with ontologies into a semantic layer.
Learn about:
- The essence and purpose of taxonomies and ontologies in information and knowledge management;
- Advantages of semantic layers leveraging organizational taxonomies; and
- Components and approaches to creating a semantic layer, including the integration of taxonomies and ontologies
Issues in tagging or indexing with a taxonomy, thesaurus, or controlled vocabulary, both manual and automated.
Presented at Taxonomy Boot Camp conference 2019
Opening presentation for Track 1 of the 2012 Taxonomy Boot Camp, October 16, 2012.
Presented by Marjorie M.K. Hlava of Access Innovations and Heather Hedden of Hedden Information Management.
Presentation given on March 12, 2013 by Marjorie M.K. Hlava of Access Innovations, Inc. as a webinar for the San Francisco chapter of the Special Libraries Association.
An overview of the differences between an ontology and a taxonomy, the Ontology Web Language (OWL), and the appropriate times to use an ontology. Presented by Dr. Jay Ven Eman at the 2012 Data Harmony User Group meeting on February 9, 2012 at the Access Innovations, Inc. offices.
Mapping, Merging, and Multilingual TaxonomiesHeather Hedden
SLA 2012 conference presentation sponsored by the Taxonomy Division at SLA Chicago July 16 and re-presented at the New England Chapter on October 13, 2012.
Presentation to the Information & Knowledge Management Society in Singapore, March 2008, on approaches to integrating controlled and uncontrolled vocabularies.
Content Management, Metadata and Semantic WebAmit Sheth
Keynote given at NetObjectDays conference, Erfurt, September 11, 2001.
One of the earliest keynotes discussing commercial semantic web technologies, semantic web applications (including semantic search, semantic targeting, semantic content management). Prof. Sheth started a Semantic Web company Taalee, Inc. in 1999 (Product was MediaAnywhere A/V search engine),that merged to become Voquette in 2001 (product was called SCORE), Semagix in 2004 (product was called Semagix Freedom), and then Fortent in 2006 (products included Know Your Customers). Additional details can be found in U.S. Patent #6311194, 30 Oct. 2001 (filed 2000).
Note: the commercial system used "WorldModel" as at the time, business customers were not yet warm to "Ontology" - the concept/intent is the same. More recent information at http://knoesis.org
Click here to listen to the webcast - http://bit.ly/MdAzXd
DITA Tasks are often the most valuable content we create – especially when we present them in Support portals. But if end-users can’t find them they have no value – avoiding that requires classifying them with metadata and labels from a standard taxonomy.
Taxonomy and metadata can seem like scary or complex turf to the uninitiated – but they don’t have to be. In this 40-minute webinar, Paul Wlodarczyk will walk you through a simple process to begin to assemble a basic taxonomy of controlled vocabularies for tagging your DITA Tasks.
You will learn:
The most critical metadata for classifying tasks – regardless of your industry
How to use tools that you already own to build your taxonomy
Simple rules for keeping your terms consistent
Using existing lists of terms so you don’t have to build a taxonomy from scratch
Identifying Security Risks Using Auto-Tagging and Text AnalyticsEnterprise Knowledge
On Thursday, November 10, Joe Hilger and Sara Duane spoke at Text Analytics Forum about identifying secure and confidential information using auto-tagging. Information security continues to grow in importance in today's society. We hear stories all of the time about hackers accessing private information from companies and government agencies. Every organization struggles with employees who store confidential information on insecure network drives or cloud drives. Joe and Sara did a project with a federal research organization that used auto-tagging and text analytics to identify confidential information that needed to be moved to a secure location. During the presentation, we shared the approach we took to identify this information and how we made sure that the tagging and text analytics were accurate. Attendees learned best practices for designing a taxonomy for auto-tagging and tuning auto-tagging as well as ways to identify confidential information across the enterprise.
IWMW 2002: The Value of Metadata and How to Realise ItIWMW
Workshop session at IWMW 2002 on "The Value of Metadata and How to Realise It" facilitated by Dennis Nicholson.
See http://www.ukoln.ac.uk/web-focus/events/workshops/webmaster-2002/materials/nicholson/
Overview of how to improve records management and findability using SharePoint 2010, EMM, Term Store and Content Types and ConceptClassifier for SharePoint.
Simplified Technical English: How Standardizing Content Saves Translation Cos...Scott Abel
Presented by Berry Braster at Documentation and Training Life Sciences, June 23-26, 2008 in Indianapolis.
Products and processes are becoming more complex, while companies worldwide increasingly have to deal with different languages.
Although technical documentation is predominantly written in English, it can often be difficult to understand due to its complexity: complex sentence structures, multiple meanings and synonyms easily result in confusion. In addition, many readers’ command of English can fall below the level of those who created the documentation, which especially applies to non-native English speakers.
For documents that have to be translated into other languages, one cannot expect the translation to be of great quality if the source file was ambiguous to begin with.
As a result, these are often the consequences:
* Confused and frustrated readers
* Safety risk
* Damage during operation or maintenance
* Liability claims
* High localization costs
* Unsatisfactory translations
* Higher training support costs
* Ineffective customer service
* Unanticipated costs as a result of miscommunication
In this context, clear and effective writing has become more important than ever before.
Simplified Technical English (also known as Controlled English) is a method of writing that makes technical English easy to understand. The use of Simplified Technical English stimulates (global) acceptance of technical documentation as it improves readability and prevents misunderstandings and misinterpretations.
The Role of Taxonomy and Ontology in Semantic Layers - Heather Hedden.pdfEnterprise Knowledge
Heather Hedden, Senior Consultant at Enterprise Knowledge, presented “The Role of Taxonomy and Ontology in Semantic Layers” at a webinar hosted by Progress Semaphore on April 16, 2024.
Taxonomies at their core enable effective tagging and retrieval of content, and combined with ontologies they extend to the management and understanding of related data. There are even greater benefits of taxonomies and ontologies to enhance your enterprise information architecture when applying them to a semantic layer. A survey by DBP-Institute found that enterprises using a semantic layer see their business outcomes improve by four times, while reducing their data and analytics costs. Extending taxonomies to a semantic layer can be a game-changing solution, allowing you to connect information silos, alleviate knowledge gaps, and derive new insights.
Hedden, who specializes in taxonomy design and implementation, presented how the value of taxonomies shouldn’t reside in silos but be integrated with ontologies into a semantic layer.
Learn about:
- The essence and purpose of taxonomies and ontologies in information and knowledge management;
- Advantages of semantic layers leveraging organizational taxonomies; and
- Components and approaches to creating a semantic layer, including the integration of taxonomies and ontologies
TEXT MINING-TAPPING HIDDEN KERNELS OF WISDOMITC Infotech
This paper discusses how automatic document classification, information retrieval, word frequency calculation, sentiment analysis, topic modelling and trend analysis can be utilized for root cause analysis, devising competitive strategies, enhancing customer experience and so on.
FEDSPUG Meeting: Intelligent Metadata and Auto-classification in Records Mana...Concept Searching, Inc
Auto-classification removes a burden from IT teams and end users. But what and where is the content being classified? Then what happens?
Auto-classification not only organizes your content but also provides an environment where information governance and compliance policies, and processes, can be implemented enterprise-wide. With automatic multi-term metadata generation and powerful taxonomy tools, the positive
impact on your business is quickly realized.
As well as the visible impact of search improvement, the elimination of end user tagging reduces both productivity drain and tagging errors, to safeguard information that should be protected, such as confidential information or records.
Find out how to clean up, optimize, and organize your enterprise content, providing a framework
for effective records management.
* Metadata generation – why it is so important
* Auto-classification – why you can’t live without it
* Taxonomy approaches that are manageable – by the staff you already have
Introduction to Knowledge Graphs for Information Architects.pdfHeather Hedden
There is a growing interest in knowledge graphs to organize information and make it findable in organizations with large amounts of data and content. Unlike other data technologies, a knowledge graph has a structure that is typically based on a taxonomy and ontology, and thus should involve information architects. Knowledge graphs also have more benefits than information findability, including discovery, analysis, and recommendation. Knowledge graphs bring together content and data.
An enterprise knowledge graph involves a change in thinking about information and its access. Instead of designing information architecture in individual applications, an intranet, or website, a knowledge graph extracts data and links to content that exists in multiple different applications and repositories, linking them in a web or graph-like structure by means of customized, semantic relationships.
Thesauri for Indexing Support / Thesauri zur Unterstützung der Registererstel...Heather Hedden
The benefits and uses of thesauri for indexing and information retrieval.
Die Vorteile und Verwendungen von Thesauri für die Registererstellung (Indizierung) und das Abrufen von Informationen. (Bilingual / Zweisprachige)
An introduction to SKOS (Simple Knowledge Organization System), a W3C recommendation/standard for interoperability of controlled vocabularies. Presented at Taxonomy Boot Camp London 2018
The use of indexed Subjects to search, discover, or filter in library subscription databases of articles, such as those of Gale, presented at "Computers in Libraries" conference April 18, 2018.
Alt. GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using ...James Anderson
Effective Application Security in Software Delivery lifecycle using Deployment Firewall and DBOM
The modern software delivery process (or the CI/CD process) includes many tools, distributed teams, open-source code, and cloud platforms. Constant focus on speed to release software to market, along with the traditional slow and manual security checks has caused gaps in continuous security as an important piece in the software supply chain. Today organizations feel more susceptible to external and internal cyber threats due to the vast attack surface in their applications supply chain and the lack of end-to-end governance and risk management.
The software team must secure its software delivery process to avoid vulnerability and security breaches. This needs to be achieved with existing tool chains and without extensive rework of the delivery processes. This talk will present strategies and techniques for providing visibility into the true risk of the existing vulnerabilities, preventing the introduction of security issues in the software, resolving vulnerabilities in production environments quickly, and capturing the deployment bill of materials (DBOM).
Speakers:
Bob Boule
Robert Boule is a technology enthusiast with PASSION for technology and making things work along with a knack for helping others understand how things work. He comes with around 20 years of solution engineering experience in application security, software continuous delivery, and SaaS platforms. He is known for his dynamic presentations in CI/CD and application security integrated in software delivery lifecycle.
Gopinath Rebala
Gopinath Rebala is the CTO of OpsMx, where he has overall responsibility for the machine learning and data processing architectures for Secure Software Delivery. Gopi also has a strong connection with our customers, leading design and architecture for strategic implementations. Gopi is a frequent speaker and well-known leader in continuous delivery and integrating security into software delivery.
Goodbye Windows 11: Make Way for Nitrux Linux 3.5.0!SOFTTECHHUB
As the digital landscape continually evolves, operating systems play a critical role in shaping user experiences and productivity. The launch of Nitrux Linux 3.5.0 marks a significant milestone, offering a robust alternative to traditional systems such as Windows 11. This article delves into the essence of Nitrux Linux 3.5.0, exploring its unique features, advantages, and how it stands as a compelling choice for both casual users and tech enthusiasts.
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/
Securing your Kubernetes cluster_ a step-by-step guide to success !KatiaHIMEUR1
Today, after several years of existence, an extremely active community and an ultra-dynamic ecosystem, Kubernetes has established itself as the de facto standard in container orchestration. Thanks to a wide range of managed services, it has never been so easy to set up a ready-to-use Kubernetes cluster.
However, this ease of use means that the subject of security in Kubernetes is often left for later, or even neglected. This exposes companies to significant risks.
In this talk, I'll show you step-by-step how to secure your Kubernetes cluster for greater peace of mind and reliability.
In the rapidly evolving landscape of technologies, XML continues to play a vital role in structuring, storing, and transporting data across diverse systems. The recent advancements in artificial intelligence (AI) present new methodologies for enhancing XML development workflows, introducing efficiency, automation, and intelligent capabilities. This presentation will outline the scope and perspective of utilizing AI in XML development. The potential benefits and the possible pitfalls will be highlighted, providing a balanced view of the subject.
We will explore the capabilities of AI in understanding XML markup languages and autonomously creating structured XML content. Additionally, we will examine the capacity of AI to enrich plain text with appropriate XML markup. Practical examples and methodological guidelines will be provided to elucidate how AI can be effectively prompted to interpret and generate accurate XML markup.
Further emphasis will be placed on the role of AI in developing XSLT, or schemas such as XSD and Schematron. We will address the techniques and strategies adopted to create prompts for generating code, explaining code, or refactoring the code, and the results achieved.
The discussion will extend to how AI can be used to transform XML content. In particular, the focus will be on the use of AI XPath extension functions in XSLT, Schematron, Schematron Quick Fixes, or for XML content refactoring.
The presentation aims to deliver a comprehensive overview of AI usage in XML development, providing attendees with the necessary knowledge to make informed decisions. Whether you’re at the early stages of adopting AI or considering integrating it in advanced XML development, this presentation will cover all levels of expertise.
By highlighting the potential advantages and challenges of integrating AI with XML development tools and languages, the presentation seeks to inspire thoughtful conversation around the future of XML development. We’ll not only delve into the technical aspects of AI-powered XML development but also discuss practical implications and possible future directions.
The Art of the Pitch: WordPress Relationships and SalesLaura Byrne
Clients don’t know what they don’t know. What web solutions are right for them? How does WordPress come into the picture? How do you make sure you understand scope and timeline? What do you do if sometime changes?
All these questions and more will be explored as we talk about matching clients’ needs with what your agency offers without pulling teeth or pulling your hair out. Practical tips, and strategies for successful relationship building that leads to closing the deal.
Threats to mobile devices are more prevalent and increasing in scope and complexity. Users of mobile devices desire to take full advantage of the features
available on those devices, but many of the features provide convenience and capability but sacrifice security. This best practices guide outlines steps the users can take to better protect personal devices and information.
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.
Encryption in Microsoft 365 - ExpertsLive Netherlands 2024Albert Hoitingh
In this session I delve into the encryption technology used in Microsoft 365 and Microsoft Purview. Including the concepts of Customer Key and Double Key Encryption.
UiPath Test Automation using UiPath Test Suite series, part 5DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 5. In this session, we will cover CI/CD with devops.
Topics covered:
CI/CD with in UiPath
End-to-end overview of CI/CD pipeline with Azure devops
Speaker:
Lyndsey Byblow, Test Suite Sales Engineer @ UiPath, Inc.
UiPath Test Automation using UiPath Test Suite series, part 6DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 6. In this session, we will cover Test Automation with generative AI and Open AI.
UiPath Test Automation with generative AI and Open AI webinar offers an in-depth exploration of leveraging cutting-edge technologies for test automation within the UiPath platform. Attendees will delve into the integration of generative AI, a test automation solution, with Open AI advanced natural language processing capabilities.
Throughout the session, participants will discover how this synergy empowers testers to automate repetitive tasks, enhance testing accuracy, and expedite the software testing life cycle. Topics covered include the seamless integration process, practical use cases, and the benefits of harnessing AI-driven automation for UiPath testing initiatives. By attending this webinar, testers, and automation professionals can gain valuable insights into harnessing the power of AI to optimize their test automation workflows within the UiPath ecosystem, ultimately driving efficiency and quality in software development processes.
What will you get from this session?
1. Insights into integrating generative AI.
2. Understanding how this integration enhances test automation within the UiPath platform
3. Practical demonstrations
4. Exploration of real-world use cases illustrating the benefits of AI-driven test automation for UiPath
Topics covered:
What is generative AI
Test Automation with generative AI and Open AI.
UiPath integration with generative AI
Speaker:
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
zkStudyClub - Reef: Fast Succinct Non-Interactive Zero-Knowledge Regex ProofsAlex Pruden
This paper presents Reef, a system for generating publicly verifiable succinct non-interactive zero-knowledge proofs that a committed document matches or does not match a regular expression. We describe applications such as proving the strength of passwords, the provenance of email despite redactions, the validity of oblivious DNS queries, and the existence of mutations in DNA. Reef supports the Perl Compatible Regular Expression syntax, including wildcards, alternation, ranges, capture groups, Kleene star, negations, and lookarounds. Reef introduces a new type of automata, Skipping Alternating Finite Automata (SAFA), that skips irrelevant parts of a document when producing proofs without undermining soundness, and instantiates SAFA with a lookup argument. Our experimental evaluation confirms that Reef can generate proofs for documents with 32M characters; the proofs are small and cheap to verify (under a second).
Paper: https://eprint.iacr.org/2023/1886
FIDO Alliance Osaka Seminar: The WebAuthn API and Discoverable Credentials.pdf
Taxonomies for Human vs Auto-Indexing
1. Taxonomies for
Human vs. Auto-Indexing
Taxonomy Boot Camp, September 25, 2008, San Jose, CA
Heather Hedden
Hedden Information Management
heather@hedden.net