Presentation by Antonio Dias de Figueiredo at the Workshop on Philosophy and Engineering, Royal Academy of Engineering, London, November 10-12, 2008. These slides are complemented by the text with the same title available at SlideShare.
A presentation about Ontology Learning with an overview of the area and some methods used, specially techniques of Ontology Learning from Text. This presentation was part of a seminary in the MSc Course in Computer Science at UFPE - Recife - Brazil.
Presentation by Antonio Dias de Figueiredo at the Workshop on Philosophy and Engineering, Royal Academy of Engineering, London, November 10-12, 2008. These slides are complemented by the text with the same title available at SlideShare.
A presentation about Ontology Learning with an overview of the area and some methods used, specially techniques of Ontology Learning from Text. This presentation was part of a seminary in the MSc Course in Computer Science at UFPE - Recife - Brazil.
OWL stands for Web Ontology Language
OWL is built on top of RDF
OWL is for processing information on the web
OWL was designed to be interpreted by computers
OWL was not designed for being read by people
OWL is written in XML
OWL has three sublanguages
- OWL Lite , OWL DL , OWL Full
OWL is a W3C standard
World over, engineering graduates are in high demand owing to the latest developments in science and computing, technology, architecture, and other fields of engineering.
Getting an engineering degree from a recognized, reputed organization paves the way for a high-paying and challenging career. Some of the engineering fields such as computer engineering, civil engineering, and electronics and communication engineering are extremely lucrative and of paramount importance to society.
We have listed out the top five engineering career opportunities of today and tomorrow.
The presentation gives a broad overview of crowdsourcing and crowdsensing. It motivates the ideas of several types of crowdsourcing and crowdsensing applications using typical examples from business and society.
Literature review for a dissertation: a step-by-step guideOlga Koz, DM, MLS
A guide for doctoral students to the process of conducting literature searching, analysis, organizing, synthesis and writing a literature review for a dissertation
Swoogle: Showcasing the Significance of Semantic SearchIDES Editor
The World Wide Web hosts vast repositories of
information. The retrieval of required information from the
Internet is a great challenge since computer applications
understand only the structure and layout of web pages and
they do not have access to their intended meaning. Semantic
web is an effort to enhance the Internet, so that computers
can process the information presented on WWW, interpret
and communicate with it, to help humans find required
essential knowledge. Application of Ontology is the
predominant approach helping the evolution of the Semantic
web. The aim of our work is to illustrate how Swoogle, a
semantic search engine, helps make computer and WWW
interoperable and more intelligent. In this paper, we discuss
issues related to traditional and semantic web searching. We
outline how an understanding of the semantics of the search
terms can be used to provide better results. The experimental
results establish that semantic search provides more focused
results than the traditional search.
OWL stands for Web Ontology Language
OWL is built on top of RDF
OWL is for processing information on the web
OWL was designed to be interpreted by computers
OWL was not designed for being read by people
OWL is written in XML
OWL has three sublanguages
- OWL Lite , OWL DL , OWL Full
OWL is a W3C standard
World over, engineering graduates are in high demand owing to the latest developments in science and computing, technology, architecture, and other fields of engineering.
Getting an engineering degree from a recognized, reputed organization paves the way for a high-paying and challenging career. Some of the engineering fields such as computer engineering, civil engineering, and electronics and communication engineering are extremely lucrative and of paramount importance to society.
We have listed out the top five engineering career opportunities of today and tomorrow.
The presentation gives a broad overview of crowdsourcing and crowdsensing. It motivates the ideas of several types of crowdsourcing and crowdsensing applications using typical examples from business and society.
Literature review for a dissertation: a step-by-step guideOlga Koz, DM, MLS
A guide for doctoral students to the process of conducting literature searching, analysis, organizing, synthesis and writing a literature review for a dissertation
Swoogle: Showcasing the Significance of Semantic SearchIDES Editor
The World Wide Web hosts vast repositories of
information. The retrieval of required information from the
Internet is a great challenge since computer applications
understand only the structure and layout of web pages and
they do not have access to their intended meaning. Semantic
web is an effort to enhance the Internet, so that computers
can process the information presented on WWW, interpret
and communicate with it, to help humans find required
essential knowledge. Application of Ontology is the
predominant approach helping the evolution of the Semantic
web. The aim of our work is to illustrate how Swoogle, a
semantic search engine, helps make computer and WWW
interoperable and more intelligent. In this paper, we discuss
issues related to traditional and semantic web searching. We
outline how an understanding of the semantics of the search
terms can be used to provide better results. The experimental
results establish that semantic search provides more focused
results than the traditional search.
A Comparative Study Ontology Building Tools for Semantic Web Applications IJwest
Ontologies have recently received popularity in the area of knowledge management and knowledge sharing,
especially after the evolution of the Semantic Web and its supporting technologies. An ontology defines the terms
and concepts (meaning) used to describe and represent an area of knowledge.The aim of this paper is to identify all
possible existing ontologies and ontology management tools (Protégé 3.4, Apollo, IsaViz & SWOOP) that are freely
available and review them in terms of: a) interoperability, b) openness, c) easiness to update and maintain, d)
market status and penetration. The results of the review in ontologies are analyzed for each application area, such
as transport, tourism, personal services, health and social services, natural languages and other HCI-related
domains. Ontology Building/Management Tools are used by different groups of people for performing diverse tasks.
Although each tool provides different functionalities, most of the users just use only one, because they are not able
to interchange their ontologies from one tool to another. In addition, we considered the compatibility of different
ontologies with different development and management tools. The paper is also concerns the detection of
commonalities and differences between the examined ontologies, both on the same domain (application area) and
among different domains.
A Comparative Study Ontology Building Tools for Semantic Web Applications dannyijwest
Ontologies have recently received popularity in the area of knowledge management and knowledge sharing, especially after the evolution of the Semantic Web and its supporting technologies. An ontology defines the terms and concepts (meaning) used to describe and represent an area of knowledge.The aim of this paper is to identify all possible existing ontologies and ontology management tools (Protégé 3.4, Apollo, IsaViz & SWOOP) that are freely available and review them in terms of: a) interoperability, b) openness, c) easiness to update and maintain, d) market status and penetration. The results of the review in ontologies are analyzed for each application area, such as transport, tourism, personal services, health and social services, natural languages and other HCI-related domains. Ontology Building/Management Tools are used by different groups of people for performing diverse tasks. Although each tool provides different functionalities, most of the users just use only one, because they are not able to interchange their ontologies from one tool to another. In addition, we considered the compatibility of different ontologies with different development and management tools. The paper is also concerns the detection of commonalities and differences between the examined ontologies, both on the same domain (application area) and among different domains.
A Comparative Study of Ontology building Tools in Semantic Web Applications dannyijwest
Ontologies have recently received popularity in the area of knowledge management and knowledge sharing,
especially after the evolution of the Semantic Web and its supporting technologies. An ontology defines the terms
and concepts (meaning) used to describe and represent an area of knowledge.The aim of this paper is to identify all
possible existing ontologies and ontology management tools (Protégé 3.4, Apollo, IsaViz & SWOOP) that are freely
available and review them in terms of: a) interoperability, b) openness, c) easiness to update and maintain, d)
market status and penetration. The results of the review in ontologies are analyzed for each application area, such
as transport, tourism, personal services, health and social services, natural languages and other HCI-related
domains. Ontology Building/Management Tools are used by different groups of people for performing diverse tasks.
Although each tool provides different functionalities, most of the users just use only one, because they are not able
to interchange their ontologies from one tool to another. In addition, we considered the compatibility of different
ontologies with different development and management tools. The paper is also concerns the detection of
commonalities and differences between the examined ontologies, both on the same domain (application area) and
among different domains.
Presentation made in the context of the FAO AIMS Webinar titled “Knowledge Organization Systems (KOS): Management of Classification Systems in the case of Organic.Edunet” (http://aims.fao.org/community/blogs/new-webinaraims-knowledge-organization-systems-kos-management-classification-systems)
21/2/2014
The objective of this webinar is to provide a brief overview of the Knowledge Organization Systems (KOS) and the tools used for managing them. The presentation will focus on the management of the multilingual Organic.Edunet ontology as a case study. In this context it will present aspects such as the collaborative work, multilinguality needs and update of the concepts using an online KOS management tool (MoKi).
Abstract:
A growing number of resources are available for enriching documents with semantic annotations. While originally focused on a few standard classes of annotations, the ecosystem of annotators is now becoming increasingly diverse. Although annotators often have very different vocabularies, with both high-level and specialist
concepts, they also have many semantic interconnections. We will show that both the overlap and the diversity in annotator vocabularies motivate the need for semantic annotation integration: middleware that produces a unified annotation on top of diverse semantic annotators. On the one hand, the diversity of vocabulary allows applications
to benefit from the much richer vocabulary available in
an integrated vocabulary. On the other hand, we present evidence that the most widely-used annotators on the web suffer from serious accuracy deficiencies: the overlap in vocabularies from individual annotators allows an integrated annotator to boost accuracy by exploiting inter-annotator agreement and disagreement.
The integration of semantic annotations leads to new challenges, both compared to usual data integration scenarios and to standard aggregation of machine learning tools. We overview an approach to these challenges that performs ontology-aware aggregation. We
introduce an approach that requires no training data, making use of ideas from database repair. We experimentally compare this with a supervised approach, which adapts maximal entropy Markov models to the setting of ontology-based annotations. We further experimentally compare both these approaches with respect to ontology-unaware
supervised approaches, and to individual annotators.
Semantic Web: Technolgies and Applications for Real-WorldAmit Sheth
Amit Sheth and Susie Stephens, "Semantic Web: Technolgies and Applications for Real-World," Tutorial at 2007 World Wide Web Conference, Banff, Canada.
Tutorial discusses technologies and deployed real-world applications through 2007.
Tutorial description at: http://www2007.org/tutorial-T11.php
An Approach to Owl Concept Extraction and Integration Across Multiple Ontolog...dannyijwest
Increase in number of ontologies on Semantic Web and endorsement of OWL as language of discourse for
the Semantic Web has lead to a scenario where research efforts in the field of ontology engineering may be
applied for making the process of ontology development through reuse a viable option for ontology
developers. The advantages are twofold as when existing ontological artefacts from the Semantic Web are
reused, semantic heterogeneity is reduced and help in interoperability which is the essence of Semantic
Web. From the perspective of ontology development advantages of reuse are in terms of cutting down on
cost as well as development life as ontology engineering requires expert domain skills and is time taking
process. We have devised a framework to address challenges associated with reusing ontologies from the
Semantic Web. In this paper we present methods adopted for extraction and integration of concepts across
multiple ontologies.
It is our presentation during CEIT-2016 (Fourth Edition of the International Conference on Control Engineering and Information Technology) held at Hammamet, Tunisia, December 16-18 2016.
This is our presentation at International Conference of Data Mining and Knowledge Engineering "ICDMKE 13'" held at London, UK, 03-05 July 2013. the paper is available at: http://www.iaeng.org/publication/WCE2013/WCE2013_pp1595-1600.pdf
it's our presentation during the third international conference of information systems and technologies ICIST 2013 held at Tangier, Morocco in which we propose a new approach for human assessment of ontologies using an online questionnaire.
Translating natural language competency questions into sparql queries web2013Leila Zemmouchi-Ghomari
it's our presentation at WEB 2013 the first internationl conference on building and exploring web based environments, held at seville, Spain (January 27-February 01)
c'est une présentation faite le 19 mai 2010 journée de l'étudiant en Algérie à l'ESI (école supérieure d'informatique à Alger), dans le but d'informer les étudiants post-graduants sur les principaux aspects de l'ingénierie ontologique en tant qu'axe de recherche; ce fichier contient des slides issus d'autres présentations tirées du net ainsi que mes propres conclusions et analyses.
Matching Domain Ontologies A Comparative Study [Mode De Compatibilité]Leila Zemmouchi-Ghomari
it's our presentation at CISIS 2009, International Conference on Complex, Intelligent and Software Intensive Systems held in Fukuoka, Japan
March 16-March 19 2009.
Why You Should Replace Windows 11 with Nitrux Linux 3.5.0 for enhanced perfor...SOFTTECHHUB
The choice of an operating system plays a pivotal role in shaping our computing experience. For decades, Microsoft's Windows has dominated the market, offering a familiar and widely adopted platform for personal and professional use. However, as technological advancements continue to push the boundaries of innovation, alternative operating systems have emerged, challenging the status quo and offering users a fresh perspective on computing.
One such alternative that has garnered significant attention and acclaim is Nitrux Linux 3.5.0, a sleek, powerful, and user-friendly Linux distribution that promises to redefine the way we interact with our devices. With its focus on performance, security, and customization, Nitrux Linux presents a compelling case for those seeking to break free from the constraints of proprietary software and embrace the freedom and flexibility of open-source computing.
Epistemic Interaction - tuning interfaces to provide information for AI supportAlan Dix
Paper presented at SYNERGY workshop at AVI 2024, Genoa, Italy. 3rd June 2024
https://alandix.com/academic/papers/synergy2024-epistemic/
As machine learning integrates deeper into human-computer interactions, the concept of epistemic interaction emerges, aiming to refine these interactions to enhance system adaptability. This approach encourages minor, intentional adjustments in user behaviour to enrich the data available for system learning. This paper introduces epistemic interaction within the context of human-system communication, illustrating how deliberate interaction design can improve system understanding and adaptation. Through concrete examples, we demonstrate the potential of epistemic interaction to significantly advance human-computer interaction by leveraging intuitive human communication strategies to inform system design and functionality, offering a novel pathway for enriching user-system engagements.
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.
Removing Uninteresting Bytes in Software FuzzingAftab Hussain
Imagine a world where software fuzzing, the process of mutating bytes in test seeds to uncover hidden and erroneous program behaviors, becomes faster and more effective. A lot depends on the initial seeds, which can significantly dictate the trajectory of a fuzzing campaign, particularly in terms of how long it takes to uncover interesting behaviour in your code. We introduce DIAR, a technique designed to speedup fuzzing campaigns by pinpointing and eliminating those uninteresting bytes in the seeds. Picture this: instead of wasting valuable resources on meaningless mutations in large, bloated seeds, DIAR removes the unnecessary bytes, streamlining the entire process.
In this work, we equipped AFL, a popular fuzzer, with DIAR and examined two critical Linux libraries -- Libxml's xmllint, a tool for parsing xml documents, and Binutil's readelf, an essential debugging and security analysis command-line tool used to display detailed information about ELF (Executable and Linkable Format). Our preliminary results show that AFL+DIAR does not only discover new paths more quickly but also achieves higher coverage overall. This work thus showcases how starting with lean and optimized seeds can lead to faster, more comprehensive fuzzing campaigns -- and DIAR helps you find such seeds.
- These are slides of the talk given at IEEE International Conference on Software Testing Verification and Validation Workshop, ICSTW 2022.
UiPath Test Automation using UiPath Test Suite series, part 4DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 4. In this session, we will cover Test Manager overview along with SAP heatmap.
The UiPath Test Manager overview with SAP heatmap webinar offers a concise yet comprehensive exploration of the role of a Test Manager within SAP environments, coupled with the utilization of heatmaps for effective testing strategies.
Participants will gain insights into the responsibilities, challenges, and best practices associated with test management in SAP projects. Additionally, the webinar delves into the significance of heatmaps as a visual aid for identifying testing priorities, areas of risk, and resource allocation within SAP landscapes. Through this session, attendees can expect to enhance their understanding of test management principles while learning practical approaches to optimize testing processes in SAP environments using heatmap visualization techniques
What will you get from this session?
1. Insights into SAP testing best practices
2. Heatmap utilization for testing
3. Optimization of testing processes
4. Demo
Topics covered:
Execution from the test manager
Orchestrator execution result
Defect reporting
SAP heatmap example with demo
Speaker:
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
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.
SAP Sapphire 2024 - ASUG301 building better apps with SAP Fiori.pdfPeter Spielvogel
Building better applications for business users with SAP Fiori.
• What is SAP Fiori and why it matters to you
• How a better user experience drives measurable business benefits
• How to get started with SAP Fiori today
• How SAP Fiori elements accelerates application development
• How SAP Build Code includes SAP Fiori tools and other generative artificial intelligence capabilities
• How SAP Fiori paves the way for using AI in SAP apps
Elevating Tactical DDD Patterns Through Object CalisthenicsDorra BARTAGUIZ
After immersing yourself in the blue book and its red counterpart, attending DDD-focused conferences, and applying tactical patterns, you're left with a crucial question: How do I ensure my design is effective? Tactical patterns within Domain-Driven Design (DDD) serve as guiding principles for creating clear and manageable domain models. However, achieving success with these patterns requires additional guidance. Interestingly, we've observed that a set of constraints initially designed for training purposes remarkably aligns with effective pattern implementation, offering a more ‘mechanical’ approach. Let's explore together how Object Calisthenics can elevate the design of your tactical DDD patterns, offering concrete help for those venturing into DDD for the first time!
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.
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:
State of ICS and IoT Cyber Threat Landscape Report 2024 previewPrayukth K V
The IoT and OT threat landscape report has been prepared by the Threat Research Team at Sectrio using data from Sectrio, cyber threat intelligence farming facilities spread across over 85 cities around the world. In addition, Sectrio also runs AI-based advanced threat and payload engagement facilities that serve as sinks to attract and engage sophisticated threat actors, and newer malware including new variants and latent threats that are at an earlier stage of development.
The latest edition of the OT/ICS and IoT security Threat Landscape Report 2024 also covers:
State of global ICS asset and network exposure
Sectoral targets and attacks as well as the cost of ransom
Global APT activity, AI usage, actor and tactic profiles, and implications
Rise in volumes of AI-powered cyberattacks
Major cyber events in 2024
Malware and malicious payload trends
Cyberattack types and targets
Vulnerability exploit attempts on CVEs
Attacks on counties – USA
Expansion of bot farms – how, where, and why
In-depth analysis of the cyber threat landscape across North America, South America, Europe, APAC, and the Middle East
Why are attacks on smart factories rising?
Cyber risk predictions
Axis of attacks – Europe
Systemic attacks in the Middle East
Download the full report from here:
https://sectrio.com/resources/ot-threat-landscape-reports/sectrio-releases-ot-ics-and-iot-security-threat-landscape-report-2024/
State of ICS and IoT Cyber Threat Landscape Report 2024 preview
Reference Ontology Presentation
1. Referenceontology Leïla Zemmouchi-Ghomari, l_zemmouchi@esi.dz Abdessamed Réda Ghomari, a_ghomari@esi.dz LMCSLaboratory, ESI (National Superior School of Computer Science) Algiers, Algeria KARE InternationalWorkshop In conjunctionwithSITIS, IEEE International Conference November 29th-December 04th 2009 held in Marrakech, Morocco
2. 23/11/2009 KARE'09 2 Introduction Semantic web Knowledgeshare Need ofdomain ontologies Many ontologies built Most ofthemaretoospecific domain Reference ontologies
3. 23/11/2009 KARE'09 3 Contents Whatis a Referenceontology? Whatisexpectedfromthisontology? How to buildit? What are the mostfamousReference ontologies?
4. 23/11/2009 KARE'09 4 Whatis a Referenceontology? Nicolas Guarinouses the term : « Referenceontology » for the first timeduring the 26th GermanConference on Artificial Intelligence (September 15th-18th 2003 held in Hamburg) SinceThen, there have been ManyReferenceontologydefinitionsproposedwhichhighlitedits main features, such as: To Describe a certain domainadequately Tobetrue about a certain portion of reality To beindependentfromspecific objectives To bevalidated by a large community of domain experts
5. 23/11/2009 KARE'09 5 Whatis a Referenceontology? « Domain Reference ontologies representknowledge about a particular part of the world in a waythatisindependentfromspecific objectives, through a theory of a domain» Anita Burgun, Desiderata for domainreference ontologies in biomedicine, Journal of Biomedical information, 39(2006) 307-313.
12. Designed to be used ascontrols on other ontologies types
13. 23/11/2009 KARE'09 8 Whatis a Referenceontology? WhenReferenceontologyisgeneric, the twoontology types are equivalent. Otherwise, theybelong to different abstraction levels: Conclusion RequiressolidPhilosophical Background
34. 23/11/2009 KARE'09 15 2. WhatisexpectedfromReferenceontology? Referenceontologycouldcontributesignificantly to severalresearch areas, like: a. OntologyMatching: Referenceontologyprovidesthe contextin whichitiseasier to match ontologies (by managingdifferencesthat arise betweenthese ontologies)
35. 23/11/2009 KARE'09 16 WhatisexpectedfromReferenceontology? a. OntologyMatching : In a concreteway, Referenceontologyreducessignificantly the number of mappingsbetween ontologies to bematched: PairwiseAlignment n(n-1)/2 mappings Alignmentthrough a Reference (n-1) mappings
36. 23/11/2009 KARE'09 17 WhatisexpectedfromReferenceontology? b. Ontology Evaluation: If we have to compare several ontologies to eachother, the Referenceontologycouldplay the role of a framwork to facilitatethisevaluation, for example: In the Information Retrievalfield, itisfrequent to compare between ontologies for deducingwhichontologyisthe more relevant for the IR task, the Referenceontologyrepresentshere the corpus in which the taskwillbeachieved.
37. 23/11/2009 KARE'09 18 WhatisexpectedfromReferenceontology? c. Semantic web : Referenceontologycouldprovide a commonconceptualfoundation for variousresources on the semantic web. Referenceontology has the potential to linkheterogeneous application ontologies together in the semantic web.
38. 23/11/2009 KARE'09 19 Semantic web Knowledgeshare Need ofdomain ontologies Many ontologies built Most ofthemaretoospecific The link betweenthesespecificresources will beassuredby the Reference ontology
39. 23/11/2009 KARE'09 20 3. How to build a Referenceontology? On the basis of Domain ontologies By Extensions or Specialization of Foundational ontologies Reference Coreontology Core Generic
40. 23/11/2009 KARE'09 21 3. How to build a Referenceontology? O2 O1 On the basis of Domain ontologies By Extensions or Specialization of Foundational ontologies o3 Inputs: Describe the same Domain DOLCE CYC SUMO BFO OCHRE ReferenceOntology ReferenceOntology Analysis and Synthesis Reuse Output
41. 23/11/2009 KARE'09 22 3. How to build a Referenceontology? Foundationalontology Foundation and Semantics Philosophical background Domain independent Referenceontology Extensions, Specializations, Instanciations Matching, Merging Domain ontology Passage Rulesbetweenontologylevels
42. 23/11/2009 KARE'09 23 4. What are the mostfamous Reference ontologies? Most of existent References ontologies belong to Biomedicaldomain. The OBO (Open Biomedical Ontologies) Foundryisvery active in development of biomedicalReference ontologies.
43. 23/11/2009 KARE'09 24 ChemicalEntities of biologicalinterest CellOntology SequenceOntology Foundational Model of Anatomy Relation ontology Protein ontology Functional Genomics investigation ontology RNA ontology Gene Ontology 4. What are the mostfamous Reference ontologies?
46. Formalways to derive application ontologies from the Referenceontology (suchassemantic web query languages)Purposes: ClarifyReference ontology paradigm Highlight Reference ontology benefits