The document discusses the goals and major specifications of the DCMI Architecture Forum. It aims to document the DCMI metadata framework, develop technical specifications, and provide feedback on technical issues. Major specifications discussed include the DCMI Abstract Model, expressions for expressing DCMI metadata in different formats like RDF and XML, and the Singapore Framework for DC Application Profiles. It also discusses different levels of interoperability and introduces Description Set Profiles as a way to formally represent the constraints of a Dublin Core Application Profile.
The document discusses two PARs (Project Authorization Requests) from the DCMI-IEEE LTSC Task Force regarding defining an RDF vocabulary for IEEE Learning Object Metadata (LOM) elements and a recommended practice for expressing LOM instances using the Dublin Core Abstract Model. The task force aims to improve interoperability between LOM and Dublin Core metadata by addressing differences in their abstract models and defining mappings between LOM elements and DCAM concepts. Work is ongoing to update related documents and develop an application profile and transformations based on the new recommendations.
The document discusses continuing cooperation between the Dublin Core Metadata Initiative (DCMI) and the IEEE Learning Object Metadata (LOM) standard. It reviews their collaborative history and agreements since 2000. The agenda discusses mapping LOM to the Dublin Core Abstract Model (DCAM), next steps, and establishing a permanent special track on metadata for learning, education, and training at future Dublin Core conferences.
The document proposes making the Metadata for Learning Resources (MLR) standard interoperable by basing it on semantic technologies and the Resource Description Framework (RDF) model to allow machines to process metadata consistently across systems. It suggests MLR define properties, classes, and application profiles to structure metadata and leverage existing standards like Dublin Core rather than creating a new "metadata island". Developing MLR in this way would enable large-scale interoperability through linked open data.
The document discusses Dublin Core and other metadata schemas for exposing information on the web. It outlines four rules: use URIs as names for things, use HTTP URIs so people can look them up, provide useful information when URIs are looked up, and include links to other URIs. The document also discusses how metadata from different domains and vocabularies can be combined using common frameworks like ontologies. It provides an example of converting XML metadata to a graph using RDF.
DC-2008 Tutorial 3 - Dublin Core and other metadata schemasMikael Nilsson
油
The document discusses metadata standards and interoperability. It provides an overview of Dublin Core and other metadata schemas. It describes how Dublin Core terms are defined both for human understanding through textual definitions, as well as machine understanding through formal semantics expressed in RDF. This allows metadata using Dublin Core terms to be combined and processed in an interoperable way on the Semantic Web.
The document discusses the DCMI Metadata Framework, which includes the DCMI Abstract Model (DCAM) and other components. DCAM defines core metadata constructs like properties and vocabularies, and provides a basis for defining interoperable vocabularies, profiles, and syntaxes. It also discusses challenges around cross-framework interoperability and terminology used for different types of metadata specifications.
Presentation biblioteks-natverkstraffen 2014-11-11 i UppsalaMats Brenner
油
En presentation vad Learning Center vid H旦gskolan i G辰vle och H旦gskolebiblioteket i G辰vle gjort och g旦r f旦r anv辰ndarunders旦kningar, utv辰rderingar och validering (ett instrument f旦r sj辰lvskattning) av l辰rare och studenter.
The document discusses the goals and major specifications of the DCMI Architecture Forum. It aims to document the DCMI metadata framework, develop technical specifications, and provide feedback on technical issues. Major specifications discussed include the DCMI Abstract Model, expressions for expressing DCMI metadata in different formats like RDF and XML, and the Singapore Framework for DC Application Profiles. It also discusses different levels of interoperability and introduces Description Set Profiles as a way to formally represent the constraints of a Dublin Core Application Profile.
The document discusses two PARs (Project Authorization Requests) from the DCMI-IEEE LTSC Task Force regarding defining an RDF vocabulary for IEEE Learning Object Metadata (LOM) elements and a recommended practice for expressing LOM instances using the Dublin Core Abstract Model. The task force aims to improve interoperability between LOM and Dublin Core metadata by addressing differences in their abstract models and defining mappings between LOM elements and DCAM concepts. Work is ongoing to update related documents and develop an application profile and transformations based on the new recommendations.
The document discusses continuing cooperation between the Dublin Core Metadata Initiative (DCMI) and the IEEE Learning Object Metadata (LOM) standard. It reviews their collaborative history and agreements since 2000. The agenda discusses mapping LOM to the Dublin Core Abstract Model (DCAM), next steps, and establishing a permanent special track on metadata for learning, education, and training at future Dublin Core conferences.
The document proposes making the Metadata for Learning Resources (MLR) standard interoperable by basing it on semantic technologies and the Resource Description Framework (RDF) model to allow machines to process metadata consistently across systems. It suggests MLR define properties, classes, and application profiles to structure metadata and leverage existing standards like Dublin Core rather than creating a new "metadata island". Developing MLR in this way would enable large-scale interoperability through linked open data.
The document discusses Dublin Core and other metadata schemas for exposing information on the web. It outlines four rules: use URIs as names for things, use HTTP URIs so people can look them up, provide useful information when URIs are looked up, and include links to other URIs. The document also discusses how metadata from different domains and vocabularies can be combined using common frameworks like ontologies. It provides an example of converting XML metadata to a graph using RDF.
DC-2008 Tutorial 3 - Dublin Core and other metadata schemasMikael Nilsson
油
The document discusses metadata standards and interoperability. It provides an overview of Dublin Core and other metadata schemas. It describes how Dublin Core terms are defined both for human understanding through textual definitions, as well as machine understanding through formal semantics expressed in RDF. This allows metadata using Dublin Core terms to be combined and processed in an interoperable way on the Semantic Web.
The document discusses the DCMI Metadata Framework, which includes the DCMI Abstract Model (DCAM) and other components. DCAM defines core metadata constructs like properties and vocabularies, and provides a basis for defining interoperable vocabularies, profiles, and syntaxes. It also discusses challenges around cross-framework interoperability and terminology used for different types of metadata specifications.
Presentation biblioteks-natverkstraffen 2014-11-11 i UppsalaMats Brenner
油
En presentation vad Learning Center vid H旦gskolan i G辰vle och H旦gskolebiblioteket i G辰vle gjort och g旦r f旦r anv辰ndarunders旦kningar, utv辰rderingar och validering (ett instrument f旦r sj辰lvskattning) av l辰rare och studenter.
Om learning analytics och projektet LACE p奪 Framtidens l辰rande 2014Peter Karlberg
油
Jan Hyl辿ns och min presentation p奪 Framtidens l辰rande 2014 om learning analytics och projektet LACE som Skolverket deltar i. Vid samma tillf辰lle presenterades ocks奪 Ume奪s arbete med beslutsst旦d och Nacka kommuns arbete med analysgrupper (datateam)
This document discusses the work of the DCMI-IEEE LTSC Task Force to specify how to express Learning Object Metadata (LOM) instances using terms and constructs from the Dublin Core Metadata Initiative (DCMI) Abstract Model. The Task Force aims to develop a Recommended Practice that defines how LOM elements can be mapped to DCMI Abstract Model classes, properties and encoding schemes to allow LOM metadata to be combined with DCMI metadata in applications. The Task Force has produced initial analyses and examples and plans further work to create an application profile and transformation between LOM and the DCMI Abstract Model representation.
The document summarizes the achievements and discussions at the DC Architecture Forum meeting in Singapore. It lists recommendations and working drafts for specifications like DC-TEXT and representations of DC in RDF and XML. It also outlines discussions that took place on models like the Description Set Profile and representations of DC in HTML and RDF schemas. Remaining issues and the 2007-2008 workplan are mentioned.
The document discusses Dublin Core Description Set Profiles (DSPs), which formally represent the constraints of a Dublin Core Application Profile. DSPs specify what metadata terms and values are allowed for descriptions. They are a mandatory component of new DC Application Profile definitions. An example DSP is provided for describing books and their creators using DC terms. The DSP can be converted to XML and used to generate constrained metadata editors.
The document discusses two PARs (Project Authorization Requests) related to expressing IEEE Learning Object Metadata (LOM) using Semantic Web technologies and the Dublin Core Abstract Model. One PAR is for an RDF vocabulary to define LOM element semantics. The other is a recommended practice for expressing LOM instances using DCAM. The goal is to make LOM interoperable with Dublin Core and allow elements to be mixed and matched. A task force with members from both organizations is working on documents and recommendations to address the PARs.
The document discusses semantic technologies for teaching and learning. It provides a high-level overview of implementing semantics, noting that it requires a high degree of system maturity. It also discusses the web architecture perspective, noting that web architecture now supports novel methods of accessing data through SPARQL endpoints and REST services that emit RDF. Stabilizing the architecture involves technologies like HTTP URIs, RDF, RDF Schema, OWL, GRDDL, REST services, SPARQL, Linked Data, vocabularies, and content negotiation.
The document discusses use cases for applying the LOM metadata standard with RDF bindings, including an educational broadcasting company in Sweden using it to describe their media content and an online peer-to-peer network for exchanging metadata. It also covers issues with synchronizing the LOM-XML and LOM-RDF versions and the status of the RDF binding for LOM being ballot-ready with some limitations noted.
The document discusses the LOM RDF binding specification for metadata which represents metadata using RDF statements and schemas to create complex structures and vocabularies. It provides examples of representing LOM elements in RDF and describes the SHAME tool for editing and querying RDF metadata which allows extending vocabularies and mixing properties from different sources. The status and usage scenarios of the LOM RDF binding are discussed along with ongoing work to continue developing the specification.
The document discusses work done by the KMR Group at CID Knowledge Management Research Group on several projects including PADLR, Edutella, modular content archives, and portfolios. Specifically:
1) The group is working on building query and mapping services for the Edutella peer-to-peer framework for exchanging metadata.
2) Current work includes developing and testing schemas and APIs for queries, and methods for registration and mapping in hubs.
3) The group is also working on projects involving graphical query languages, evaluating Edutella for user tools, and integrating portfolios.
The document discusses interactive learning environments (ILEs) being explored by researchers at the Centre for User Oriented IT Design. The ILEs aim to address fundamental educational issues by designing open, learner-centric e-learning architectures using next-generation web technologies. Several PhD projects are investigating topics like designing ILEs for global learning, supporting interest-driven learning, and developing reusable learning content. Prototypes are being developed and evaluated in collaboration with educational partners. The vision is for a "knowledge manifold" to support question-based, interest-driven lifelong learning through distributed knowledge resources and certified teachers.
1. Matriks l辰rresurser och erfarenhetstorg f旦r matematik KTHB Temadag 25 oktober 2007 Mikael Nilsson, projektledare
2. Kort om mig... Doktorand p奪 KTH, Metadata f旦r l辰rande Fokus p奪 matematik辰mnet Aktiv i standardisering inom bla Dublin Core (Abstract Model, DC-RDF) IEEE LTSC (LOM, LOM-RDF) ISO JTC1 (Metadata for Learning Resources) Projektledare f旦r Matriks
3. Projektm奪l Erfarenhetsutbyte i digital form kring digitala och icke-digitala l辰rresurser av praktiserande l辰rare (h旦gskolan+matte) ... i syfte att stimulera pedagogisk samverkan p奪visa proof-of-concept teknik
4. Fr奪n ans旦kan... Projektet avser att skapa ett nationellt tillg辰ngligt, s旦kbart, icke- auktorit辰rt n辰tverk f旦r l辰rresurser (och beskrivningar av s奪dana) i matematik p奪 h旦gskoleniv奪 i syfte att stimulera pedagogisk samverkan l辰rare emellan kring utveckling och utbyte av s奪dana resurser producerade s奪v辰l inom som utom h旦gskolan. En prototyp konstrueras med syfte att underl辰tta f旦r och inspirera l辰rare och studenter att s旦ka i, kommentera, diskutera och utv辰rdera samt bidra till det gemensamma n辰tverket av pedagogiska l辰robjekt. Under projektets g奪ng kommer vi stegvis att ut旦ka m辰ngden s旦kbara resurser. Bland annat kommer vi att g旦ra biblioteksmaterial i matematik tillg辰ngligt via en koppling till LIBRIS.
5. Vilka 辰r Matriks? mnesexpert Biblioteksgrupp Utvecklare Producentgrupp L辰rare Ledning Ambj旦rn Naeve Ambj旦rn Naeve UR .... .... .... .... .... .... Carolina Rediviva LIBRIS KTHB Beurlingbib. Mikael Karlsson Mikael Nilsson Anders Ambr辿n Ambj旦rn Naeve
6. Tidslinje f旦r l辰rarna Jan Aug Botanisera, fokusera Feb Mar Apr Maj Jun Jul Annotera Anpassa Testa Utv辰rdera Framtidsfundera
7. Tidslinje f旦r projektet i stort Jan Aug Veckom旦ten per distans Feb Mar Apr Maj Jun Jul Tillg辰ngligg旦rande av URs mattearkiv Utveckling av portfoliosystemet Utveckling av biblioteksintegration Utveckling av matematisk klassifikationsstruktur Utv辰rdering, rapportskrivande
8. L辰rarsp奪ret L辰rarn辰tverk: 6 l辰rare 4 fortfarande aktiva M旦ten: Inledande videom旦te, kickoff, etc veckovisa videom旦ten (fortfarande!) Experimenterande och utbyte Via portf旦ljsystemet Confolio Erfarenheter fr奪n egen undervisning
9. Material Ambj旦rns resursarkiv (se hemsidan ) Klipp fr奪n URs TV-program B旦cker fr奪n LIBRIS Egenutvecklat! Bl.a.: Animationer Anteckningar Interaktivt material Externt funnet p奪 n辰tet
10. Bibliotekssp奪ret, bibliotekarier Hittat och anpassat taxonomi f旦r anv辰ndning f旦r l辰rresurser i matematik Utvecklat 旦vers辰ttningar och tabeller mellan denna och SAO, SAB, LCSH Testat p奪 l辰rare Utvecklat riktlinjer f旦r annotation
11. Bibliotekssp奪ret, utveckling Import av LIBRIS-data till portf旦ljsystemet S旦kning i LIBRIS med SQI Annotationer och s旦kningar baserat p奪 SAO matematiktaxonomier, etc.
12. Utveckling, 旦vrigt F旦rb辰ttringar av kommentarssystemet Implementation av s旦kning via SQI B辰ttre s旦kgr辰nssnitt f旦r olika sorters material ... andra f旦rb辰ttring baserat p奪 input fr奪n l辰rarna.
13. Framtiden Stor workshop med l辰rare och framtida intressenter Storskaligt Matriks? B辰ttre teknik Mer teknisk samverkan UR Skolor NSHU Bibliotek Universitet Mer fokus p奪 anv辰ndningen
14. Framtiden LIBRIS en fantastisk bas, l辰tt tillg辰nglig B旦cker + sammanhang avg旦rande i l辰rsituationer Sammanhang = erfarenheter, 奪sikter, utv辰rderingar relaterat material, kurser, ... anv辰ndningsomr奪de, grupper, ... UR har b旦rjat arbeta efter denna modell