The document discusses the semantic web and ontology inference. It describes how ontologies are used on the semantic web to represent knowledge through concepts and relationships. It then explains different types of ontology inference including TBox inference, ABox inference, and rule-based inference using languages like SWRL. Examples of inference engines that support ontology reasoning are also provided.
RDF is a general method to decompose knowledge into small pieces, with some rules about the semantics or meaning of those pieces. The point is to have a method so simple that it can express any fact, and yet so structured that computer applications can do useful things with knowledge expressed in RDF.
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
RDF is a general method to decompose knowledge into small pieces, with some rules about the semantics or meaning of those pieces. The point is to have a method so simple that it can express any fact, and yet so structured that computer applications can do useful things with knowledge expressed in RDF.
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
The Semantic Web #9 - Web Ontology Language (OWL)Myungjin Lee
This is a lecture note #9 for my class of Graduate School of Yonsei University, Korea.
It describes Web Ontology Language (OWL) for authoring ontologies.
Understanding RDF: the Resource Description Framework in Context (1999)Dan Brickley
Dan Brickley, 3rd European Commission Metadata Workshop, Luxemburg, April 12th 1999
Understanding RDF: the Resource Description Framework in Context
http://ilrt.org/discovery/2001/01/understanding-rdf/
I used these slides for an introductory lecture (90min) to a seminar on SPARQL. This slideset introduces the RDF query language SPARQL from a user's perspective.
The Semantic Web is a mesh of information linked up in such a way as to be easily processable by machines, on a global scale. You can think of it as being an efficient way of representing data on the World Wide Web, or as a globally linked database.
LinkML Intro July 2022.pptx PLEASE VIEW THIS ON ZENODOChris Mungall
NOTE THAT I HAVE MOVED AWAY FROM SLIDESHARE TO ZENODO
The identical presentation is now here:
https://doi.org/10.5281/zenodo.7778641
General introduction to LinkML, The Linked Data Modeling Language.
Adapter from presentation given to NIH May 2022
https://linkml.io/linkml
Taxonomies and Ontologies – The Yin and Yang of Knowledge ModellingSemantic Web Company
See how ontologies and taxonomies can play together to reach the ultimate goal, which is the cost-efficient creation and maintenance of an enterprise knowledge graph. The knowledge modelling methodology is supported by approaches taken from NLP, data science, and machine learning.
OntoPiA e il knowledge graph della pubblica amministrazione italianaGiorgia Lodi
La presentazione è stata fatta in occasione di corsi di formazione presso la rRegione Campania organizzati da ForumPA. La presentazione si suddivide in due parti principali: una descrizione estesa di OntoPiA, la rete di ontologie e vocabolari controllati della pubblica amministrazione italiana, e i suoi principi di modellazione e una descrizione del processo di produzione di Linked (Open) Data mediante lo standard R2RML
The Semantic Web #9 - Web Ontology Language (OWL)Myungjin Lee
This is a lecture note #9 for my class of Graduate School of Yonsei University, Korea.
It describes Web Ontology Language (OWL) for authoring ontologies.
Understanding RDF: the Resource Description Framework in Context (1999)Dan Brickley
Dan Brickley, 3rd European Commission Metadata Workshop, Luxemburg, April 12th 1999
Understanding RDF: the Resource Description Framework in Context
http://ilrt.org/discovery/2001/01/understanding-rdf/
I used these slides for an introductory lecture (90min) to a seminar on SPARQL. This slideset introduces the RDF query language SPARQL from a user's perspective.
The Semantic Web is a mesh of information linked up in such a way as to be easily processable by machines, on a global scale. You can think of it as being an efficient way of representing data on the World Wide Web, or as a globally linked database.
LinkML Intro July 2022.pptx PLEASE VIEW THIS ON ZENODOChris Mungall
NOTE THAT I HAVE MOVED AWAY FROM SLIDESHARE TO ZENODO
The identical presentation is now here:
https://doi.org/10.5281/zenodo.7778641
General introduction to LinkML, The Linked Data Modeling Language.
Adapter from presentation given to NIH May 2022
https://linkml.io/linkml
Taxonomies and Ontologies – The Yin and Yang of Knowledge ModellingSemantic Web Company
See how ontologies and taxonomies can play together to reach the ultimate goal, which is the cost-efficient creation and maintenance of an enterprise knowledge graph. The knowledge modelling methodology is supported by approaches taken from NLP, data science, and machine learning.
OntoPiA e il knowledge graph della pubblica amministrazione italianaGiorgia Lodi
La presentazione è stata fatta in occasione di corsi di formazione presso la rRegione Campania organizzati da ForumPA. La presentazione si suddivide in due parti principali: una descrizione estesa di OntoPiA, la rete di ontologie e vocabolari controllati della pubblica amministrazione italiana, e i suoi principi di modellazione e una descrizione del processo di produzione di Linked (Open) Data mediante lo standard R2RML
Tutorial - Introduction to Rule Technologies and SystemsAdrian Paschke
Tutorial at Semantic Web Applications and Tools for the Life Sciences (SWAT4LS 2014), 9-11 Dec., Berlin, Germany
http://www.swat4ls.org/workshops/berlin2014/
The widespread adoption of Information Technology systems and their
capability to trace data about process executions has made available Information
Technology data for the analysis of process executions. Meanwhile, at business
level, static and procedural knowledge, which can be exploited to analyze and rea-
son on data, is often available. In this paper we aim at providing an approach that,
combining static and procedural aspects, business and data levels and exploiting
semantic-based techniques allows business analysts to infer knowledge and use it
to analyze system executions. The proposed solution has been implemented using
current scalable Semantic Web technologies, that offer the possibility to keep the
advantages of semantic-based reasoning with non-trivial quantities of data.
A brief overview to SWRL.
The Semantic Web Rule Language (SWRL) is based on a combination of the OWL DL and OWL Lite sublanguages of the OWL Web Ontology Language with the Unary/Binary Datalog RuleML sublanguages of the Rule Markup Language. It extends the set of OWL axioms to include Horn-like rules. It thus enables Horn-like rules to be combined with an OWL knowledge base.
Jena based implementation of a iso 11179 meta data registryA. Anil Sinaci
The ISO/IEC 11179 family of specifications introduces a standard model for meta-data registries to increase the interoperability of applications with the use of common data elements. Jena based implementation of a standard meta-data registry, brings semantic processing and reasoning capabilities on top of the common data elements and their consumer applications.
Semantic Integration with Apache Jena and StanbolAll Things Open
All Things Open 2014 - Day 1
Wednesday, October 22nd, 2014
Phillip Rhodes
Founder & President of Fogbeam Labs
Big Data
Semantic Integration with Apache Jena and Stanbol
The Uncertainty Model: Understanding What Business You Are InAlessandro Daliana
More often than not, business owners, executives, entrepreneurs and wanna-preneurs come to discuss their business with me in my capacity as a business leadership coach but have a hard time explaining what business their business is in. Based on these interactions, and over a quarter century of business experience, I have come up with The Uncertainty Model. It is fantastically useful for unlocking business.
Poster - Completeness Statements about RDF Data Sources and Their Use for Qu...Fariz Darari
Thousands of RDF data sources are today available on the Web.
Machine-readable qualitative descriptions of their content are crucial.
We focus on data completeness, an important aspect of data quality.
How to formalize and express in a machine-readable way completeness information about RDF data sources?
How to leveragesuch completeness information?
Formal framework for expressing completeness information.
Study of query completeness from completeness information in various settings.
An Overview on PROV-AQ: Provenance Access and QueryOlaf Hartig
The slides which I used at the Dagstuhl seminar on Principles of Provenance (Feb.2012) for presenting the main contributions and open issues of the PROV-AQ document created by the W3C provenance working group.
JSP 프로그래밍 #02 서블릿과 JSP 시작하기
2.1 톰캣 애플리케이션 만들기 (온라인 강의: https://youtu.be/04LIGWKCFjY)
2.2 간단한 서블릿 만들기 (온라인 강의: https://youtu.be/4ajw5EsxYE8)
2.3 간단한 JSP 만들기 (온라인 강의: https://youtu.be/6h-qH8pGdT8)
2.4 간단한 자바빈즈 만들기 (온라인 강의: https://youtu.be/TlgXkAWi1sc)
JSP 프로그래밍 #01 웹 프로그래밍
1.1 웹 (온라인 강의: https://youtu.be/qDZXXHhMr4A)
1.2 서블릿 (온라인 강의: https://youtu.be/a8hHeUhbz2k)
1.3 JSP(Java Server Page) (온라인 강의: https://youtu.be/Q4ezLP6KLwM)
1.4 프로그래밍을 위한 환경 설정 (온라인 강의: https://youtu.be/k2eR6gLULA8)
2018년 7월 5일에 있었던 한국인터넷거버넌스포럼(KrIGF)에서 발표한 "오픈 데이터와 인공지능" 발표자료입니다.
다음과 같은 내용을 담고 있습니다.
* 오픈데이터의 정의
* 오픈데이터의 중요성
* 인공지능
* 인공지능에서 데이터의 중요성
* 제한된 데이터 환경에서의 문제점
* 인공지능을 위한 오픈데이터의 중요성
* 더 나은 인공지능 시대를 위한 제언
2017년 4월에 진행된 도서관최신동향 과정에 있었던 발표자료입니다.
서지 분야에서의 Linked Data의 개념과 활용에 대한 내용을 담고 있습니다.
구체적으로는 아래와 같은 내용을 포함합니다.
- Linked Data란 무엇인가?
- 왜 도서관에서 Linked Data를 이야기하는가?
- Linked Data를 누가 쓰고 있나?
Smart TV Buyer Insights Survey 2024 by 91mobiles.pdf91mobiles
91mobiles recently conducted a Smart TV Buyer Insights Survey in which we asked over 3,000 respondents about the TV they own, aspects they look at on a new TV, and their TV buying preferences.
Search and Society: Reimagining Information Access for Radical FuturesBhaskar Mitra
The field of Information retrieval (IR) is currently undergoing a transformative shift, at least partly due to the emerging applications of generative AI to information access. In this talk, we will deliberate on the sociotechnical implications of generative AI for information access. We will argue that there is both a critical necessity and an exciting opportunity for the IR community to re-center our research agendas on societal needs while dismantling the artificial separation between the work on fairness, accountability, transparency, and ethics in IR and the rest of IR research. Instead of adopting a reactionary strategy of trying to mitigate potential social harms from emerging technologies, the community should aim to proactively set the research agenda for the kinds of systems we should build inspired by diverse explicitly stated sociotechnical imaginaries. The sociotechnical imaginaries that underpin the design and development of information access technologies needs to be explicitly articulated, and we need to develop theories of change in context of these diverse perspectives. Our guiding future imaginaries must be informed by other academic fields, such as democratic theory and critical theory, and should be co-developed with social science scholars, legal scholars, civil rights and social justice activists, and artists, among others.
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.
Software Delivery At the Speed of AI: Inflectra Invests In AI-Powered QualityInflectra
In this insightful webinar, Inflectra explores how artificial intelligence (AI) is transforming software development and testing. Discover how AI-powered tools are revolutionizing every stage of the software development lifecycle (SDLC), from design and prototyping to testing, deployment, and monitoring.
Learn about:
• The Future of Testing: How AI is shifting testing towards verification, analysis, and higher-level skills, while reducing repetitive tasks.
• Test Automation: How AI-powered test case generation, optimization, and self-healing tests are making testing more efficient and effective.
• Visual Testing: Explore the emerging capabilities of AI in visual testing and how it's set to revolutionize UI verification.
• Inflectra's AI Solutions: See demonstrations of Inflectra's cutting-edge AI tools like the ChatGPT plugin and Azure Open AI platform, designed to streamline your testing process.
Whether you're a developer, tester, or QA professional, this webinar will give you valuable insights into how AI is shaping the future of software delivery.
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
Key Trends Shaping the Future of Infrastructure.pdfCheryl Hung
Keynote at DIGIT West Expo, Glasgow on 29 May 2024.
Cheryl Hung, ochery.com
Sr Director, Infrastructure Ecosystem, Arm.
The key trends across hardware, cloud and open-source; exploring how these areas are likely to mature and develop over the short and long-term, and then considering how organisations can position themselves to adapt and thrive.
Accelerate your Kubernetes clusters with Varnish CachingThijs Feryn
A presentation about the usage and availability of Varnish on Kubernetes. This talk explores the capabilities of Varnish caching and shows how to use the Varnish Helm chart to deploy it to Kubernetes.
This presentation was delivered at K8SUG Singapore. See https://feryn.eu/presentations/accelerate-your-kubernetes-clusters-with-varnish-caching-k8sug-singapore-28-2024 for more details.
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.
GraphRAG is All You need? LLM & Knowledge GraphGuy Korland
Guy Korland, CEO and Co-founder of FalkorDB, will review two articles on the integration of language models with knowledge graphs.
1. Unifying Large Language Models and Knowledge Graphs: A Roadmap.
https://arxiv.org/abs/2306.08302
2. Microsoft Research's GraphRAG paper and a review paper on various uses of knowledge graphs:
https://www.microsoft.com/en-us/research/blog/graphrag-unlocking-llm-discovery-on-narrative-private-data/
PHP Frameworks: I want to break free (IPC Berlin 2024)Ralf Eggert
In this presentation, we examine the challenges and limitations of relying too heavily on PHP frameworks in web development. We discuss the history of PHP and its frameworks to understand how this dependence has evolved. The focus will be on providing concrete tips and strategies to reduce reliance on these frameworks, based on real-world examples and practical considerations. The goal is to equip developers with the skills and knowledge to create more flexible and future-proof web applications. We'll explore the importance of maintaining autonomy in a rapidly changing tech landscape and how to make informed decisions in PHP development.
This talk is aimed at encouraging a more independent approach to using PHP frameworks, moving towards a more flexible and future-proof approach to PHP development.
Transcript: Selling digital books in 2024: Insights from industry leaders - T...BookNet Canada
The publishing industry has been selling digital audiobooks and ebooks for over a decade and has found its groove. What’s changed? What has stayed the same? Where do we go from here? Join a group of leading sales peers from across the industry for a conversation about the lessons learned since the popularization of digital books, best practices, digital book supply chain management, and more.
Link to video recording: https://bnctechforum.ca/sessions/selling-digital-books-in-2024-insights-from-industry-leaders/
Presented by BookNet Canada on May 28, 2024, with support from the Department of Canadian Heritage.
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.
3. Fussy System the intelligence of machines methodology Machine Learning Neural Network goal methodology hasApproach Artificial Intelligence Genetic Algorithm methodology Knowledge Base Approach Logic hasApproach basedon Approaches of AI
4. What is Semantic Web? Web target Semantic Web Artificial Intelligence goal the intelligence of machines purpose a vision of information that is understandable by computers, so that they can perform more of the tedious work involved in finding, sharing, and combining information on the web. dc:description
5. approach Approach of Semantic Web Semantic Web Knowledge Base Approach Logic Sentence basedon basedon use representation representation Ontology representation Propositional Logic Predicate Logic Fist Order Logic Description Logic partOf partOf
6. Ontology on the Semantic Web OWL Ontology component SCOT component RDF RDFS vocabulary component SKOS dc:description XML component vocabulary SIOC URI An ontology is a formal explicit specification of a conceptualization. FOAF
7. Merits of Ontology Database Ontology owl:sameAs ¬ owl:differentFrom image image differences differences rdf:Bag rdf:li rdf:li rdf:li a power of represen-tation Inference Semantics
8. Task of Inference Inference being able to derive new data from data that you already know dc:description task task dc:description Rule Inference TBox Inference Ontology Inference statements that describe a system in terms of controlled vocabularies task dc:description task dc:description ABox Inference TBox-compliant statements about that vocabulary to produce valid statements within system based on rule
9. Ontology Inference Ontology Inference to derive additional facts to be inferred from instance data and class descriptions based on own semantics dc:description RDF Semantics Person <x, y> is in IEXT(I(rdfs:subClassOf)) if and only if x and y are in IC and ICEXT(x) is a subset of ICEXT(y) Man Myungjin ( Man rdfs:subClassOf Person ) ( Myungjinrdf:type Man ) ( Myungjinrdf:type Person )
10. TBox Inference TBox Inference Ontology Inference statements that describe a system in terms of controlled vocabularies dc:description task <rdfs:Classrdf:about="http://xmlns.com/foaf/0.1/Document" rdfs:label="Document”> <rdfs:subClassOfrdf:resource="http://xmlns.com/wordnet/1.6/Document"/> </rdfs:Class> <rdfs:Classrdf:about="http://xmlns.com/foaf/0.1/PersonalProfileDocument”> <rdfs:subClassOfrdf:resource="http://xmlns.com/foaf/0.1/Document"/> </rdfs:Class> http://xmlns.com/foaf/0.1/PersonalProfileDocument rdfs:subClassOf http://xmlns.com/wordnet/1.6/Document
12. Rule Inference Rule Inference to produce valid statements within system based on rule dc:description if hasParent(?x, ?y) hasParent(?x, ?z) Man(?y) Woman(?z) then hasWife(?y, ?z) hasWife hasParent hasParent
13. SWRL (Semantic Web Rule Language) SWRL Horn-like Rule Member Submission representation status editor form subLanguage SWRLTab RuleML Body rdf:Seq rdf:li rdf:li Head plugIn Protégé screenshot
14. Inference Engine for Semantic Web Bossam a forward chaining rule engine supports SWRL dc:description rdf:type Pellet an open-source Java OWL DL reasoner has SWRL-support dc:description Inference Engine rdf:type KAON2 an infrastructure for managing OWL-DL, SWRL, and F-Logic ontologies dc:description rdf:type Racer Pro rdf:type processing of rules in a SWRL-based syntax by translating them into nRQL rules dc:description rdf:type Jena to derive additional RDF assertions, the axioms and rules associated with the reasoner dc:description
15. SMART System Intelligence Information System Lab Yonsei University java framework for semantic web application locatedIn created dc:description SMART function support rdf:Bag rdf:Bag rdf:li rdf:li rdf:li rdf:li rdf:li Ontology Process SPARQL Process rdf:li SPARQL RDF RDFS Rule Inference Ontology Inference SWRL OWL
17. Issue of Inference RDF 상에서 어디에 추론을 쓰지? 새로운 관계 발견을 통한 네트워크 분석 또 다른 RDF Vocabularies 혹은 도메인 온톨로지와의 관계 규칙 정의 및 추론 고민할 문제 추론을 위한 표현력과 복잡도 많은 룰에 의한 충돌 세상사를 반영한 규칙의 생성 철저한 준비? 표현력의 한계?