A review of data mining ontologies | Emerald Insight Books and journals Case studies Expert
Briefings Open Access Publish with us Advanced search A review of data mining ontologies …

The use of ontologies to model the knowledge of specific domains represents a key aspect
for the integration of information coming from different sources, for supporting collaboration …

Although ontologies occupy a central place in the Semantic Web and related research
domains, there are currently not many fully fledged ontology engineering methodologies …

Domain experts are skilled in buliding a narrow ontology that reflects their subfield of
expertise based on their work experience and personal beliefs. We call this type of ontology …

In crowdsourced cartographic projects, mappers coordinate their efforts through online tools
to produce digital geospatial artefacts, such as maps and gazetteers, which were once the …

Research in machine learning and data mining can be speeded up tremendously by moving
empirical research results out of people's heads and labs, onto the network and into tools …

Sundown of the twentieth century saw the emergence of the World Wide Web. A decade
later, semantic web (SW) envisioned enriching of web-accessible information and services …

Ontology‐based information publishing, retrieval, reuse, and integration have become
popular research topics to address the challenges involved in exchanging data between …

One of the most important tasks in the process of designing educational material for distance
learning is the representation and modeling of the cognitive domain to which the material …

Managing smart spaces with software requires the acquisition and processing of context
information about a space. To be usable for exchanging information, a context …