Practical applications of controlled natural language with description logics and OWL. FluentEditor and OASE.
Presented at CNL2012, Zurich.
- Crisis (Emergency) Management – Controlled Natural Language Component
- Ontorion – Semantic Knowledge Management Framework
- OASE - semiotic framework for software development
Application of Semantic Knowledge Management System in Selected Areas of Pol...Cognitum
Application of Semantic Knowledge Management System in Selected Areas of Polish Public Administration
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Zastosowanie semantycznego systemu zarządzania wiedzą w wybranych obszarach polskiej administracji publicznej
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http://www.cognitum.eu/semantics/
International workshop on semantic sensor web 2011ITACA-TSB
This document discusses enabling semantic ecosystems among heterogeneous cognitive networks. It describes cognitive networks and their potential to operate at large scales to solve problems across various domains. However, current approaches have limitations like a lack of social perspectives, static coverage models, and obsolete views of resources. Semantic technologies can help address these issues by improving interoperability and enabling knowledge building and representation across distributed systems. This allows for relating heterogeneous data from different sources as part of a unified knowledge ecosystem.
Cognitum is a Polish company that develops knowledge management systems and tools for heterogeneous data acquisition and cloud testing. It partners with universities and government agencies and customers include the Polish Agency for Enterprise Development. Cognitum's main products are FluentEditor for OWL, an ontology editor using controlled natural language, and Ontorion Knowledge Server. It also does media monitoring, internet and text analysis, and cloud computing applications including web application testing. Cognitum researches knowledge management systems in fields like mediation and healthcare decision support.
Presentatie Internet of Things Conferentie 9 april 2013 door Ben van Lier van...Centric
Ben van Lier, Internet of Things-expert van Centric, sprak tijdens de tweede Internet of Things-conferentie die op dinsdag 9 april werd gehouden in Rotterdam.
Naturalized Epistemology North American Computing and Philosophy 2007 Gordana Dodig-Crnkovic
Gordana Dodig-Crnkovic
Knowledge Generation as Natural Computation,
Journal of Systemics, Cybernetics and Informatics, Vol 6, No 2, 2008
http://www.iiisci.org/Journal/CV$/sci/pdfs/G774PI.pdf
This document provides summaries of topics related to artificial intelligence including machine learning, knowledge representation, robotics, computer vision, knowledge reasoning, natural language processing, automation, and neural networks. It describes machine learning as teaching computers by giving them access to data to set their own behavior. Knowledge representation is defined as representing knowledge through facts and representations of facts. Robotics combines advances in engineering, materials science, manufacturing and algorithms. Computer vision involves understanding digital images and video. Knowledge reasoning refers to acquiring knowledge through experience or education. Natural language processing involves interactions between computers and human languages. Automation uses control systems to operate equipment with minimal human intervention. Neural networks are computational models inspired by biological neural networks in the nervous system.
Application of Semantic Knowledge Management System in Selected Areas of Pol...Cognitum
Application of Semantic Knowledge Management System in Selected Areas of Polish Public Administration
---
Zastosowanie semantycznego systemu zarządzania wiedzą w wybranych obszarach polskiej administracji publicznej
---
http://www.cognitum.eu/semantics/
International workshop on semantic sensor web 2011ITACA-TSB
This document discusses enabling semantic ecosystems among heterogeneous cognitive networks. It describes cognitive networks and their potential to operate at large scales to solve problems across various domains. However, current approaches have limitations like a lack of social perspectives, static coverage models, and obsolete views of resources. Semantic technologies can help address these issues by improving interoperability and enabling knowledge building and representation across distributed systems. This allows for relating heterogeneous data from different sources as part of a unified knowledge ecosystem.
Cognitum is a Polish company that develops knowledge management systems and tools for heterogeneous data acquisition and cloud testing. It partners with universities and government agencies and customers include the Polish Agency for Enterprise Development. Cognitum's main products are FluentEditor for OWL, an ontology editor using controlled natural language, and Ontorion Knowledge Server. It also does media monitoring, internet and text analysis, and cloud computing applications including web application testing. Cognitum researches knowledge management systems in fields like mediation and healthcare decision support.
Presentatie Internet of Things Conferentie 9 april 2013 door Ben van Lier van...Centric
Ben van Lier, Internet of Things-expert van Centric, sprak tijdens de tweede Internet of Things-conferentie die op dinsdag 9 april werd gehouden in Rotterdam.
Naturalized Epistemology North American Computing and Philosophy 2007 Gordana Dodig-Crnkovic
Gordana Dodig-Crnkovic
Knowledge Generation as Natural Computation,
Journal of Systemics, Cybernetics and Informatics, Vol 6, No 2, 2008
http://www.iiisci.org/Journal/CV$/sci/pdfs/G774PI.pdf
This document provides summaries of topics related to artificial intelligence including machine learning, knowledge representation, robotics, computer vision, knowledge reasoning, natural language processing, automation, and neural networks. It describes machine learning as teaching computers by giving them access to data to set their own behavior. Knowledge representation is defined as representing knowledge through facts and representations of facts. Robotics combines advances in engineering, materials science, manufacturing and algorithms. Computer vision involves understanding digital images and video. Knowledge reasoning refers to acquiring knowledge through experience or education. Natural language processing involves interactions between computers and human languages. Automation uses control systems to operate equipment with minimal human intervention. Neural networks are computational models inspired by biological neural networks in the nervous system.
A Paper Presentation On Artificial Intelligence And Global Risk Paper Present...guestac67362
The document contains information on two topics: artificial intelligence and software risk management. It discusses the history of AI, knowledge representation, knowledge manipulation, and applications of AI. It also defines software risk management, describes the concept of positive risk, discusses common software risks, and outlines the five stages of risk management capability.
This document discusses context awareness and context-aware systems. It begins by defining context as the surrounding environment, location, or situation that determines the meaning of an event. An entity is defined as anything relevant to the interaction between a user and an application, including the user and application themselves.
The document then classifies different types of context, including computing, user, environmental, and physical context. It explains that context awareness allows a system to sense and act upon information about its environment. Context-aware systems can take automatic action or provide intelligent assistance based on sensed context like location, time, temperature, or user identity.
Finally, the document discusses challenges in building context-aware systems and applications, such as representing context
This document discusses context awareness and context-aware computing. It defines context as any information that can help characterize an entity's situation, including a user's environment, location, identity, and activity. Context-aware systems use context to provide relevant information and services to users. The document classifies different types of context and discusses how context-aware systems sense context, interpret it ("think"), and take appropriate actions. It also outlines some challenges in building context-aware applications, such as accurately representing and inferring context.
- The document discusses the vision of developing smart modeling environments to support engineering and scientific work, with a focus on model-driven engineering.
- Key challenges include developing exploratory, literate, and live programming capabilities; multi-view, polyglot, collaborative modeling frameworks; and modeling platforms for data-centric applications.
- Example applications discussed are systems engineering and design space exploration, DevOps and digital twins, and modeling for smart cyber-physical systems and sustainability evaluation.
The document discusses modelling large complex systems using multi-agent technology. It describes complex systems as consisting of many interdependent and autonomous components that exhibit emergent and unpredictable behavior from nonlinear interactions. The only technology capable of accurately modelling complex systems is said to be multi-agent systems, where software agents interact and self-organize to produce intelligent emergent behavior. Several examples are given of multi-agent models being used successfully in commercial applications.
The document outlines a proposed "NevroNet" technology that would allow direct brain-computer interfaces and collective thinking on a civilizational scale. It calls for international collaboration to help guide the development of this emerging technology so it can enhance human consciousness and development, rather than enable total control over thoughts. The document predicts key technologies like brain-computer interfaces, virtual reality, and artificial intelligence that could contribute to NevroNet's creation by 2020 and urges stakeholders to get involved in planning how this transformative technology is architected and implemented.
La présentation de Jean-Paul de Vooght à la soirée Citoyens Capteurs de la Ca...CitoyensCapteurs
This document discusses citizen sensing and how it enables participatory urbanism. It describes how citizens can use various sensors located around the city to monitor environmental systems and make that data knowable and shareable. It emphasizes the need for a systemic approach using conceptual models and simulations to understand complex urban systems. Citizen sensing requires a collaborative approach with multiple roles for observers, data scientists, and domain experts.
SLE 2012 Keynote: Cognitive and Social Challenges of Ontology Use in the Biom...Margaret-Anne Storey
ABSTRACT: Ontologies can provide a conceptualization of a domain leading to a common vocabulary for communities of researchers and important standards to facilitate computation, software interoperability and data reuse. Most successful ontologies, especially those that have been developed by diverse communities over long periods of time, are typically large and complex. To address this complexity, ontology authoring and browsing tools must provide cognitive support to improve comprehension of the many concepts and relationships in ontologies. Also, ontology tools must support collaboration as the heart of ontology design and use is centered on community consensus.
In this talk, I will describe how standardized ontologies are developed and used in the biomedical and clinical domains to aid in scientific and medical discoveries. Specifically, I will present how the US National Center for Biomedical Ontology has designed the BioPortal ontology library (and associated technologies) to promote the use of standardized ontologies and tools. I will review how BioPortal and other ontology tools use established and novel visualization and collaboration approaches to improve ontology authoring and data curation activities. I will also discuss an ambitious project by the World Health Organization that leverages the use of social media to broaden participation in the development of the next version of the International Classification of Diseases. To conclude, I will discuss the challenges and opportunities that arise from using ontologies to bridge communities that manage and curate important information resources.
The document summarizes details about the CogInfoCom 2014 conference held in Vietri sul Mare, Italy from November 5-7, 2014. It lists the chairpersons and supporting institutions. It provides statistics that 287 authors attended from various countries in Europe, Asia, North and South America, and the Middle East. The document defines cognitive infocommunications and lists topics that were welcome at the conference, including cognitive sciences, human-computer interaction, and emerging topics like socio-cognitive ICT and cognitive biases in CogInfoCom systems.
Towards Joint Doctrine for Military InformaticsBarry Smith
This document discusses using semantic enhancement and ontologies to integrate siloed data from multiple sources. It describes challenges with current approaches that rely on creating a single "über-model" or virtual integration through a homogeneous data model. Instead, it proposes a virtual integration approach using a distributed cloud-based data representation and integration framework. This framework would use ontologies to semantically enhance data from different sources and provide a unified view without requiring physical data integration or homogenization. The goal is a scalable solution that allows for continuous semantic enrichment while preserving the original data and semantics.
Towards Joint Doctrine for Military InformaticsBarry Smith
This document discusses using semantic enhancement and ontologies to integrate siloed data from multiple sources. It describes challenges with current approaches that rely on creating a single "über-model" or virtual integration through a homogeneous data model. Instead, it proposes a virtual integration approach using ontologies to provide a comprehensive view of domains while keeping data in its original state. Data from different sources can be semantically tagged and integrated in a cloud-based system without heavy preprocessing. This allows flexible, scalable integration while preserving data and semantics from the original sources.
The document outlines the curricula for human-computer interaction provided by ACM SIGCHI in 1992. It covers topics such as human characteristics and information processing, computer system architecture including input/output devices and dialogue techniques, and the development process including design approaches, implementation, and evaluation. The curricula is organized into sections including use and context of computers, human characteristics, computer systems, and the development process. It provides details on subtopics within each section and related concepts to consider when designing human-computer interactions.
OEM Presentation - IA and Emergency ResponseNoreen Whysel
An introduction to Information Architecture and Emergency Response technologies presented at the NYC Office of Emergency Management for the Women's History Month Breakfast. This presentation is a companion to my IA Summit presentation Information Architecture and Emergency Response, which goes into more detail on the kinds of technologies used in Emergency Response.
IRJET - Sign Language Recognition using Neural NetworkIRJET Journal
This document presents a system for sign language recognition using neural networks. The system aims to recognize hand gestures in real-time and translate them into English words or sentences. It uses a convolutional neural network (CNN) algorithm to extract features from captured images of hand gestures and classify the gestures. The system was able to accurately recognize gestures with a classification rate of 92.4%. The system could help mute individuals communicate through translating sign language into text that could be read or understood by others. It may also assist blind individuals by allowing communication through speech recognition of the translated text.
This document discusses a call for proposals on self-awareness in autonomic systems. The call aims to create systems that can optimize performance and resource usage in response to changing conditions through awareness of both internal changes and external context. Key areas of research include developing awareness at the node level and enabling systems to dynamically adapt abstraction levels using self-awareness. The background discusses challenges around managing increasingly complex systems and the potential for awareness, autonomy, distribution and learning to address these challenges.
This document discusses big data and the techniques used to analyze large, complex data sets. It provides examples of the large amounts of data generated every hour by companies like Boeing and social media sites. Big data tools are needed to manage different types of data at high volumes and velocities with various analysis requirements. Common big data techniques discussed include machine learning, natural language processing, spatial analytics, predictive modeling, and visualization. The document emphasizes stating your business problem before looking at data and using multiple techniques for optimal results.
Introduction to Ontology Engineering with Fluent Editor 2014Cognitum
An introductory course for Ontology Engineering using Controlled Natural Language. Fluent Editor (FE) is an ontology editor that is a tool for editing and manipulating ontologies. The main feature of Fluent Editor is that it uses controlled natural language (CNL) to communicate with a user. Communication with CNL is a more suitable for human users alternative to XML-based OWL editors.
Cognitum Ontorion: Knowledge Representation and Reasoning SystemCognitum
Presentation from FEDERATED CONFERENCE ON COMPUTER SCIENCE AND INFORMATION SYSTEMS which was held in Lodz, between 13 - 16 of September, 2015.
Pawel Kaplanski - CTO of Cognitum, presented an approach to hybrid agent architecture, which is implemented on top of a scalable Knowledge Representation & Reasoning (KRR) system.
To learn more, visit our website: http://www.cognitum.eu/
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This document discusses context awareness and context-aware systems. It begins by defining context as the surrounding environment, location, or situation that determines the meaning of an event. An entity is defined as anything relevant to the interaction between a user and an application, including the user and application themselves.
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The document discusses modelling large complex systems using multi-agent technology. It describes complex systems as consisting of many interdependent and autonomous components that exhibit emergent and unpredictable behavior from nonlinear interactions. The only technology capable of accurately modelling complex systems is said to be multi-agent systems, where software agents interact and self-organize to produce intelligent emergent behavior. Several examples are given of multi-agent models being used successfully in commercial applications.
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Webinar Recording: https://www.panagenda.com/webinars/hcl-notes-und-domino-lizenzkostenreduzierung-in-der-welt-von-dlau/
DLAU und die Lizenzen nach dem CCB- und CCX-Modell sind für viele in der HCL-Community seit letztem Jahr ein heißes Thema. Als Notes- oder Domino-Kunde haben Sie vielleicht mit unerwartet hohen Benutzerzahlen und Lizenzgebühren zu kämpfen. Sie fragen sich vielleicht, wie diese neue Art der Lizenzierung funktioniert und welchen Nutzen sie Ihnen bringt. Vor allem wollen Sie sicherlich Ihr Budget einhalten und Kosten sparen, wo immer möglich. Das verstehen wir und wir möchten Ihnen dabei helfen!
Wir erklären Ihnen, wie Sie häufige Konfigurationsprobleme lösen können, die dazu führen können, dass mehr Benutzer gezählt werden als nötig, und wie Sie überflüssige oder ungenutzte Konten identifizieren und entfernen können, um Geld zu sparen. Es gibt auch einige Ansätze, die zu unnötigen Ausgaben führen können, z. B. wenn ein Personendokument anstelle eines Mail-Ins für geteilte Mailboxen verwendet wird. Wir zeigen Ihnen solche Fälle und deren Lösungen. Und natürlich erklären wir Ihnen das neue Lizenzmodell.
Nehmen Sie an diesem Webinar teil, bei dem HCL-Ambassador Marc Thomas und Gastredner Franz Walder Ihnen diese neue Welt näherbringen. Es vermittelt Ihnen die Tools und das Know-how, um den Überblick zu bewahren. Sie werden in der Lage sein, Ihre Kosten durch eine optimierte Domino-Konfiguration zu reduzieren und auch in Zukunft gering zu halten.
Diese Themen werden behandelt
- Reduzierung der Lizenzkosten durch Auffinden und Beheben von Fehlkonfigurationen und überflüssigen Konten
- Wie funktionieren CCB- und CCX-Lizenzen wirklich?
- Verstehen des DLAU-Tools und wie man es am besten nutzt
- Tipps für häufige Problembereiche, wie z. B. Team-Postfächer, Funktions-/Testbenutzer usw.
- Praxisbeispiele und Best Practices zum sofortigen Umsetzen
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.
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Practical applications of controlled natural language with description logics and OWL. FluentEditor and OASE.
1. Semantics
Practical applications of controlled natural language with
description logics and OWL. FluentEditor and OASE.
Paweł Kapłański 1
Anna Wróblewska, PhD 1,2
Aleksandra Zięba, PhD 1,3
Paweł Zarzycki 1
1 Cognitum
2Institute of Computer Science,
Warsaw University of Technology
3 Institute of Political Science,
University of Warsaw
www.cognitum.eu/semantics Cognitum | Semantics
2. Agenda
• Crisis (Emergency) Management – Controlled
Natural Language Component
• Ontorion – Semantic Knowledge Management
Framework
• OASE - semiotic framework for software
development
www.cognitum.eu/semantics Cognitum | Semantics
3. Problems Addressed – Emergency,
Crisis Management (EM)
• activity of public administration, a part of national
security management
• dealing with the strategic organizational management
processes (an integrated rescue system) used to
– prevent critical situations (crises),
– prepare to assume control of crises by way of planned
activities,
– respond in case of emergencies, remove their effects and
restore the resources and critical infrastructure
www.cognitum.eu/semantics Cognitum | Semantics
4. EM Characteristics
• Clearly defined organizational structure
• Legislative issues and documentation
• Different kinds of information: time (information can
vary in time), space
• Different requirements to information accessibility &
presentation (by different actors)
• Rescue actions: time pressure, usually lack of
necessary resources
www.cognitum.eu/semantics Cognitum | Semantics
5. Two Kinds of Knowledge
Meta-ontology Ontology / Fact-base
- General - Geo & topological
knowledge derived information, location
from legislative of rescue units, etc.
issues, procedures, - Communication via
disasters etc. graphical language,
- Communication e.g. maps, building
via CNL plans etc. (advanced
- Actors: GIS system)
management - Rescue actors
experts
www.cognitum.eu/semantics Cognitum | Semantics
6. EM Knowledge Management
System - Objectives
• Comprehensive services enriched by posting / insertion of additional information from the
environment
• The system should allow for the identification and analysis of new risks
• Coordination and exchange of information between the coordinator, e.g. at the municipal level
or at the regional level, emergency services and citizens
• Informative issues involving the public: alarm system, forums, educational platform, opinion
monitoring, surveys
• Training & simulation platform
• EM-KMS accessed via spectrum of CNL (Controlled Natural Language) interfaces
can be seen as a communication platform that allows for constant contact between
coordination actors without additional UI layer (and training)
• It is expected that CNL will force actors of coordination to use the precise
statements as well as strictly defined and standardized terminology and therefore
this tool will have great impact on the organizational culture itself
www.cognitum.eu/semantics Cognitum | Semantics
7. EM – what knowledge needs to be
managed?
• What procedures need to be applied?
• What actions/tasks are undertaken within the process?
• What actors are involved in certain actions (actors’
dependancies, division of responsibilities) ?
• Geo related issues:
– What is the location of the emergency or crisis event?
– Where are the rescue teams during crisis events?
– What environmental factors influence the course of crisis
events?
– Where to find shelter during the crisis event?
www.cognitum.eu/semantics Cognitum | Semantics
8. EM Concepts Captured –
Meta-ontology (1)
• Organizational structure: roles (actors and units) and their
relationships
• Responsibilities of actors for certain tasks in a particular
situation
• Alerts about crisis situations and dangers
• Information about crisis events, effects, risks and dangers
• Activities / Procedures that are performed in specific
situations during prevention, preparation, response to crisis
and recovery
• Resources, devices and equipment useful for performing
rescue actions
www.cognitum.eu/semantics Cognitum | Semantics
9. EM Concepts Captured (2)
Treatment system
Communication &
Infrastructure coordination
(resources) (actors,
procedures, tasks)
Crisis characterization Studied world
Crisis events, Environment
effects, risks, (people, natural
dangers sites, goods)
www.cognitum.eu/semantics Cognitum | Semantics
12. EM Use Case – Tanker Accident
A tanker truck (containing
unknown toxic substance)
had an accident. Several
children of the near
kindergarten (outside
when the accident
happened) feel sick.
• What are the dangers?
• What services we need
to call?
www.cognitum.eu/semantics Cognitum | Semantics
13. CNL - SWRL rules
If Z is an actor and if a crisis has-type a crisis-type
and if Z reacts-to-type the crisis-type then the crisis
needs-actor Z.
If Z is an actor and if an effect causes a danger and if a
crisis induces the effect and if Z assumes a procedure and
if the procedure reduces the danger then the crisis needs-
actor Z.
If Z is an actor and if an effect concerns a people-group
and if a crisis induces the effect and if it is true that
the people-group has-victims and if Z is Emergency-
Medical-Service then the crisis needs-actor Z.
www.cognitum.eu/semantics Cognitum | Semantics
15. Performed Tasks & Future Works
• English CNL for OWL - done
• Working on SWRL rules in CNL
• GIS & meta knowledge integration
• Collecting emergency management procedures
to be coded in CNL
• Working on CNL for Polish
• Working on CNL dedicated for other diciplines:
UE policy coordination process on national level,
oncology medical guidelines
www.cognitum.eu/semantics Cognitum | Semantics
20. OASE - Ontology Aided Software Engineering
Ontology-Aided Software Engineering (OASE) is a semiotic framework for software
development. It extends the existing methodologies with an ability to express the
supporting knowledge in (controlled) natural language called OASE-English.
www.cognitum.eu/semantics Cognitum | Semantics
21. OASE-Annotator
OASE-Annotations and OASE-Assertions allow for the protection of the programmer from
breaking the design-time or runtime assumptions and can be checked by the reasoning
services (OWL-Reasoner) in terms of consistency and preservation of logical constraints.
www.cognitum.eu/semantics Cognitum | Semantics
22. OASE-Diagrammer
OASE-Diagrammer adds the ability to use the UML, together with the OASE framework.
OASE-Diagrammer is dual to OASE-Annotator. It allows to draw the UML representations
of software entities and supports OASE-Annotations.
www.cognitum.eu/semantics Cognitum | Semantics