Semantic Web technologies and ontologies increasingly provide mission-critical capabilities for a variety of applications, not only in the Web, but also in industry projects to facilitate semantic integration and interoperability between heterogeneous systems. Due to this proliferation in the use of ontologies, technologies and tools have been developed to facilitate the ontology engineering process and ontology population, as a part of this process. As spreadsheets are
widely used to store and exchange data, academia and industry have developed a range of tools and mapping techniques to support the (semi-)automated translation of spreadsheet data into OWL/RDF. Existing tools vary in many aspects, therefore it can be di cult to select tool that ts best for a speci c usage context. In this paper we analyzed several types of end users, which could be interested to apply such tools in their work ow, and their speci c needs. Based on
this analysis we propose an evaluation framework that could facilitate tools comparison; and c) search for an appropriate tool for a speci c task/problem. In order to validate the proposed evaluation framework, a qualitative analysis of a set of six tools for ontology population has been performed.