Towards a semantic discovery for heterogenous open data by interlinking metadata of datasets

초록

Open data refers to data that everyone can freely use, reuse and redistribute. A number of open data is released by various organisations, governments or communities. However, it is limited to discover datasets that users want, since most of data portals allow to search their datasets based on simple keywords using file names or descriptions, etc. This paper proposes a novel way for discovering disclosed government datasets by using linked data technologies. For achieving this objective, a set of datasets is collected from the public data portal in Korea, and all of data fields are extracted and transformed into linked data using an ontology model. We also provide a simple evaluation, which compares a search performance between the portal and the proposed method. © 2018 CEUR-WS. All rights reserved.

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