The Web is a stateless and complex environment when it comes to the retrieval of information from millions of computers connected to the Internet via WWW servers. Information Retrieval (IR) from heterogeneous data sources poses a great challenge as the information of interest is stored in a variety of different formats. Answering an enormous amount of queries is a resource and computational intensive task in ODR (Online Dispute Resolution). Information availability also poses a challenge when it comes to the mediation and arbitration processes in resolving eCommerce and legal disputes. A new Grid-based information retrieval model is proposed for the aggregation and replication of legal datasets from remote machines with indexed-based search facility. Datasets of interests will be indexed with a slight modification to the existing indexing scheme. A new strategy is proposed to deal with similar queries posted over and over again and how the commonality among the XML query trees are exploited and merged for the efficient retrieval of information.
Continuous Queries (CQ) are persistent, content sensitive and time dependent. Once the CQ is installed it will continuously poll the data sources and monitor updates of interest. This paper discusses major problems and issues with the existing CQ techniques for monitoring updates of interest on the web. A new Continuous Query based architecture is proposed to deal with the context sensitive problems of negotiation, mediation and arbitration to resolve Ecommerce and legal disputes. A business process model is given to automate mediation and arbitration processes in ODR (Online dispute resolution) to resolve disputes efficiently and in a timely manner. In the proposed CQ-Mediator architecture partial page update and web services are integrated for efficient monitoring and notification of updates to the disputants, mediators and arbitrators. Performance results of the proposed architecture and business process model for CQ-based ODR is also discussed in the experiment section.