Time is a focal point for historical research. Although existing Linked Open Data (LOD) resources hold time entities, they are often limited to modern period and year-month precision at most. Therefore, researchers are currently unable to execute co-reference resolution through entity linking to integrate different datasets which contain information on the day level or remote past. This paper aims to build an RDF model and lookup service for historical time at the lowest granularity level of a single day at a specific point in time, for the duration of 6000 years. The project, Linked Open Date Entities (LODE), generates stable URIs for over 2.2 million entities, which include essential information and links to other LOD resources. The value of date entities is discussed in a couple of use cases with existing datasets. LODE facilitates improved access and connectivity to unlock the potential for the data integration in interdisciplinary research.

In cultural heritage, many projects execute Named Entity Linking (NEL) through global Linked Open Data (LOD) references in order to identify and disambiguate entities in their local datasets. It allows users to obtain extra information and contextualise the data with it. Thus, the aggregation and integration of heterogeneous LOD are expected. However, such development is still limited partly due to data quality issues. In addition, analysis on the LOD quality has not sufficiently been conducted for cultural heritage. Moreover, most research on data quality concentrates on ontology and corpus level observations. This paper examines the quality of the eleven major LOD sources used for NEL in cultural heritage with an emphasis on instance-level connectivity and graph traversals. Standardised linking properties are inspected for 100 instances/entities in order to create traversal route maps. Other properties are also assessed for quantity and quality. The outcomes suggest that the LOD is not fully interconnected and centrally condensed; the quantity and quality are unbalanced. Therefore, they cast doubt on the possibility of automatically identifying, accessing, and integrating known and unknown datasets. This implies the need for LOD improvement, as well as the NEL strategies to maximise the data integration.

This lesson introduces a way to populate a website with data obtained from another website via an Application Programming Interface (API). Using some simple programming, it provides strategies for customizing the presentation of that data, providing flexible and generalizable skills.