OpenMinTeD aspires to enable the creation of an infrastructure that fosters and facilitates the use of text and data mining technologies in the scientific publications world and beyond, by both application domain users and text-mining experts.
OpenMinTeD builds upon existing tools and text mining platforms, rendering them discoverable, through appropriate registries, and interoperable, through an existing standards-based interoperability layer.
Τext mining constitutes a powerful tool for harnessing the power of data and discovery of its value, through analyzing structured and unstructured datasets and content on multiple levels and in many different dimensions, in order to discover concepts and entities.
OpenMinTeD supports awareness of the benefits and training of text mining users and developers alike, and demonstrates the merits of the approach through a number of use cases identified by scholars and experts from different scientific areas, ranging from life sciences (bioinformatics, biochemistry, etc.) to food and agriculture and social sciences and humanities related literature.