Showing papers by "Shigeo Sugimoto published in 2020"

Wikidata Centric Vocabularies and URIs for Linking Data in Semantic Web Driven Digital Curation

Abstract: Wikidata is evolving as the hub of Linked Open Data (LOD), with its language-neutral URIs and close adherence to Wikipedia. Well defined URIs help the data to be interoperable and linkable. This paper examines the possibilities of utilizing Wikidata as the means of a vocabulary resource for promoting the use of linkable concepts. Digital curation projects are vibrant with varying demands and purposes, which makes them less suitable for adopting any common vocabularies or ontologies. Also, developing and maintaining custom vocabularies are expensive processes for smaller projects in terms of resources and skill requirements. In general, Wikidata entities are well documented with Wikipedia entries, and Wikipedia entries express the conceptual and hierarchical relations in detail with provisions to modify or create. The authors explain the concept of using Wikidata as a vocabulary source with a proof of concept module implementation for Omeka-S, a widely adapted open source digital curation platform. This paper is expected to show some practical insights on reliable an reasonable vocabulary development for social informatics as well as cultural heritage projects, with a notion to improve the quality and quantity of linkable data from digital curation projects.

Yet Another Metadata Application Profile (YAMA): Authoring, Versioning and Publishing of Application Profiles

Abstract: Metadata Application Profiles are the elementary blueprints of any Metadata Instance. Efforts like the Singapore Framework for Dublin Core Application Profiles define the framework for designing metadata application profiles to ensure interoperability and reusability. However, the number of publicly accessible, especially machine actionable application profiles are significantly lower. Domain experts find it difficult to create application profiles, considering the technical aspects, costs and disproportionate incentives. Lack of easy-to-use tools for Metadata Application Profile creation is also a reason for lack of larger reach. This paper proposes Yet Another Metadata Application Profile (YAMA) as a user-friendly interoperable preprocessor for creating, maintaining and publishing Metadata Application Profiles. YAMA helps to produce various formats and standards to express the Metadata Application Profiles, changelogs, and different versions, with an expectation of simplifying Metadata Application Profile creation process for domain experts. YAMA includes an integrated syntax for recording application profiles as well as changes between different versions. A proof of concept toolkit, demonstrating the capabilities of YAMA is also being developed. YAMA boasts a human readable yet machine actionable syntax and format, which is seamlessly adaptable to modern version control workflows and expandable for any specific requirements.

Semantic Web Oriented Approaches for Smaller Communities in Publishing Findable Datasets

Abstract: Publishing findable datasets is a crucial step in data interoperability and reusability. Initiatives like Google data search and semantic web standards like Data Catalog Vocabulary (DCAT) and Schema.org provide mechanisms to expose datasets on the web and make them findable. Apart from these standards, it is also essential to optionally explain the datasets, both its structure and applications. Metadata application profiles are a suitable mechanism to ensure interoperability and improve use-cases for datasets. Standards and attempts, including the Profiles (PROF) and VoID vocabularies, as well as frameworks like Dublin core application profiles (DCAP), provide a better understanding of developing and publishing metadata application profiles. The major challenge for domain experts, especially smaller communities intending to publish findable data on the web, is the complexities in understanding and conforming to such standards. Mostly, these features are provided by complex data repository systems, which is not always a sustainable choice for various small groups and communities looking for self-publishing their datasets. This paper attempts to utilize these standards in self-publishing findable datasets through customizing minimal static web publishing tools and demonstrating the possibilities to encourage smaller communities to adopt cost-effective and simple dataset publishing. The authors express this idea though this work-in-progress paper with the notion that such simple tools will help small communities to publish findable datasets and thus, gain more reach and acceptance for their data. From the perspective of the semantic web, such tools will improve the number of linkable datasets as well as promote the fundamental concepts of the decentralized web.