The Educational Linkedscape links all educational related data in the educational landscape. The Educational Linkedscape links all educational related data in the educational landscape. Educational Linkedscape What is it? Kennisnet, Jeroen Hamers

Educational Linkedscape What is it? who? what? how? Kennisnet, Jeroen Hamers

Educational Linkedscape What is it? Schools Students Teachers Coaches Tutors … Teachers Coaches Tutors … Specialist in: Subjects Education ICT … Specialist in: Subjects Education ICT … Governmental Institutions Governmental Institutions Suppliers of: Material Systems … Suppliers of: Material Systems … Services like: Download Payment Assessment … Services like: Download Payment Assessment … Environments: VLE’s Communities Buildings Rooms … Environments: VLE’s Communities Buildings Rooms … Kennisnet, Jeroen Hamers

who (and what) foaf:Person v:role foaf:Organization foaf:schoolHomepage xmlns:v=“ xmlns:foaf=" Students Teachers Coaches Tutors … Teachers Coaches Tutors … Specialist in: Subjects Education ICT … Specialist in: Subjects Education ICT … Schools Specialist in: Subjects Education ICT … Specialist in: Subjects Education ICT … Governmental Institutions Governmental Institutions Suppliers of: Material Systems … Suppliers of: Material Systems … Services like: Download Payment Assessmnt … Services like: Download Payment Assessmnt … Environments: VLE’s Communities Buildings Rooms … Environments: VLE’s Communities Buildings Rooms …

Educational Linkedscape What is it? (meta) data about all people and organizations in the Educational Linkedscape (meta) data about all people and organizations in the Educational Linkedscape Grades Portfolio’s Curricula Vocabularies Definitions Curricula Vocabularies Definitions Learning objects (LO’s) and ( social ) metadata about LO’s Usage data Course attendance Internships Job opportunities Course attendance Internships Job opportunities Statistics Kennisnet, Jeroen Hamers

Educational Linkedscape What is it? Related by reference (descriptions about somebody or something) Related by reference (descriptions about somebody or something) Logically related (something is related to something else in a certain way, thus one can deduct a certain backward, or inherited relation) Logically related (something is related to something else in a certain way, thus one can deduct a certain backward, or inherited relation) Related by a common property (like: author, publisher, location, tag,user, etc…) Related by a common property (like: author, publisher, location, tag,user, etc…) Related by source location (like: webpage/site, triple store, database, document, record, etc…) Related by source location (like: webpage/site, triple store, database, document, record, etc…) Related by aggregated data (after you aggregate some already related data, this aggregated data can have a certain relation with other (aggregated) data. Related by aggregated data (after you aggregate some already related data, this aggregated data can have a certain relation with other (aggregated) data. Related by usage (who uses something, when is something used) Related by usage (who uses something, when is something used) Related by socially determined relations (someone or a group might agree on a certain relation, while others do not, or do not have an opinion yet) Related by socially determined relations (someone or a group might agree on a certain relation, while others do not, or do not have an opinion yet) Potentially related by suggestions (based on a certain number of common properties, a certain new relation might be suggested, after which one might determine the actual new relation.) Potentially related by suggestions (based on a certain number of common properties, a certain new relation might be suggested, after which one might determine the actual new relation.) Kennisnet, Jeroen Hamers

Educational Linkedscape What is it? Related by reference (descriptions about somebody or something) Related by reference (descriptions about somebody or something) Logically related (something is related to something else in a certain way, thus one can deduct a certain backward, or inherited relation) Logically related (something is related to something else in a certain way, thus one can deduct a certain backward, or inherited relation) Related by a common property (like: author, publisher, location, tag,user, etc…) Related by a common property (like: author, publisher, location, tag,user, etc…) Related by source location (like: webpage/site, triple store, database, document, record, etc…) Related by source location (like: webpage/site, triple store, database, document, record, etc…) Related by aggregated data (after you aggregate some already related data, this aggregated data can have a certain relation with other (aggregated) data. Related by aggregated data (after you aggregate some already related data, this aggregated data can have a certain relation with other (aggregated) data. Related by usage (who uses something, when is something used) Related by usage (who uses something, when is something used) Related by socially determined relations (someone or a group might agree on a certain relation, while others do not, or do not have an opinion yet) Related by socially determined relations (someone or a group might agree on a certain relation, while others do not, or do not have an opinion yet) Potentially related by suggestions (based on a certain number of common properties, a certain new relation might be suggested, after which one might determine the actual new relation.) Potentially related by suggestions (based on a certain number of common properties, a certain new relation might be suggested, after which one might determine the actual new relation.) We like it…We hate it! We don’t have un opinion yet. Related by socially determined relations (someone or a group might agree on a certain relation, while others do not, or do not have an opinion yet) Related by socially determined relations (someone or a group might agree on a certain relation, while others do not, or do not have an opinion yet) links The Educational Linkedscape links all educational related data in the educational landscape. How is educational related data linked links The Educational Linkedscape links all educational related data in the educational landscape. How is educational related data linked Kennisnet, Jeroen Hamers

Educational Linkedscape What is it? Related by reference (descriptions about somebody or something) Related by reference (descriptions about somebody or something) Logically related (something is related to something else in a certain way, thus one can deduct a certain backward, or inherited relation) Logically related (something is related to something else in a certain way, thus one can deduct a certain backward, or inherited relation) Related by a common property (like: author, publisher, location, tag,user, etc…) Related by a common property (like: author, publisher, location, tag,user, etc…) Related by source location (like: webpage/site, triple store, database, document, record, etc…) Related by source location (like: webpage/site, triple store, database, document, record, etc…) Related by aggregated data (after you aggregate some already related data, this aggregated data can have a certain relation with other (aggregated) data. Related by aggregated data (after you aggregate some already related data, this aggregated data can have a certain relation with other (aggregated) data. Related by usage (who uses something, when is something used) Related by usage (who uses something, when is something used) Related by socially determined relations (someone or a group might agree on a certain relation, while others do not, or do not have an opinion yet) Related by socially determined relations (someone or a group might agree on a certain relation, while others do not, or do not have an opinion yet) Potentially related by suggestions (based on a certain number of common properties, a certain new relation might be suggested, after which one might determine the actual new relation.) Potentially related by suggestions (based on a certain number of common properties, a certain new relation might be suggested, after which one might determine the actual new relation.) links The Educational Linkedscape links all educational related data in the educational landscape. How is educational related data linked links The Educational Linkedscape links all educational related data in the educational landscape. How is educational related data linked Related by reference (descriptions about somebody or something) Related by reference (descriptions about somebody or something) Purl Purl Dutch - Grammer - Purl Dutch - Grammer -Purl.007 -Foreign lang -age Purl.007 -Foreign lang -age Purl.007 -Dutch -Age 9 - Purl.007 -Dutch -Age 9 -Purl.007 -CCby -Purl.007 -CCby Kennisnet, Jeroen Hamers

Educational Linkedscape What is it? Related by reference (descriptions about somebody or something) Related by reference (descriptions about somebody or something) Logically related (something is related to something else in a certain way, thus one can deduct a certain backward, or inherited relation) Logically related (something is related to something else in a certain way, thus one can deduct a certain backward, or inherited relation) Related by a common property (like: author, publisher, location, tag,user, etc…) Related by a common property (like: author, publisher, location, tag,user, etc…) Related by source location (like: webpage/site, triple store, database, document, record, etc…) Related by source location (like: webpage/site, triple store, database, document, record, etc…) Related by aggregated data (after you aggregate some already related data, this aggregated data can have a certain relation with other (aggregated) data. Related by aggregated data (after you aggregate some already related data, this aggregated data can have a certain relation with other (aggregated) data. Related by usage (who uses something, when is something used) Related by usage (who uses something, when is something used) Related by socially determined relations (someone or a group might agree on a certain relation, while others do not, or do not have an opinion yet) Related by socially determined relations (someone or a group might agree on a certain relation, while others do not, or do not have an opinion yet) Potentially related by suggestions (based on a certain number of common properties, a certain new relation might be suggested, after which one might determine the actual new relation.) Potentially related by suggestions (based on a certain number of common properties, a certain new relation might be suggested, after which one might determine the actual new relation.) Related by a common property (like: author, publisher, location, tag,user, etc…) Related by a common property (like: author, publisher, location, tag,user, etc…) Purl Purl Dutch - Grammer - Purl Dutch - Grammer -Purl.006 -Dutch -windmills -Purl.006 -Dutch -windmills - Purl.007 -Dutch -Age 9 - Purl.007 -Dutch -Age 9 -Purl.007 -CCby -Purl.007 -CCby Purl.006 Purl Purl.015 -Math -Age 9 -CCby - Purl.015 -Math -Age 9 -CCby links The Educational Linkedscape links all educational related data in the educational landscape. How is educational related data linked links The Educational Linkedscape links all educational related data in the educational landscape. How is educational related data linked Kennisnet, Jeroen Hamers

Educational Linkedscape What is it? Related by reference (descriptions about somebody or something) Related by reference (descriptions about somebody or something) Logically related (something is related to something else in a certain way, thus one can deduct a certain backward, or inherited relation) Logically related (something is related to something else in a certain way, thus one can deduct a certain backward, or inherited relation) Related by a common property (like: author, publisher, location, tag,user, etc…) Related by a common property (like: author, publisher, location, tag,user, etc…) Related by source location (like: webpage/site, triple store, database, document, record, etc…) Related by source location (like: webpage/site, triple store, database, document, record, etc…) Related by aggregated data (after you aggregate some already related data, this aggregated data can have a certain relation with other (aggregated) data. Related by aggregated data (after you aggregate some already related data, this aggregated data can have a certain relation with other (aggregated) data. Related by usage (who uses something, when is something used) Related by usage (who uses something, when is something used) Related by socially determined relations (someone or a group might agree on a certain relation, while others do not, or do not have an opinion yet) Related by socially determined relations (someone or a group might agree on a certain relation, while others do not, or do not have an opinion yet) Potentially related by suggestions (based on a certain number of common properties, a certain new relation might be suggested, after which one might determine the actual new relation.) Potentially related by suggestions (based on a certain number of common properties, a certain new relation might be suggested, after which one might determine the actual new relation.) Related by source location (like: webpage/site, triple store, database, document, record, etc…) Related by source location (like: webpage/site, triple store, database, document, record, etc…) Nice! Where did it come from? Rubbish, is all material from that repository as bad? links The Educational Linkedscape links all educational related data in the educational landscape. How is educational related data linked links The Educational Linkedscape links all educational related data in the educational landscape. How is educational related data linked Kennisnet, Jeroen Hamers

Educational Linkedscape What is it? Related by reference (descriptions about somebody or something) Related by reference (descriptions about somebody or something) Logically related (something is related to something else in a certain way, thus one can deduct a certain backward, or inherited relation) Logically related (something is related to something else in a certain way, thus one can deduct a certain backward, or inherited relation) Related by a common property (like: author, publisher, location, tag,user, etc…) Related by a common property (like: author, publisher, location, tag,user, etc…) Related by source location (like: webpage/site, triple store, database, document, record, etc…) Related by source location (like: webpage/site, triple store, database, document, record, etc…) Related by aggregated data (after you aggregate some already related data, this aggregated data can have a certain relation with other (aggregated) data. Related by aggregated data (after you aggregate some already related data, this aggregated data can have a certain relation with other (aggregated) data. Related by usage (who uses something, when is something used) Related by usage (who uses something, when is something used) Related by socially determined relations (someone or a group might agree on a certain relation, while others do not, or do not have an opinion yet) Related by socially determined relations (someone or a group might agree on a certain relation, while others do not, or do not have an opinion yet) Potentially related by suggestions (based on a certain number of common properties, a certain new relation might be suggested, after which one might determine the actual new relation.) Potentially related by suggestions (based on a certain number of common properties, a certain new relation might be suggested, after which one might determine the actual new relation.) Related by usage (who uses something, when is something used) Related by usage (who uses something, when is something used) Used in 2010 Used in 2011 Used in 2010 Used in 2011 links The Educational Linkedscape links all educational related data in the educational landscape. How is educational related data linked links The Educational Linkedscape links all educational related data in the educational landscape. How is educational related data linked Kennisnet, Jeroen Hamers

Educational Linkedscape What is it? Related by reference (descriptions about somebody or something) Related by reference (descriptions about somebody or something) Logically related (something is related to something else in a certain way, thus one can deduct a certain backward, or inherited relation) Logically related (something is related to something else in a certain way, thus one can deduct a certain backward, or inherited relation) Related by a common property (like: author, publisher, location, tag,user, etc…) Related by a common property (like: author, publisher, location, tag,user, etc…) Related by source location (like: webpage/site, triple store, database, document, record, etc…) Related by source location (like: webpage/site, triple store, database, document, record, etc…) Related by aggregated data (after you aggregate some already related data, this aggregated data can have a certain relation with other (aggregated) data. Related by aggregated data (after you aggregate some already related data, this aggregated data can have a certain relation with other (aggregated) data. Related by usage (who uses something, when is something used) Related by usage (who uses something, when is something used) Related by socially determined relations (someone or a group might agree on a certain relation, while others do not, or do not have an opinion yet) Related by socially determined relations (someone or a group might agree on a certain relation, while others do not, or do not have an opinion yet) Potentially related by suggestions (based on a certain number of common properties, a certain new relation might be suggested, after which one might determine the actual new relation.) Potentially related by suggestions (based on a certain number of common properties, a certain new relation might be suggested, after which one might determine the actual new relation.) links The Educational Linkedscape links all educational related data in the educational landscape. How is educational related data linked links The Educational Linkedscape links all educational related data in the educational landscape. How is educational related data linked Related by aggregated data (after you aggregate some already related data, this aggregated data can have a certain relation with other (aggregated) data. Related by aggregated data (after you aggregate some already related data, this aggregated data can have a certain relation with other (aggregated) data. 0 times used 4 times used 2 times used 7 times used 6 times used 2 times used Not yet used material… What could it mean? Does it need testing or extra promotion? Not yet used material… What could it mean? Does it need testing or extra promotion? Kennisnet, Jeroen Hamers

Educational Linkedscape What is it? Related by reference (descriptions about somebody or something) Related by reference (descriptions about somebody or something) Logically related (something is related to something else in a certain way, thus one can deduct a certain backward, or inherited relation) Logically related (something is related to something else in a certain way, thus one can deduct a certain backward, or inherited relation) Related by a common property (like: author, publisher, location, tag,user, etc…) Related by a common property (like: author, publisher, location, tag,user, etc…) Related by source location (like: webpage/site, triple store, database, document, record, etc…) Related by source location (like: webpage/site, triple store, database, document, record, etc…) Related by aggregated data (after you aggregate some already related data, this aggregated data can have a certain relation with other (aggregated) data. Related by aggregated data (after you aggregate some already related data, this aggregated data can have a certain relation with other (aggregated) data. Related by usage (who uses something, when is something used) Related by usage (who uses something, when is something used) Related by socially determined relations (someone or a group might agree on a certain relation, while others do not, or do not have an opinion yet) Related by socially determined relations (someone or a group might agree on a certain relation, while others do not, or do not have an opinion yet) Potentially related by suggestions (based on a certain number of common properties, a certain new relation might be suggested, after which one might determine the actual new relation.) Potentially related by suggestions (based on a certain number of common properties, a certain new relation might be suggested, after which one might determine the actual new relation.) links The Educational Linkedscape links all educational related data in the educational landscape. How is educational related data linked links The Educational Linkedscape links all educational related data in the educational landscape. How is educational related data linked Logically related (something is related to something else in a certain way, thus one can deduct a certain backward, or inherited relation) Logically related (something is related to something else in a certain way, thus one can deduct a certain backward, or inherited relation) You are my students You are our teacher! Then you must be my students Then you must be my students This is what I will teach you A A I already did this and had an A C C I only did this and had a C… Logic suggestion: replace with for. Logic suggestion: replace with for. Logic suggestion: may skip. Logic suggestion: may skip. Kennisnet, Jeroen Hamers

Educational Linkedscape What is it? Related by reference (descriptions about somebody or something) Related by reference (descriptions about somebody or something) Logically related (something is related to something else in a certain way, thus one can deduct a certain backward, or inherited relation) Logically related (something is related to something else in a certain way, thus one can deduct a certain backward, or inherited relation) Related by a common property (like: author, publisher, location, tag,user, etc…) Related by a common property (like: author, publisher, location, tag,user, etc…) Related by source location (like: webpage/site, triple store, database, document, record, etc…) Related by source location (like: webpage/site, triple store, database, document, record, etc…) Related by aggregated data (after you aggregate some already related data, this aggregated data can have a certain relation with other (aggregated) data. Related by aggregated data (after you aggregate some already related data, this aggregated data can have a certain relation with other (aggregated) data. Related by usage (who uses something, when is something used) Related by usage (who uses something, when is something used) Related by socially determined relations (someone or a group might agree on a certain relation, while others do not, or do not have an opinion yet) Related by socially determined relations (someone or a group might agree on a certain relation, while others do not, or do not have an opinion yet) Potentially related by suggestions (based on a certain number of common properties, a certain new relation might be suggested, after which one might determine the actual new relation.) Potentially related by suggestions (based on a certain number of common properties, a certain new relation might be suggested, after which one might determine the actual new relation.) links The Educational Linkedscape links all educational related data in the educational landscape. How is educational related data linked links The Educational Linkedscape links all educational related data in the educational landscape. How is educational related data linked Potentially related by suggestions (based on a certain number of common properties, a certain new relation might be suggested, after which one might determine the actual new relation.) Potentially related by suggestions (based on a certain number of common properties, a certain new relation might be suggested, after which one might determine the actual new relation.) Kennisnet, Jeroen Hamers D D A A F F B B C C B B A A Suggestion: a number of students with the same goal used, according to their ePortfolio, the same material to achieve that goal. Should I combine the descriptions of this material into a new learning trajectory? Suggestion: & had the same learning objective as,,, &, but scored significantly lower. The difference and commonality analyses shows that & both used and the others didn’t. Should I add a negative recommendation to that material? Suggestion: & had the same learning objective as,,, &, but scored significantly lower. The difference and commonality analyses shows that & both used and the others didn’t. Should I add a negative recommendation to that material? Suggestion: The difference and commonality analyses shows that & both had a grade A and both used and the others scored lower and didn’t use. Should I add to the ePortfolio Action Plan of,,, & ? Suggestion: The difference and commonality analyses shows that & both had a grade A and both used and the others scored lower and didn’t use. Should I add to the ePortfolio Action Plan of,,, & ?

What does the Educational Linkedscape need? INPUT Database connections Tools that generate RDF data RDF M dels

What does the Educational Linkedscape need? Data visualisation tools Data query tools Data browse tools

What does the Educational Linkedscape need? A starting point

What does the Educational Linkedscape need? Vocabulairy Bank(s), (that need to be filled and maintained) Repositories, (that need to be connected as linked data) Models, …that need to be connected Momentum and urgency felt by stakeholders, So I ask again: where to start?

Educational Linkedscape How is it linked? (ELS Architecture) Educational Linkedscape webpages HTTP webservices databases CQL/SQL/… interfaces triplestores SPARQL SPARQL endpoints Educational Linkedscape Vocabulary (and other RDF vocabularies) Kennisnet, Jeroen Hamers

search assess Educational Linkedscape Use Cases learn teach develop monitor compare analyze Kennisnet, Jeroen Hamers

Educational Linkedscape Search Use Case Search GUI Result monitor Filters Query interpreter Autofinish Results Query generator Query monitor user prefs Search GUI generator Educational Linkedscape vocabularies organisations people usage data user data services settings groups Search engine Index Triple store Federations Result templates repositories Linked metadata Kennisnet, Jeroen Hamers

ontwikkelen managen kpi’s monitoren doelen bepalen rapporteren toepassen bij metadateren gebruiken bij zoeken ketens verbinden beheren Vocabulaire Bank Educational Linkedscape onderzoek advies sturing borging ontsluiting verbinden publiciteit EduStandaard adviesraad Kennisnet, Jeroen Hamers