Transforming the Data Transcription and Analysis Tool Metadata and Labels into a Linguistic Linked Open Data Cloud Resource

Developing language resources requires much time, funding and effort. This is why they need to be reused in new projects and developments, so that they may both serve a wider scientific community and sustain their cost. The main problems that prevent this from happening are that (1) language resources are rarely free and/or easy to locate; and (2) they are hardly ever interoperable. Therefore, the language resource community is now working to transform their most valuable assets into open and interoperable resources, which can then be shared and linked with other open and interoperable resources. This will allow data to be reanalyzed and re-purposed. In this paper, we present the first steps taken to transform a set of such resources, namely the Data Transcription and Analysis Tool’s (DTA) metadata and data, into an open and interoperable language resource. These first steps include the development of two ontologies that formalize the conceptual model underlying the DTA metadata and the labels used in the DTA to annotate both utterances and their transcriptions at several annotation levels.