Systems and methods for generating metadata associated with learning resources
Systems and methods for generating metadata for at least one learning resource are provided. The system includes at least one data storage device storing a plurality of predefined metadata templates, each of the metadata templates having a plurality of metadata fields and a processor in data communication with the at least one data storage device. The processor is configured to receive the at least one learning resource, the at least one learning resource including an electronic file having a learning resource type and content data, select a metadata template from the predefined metadata templates based upon the learning resource type of the at least one learning resource, determine a topic associated with the learning resource, and customize the selected metadata template by adding one or more predefined metadata fields associated with the topic of the learning resource.
1. A system for generating metadata for at least one learning resource, the system comprising:
(a) at least one data storage device storing a plurality of predefined metadata templates, each of the metadata templates having a plurality of metadata fields; and
(b) at least one processor in data communication with the at least one data storage device, the at least one processor configured to:
(i) receive the at least one learning resource, the at least one learning resource including an electronic file having a learning resource type and content data,
(ii) select a metadata template from the predefined metadata templates based upon the learning resource type of the at least one learning resource,
(iii) determine a topic associated with the learning resource,
(iv) customize the selected metadata template by adding one or more predefined metadata fields associated with the topic of the learning resource, the customized metadata template including learning resource metadata fields indicative of the topic of the learning resource, and
(v) overwrite or combine existing metadata from one or more older learning resources with incoming metadata from the learning resource in the customized metadata template if new metadata is required.
2. The system of claim 1 , wherein the topic associated with the learning resource is determined from the context of the learning resource within an electronic learning system.
3. The system of claim 2 , wherein the context of the learning resource includes location of the learning resource in organization topology of the learning system.
4. The system of claim 2 , wherein the context of the learning resource includes the user profile providing the learning resource.
5. The system of claim 1 , wherein the topic associated with the learning resource is determined based upon semantic analysis of the content data of the electronic file of the learning resource.
6. The system of claim 1 , wherein the at least one processor is further configured to populate the metadata fields of the customized metadata data template.
7. The system of claim 6 , wherein the metadata fields are populated based upon the textual information associated with the content data of the electronic file of the learning resource.
8. The system of claim 7 , wherein the textual information is processed via a natural language processor to determine a plurality of keywords associated with the learning resource.
9. The system of claim 8 , wherein the keywords associated with the learning resource are contrasted with a predefined collection of keywords associated with the topic of the learning resource to determine suitable keywords to populate the metadata fields.
10. The system of claim 9 , wherein the at least one processor is further configured to determine whether there is an older version of the learning resource, and when there is an older version of the learning resource, obtain an old metadata record associated with the older version of the learning resource and use the old metadata record to populate the new metadata record.
11. A computer implemented method for generating metadata for at least one learning resource, the method comprising:
(a) receiving the at least one learning resource, the at least one learning resource including an electronic file having a learning resource type and content data;
(b) selecting a metadata template from a plurality of predefined metadata templates based upon the learning resource type of the at least one learning resource, each of the metadata templates having a plurality of metadata fields;
(c) determining a topic associated with the learning resource;
(d) customizing the selected metadata template by adding one or more predefined metadata fields associated with the topic of the learning resource, the customized metadata template including learning resource metadata fields indicative of the topic of the learning resource; and
(e) overwriting or combining existing metadata from one or more older learning resources with incoming metadata from the learning resource in the customized metadata template if new metadata is required.
12. The method of claim 11 , wherein the topic associated with the learning resource is determined from the context of the learning resource within an electronic learning system.
13. The method of claim 12 , wherein the context of the learning resource includes location of the learning resource in organization topology of the learning system.
14. The method of claim 12 , wherein the context of the learning resource includes the user profile providing the learning resource.
15. The method of claim 11 , wherein the topic associated with the learning resource is determined based upon semantic analysis of the content data of the electronic file of the learning resource.
16. The method of claim 11 , further comprising populating the metadata fields of the customized metadata data template.
17. The method of claim 16 , wherein the metadata fields are populated based upon the textual information associated with the content data of the electronic file of the learning resource.
18. The method of claim 17 , wherein the textual information is processed via a natural language processor to determine a plurality of keywords associated with the learning resource.
19. The method of claim 18 , wherein the keywords associated with the learning resource are contrasted with a predefined collection of keywords associated with the topic of the learning resource to determine suitable keywords to populate the metadata fields.
20. The method of claim 19 , wherein the method further comprises determining whether there is an older version of the learning resource, and when there is an older version of the learning resource, obtaining an old metadata record associated with the older version of the learning resource and populating the metadata fields based upon the old metadata record.