The Internet and other open connectivity environments create a strong demand for the sharing of data semantics. Emerging ontologies are increasingly becoming essential for computer science applications. Organizations are looking towards them as vital machine-processable semantics for many...

Collective Knowledge Systems are information systems that utilize the knowledge made available through Social Media by using Semantic Web technology. The current state of the Social Web, comprising all the content made available through regular user participation, can best be described as...

Place-names make up a significant part of the onomastic lexical fund. Historically developed toponymic systems are usually heterogeneous and combine multi-language material, formed in the toponymy in different historical epochs. This article reflects the results of the analysis of structural and...

The ever increasing internet bandwidth and the fast changing needs of businesses for effectiveness and integration within and with the partners and the distributed/mobile employee force is leading organizations to adopt information systems infrastructures that are cost effective as well as...

Technology is becoming deeply interwoven into the fabric of society. The Internet has become a central source of information for many people when making day-to-day decisions. Here, we present a method to mine the vast data Internet users create when searching for information online, to identify...

This paper describes the coupling of contexts and ontologies for semantic integration in the ECOIN semantic interoperability framework. Ontological terms in ECOIN correspond to multiple related meanings in different contexts. Each ontology includes a context model that describes how a generic...

There is pressing need for effectively integrating information from an ever increasing number of available sources both on the web and in other existing systems. A key difficulty of achieving this goal comes from the pervasive heterogeneities in all levels of information systems. Existing and...

We use income survey data linked with tax records at the individual level for Estonia to estimate the determinants and extent of income tax compliance in a novel way. Unlike earlier studies attributing income discrepancies between such data sources either to tax evasion or survey measurement...

We examine the consequences of underreporting of transfer programs in household survey data for several prototypical analyses of low-income populations. We focus on the Current Population Survey (CPS), the source of official poverty and inequality statistics, but provide evidence that our...