Name
Abstract | ||
|---|---|---|
The services provided by learning object repositories are usually enabled by the processing of the metadata documents associated with these learning objects. This paper proposes a way to process these metadata documents, which are usually encoded in XML, through a framework called XLOP. XLOP is based on attribute grammars, a well-known technique used in the development of language processors. XLOP makes the automatic generation of efficient XML processing components from high-level specifications possible, enhancing the maintainability of the aforementioned services. The technique is illustrated in the context of Chasqui, a system for building repositories of learning objects in specialized domains. |
Year | DOI | Venue |
|---|---|---|
2009 | 10.1109/ICALT.2009.211 | ICALT |
Keywords | Field | DocType |
XML,attribute grammars,information resources,meta data,Chasqui context,XLOP framework,XML,XML Language Oriented Processing framework,XML processing component,aforementioned service maintainability,attribute grammar,hypermedia markup language processing component,hypermedia markup languages,learning object repository,metadata document,processing learning object,Attribute Grammars,Metadata,Reusable Learning Objects,XML Processing | Rule-based machine translation,Metadata,Attribute grammar,Programming language,XML,Computer science,Robustness (computer science),Learning object,Maintainability,Markup language | Conference |
Citations | PageRank | References |
4 | 0.46 | 7 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Antonio Sarasa-Cabezuelo | 1 | 44 | 5.54 |
| José Luis Sierra | 2 | 449 | 48.96 |
| Alfredo Fernandez-Valmayor | 3 | 221 | 28.42 |