credit reference service

with more and more check out services available for e-business transaction processing. It is more and more convenient for individuals to sell item/services online on theur own sites without have to depend on purpose-built e-business sites such as ebay.

The credit reference service is helpful to track and demonstrate individual's historic credit to help building the trust between sellers and buyers.

landlord tenant management system - a meeting place for nice landlords and tenants

more and more people are renting and changing location/job more frequently in the uk. with the support from the buy-2let market, it may be an oppetunity to profit from the expected ever increasing transactions between landlord and tenants.

advantage over traditional estate agents and fee charge advertisement:
- web based
- uk range
- credit history of tenants and landlords, trust and linkage from historic tenants . similar to ebay's trust system.
- landlord but-2-let portfolial management. vacancy management.
- no completion, no fee. one cut fee upon successful securing tenants.
- Google map integration for location profile
- more appealing customer's PL profile.
- information exchange

profits:
commission from landlords upon success
a very small fee (refundable at the end of the tenancy if leave reference for this landlord) from the potencial tenants for accessing the landlord's credit histroy
a very small fee (refundable at the end of the tenancy if leave reference for this tenant) from the landlord for accessing the tenant's credit histroy
adsense ads revenue



proposed features:
- landlord and tenant profile managment
- landlord portfolio managment
- deposit tracking
- vacancy managment and planning (integrated with tenant's making one-month-advanced leaving notification)
- customised rental agreement
- customised inventry management
- google map
- successful tenants will be able to access a welcome package prepared by the landlord

further development:
- Web service / Web API interface for B2B intergration
-

futhur research implications: agent technology, knowledge management, semantic web?

related fields: credit reference agency, credit checking services.

B2B idea - customer feedback services for Product improvement

just like what flickr has a service that allows its customer to post/poll the most desirable features.

Similar service made more generic (can be custemised ideally) should have hugh demands from producers such as mobile phone, nokia, etc.

consultancy business - sharing knowledge for revenues

revenue
- incoming calls, (gain consultancy experience and communication skills), phone revenue
- adsense on web site
- paid consultancy, on high charge phone numbers maybe

services on processing electronic content. related

apraisal points

well researched ideas are there , need Ra for development? is it feasible to co-
apply funds and employ RAs?

e-logbook
semantic driven, shared and collebrated, wiki makes it redundant?

e-hobby knowledge management using semantic web and e-learning technologies

learning in hobbies

co-operative learning - learning by reusing, sharing experience and building knowledge together
Learning design management of {roles, event, environment/resources}

Role has resource->equipment

some example domains:

photographing
wine tasting
Badminton
FriendGroup's other fooling-about

Futher thought - distributed/multi-user system where each individual in the role profile can contribute annotation by publishing new instances (centralised or on their side). These new instances may have connections to other exisiting instances somewhere else, which facilitates interacting and sharing. ePrint is a good example where one individual's contribution in annotation can be also shown up / reused in other individuals' (co-authors) territory.

Learning DSLR photograghing - Driven by Semantic Web and Flickr
EXIF ontology - incoperate a concept hierachy of the EXIF properties from several main stream DSLR.
Use a EXIF web service that is driven by flickr API to retrieve EXIF data from a given JPEG url.
use the result to populate the EXIF ontology for an exif instance that describes the photo's exif attributes.
social network analysis based on flickr data, FOAF based on comments, etc.