This research addresses incentive principles that drive information sharing and affect database value. Many real world centralization and standardization efforts have failed, typically because departments lacked incentives or needed greater local autonomy. While intangible factors such as...

Data quality is crucial for operational efficiency and sound decision making. This paper focuses on believability, a major aspect of quality, measured along three dimensions: trustworthiness, reasonableness, and temporality. We ground ourapproach on provenance, i.e. the origin and subsequent...

Data quality is crucial for operational efficiency and sound decision making. This paper focuses on believability, a major aspect of data quality. The issue of believability is particularly relevant in the context of Web 2.0, where mashups facilitate the combination of data from different...

As an open standard for electronic communication of business and financial data, XBRL has the potential of improving the efficiency of the business data supply chain. A number of jurisdictions have developed different XBRL taxonomies as their data standards. Semantic heterogeneity exists in...

This paper examines the development of web aggregators, entities that collect information from a wide range of sources, with or without prior arrangements, and add value through post-aggregation services. New Web-page extraction tools, context sensitive mediators, and agent technologies have...

The convergence of three distinct but interconnected trends - unrelenting globalization, growing worldwide electronic connectivity, and increasing knowledge intensity of economic activity - is creating powerful new opportunities and challenges for global politics. This rapidly changing...

We examine a knowledge representation architecture to support context interchange mediation. For autonomous receivers and sources sharing a common subject domain, the mediator's reasoning engine can devise query plans integrating multiple sources and resolving semantic heterogeneity. Receiver...

We use a context interchange mediation approach for detecting and resolving data quality and semantic integrity conflicts in information exchanged across organizational boundaries. Context models draw on a domain ontology to explain how source and receiver data models implement general...

Source selection allows the users to express what they want while the system automatically performs the identification and selection of relevant sources to answer the query request. To automate that process, the system must be able to represent the contents of data sources in a description...