This paper will introduce a number of predefined elements for the topic mas data model. The paper will start with a short introduction of the level and possible context of these elements. Then the problem the elements proposed here are supposed to solve will be described. This will be the problem of adding temporal qualifications to a topic map. A set of criteria for the quality of a possible solution will be given and possible solutions will be evaluated against these criteria. This will lead to the final proposal for adding temporal qualification to a topic map.
his paper describes TM/XML, an XML syntax for topic maps that is very close to the natural, or colloquial, XML representation the information in the topic map. It can be used to integrate non-topic map systems with topic map systems, and also to easily create topic maps from XML data.
Currently, the most common way to programmatically access Topic Maps data is the use of a Topic Maps API, like TMAPI. Another approach, besides the use of a query language like TMQL, is the encapsulation of the Topic Maps related code in domain-specific model classes. This concept is similar to object-relational mapping (ORM) which encapsulates access to a relational database inside the model classes. These techniques decouple the data store specific code from the business logic. For ORM, there are several prevalent design patterns, most notable the Active Record pattern by Fowler. For Topic Maps, no such pattern is established. This paper introduces Active Topic Maps, a pattern for topic maps -- object mapping, the domain-specific language ActiveTMML to define such a mapping and a prototypical implementation, called ActiveTM. ActiveTM is based on Ruby Topic Maps and also supports the generation of web-formulars based on ActiveTMML definitions. This full-featured software stack greatly improves the development productivity of Topic Maps based portals compared to other solutions.
Real-time Generation of Topic Maps from Speech Streamstmra
Topic Maps are means for representing sophisticated indexes of any information collections for the purpose of semantic information. The creation of Topic Maps bases on a theoretic fundament which is introduced in this paper. Moreover, the Observation Principle is the result of a deep investigation of the Subject Equality Decision Chain will be discussed as well as the Semantic Talk System which generates sophisticated, conceptual indexes of speech streams in realtime. This paper describes how these indexes are created, how they are represented as Topic Maps and how they can be used for integration purposes.
Connecting Topincs - Using transclusion to connect proxy spacestmra
Topincs is a software system for agile and distributed knowledge management on top of the common web infrastructure and the Topic Maps Data Model. It segments knowledge into stores and offers users a way to establish a temporary connection between stores through transclusion and merging. This allows them to easily copy topics and statements. Through this mechanism later acts of integration are simplified, because of matching item identifiers. Furthermore transclusion can be used to create permanent connections between stores.
his paper describes TM/XML, an XML syntax for topic maps that is very close to the natural, or colloquial, XML representation the information in the topic map. It can be used to integrate non-topic map systems with topic map systems, and also to easily create topic maps from XML data.
Currently, the most common way to programmatically access Topic Maps data is the use of a Topic Maps API, like TMAPI. Another approach, besides the use of a query language like TMQL, is the encapsulation of the Topic Maps related code in domain-specific model classes. This concept is similar to object-relational mapping (ORM) which encapsulates access to a relational database inside the model classes. These techniques decouple the data store specific code from the business logic. For ORM, there are several prevalent design patterns, most notable the Active Record pattern by Fowler. For Topic Maps, no such pattern is established. This paper introduces Active Topic Maps, a pattern for topic maps -- object mapping, the domain-specific language ActiveTMML to define such a mapping and a prototypical implementation, called ActiveTM. ActiveTM is based on Ruby Topic Maps and also supports the generation of web-formulars based on ActiveTMML definitions. This full-featured software stack greatly improves the development productivity of Topic Maps based portals compared to other solutions.
Real-time Generation of Topic Maps from Speech Streamstmra
Topic Maps are means for representing sophisticated indexes of any information collections for the purpose of semantic information. The creation of Topic Maps bases on a theoretic fundament which is introduced in this paper. Moreover, the Observation Principle is the result of a deep investigation of the Subject Equality Decision Chain will be discussed as well as the Semantic Talk System which generates sophisticated, conceptual indexes of speech streams in realtime. This paper describes how these indexes are created, how they are represented as Topic Maps and how they can be used for integration purposes.
Connecting Topincs - Using transclusion to connect proxy spacestmra
Topincs is a software system for agile and distributed knowledge management on top of the common web infrastructure and the Topic Maps Data Model. It segments knowledge into stores and offers users a way to establish a temporary connection between stores through transclusion and merging. This allows them to easily copy topics and statements. Through this mechanism later acts of integration are simplified, because of matching item identifiers. Furthermore transclusion can be used to create permanent connections between stores.
In order to cope with large-scale topic maps that store a lot of information, it is necessary to utilize topic map databases. Although, database management systems should provide users with external schema functions such as views, topic map databases do not have such functions. In this paper, we propose a method of implementing a view function, by focusing on the fact that the substructure of topic maps can be regarded as a topic map. In order to realize the idea, we developed an access control system based on the view function. Through an experiment to measure the execution time, we confirmed that these functions work correctly and have little effect on the execution time.
Subject Headings make information to be topic mapstmra
This paper reports the efforts to make topic maps from Subject Headings (SHs) and discuss practical use of them for organizing information and knowledge. SHs are often maintained by libraries and used in bibliographic records. SHs are thesauri and they are well organized. Fortunately some SHs are published on the Web. We transformed them to topic maps. Usually each subject in SHs has own ID. It can play PSI role. By keeping the relationships included in SHs such as Broader-Narrower, Related, USE-UF etc in topic maps, information or knowledge can be linked together and organized according to the structure of SHs. In other words, by using SHs information and knowledge can be topic maps easily.
Topic Merge Scenarios for Knowledge Federationtmra
This paper introduces a socio-technical infrastructure, described as a boundary infrastructure, based on improvements to existing and emerging Issue-based Information Systems (IBIS) conversation platforms.
In short, Maiana is the first social Topic Maps browser to share, mix and explore data interlinked. The platform is based on the Ruby on Rails web technology running with JRuby and uses the Topic Maps engine RTM. RTM manages the connections to several other Topic Maps engines like Ontopia, MaJorToM and Hatana.
Evaluation of Instances Asset in a Topic Maps-Based Ontologytmra
In connection with structuring and sharing of knowledge in a form of ontologies the question of their assets evaluation occurs. This short paper presents the methodology of asset evaluation of individual instances in ontology based on standard of Topic Maps. The evaluation comes out of weights assignment to instances and associations in ontology and total weight calculation for individual instance and its surroundings. Searching results can be ranked according to this total weight expressing information asset of individual instance.
Defining Domain-Specific Facets for Topic Maps With TMQL Path Expressionstmra
The automatic generation of facets works fairly bad for fine-modeled ontologies, in which not all information concerning a single Topic is available through occurrences and direct associations. In this paper, we share our conception of using TMQL path expressions for the definition of domain-specific facets by means of using standard-based Topic Maps technologies. The generated facets must be evaluated, even though they are defined manually by a domain expert. We therefore propose metrics for automatic evaluation of the defined facets, as well as a mechanism for using automatically stored user feedback.
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
In order to cope with large-scale topic maps that store a lot of information, it is necessary to utilize topic map databases. Although, database management systems should provide users with external schema functions such as views, topic map databases do not have such functions. In this paper, we propose a method of implementing a view function, by focusing on the fact that the substructure of topic maps can be regarded as a topic map. In order to realize the idea, we developed an access control system based on the view function. Through an experiment to measure the execution time, we confirmed that these functions work correctly and have little effect on the execution time.
Subject Headings make information to be topic mapstmra
This paper reports the efforts to make topic maps from Subject Headings (SHs) and discuss practical use of them for organizing information and knowledge. SHs are often maintained by libraries and used in bibliographic records. SHs are thesauri and they are well organized. Fortunately some SHs are published on the Web. We transformed them to topic maps. Usually each subject in SHs has own ID. It can play PSI role. By keeping the relationships included in SHs such as Broader-Narrower, Related, USE-UF etc in topic maps, information or knowledge can be linked together and organized according to the structure of SHs. In other words, by using SHs information and knowledge can be topic maps easily.
Topic Merge Scenarios for Knowledge Federationtmra
This paper introduces a socio-technical infrastructure, described as a boundary infrastructure, based on improvements to existing and emerging Issue-based Information Systems (IBIS) conversation platforms.
In short, Maiana is the first social Topic Maps browser to share, mix and explore data interlinked. The platform is based on the Ruby on Rails web technology running with JRuby and uses the Topic Maps engine RTM. RTM manages the connections to several other Topic Maps engines like Ontopia, MaJorToM and Hatana.
Evaluation of Instances Asset in a Topic Maps-Based Ontologytmra
In connection with structuring and sharing of knowledge in a form of ontologies the question of their assets evaluation occurs. This short paper presents the methodology of asset evaluation of individual instances in ontology based on standard of Topic Maps. The evaluation comes out of weights assignment to instances and associations in ontology and total weight calculation for individual instance and its surroundings. Searching results can be ranked according to this total weight expressing information asset of individual instance.
Defining Domain-Specific Facets for Topic Maps With TMQL Path Expressionstmra
The automatic generation of facets works fairly bad for fine-modeled ontologies, in which not all information concerning a single Topic is available through occurrences and direct associations. In this paper, we share our conception of using TMQL path expressions for the definition of domain-specific facets by means of using standard-based Topic Maps technologies. The generated facets must be evaluated, even though they are defined manually by a domain expert. We therefore propose metrics for automatic evaluation of the defined facets, as well as a mechanism for using automatically stored user feedback.
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
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.
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.
Enchancing adoption of Open Source Libraries. A case study on Albumentations.AIVladimir Iglovikov, Ph.D.
Presented by Vladimir Iglovikov:
- https://www.linkedin.com/in/iglovikov/
- https://x.com/viglovikov
- https://www.instagram.com/ternaus/
This presentation delves into the journey of Albumentations.ai, a highly successful open-source library for data augmentation.
Created out of a necessity for superior performance in Kaggle competitions, Albumentations has grown to become a widely used tool among data scientists and machine learning practitioners.
This case study covers various aspects, including:
People: The contributors and community that have supported Albumentations.
Metrics: The success indicators such as downloads, daily active users, GitHub stars, and financial contributions.
Challenges: The hurdles in monetizing open-source projects and measuring user engagement.
Development Practices: Best practices for creating, maintaining, and scaling open-source libraries, including code hygiene, CI/CD, and fast iteration.
Community Building: Strategies for making adoption easy, iterating quickly, and fostering a vibrant, engaged community.
Marketing: Both online and offline marketing tactics, focusing on real, impactful interactions and collaborations.
Mental Health: Maintaining balance and not feeling pressured by user demands.
Key insights include the importance of automation, making the adoption process seamless, and leveraging offline interactions for marketing. The presentation also emphasizes the need for continuous small improvements and building a friendly, inclusive community that contributes to the project's growth.
Vladimir Iglovikov brings his extensive experience as a Kaggle Grandmaster, ex-Staff ML Engineer at Lyft, sharing valuable lessons and practical advice for anyone looking to enhance the adoption of their open-source projects.
Explore more about Albumentations and join the community at:
GitHub: https://github.com/albumentations-team/albumentations
Website: https://albumentations.ai/
LinkedIn: https://www.linkedin.com/company/100504475
Twitter: https://x.com/albumentations
Dr. Sean Tan, Head of Data Science, Changi Airport Group
Discover how Changi Airport Group (CAG) leverages graph technologies and generative AI to revolutionize their search capabilities. This session delves into the unique search needs of CAG’s diverse passengers and customers, showcasing how graph data structures enhance the accuracy and relevance of AI-generated search results, mitigating the risk of “hallucinations” and improving the overall customer journey.
How to Get CNIC Information System with Paksim Ga.pptxdanishmna97
Pakdata Cf is a groundbreaking system designed to streamline and facilitate access to CNIC information. This innovative platform leverages advanced technology to provide users with efficient and secure access to their CNIC details.
GridMate - End to end testing is a critical piece to ensure quality and avoid...ThomasParaiso2
End to end testing is a critical piece to ensure quality and avoid regressions. In this session, we share our journey building an E2E testing pipeline for GridMate components (LWC and Aura) using Cypress, JSForce, FakerJS…
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.
GraphSummit Singapore | The Future of Agility: Supercharging Digital Transfor...Neo4j
Leonard Jayamohan, Partner & Generative AI Lead, Deloitte
This keynote will reveal how Deloitte leverages Neo4j’s graph power for groundbreaking digital twin solutions, achieving a staggering 100x performance boost. Discover the essential role knowledge graphs play in successful generative AI implementations. Plus, get an exclusive look at an innovative Neo4j + Generative AI solution Deloitte is developing in-house.
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.
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.
Observability Concepts EVERY Developer Should Know -- DeveloperWeek Europe.pdfPaige Cruz
Monitoring and observability aren’t traditionally found in software curriculums and many of us cobble this knowledge together from whatever vendor or ecosystem we were first introduced to and whatever is a part of your current company’s observability stack.
While the dev and ops silo continues to crumble….many organizations still relegate monitoring & observability as the purview of ops, infra and SRE teams. This is a mistake - achieving a highly observable system requires collaboration up and down the stack.
I, a former op, would like to extend an invitation to all application developers to join the observability party will share these foundational concepts to build on:
Maruthi Prithivirajan, Head of ASEAN & IN Solution Architecture, Neo4j
Get an inside look at the latest Neo4j innovations that enable relationship-driven intelligence at scale. Learn more about the newest cloud integrations and product enhancements that make Neo4j an essential choice for developers building apps with interconnected data and generative AI.
Climate Impact of Software Testing at Nordic Testing DaysKari Kakkonen
My slides at Nordic Testing Days 6.6.2024
Climate impact / sustainability of software testing discussed on the talk. ICT and testing must carry their part of global responsibility to help with the climat warming. We can minimize the carbon footprint but we can also have a carbon handprint, a positive impact on the climate. Quality characteristics can be added with sustainability, and then measured continuously. Test environments can be used less, and in smaller scale and on demand. Test techniques can be used in optimizing or minimizing number of tests. Test automation can be used to speed up testing.
20240605 QFM017 Machine Intelligence Reading List May 2024
Temporal Qualification in Topic Maps
1. Introduction
Create a Standard?
Goals
Solution
Temporal Qualification in Topic Maps
Lutz Maicher and Christoph Teichmann
Topic Maps Lab Leipzig
IMPRS Neurocom Leipzig
12. November 2009
Lutz Maicher and Christoph Teichmann Temporal Qualification in Topic Maps
2. Introduction
Create a Standard?
Goals
Solution
1 Introduction
Predefined Constructions
Temporal Qualification
2 Create a Standard?
3 Goals
4 Solution
Lutz Maicher and Christoph Teichmann Temporal Qualification in Topic Maps
3. Introduction
Create a Standard? Predefined Constructions
Goals Predefined Constructions
Solution
Predefined Constructions:
automatic construction of topic maps
reasoning with topic maps
faster design of topic maps
optimization of topic maps user interfaces
Example:
supertype-subtype Relation
Lutz Maicher and Christoph Teichmann Temporal Qualification in Topic Maps
4. Introduction
Create a Standard? Predefined Constructions
Goals Predefined Constructions
Solution
Defined by:
mapping from Data to constructions
predefined PSIs for the types
Lutz Maicher and Christoph Teichmann Temporal Qualification in Topic Maps
5. Introduction
Create a Standard? Predefined Constructions
Goals Predefined Constructions
Solution
Example Problem:
Temporal Qualifications
Lutz Maicher and Christoph Teichmann Temporal Qualification in Topic Maps
6. Introduction
Create a Standard? Predefined Constructions
Goals Predefined Constructions
Solution
What is included by this type of information:
all connections to the temporal domain
should include information about referents and topic map
constructs
also interesting: validity information
should cover all Topic Map constructs
Lutz Maicher and Christoph Teichmann Temporal Qualification in Topic Maps
7. Introduction
Create a Standard?
Goals
Solution
Why a standard for this problem is necessary:
Temporal Qualification is common
quite natural for reasoning and ordering
information can often be extracted automatically
Lutz Maicher and Christoph Teichmann Temporal Qualification in Topic Maps
8. Introduction
Create a Standard?
Goals
Solution
Why one standard for all Problems?
similar information is in similar ’places’
conceptual simplicity
easy to learn for Topic Map Designers
least assumptions about the Topic Map Data Model
Lutz Maicher and Christoph Teichmann Temporal Qualification in Topic Maps
9. Introduction
Create a Standard?
Goals
Solution
What should a good Standard do?
minimal with respect to new PSIs introduced
minimal with respect to constructions needed to create an
instance
Temporal Domain should be modeled with Topics
should be possible to add temporal information to any
construct
multiple temporal qualifications should be possible
information about temporal information should be possible
no extensions to the Topic Maps Data Model allowed
Lutz Maicher and Christoph Teichmann Temporal Qualification in Topic Maps
10. Introduction
Create a Standard?
Goals
Solution
Our Proposal:
create topics for temporal information
create associations of appropriate type to connect time to
topics
use reifier for all other constructs
Lutz Maicher and Christoph Teichmann Temporal Qualification in Topic Maps
11. Introduction
Create a Standard?
Goals
Solution
Example:
John;
http://www.foo.bar/John;
- "John Johnson";
AccountNumber:’1234567’ – Reifier: Reifier1.
lived(person:John,birth:01.02.1904,death:05.06.1977).
Reifier;
http://www.foo.bar/Reifier1.
collected_at(collected:Reifier,collection_time:08.09.1967).
Lutz Maicher and Christoph Teichmann Temporal Qualification in Topic Maps
12. Introduction
Create a Standard?
Goals
Solution
not the simplest approach with respect to locators or
constructions
meets all other criteria
types of information can be distinguished by supertype-subtype
relation
Lutz Maicher and Christoph Teichmann Temporal Qualification in Topic Maps
13. Introduction
Create a Standard?
Goals
Solution
1 The subtypes of the topic that has
pred/meta-temporal-qualification as its subject identifier
should be the types of those associations that represent
temporal meta information.
2 The subtypes of the topic that has
pred/domain-temporal-qualification as its subject identifier
should be the types of those associations that represent
domain related temporal information.
3 The subtypes of the topic that has
pred/validity-temporal-qualification as its subject identifier
should be the types of those associations that represent
temporal information about validity.
Lutz Maicher and Christoph Teichmann Temporal Qualification in Topic Maps
14. Introduction
Create a Standard?
Goals
Solution
1 roles of some subtype of the topic that has pred/Timed as its
subject identifier should be the roles of topics that represent
elements to which a temporal qualification should be added.
There is no restriction to the type of players for these roles.
2 roles of some subtype of the topic that has pred/Time as its
subject identifier should be the roles of topics that represent
the date which is used in a temporal qualification. These roles
should only be played by topics that represent temporal
information.
Lutz Maicher and Christoph Teichmann Temporal Qualification in Topic Maps
15. Introduction
Create a Standard?
Goals
Solution
discussed the idea of predefined constructions for Topic Maps
one example: temporal qualification
proposed solution: association with topics representing
temporal information and the use of reifier
Lutz Maicher and Christoph Teichmann Temporal Qualification in Topic Maps