The prime objective of this study was to research the possibilities of synchronizing information such as episodic progression and tracking as well as subscriptions in regards to audio podcasting channels , and to do this without the need of consideration to the underlying platforms. An application providing podcatching capabilities is developed and its features determined through the process of comparing similar existing solutions. Based on this comparison a model is shaped and used as a tool of measuring podcatching capabilities of any media playing software, including the very solution resulting from this study. Supporting questions such as how to find and subscribe to podcast channels will be answered through the analysis of syndication feeds , their structure and how its contents may not only be read but also stored to best accomodate requirements deemed as necessary.
| Identifer | oai:union.ndltd.org:UPSALLA1/oai:DiVA.org:miun-33281 |
| Date | January 2017 |
| Creators | Ström, Erik |
| Publisher | Mittuniversitetet, Avdelningen för data- och systemvetenskap |
| Source Sets | DiVA Archive at Upsalla University |
| Language | English |
| Detected Language | English |
| Type | Student thesis, info:eu-repo/semantics/bachelorThesis, text |
| Format | application/pdf |
| Rights | info:eu-repo/semantics/openAccess |
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