1. Mobile Data Management Ken Rimey 2003-2004: Personal Distributed Information Store (PDIS) 2005-: Too Many Boxes - end-user digital asset management for networked consumer electronic devices. µXMLDB - an XML database for mobile devices.

2. PDIS (2003-2004) Next-generation data synchronization: Enable people to store copies of their data on several devices, and several computers, and to keep these copies in sync. State-transfer, update-anywhere replicated XML database. –PIM data. –Digital media metadata. Ported to Nokia’s Python for Series 60.

3. TMB: Too Many Boxes Ken Rimey, HIIT How will consumers manage their files on multiple handheld devices, computers, and home/car entertainment boxes? How to combine control with simplicity, rejecting both complete automation and complex graphical user interfaces? Utilize PDIS/PDOS results to build a home network testbed. 2005 volume: 4-5 person-years

4. Hypothesized Issues WHERE to store copies of files? WHEN to synchronize them over wireless networks? WHOse personal devices should have access?

5. TMB Methodology Build and study three prototypes: –Start with raw sharing of files among several phones and several computers, presumed to belong to the same person (1H2005). –Then add in multiple people (family members, etc.), end-user configurability, a focus on specific media types, a mockup of a home entertainment system, and some experimentation with gestural or multimodal interaction techniques (-2006). –Finally, capitalize on this infrastructure by integrating additional applications or devices, or by adapting it to some other setting besides the home (2007).

6. µXMLDB: An XML Database for Mobile Devices Kenneth Oksanen, HUT and HIIT XML is of increasing interest as a vendor-neutral exchange and storage format in handheld devices. Existing XML database solutions target large, administered servers and mostly text-oriented XML data. Needed: A self-administering XML database with small memory and flash consumption, a simple vendor-neutral index creation API, and extensions for querying data-oriented XML. 2005 volume: 3 person-years

7. Research Topics Index management Query language Representation of stored XML

8. Index Management Indexing of XML is not well understood. –Some systems build large generic indices. –Others allow specifying more accurate indices, but no standard API exists for this. Specify intuitively with query templates: /todo[date="%s"] Or automatically based on queries: /todo[date="20040922"] /todo[date="20040923"] The latter leads to an opportunity to construct very concise and selective indices.

9. Query Language Based on XPath and possibly XQuery. Extended for, among other things, categories: –The query /todo[isa(@category, "work")] matches the document..., if “PDIS” is defined as being work. –Categories change, and we don't want to reindex the whole database when they do. Handling RDF and OWL is a possible further research issue.

10. Representation of Stored XML Allow use of compression. Store big CDATA blobs separately.

11. µXMLDB Deliverables An open-source C implementation for Unix and Symbian OS. SWIG interface supporting other languages. Use existing system software (Berkeley DB, SQL, …) for persistence, storage and indexing.