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The initial Bio2RDF project description shown at Semantic Web bird of a feather during ISMB2005.
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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
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Attacks on counties – USA
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Axis of attacks – Europe
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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
Learning Object Annotation in Agricultural Learning Repositories
1. Learning Object Annotation in
Agricultural Learning Repositories
Hannes Ebner1, Nikos Manouselis2, Matthias Palmér1,
Fredrik Enoksson1, Nikos Palavitsinis2, Kostas Kastrantas2,
Ambjörn Naeve1
1
Royal Institute of Technology (KTH), Sweden
2
Greek Research and Technology Network (GRNET), Greece
The 9th IEEE International Conference on Advanced
Learning Technologies (ICALT)
July 15-17, 2009. Latvia, Riga.
1
3. Organic.Edunet
A Multilingual Federation of Learning Repositories with
Quality Content for the Awareness and Education of
European Youth about Organic Agriculture and Agroecology
• Consortium with 16 project partners from 10 countries
• Focus on:
– Interoperability between digital collections of learning
resources on organic agriculture and agroecology
– Learning resources
– Educational scenarios
– Pilot trials
3
5. Content Repository -
Conceptual Overview
• Abstraction of quad store and binary data
• Separation between:
– Entry (Metametadata, ACL, ...)
– Resource
– Metadata (local, external, extracted)
• Named graphs
5
6. Agricultural Metadata
• Decision between approaches based on LOM and DC
– CG LOM Core
– FAO Ag-LR AP
– LRE extension to LOM
• Organic.Edunet Application Profile
– Based on LOM and LRE
– Individual modifications to reflect the needs of the project
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7. Organic.Edunet Application Profile
• Partially the vocabularies are used from LRE v3.0
– General Coverage
– Metametadata Contribution
– Educational
• Learning Resource Type
• Intended End User Role
• Context
– Relation Kind
• Creative Commons for Rights Description
• Annotation Description holds the quality certification
• Ontology terms in Classification Entry
– Organic.Edunet Ontology
– AGROVOC (FAO)
– CABI (cabi.org)
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8. Metadata Annotation
• Using “Annotation Tool” based on the SHAME code library
• AJAX component, embeddable in web applications
• Automatically generated user interface
• Based on “Annotation Profiles”
• Reusable graph patterns
– Based on QEL
– Editor for generating APs (e.g. “I need dcterms:title,
dcterms:subject, foaf:Person, and lom:Contribution”
• Metadata is edited directly in the graph
• Leaves metadata outside the graph pattern untouched
8
12. Ontology Terms
• Organic.Edunet Ontology
– Created by domain experts with the help of the technical
partners
– Used for the semantic search in the main portal
– Assigned like tags
– Includes predicates
12
14. Interoperability
• RESTful interface
– {httpverb} {baseuri}/{context}/{kind}/{entry}
– Context & Entry: Integer
– Kind: entry|metadata|...
– Example: GET http://oe.confolio.org/23/metadata/2
• Support for multiple formats
– JSON/JDIL (targeted for web applications)
– LOM/XML
– RDF (based on the IEEE LTSC LOM/DCAM mapping)
– Easy to hook in additional converters
• As much HTTP as possible, e.g. content negotiation
14
15. Harvesting / Querying
• OAI-PMH
– Supported formats
• LOM
• Dublin Core
– Both directions
• SQI
– Translated into SPARQL queries
– Layer in between SQI and SPARQL to respect the ACL
• Custom harvesters
– FAO Capacity Building Portal
15
16. Current Status
• Intense content population phase during summer 2009
• Number of resources
– Harvested: ~6.000
– Imported: ~1.000
– Manually uploaded/annotated: ~1.000
– Target: 10.000
• Harvesting from
– Intute (~5.000)
– FAO Capacity Building Portal (~1.000)
– FAO Corporate Document Repository (~250.000) (sic!)
(planned; filtering for OA to be done)
• Harvesting by
– Organic.Edunet Main Portal
– Ariadne (planned)
– LRE (planned)
16
17. Conclusions
• Web-based tool for learning resource annotation
• Transparent application of Semantic Web technologies
• Interoperability
– Open standards used wherever possible
– LOM/XML <-> DCAM
– Linked Data
• Well prepared for federations
• Generic applicability
– Not restricted to Organic Agriculture
• Seperate reusable components
– Annotation Tool: flexible metadata editor
– SCAM: resource and metadata management framework
– Confolio: e-portfolio web application (in combination with
SCAM)
17
18. http://www.organicedunet.eu
Acknowledgement
The work presented in this paper was partially performed in
the Organic.Edunet project which is supported by the EC
under the eContentplus programme, Agreement No. ECP-
2006-EDU-410012.
Contact Authors
Hannes Ebner (hebner@kth.se)
Nikos Manouselis (nikosm@ieee.org)
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