The document discusses Topic Maps, which is an open standard for representing knowledge in a shareable way. Topic Maps allows for the creation of ontologies and modeling of data, enabling both the sharing and merging of models. It addresses issues with traditional data models by providing a general framework that can encapsulate and reuse sub-models.
Tony Vlachakis, an educational technologist that works at the Georgia Department of Education, gave this presentation update on the K-12 Computer Science Framework Review.
A high-level overview of social network analysis, providing background on how it came into the knowledge management field. Includes an example and core concepts pertinent to the audience, online community managers.
UCL joint Institute of Education (London Knowledge Lab) & UCL Interaction Centre seminar, 20th April 2016. Replay: https://youtu.be/0t0IWvcO-Uo
Algorithmic Accountability & Learning Analytics
Simon Buckingham Shum
Connected Intelligence Centre, University of Technology Sydney
ABSTRACT. As algorithms pervade societal life, they are moving from the preserve of computer science to becoming the object of far wider academic and media attention. Many are now asking how the behaviour of algorithms can be made “accountable”. But why are they “opaque” and to whom? As this vital discussion unfolds in relation to Big Data in general, the Learning Analytics community must articulate what would count as meaningful questions and satisfactory answers in educational contexts. In this talk, I propose different lenses that we can bring to bear on a given learning analytics tool, to ask what it would mean for it to be accountable, and to whom. From a Human-Centred Informatics perspective, it turns out that algorithmic accountability may be the wrong focus.
BIO. Simon Buckingham Shum is Professor of Learning Informatics at the University of Technology Sydney, which he joined in August 2014 to direct the new Connected Intelligence Centre. Prior to that he was at The Open University’s Knowledge Media Institute 1995-2014. He brings a Human-Centred Informatics (HCI) approach to his work, with a background in Psychology (BSc, York), Ergonomics (MSc, London) and HCI (PhD, York) where he worked with Rank Xerox Cambridge EuroPARC on Design Rationale. He co-edited Visualizing Argumentation (2003) followed by Knowledge Cartography (2008, 2nd Edn. 2014), and with Al Selvin wrote Constructing Knowledge Art (2015). He is active in the emerging field of Learning Analytics and is a co-founder of the Society for Learning Analytics Research, Compendium Institute and Learning Emergence network.
Tony Vlachakis, an educational technologist that works at the Georgia Department of Education, gave this presentation update on the K-12 Computer Science Framework Review.
A high-level overview of social network analysis, providing background on how it came into the knowledge management field. Includes an example and core concepts pertinent to the audience, online community managers.
UCL joint Institute of Education (London Knowledge Lab) & UCL Interaction Centre seminar, 20th April 2016. Replay: https://youtu.be/0t0IWvcO-Uo
Algorithmic Accountability & Learning Analytics
Simon Buckingham Shum
Connected Intelligence Centre, University of Technology Sydney
ABSTRACT. As algorithms pervade societal life, they are moving from the preserve of computer science to becoming the object of far wider academic and media attention. Many are now asking how the behaviour of algorithms can be made “accountable”. But why are they “opaque” and to whom? As this vital discussion unfolds in relation to Big Data in general, the Learning Analytics community must articulate what would count as meaningful questions and satisfactory answers in educational contexts. In this talk, I propose different lenses that we can bring to bear on a given learning analytics tool, to ask what it would mean for it to be accountable, and to whom. From a Human-Centred Informatics perspective, it turns out that algorithmic accountability may be the wrong focus.
BIO. Simon Buckingham Shum is Professor of Learning Informatics at the University of Technology Sydney, which he joined in August 2014 to direct the new Connected Intelligence Centre. Prior to that he was at The Open University’s Knowledge Media Institute 1995-2014. He brings a Human-Centred Informatics (HCI) approach to his work, with a background in Psychology (BSc, York), Ergonomics (MSc, London) and HCI (PhD, York) where he worked with Rank Xerox Cambridge EuroPARC on Design Rationale. He co-edited Visualizing Argumentation (2003) followed by Knowledge Cartography (2008, 2nd Edn. 2014), and with Al Selvin wrote Constructing Knowledge Art (2015). He is active in the emerging field of Learning Analytics and is a co-founder of the Society for Learning Analytics Research, Compendium Institute and Learning Emergence network.
MIT Program on Information Science Talk -- Julia Flanders on Jobs, Roles, Ski...Micah Altman
Julia Flanders, who is the Director of the Digital Scholarship Group in the Northeastern University Library, and a Professor of Practice in Northeastern's English Department gave a talk on Jobs, Roles, Skills, Tools: Working in the Digital Academy as part of the Program on Information Science Brown Bag Series.
In the talk, illustrated by the slides below, Julia discusses the evolving landscape of digital humanities (and digital scholarship more broadly) and considers the relationship between technology, tool development, and professional roles.
For more see: http://informatics.mit.edu/event/brown-bag-jobs-roles-skills-tools-working-digital-academy-julia-flanders
A talk presented at IBM's "Academy of Technology" exploring, in brief, what the research community has to learn from Watson (and the techniques derived therefrom) and some new research ideas that can be explored therefrom. All known proprietary information from either IBM or RPI has been removed from the original talk.
Presentation to BILETA 2017, Universidade do Minho, co-authored with Dirk Rodenburg, Queen's University, Ontario, and Robert Clapperton, Ametros Learning.
Why Watson Won: A cognitive perspectiveJames Hendler
In this talk, we present how the Watson program, IBM's famous Jeopardy playing computer, works (based on papers published by IBM), we look at some aspects of potential scoring approaches, and we examine how Watson compares to several well known systems and some preliminary thoughts on using it in future artificial intelligence and cognitive science approaches.
NetWorkShop: Boston Facilitators RoundtablePatti Anklam
The NetWorkShop offers a new perspective – a network lens – that sheds light on how human networks are structured and how technologies can enhance our ability to collaborate and co-create. For facilitators, it offers possibilities of new ways of thinking about client work as well as leadership coaching.
This workshop provides a clear presentation of basic network concepts, including:
· Reflective exercises in creating and interpreting network maps of relationships (organizational and personal) using network concepts
· An introduction to value networking analysis, with a focus on mapping roles and deliverables (gives and gets) in an organizational ecosystem
· A short overview of how social media (Twitter, Facebook, LinkedIn) is altering the landscape of how people create and work in networks.
The Key Success Factor in Knowledge Management... What Else? Change ManagementPatti Anklam
Presented at SLA 2013, on a panel with Ethel Salonen of MITRE Corporation. Provides perspective on change management and how it is used in understanding and creating interventions in knowledge networks.
Explainable AI is not yet Understandable AIepsilon_tud
Keynote of Dr. Nava Tintarev at RCIS'2020. Decision-making at individual, business, and societal levels is influenced by online content. Filtering and ranking algorithms such as those used in recommender systems are used to support these decisions. However, it is often not clear to a user whether the advice given is suitable to be followed, e.g., whether it is correct, whether the right information was taken into account, or if the user’s best interests were taken into consideration. In other words, there is a large mismatch between the representation of the advice by the system versus the representation assumed by its users. This talk addresses why we (might) want to develop advice-giving systems that can explain themselves, and how we can assess whether we are successful in this endeavor. This talk will also describe some of the state-of-the-art in explanations in a number of domains (music, tweets, and news articles) that help link the mental models of systems and people. However, it is not enough to generate rich and complex explanations; more is required in order to understand and be understood. This entails among other factors decisions around which information to select to show to people, and how to present that information, often depending on the target users and contextual factors
Revision of Previous Show on SNA and Introduction to Tools
The Language of Networks
Introduction to Social Network Analysis/ Cases
Tools for Analyzing social networks, including graphing Facebook, LinkedIn, and Twitter networks
Part 1: Concepts and Cases (the language of networks, networks in organizations, case studies and key concepts)
Part 2: (Starts on #44) Mapping Organizational, Personal, and Enterprise Networks: Tools
An update to last year's Social Network Analysis Introduction and Tools...
DMIL week 3: Cognitive authority and academic textsDrew Whitworth
How do academic texts manifest cognitive authority? Why do we give credibility to papers written in certain ways and not others? This presentation addresses these questions in ways that focus on the question of how you, the MA student, are asked to do this in essays; and, importantly, why we ask you to do so. The issue is a case study of cognitive authority in a specific setting but should therefore also provide practical guidance to you when it comes to thinking about essay writing. I also cover the issue of academic malpractice.
On Slideshare, the audio track embedded in this presentation will be missing.
OA discussion at BILETA 2017, Universidade do Minho, Portugal, focusing on legal journal publication. Co-authored with Catherine Easton and Abhilash Hair
presentation on Indian Writing in English. this presentation is a part of my academic study in M.A at department of English M. K Bhavnagar university, it Is submitted to Dr. Dilip Barad.
MIT Program on Information Science Talk -- Julia Flanders on Jobs, Roles, Ski...Micah Altman
Julia Flanders, who is the Director of the Digital Scholarship Group in the Northeastern University Library, and a Professor of Practice in Northeastern's English Department gave a talk on Jobs, Roles, Skills, Tools: Working in the Digital Academy as part of the Program on Information Science Brown Bag Series.
In the talk, illustrated by the slides below, Julia discusses the evolving landscape of digital humanities (and digital scholarship more broadly) and considers the relationship between technology, tool development, and professional roles.
For more see: http://informatics.mit.edu/event/brown-bag-jobs-roles-skills-tools-working-digital-academy-julia-flanders
A talk presented at IBM's "Academy of Technology" exploring, in brief, what the research community has to learn from Watson (and the techniques derived therefrom) and some new research ideas that can be explored therefrom. All known proprietary information from either IBM or RPI has been removed from the original talk.
Presentation to BILETA 2017, Universidade do Minho, co-authored with Dirk Rodenburg, Queen's University, Ontario, and Robert Clapperton, Ametros Learning.
Why Watson Won: A cognitive perspectiveJames Hendler
In this talk, we present how the Watson program, IBM's famous Jeopardy playing computer, works (based on papers published by IBM), we look at some aspects of potential scoring approaches, and we examine how Watson compares to several well known systems and some preliminary thoughts on using it in future artificial intelligence and cognitive science approaches.
NetWorkShop: Boston Facilitators RoundtablePatti Anklam
The NetWorkShop offers a new perspective – a network lens – that sheds light on how human networks are structured and how technologies can enhance our ability to collaborate and co-create. For facilitators, it offers possibilities of new ways of thinking about client work as well as leadership coaching.
This workshop provides a clear presentation of basic network concepts, including:
· Reflective exercises in creating and interpreting network maps of relationships (organizational and personal) using network concepts
· An introduction to value networking analysis, with a focus on mapping roles and deliverables (gives and gets) in an organizational ecosystem
· A short overview of how social media (Twitter, Facebook, LinkedIn) is altering the landscape of how people create and work in networks.
The Key Success Factor in Knowledge Management... What Else? Change ManagementPatti Anklam
Presented at SLA 2013, on a panel with Ethel Salonen of MITRE Corporation. Provides perspective on change management and how it is used in understanding and creating interventions in knowledge networks.
Explainable AI is not yet Understandable AIepsilon_tud
Keynote of Dr. Nava Tintarev at RCIS'2020. Decision-making at individual, business, and societal levels is influenced by online content. Filtering and ranking algorithms such as those used in recommender systems are used to support these decisions. However, it is often not clear to a user whether the advice given is suitable to be followed, e.g., whether it is correct, whether the right information was taken into account, or if the user’s best interests were taken into consideration. In other words, there is a large mismatch between the representation of the advice by the system versus the representation assumed by its users. This talk addresses why we (might) want to develop advice-giving systems that can explain themselves, and how we can assess whether we are successful in this endeavor. This talk will also describe some of the state-of-the-art in explanations in a number of domains (music, tweets, and news articles) that help link the mental models of systems and people. However, it is not enough to generate rich and complex explanations; more is required in order to understand and be understood. This entails among other factors decisions around which information to select to show to people, and how to present that information, often depending on the target users and contextual factors
Revision of Previous Show on SNA and Introduction to Tools
The Language of Networks
Introduction to Social Network Analysis/ Cases
Tools for Analyzing social networks, including graphing Facebook, LinkedIn, and Twitter networks
Part 1: Concepts and Cases (the language of networks, networks in organizations, case studies and key concepts)
Part 2: (Starts on #44) Mapping Organizational, Personal, and Enterprise Networks: Tools
An update to last year's Social Network Analysis Introduction and Tools...
DMIL week 3: Cognitive authority and academic textsDrew Whitworth
How do academic texts manifest cognitive authority? Why do we give credibility to papers written in certain ways and not others? This presentation addresses these questions in ways that focus on the question of how you, the MA student, are asked to do this in essays; and, importantly, why we ask you to do so. The issue is a case study of cognitive authority in a specific setting but should therefore also provide practical guidance to you when it comes to thinking about essay writing. I also cover the issue of academic malpractice.
On Slideshare, the audio track embedded in this presentation will be missing.
OA discussion at BILETA 2017, Universidade do Minho, Portugal, focusing on legal journal publication. Co-authored with Catherine Easton and Abhilash Hair
presentation on Indian Writing in English. this presentation is a part of my academic study in M.A at department of English M. K Bhavnagar university, it Is submitted to Dr. Dilip Barad.
“Any living organism supplying plant nutrients directly or indirectly is regarded as biofertilizer. They are not synthetically manufactured in factory.”
"It's 2010: 20 Technologies to Watch, and How to Cope" for SLA's Click University. The real secret is that the best way to cope is to remain positive and reframe our perception of the changes. They don't happen to us. We make them happen. Create the future. Who is better qualified to help invent the information and knowledge based economy than us?
These are the slides from a teaching session I ran to get our doctoral students thinking a bit more critically about the nature of technology in Higher Education. (Note, it's deliberately controversial in places)
Different Kinds Of Essay. 8 Types of Essays in College: All You Need to Know ...Sara Carter
What Is an Essay? Different Types of Essays with Examples • 7ESL. Custom Writing of All Types of Essays. 4 Major types of essays - Infographics. 4 Essay Types and How to Distinguish Them | Howtowrite.CustomWritings.com. A complete Guide for Essay writing. 4 Outstanding Types of Essay Writing Styles – Helpful Guidelines. Tips on How to Write Effective Essay and 7 Major Types in 2021 | Types .... What Are The Different Types Of Essay Writing – Telegraph. The Major Types of Essays | CustomEssayMeister.com. an argument paper with two different types of writing and the same type .... 8 Types of Essays in College: All You Need to Know about College Essay .... Types of Essays Australian College Students Ask for (5 PhD Experts ....
Academic Essay Examples - 18+ in PDF | Examples. College Essay Format: Simple Steps to Be Followed. How to Write In College Essay Format | OCC NJ. College Sample Scholarship Essays | Master of Template Document. Sample Apa Essay Paper – APA Style Essay: Formatting Rules. Developing a Final Draft of a Research Paper | ENGL 1010. essay write my marketing research paper. College Essay Examples - 9+ in PDF | Examples. 32 College Essay Format Templates & Examples - TemplateArchive. 008 Summary Essay Example Of Essays Article About The Best ~ Thatsnotus. ⚡ Simple essay. Short Essay Samples. 2019-02-08. Writing An Analytical Essay. MLA Format: Everything You Need to Know Here. 006 Apa Essay Format Example Paper Template ~ Thatsnotus. 9+ College Essay Examples - Free PDF Format Download | Examples .... How To Write An Informative Essay Outline - Informative Essay Examples .... Apa College Paper Format : FREE 6+ Sample APA Format Title Page .... Research Paper Format - Fotolip. Sample APA Essay Paper Writing Service - Expert Writers.
WLMA 14 Conference Keynote PPT - Paige Jaeger: Connecting Creatively with the CCPaige Jaeger
Washington Library Media Association Conference Keynote - It was my pleasure to share ways to challenge, reach and teach the Millennials at your conference! Carpe Diem! Let us think!
Similar to Sexier, smarter, faster Information architecture with topic Maps (20)
Unit 8 - Information and Communication Technology (Paper I).pdfThiyagu K
This slides describes the basic concepts of ICT, basics of Email, Emerging Technology and Digital Initiatives in Education. This presentations aligns with the UGC Paper I syllabus.
Operation “Blue Star” is the only event in the history of Independent India where the state went into war with its own people. Even after about 40 years it is not clear if it was culmination of states anger over people of the region, a political game of power or start of dictatorial chapter in the democratic setup.
The people of Punjab felt alienated from main stream due to denial of their just demands during a long democratic struggle since independence. As it happen all over the word, it led to militant struggle with great loss of lives of military, police and civilian personnel. Killing of Indira Gandhi and massacre of innocent Sikhs in Delhi and other India cities was also associated with this movement.
Honest Reviews of Tim Han LMA Course Program.pptxtimhan337
Personal development courses are widely available today, with each one promising life-changing outcomes. Tim Han’s Life Mastery Achievers (LMA) Course has drawn a lot of interest. In addition to offering my frank assessment of Success Insider’s LMA Course, this piece examines the course’s effects via a variety of Tim Han LMA course reviews and Success Insider comments.
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An EFL lesson about the current events in Palestine. It is intended to be for intermediate students who wish to increase their listening skills through a short lesson in power point.
Francesca Gottschalk - How can education support child empowerment.pptxEduSkills OECD
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Embracing GenAI - A Strategic ImperativePeter Windle
Artificial Intelligence (AI) technologies such as Generative AI, Image Generators and Large Language Models have had a dramatic impact on teaching, learning and assessment over the past 18 months. The most immediate threat AI posed was to Academic Integrity with Higher Education Institutes (HEIs) focusing their efforts on combating the use of GenAI in assessment. Guidelines were developed for staff and students, policies put in place too. Innovative educators have forged paths in the use of Generative AI for teaching, learning and assessments leading to pockets of transformation springing up across HEIs, often with little or no top-down guidance, support or direction.
This Gasta posits a strategic approach to integrating AI into HEIs to prepare staff, students and the curriculum for an evolving world and workplace. We will highlight the advantages of working with these technologies beyond the realm of teaching, learning and assessment by considering prompt engineering skills, industry impact, curriculum changes, and the need for staff upskilling. In contrast, not engaging strategically with Generative AI poses risks, including falling behind peers, missed opportunities and failing to ensure our graduates remain employable. The rapid evolution of AI technologies necessitates a proactive and strategic approach if we are to remain relevant.
The Roman Empire A Historical Colossus.pdfkaushalkr1407
The Roman Empire, a vast and enduring power, stands as one of history's most remarkable civilizations, leaving an indelible imprint on the world. It emerged from the Roman Republic, transitioning into an imperial powerhouse under the leadership of Augustus Caesar in 27 BCE. This transformation marked the beginning of an era defined by unprecedented territorial expansion, architectural marvels, and profound cultural influence.
The empire's roots lie in the city of Rome, founded, according to legend, by Romulus in 753 BCE. Over centuries, Rome evolved from a small settlement to a formidable republic, characterized by a complex political system with elected officials and checks on power. However, internal strife, class conflicts, and military ambitions paved the way for the end of the Republic. Julius Caesar’s dictatorship and subsequent assassination in 44 BCE created a power vacuum, leading to a civil war. Octavian, later Augustus, emerged victorious, heralding the Roman Empire’s birth.
Under Augustus, the empire experienced the Pax Romana, a 200-year period of relative peace and stability. Augustus reformed the military, established efficient administrative systems, and initiated grand construction projects. The empire's borders expanded, encompassing territories from Britain to Egypt and from Spain to the Euphrates. Roman legions, renowned for their discipline and engineering prowess, secured and maintained these vast territories, building roads, fortifications, and cities that facilitated control and integration.
The Roman Empire’s society was hierarchical, with a rigid class system. At the top were the patricians, wealthy elites who held significant political power. Below them were the plebeians, free citizens with limited political influence, and the vast numbers of slaves who formed the backbone of the economy. The family unit was central, governed by the paterfamilias, the male head who held absolute authority.
Culturally, the Romans were eclectic, absorbing and adapting elements from the civilizations they encountered, particularly the Greeks. Roman art, literature, and philosophy reflected this synthesis, creating a rich cultural tapestry. Latin, the Roman language, became the lingua franca of the Western world, influencing numerous modern languages.
Roman architecture and engineering achievements were monumental. They perfected the arch, vault, and dome, constructing enduring structures like the Colosseum, Pantheon, and aqueducts. These engineering marvels not only showcased Roman ingenuity but also served practical purposes, from public entertainment to water supply.
Introduction to AI for Nonprofits with Tapp NetworkTechSoup
Dive into the world of AI! Experts Jon Hill and Tareq Monaur will guide you through AI's role in enhancing nonprofit websites and basic marketing strategies, making it easy to understand and apply.
Macroeconomics- Movie Location
This will be used as part of your Personal Professional Portfolio once graded.
Objective:
Prepare a presentation or a paper using research, basic comparative analysis, data organization and application of economic information. You will make an informed assessment of an economic climate outside of the United States to accomplish an entertainment industry objective.
June 3, 2024 Anti-Semitism Letter Sent to MIT President Kornbluth and MIT Cor...Levi Shapiro
Letter from the Congress of the United States regarding Anti-Semitism sent June 3rd to MIT President Sally Kornbluth, MIT Corp Chair, Mark Gorenberg
Dear Dr. Kornbluth and Mr. Gorenberg,
The US House of Representatives is deeply concerned by ongoing and pervasive acts of antisemitic
harassment and intimidation at the Massachusetts Institute of Technology (MIT). Failing to act decisively to ensure a safe learning environment for all students would be a grave dereliction of your responsibilities as President of MIT and Chair of the MIT Corporation.
This Congress will not stand idly by and allow an environment hostile to Jewish students to persist. The House believes that your institution is in violation of Title VI of the Civil Rights Act, and the inability or
unwillingness to rectify this violation through action requires accountability.
Postsecondary education is a unique opportunity for students to learn and have their ideas and beliefs challenged. However, universities receiving hundreds of millions of federal funds annually have denied
students that opportunity and have been hijacked to become venues for the promotion of terrorism, antisemitic harassment and intimidation, unlawful encampments, and in some cases, assaults and riots.
The House of Representatives will not countenance the use of federal funds to indoctrinate students into hateful, antisemitic, anti-American supporters of terrorism. Investigations into campus antisemitism by the Committee on Education and the Workforce and the Committee on Ways and Means have been expanded into a Congress-wide probe across all relevant jurisdictions to address this national crisis. The undersigned Committees will conduct oversight into the use of federal funds at MIT and its learning environment under authorities granted to each Committee.
• The Committee on Education and the Workforce has been investigating your institution since December 7, 2023. The Committee has broad jurisdiction over postsecondary education, including its compliance with Title VI of the Civil Rights Act, campus safety concerns over disruptions to the learning environment, and the awarding of federal student aid under the Higher Education Act.
• The Committee on Oversight and Accountability is investigating the sources of funding and other support flowing to groups espousing pro-Hamas propaganda and engaged in antisemitic harassment and intimidation of students. The Committee on Oversight and Accountability is the principal oversight committee of the US House of Representatives and has broad authority to investigate “any matter” at “any time” under House Rule X.
• The Committee on Ways and Means has been investigating several universities since November 15, 2023, when the Committee held a hearing entitled From Ivory Towers to Dark Corners: Investigating the Nexus Between Antisemitism, Tax-Exempt Universities, and Terror Financing. The Committee followed the hearing with letters to those institutions on January 10, 202
Welcome to TechSoup New Member Orientation and Q&A (May 2024).pdfTechSoup
In this webinar you will learn how your organization can access TechSoup's wide variety of product discount and donation programs. From hardware to software, we'll give you a tour of the tools available to help your nonprofit with productivity, collaboration, financial management, donor tracking, security, and more.
Sexier, smarter, faster Information architecture with topic Maps
1. Sexier , faster , better information architecture through Topic Maps Saturday 30 th September, Alexander Johannesen DISCLAIMER : I love Topic Maps, and I get passionate about what I love. I think Topic Maps by itself will create peace on earth, solve world hunger and the energy crisis, so don’t expect me to dabble too much in the details. Ask questions. Many of them.
42. The basic problem with most data models are that they are …
43. … all different The basic problem with most data models are that they are …
44. … all different, requires special knowledge about the model The basic problem with most data models are that they are …
45. … all different, requires special knowledge about the model, often locked into the environment The basic problem with most data models are that they are …
46. … all different, requires special knowledge about the model, often locked into the environment, vary in complexity and can be a bugger to understand and comprehend The basic problem with most data models are that they are …
47. … all different, requires special knowledge about the model, often locked into the environment, vary in complexity and can be a bugger to understand and comprehend, requires all new Knowledge every time a data model is created The basic problem with most data models are that they are …
48. … all different, requires special knowledge about the model, often locked into the environment, vary in complexity and can be a bugger to understand and comprehend, requires all new Knowledge every time a data model is created, gives a specific Interpretation of requirements … The basic problem with most data models are that they are …
49. … all different, requires special knowledge about the model, often locked into the environment, vary in complexity and can be a bugger to understand and comprehend, requires all new Knowledge every time a data model is created, gives a specific Interpretation of requirements … which suggests especially one thing
105. Ontology : controlled vocabulary Organisation : corporation (see also) , enterprise (narrower term) Person : human (broader term) , worker (narrower term) Resource : person (narrower term, see also) , book (narrower term) , map (narrower term) Topic Maps : concept (broader term) Training : seminar (narrower term) , course (narrower term) , presentation (narrower term, see also) Computer : server (narrower term, see also) , resource (broader term) Collection : library (broader term) , set (narrower term) All-together-now example
106. Ontology : controlled vocabulary Migrants USE Immigrants Military historians (LCSH) BT Historians Military spouses (local) BT Spouses RT War widows Millers (LCSH) UF Flour millers Milliners USE Hatters and milliners Mine owners (local) UF Mine proprietors Mine proprietors USE Mine owners Mineralogists (LCSH) BT Earth scientists OCCUPATIONS THESAURUS Recommended for contributions to the Australian Register of Archives and Manuscripts
107. Ontology : controlled vocabulary Migrants USE Immigrants Military historians (LCSH) BT Historians Military spouses (local) BT Spouses RT War widows Millers (LCSH) UF Flour millers Milliners USE Hatters and milliners Mine owners (local) UF Mine proprietors Mine proprietors USE Mine owners Mineralogists (LCSH) BT Earth scientists OCCUPATIONS THESAURUS Recommended for contributions to the Australian Register of Archives and Manuscripts “ USE” #ontology-term-use
108. Ontology : controlled vocabulary Migrants USE Immigrants Military historians (LCSH) BT Historians Military spouses (local) BT Spouses RT War widows Millers (LCSH) UF Flour millers Milliners USE Hatters and milliners Mine owners (local) UF Mine proprietors Mine proprietors USE Mine owners Mineralogists (LCSH) BT Earth scientists OCCUPATIONS THESAURUS Recommended for contributions to the Australian Register of Archives and Manuscripts “ USE” #ontology-term-use
109. Ontology : controlled vocabulary Migrants USE Immigrants Military historians (LCSH) BT Historians Military spouses (local) BT Spouses RT War widows Millers (LCSH) UF Flour millers Milliners USE Hatters and milliners Mine owners (local) UF Mine proprietors Mine proprietors USE Mine owners Mineralogists (LCSH) BT Earth scientists OCCUPATIONS THESAURUS Recommended for contributions to the Australian Register of Archives and Manuscripts “ USE” #ontology-term-use
110. Ontology : controlled vocabulary Migrants USE Immigrants Military historians (LCSH) BT Historians Military spouses (local) BT Spouses RT War widows Millers (LCSH) UF Flour millers Milliners USE Hatters and milliners Mine owners (local) UF Mine proprietors Mine proprietors USE Mine owners Mineralogists (LCSH) BT Earth scientists “ USE” OCCUPATIONS THESAURUS Recommended for contributions to the Australian Register of Archives and Manuscripts “ Milliners” (occupation) “ Hatters and milliners” (occupation) #ontology-term-use
111. Ontology : controlled vocabulary Migrants USE Immigrants Military historians (LCSH) BT Historians Military spouses (local) BT Spouses RT War widows Millers (LCSH) UF Flour millers Milliners USE Hatters and milliners Mine owners (local) UF Mine proprietors Mine proprietors USE Mine owners Mineralogists (LCSH) BT Earth scientists “ USE” OCCUPATIONS THESAURUS Recommended for contributions to the Australian Register of Archives and Manuscripts “ Milliners” (occupation) “ Hatters and milliners” (occupation) Non-preferred #ontology-term-use
112. Ontology : controlled vocabulary Migrants USE Immigrants Military historians (LCSH) BT Historians Military spouses (local) BT Spouses RT War widows Millers (LCSH) UF Flour millers Milliners USE Hatters and milliners Mine owners (local) UF Mine proprietors Mine proprietors USE Mine owners Mineralogists (LCSH) BT Earth scientists “ USE” OCCUPATIONS THESAURUS Recommended for contributions to the Australian Register of Archives and Manuscripts “ Milliners” (occupation) “ Hatters and milliners” (occupation) Preferred Non-preferred #ontology-term-use A small digression
113. Ontology : controlled vocabulary Migrants USE Immigrants Military historians (LCSH) BT Historians Military spouses (local) BT Spouses RT War widows Millers (LCSH) UF Flour millers Milliners USE Hatters and milliners Mine owners (local) UF Mine proprietors Mine proprietors USE Mine owners Mineralogists (LCSH) BT Earth scientists “ USE” OCCUPATIONS THESAURUS Recommended for contributions to the Australian Register of Archives and Manuscripts Preferred Non-preferred #ontology-term-use “ Preferred” #nla-ontology-term-use-preferred
114. Ontology : controlled vocabulary OCCUPATIONS THESAURUS Recommended for contributions to the Australian Register of Archives and Manuscripts “ Milliners” (occupation) “ Hatters and milliners” (occupation) Preferred Non-preferred Milliners What is your occupation? Your occupation is better known as “ Hatters and milliners” “ USE” #ontology-term-use
115. Ontology : controlled vocabulary : it’s all about types OCCUPATIONS THESAURUS Recommended for contributions to the Australian Register of Archives and Manuscripts ontology
118. PSI “ Alex” #nla-resource-person #nla-person-ajohanne “ Alexander” #nla-resource-team-member #nla-person-ajohanne “ Johannesen, Alex” #nla-resource-employee #nla-person-ajohanne XY project My new app Fish ontology
119. PSI “ Alex” #nla-resource-person #nla-person-ajohanne “ Alexander” #nla-resource-team-member #nla-person-ajohanne “ Johannesen, Alex” #nla-resource-employee #nla-person-ajohanne XY project My new app Fish ontology
120. PSI “ Alex ” , “ Alexander ” , “ Johannesen, Alex ” #nla-resource-team-member #nla-resource-person #nla-resource-employee #nla-person-ajohanne “ Alex” #nla-resource-person #nla-person-ajohanne “ Alexander” #nla-resource-team-member #nla-person-ajohanne “ Johannesen, Alex” #nla-resource-employee #nla-person-ajohanne XY project My new app Fish ontology
121. ontology One data model is easy to share, as is the language and terms used XY project My new app Fish ontology
122. Quick prototyping and reuse of data by merging ontology Fiddle Project XY project My new app Fish ontology
123. ontology Fiddle Project Expansions and extensions to scope and data stores made easy Dingbat Project XY project My new app Fish ontology
124. All encompassing applications are possible ontology Fiddle Project Dingbat Project XY project My new app Fish ontology
125. Share your structures and data with outside sources as well ontology Fiddle Project Dingbat Project AustLit project XY project My new app Fish ontology
The disclaimer also points to my bias, so don’t expect any other solution that doesn’t involve Topic Maps. At least not when it comes to data modelling.