Wiki preservation
From WikiPapers
| wiki preservation (Alternative names for this keyword) | |
| Related keyword(s) | dumps, backup, preservation |
| Export and share | |
| BibTeX, CSV, RDF, JSON | |
| | |
| Browse properties ยท List of keywords | |
wiki preservation is included as keyword or extra keyword in 0 datasets, 1 tools and 1 publications.
Datasets
There is no datasets for this keyword.
Tools
| Tool | Operating System(s) | Language(s) | Programming language(s) | License | Description | Image |
|---|---|---|---|---|---|---|
| WikiTeam tools | Cross-platform | English | Python | WikiTeam tools is a set of tools focused in wiki preservation and backups. |
Publications
| Title | Author(s) | Published in | Language | DateThis property is a special property in this wiki. | Abstract | R | C |
|---|---|---|---|---|---|---|---|
| Urobe: a prototype for wiki preservation | Niko Popitsch Robert Mosser Wolfgang Philipp |
7th International Conference on Preservation of Digital Objects | English | 2010 | More and more information that is considered for digital long-term preservation is generated by Web 2.0 applications like wikis, blogs or social networking tools. However, there is little support for the preservation of these data today. Currently they are preserved like regular Web sites without taking the flexible, lightweight and mostly graph-based data models of the underlying Web 2.0 applications into consideration. By this, valuable information about the relations within these data and about links to other data is lost. Furthermore, information about the internal structure of the data, e.g., expressed by wiki markup languages is not preserved entirely. We argue that this currently neglected information is of high value in a long-term preservation strategy of Web 2.0 data and describe our approach for the preservation of wiki contents that is based on Semantic Web technologies. In particular we describe the distributed architecture of our wiki preservation prototype (Urobe) which implements a migration strategy for wiki contents and is based on Semantic Web and Linked Data principles. Further, we present a first vocabulary for the description of wiki core elements derived from a combination of established vocabularies/standards from the Semantic Web and digital preservation domains, namely Dublin Core, SIOC, VoiD and PREMIS. | 0 | 0 |
