A Peek in the Future: OpenMinTeD’s possibilities for Scholarly Communication

notebook-1071774_960_720 OpenMinTeD aspires to create infrastructure that fosters and facilitates the use of text and data mining technologies in the scientific publications world. But what does this mean in practice? Take a look in the future with us, and discover some examples of what OpenMinTeD will make possible for scholarly communication!

Semantic search and discovery of open scientific outcomes

The amount of scientific publications in repositories is growing and growing. To find a publication relevant to a search implies that this publication has been sufficiently well characterised, indexed and classified such that relevance to a search query can be ascertained. Conventional information retrieval technology, while very good at handling large-scale collections, remains at a rough granular level. Moreover, such technology typically focuses on finding sets of individual publications, leaving it up to the user to somehow integrate and synthesise the knowledge contained in and across individual publications. The content of documents is largely lost in conventional indexing approaches, which are heavily reductionist in nature.

OpenMinTeD’s MetaData Possibilities

OpenMinTeD will be used to allow content (publishers and repositories) and service providers (OpenAIRE, CORE, Europe PMC) in using text-mining services to incorporate semantic metadata extraction mechanisms and provide semantic search mechanisms.

Research monitoring and analytics

Research is one of the key enablers in innovation and its analysis is an increasingly important area for funders and institutions alike. Text mining of scientific topics is able to address research topics shifts over time, to discover and compare hidden research trends and to model time-evolving networks, groups and communities. It captures all possible structuring effects of networks revealing longer term structures and providing information about their creation and strength over the years. When TDM mechanisms are applied to research outcomes from many European funders and institutions, then research analytics can conceivably create comparative analyses that will cover the whole European Research Area.

OpenMinTeD’s TDM Possibilities

OpenMinTeD will be used to publish innovative services for topic modelling, and will potentially be used by a wider range of stakeholders. These innovative services will be enriched through OpenMinTeD with language detection and NLP mechanisms.