Abstract / Description of output
This paper presents significant enhancements to the frances platform, incorporating the Heritage Textual Ontology (HTO), advanced knowledge graphs, and sophisticated search capabilities, along with innovative data visualization meth- ods. The HTO integrates diverse historical collections and unifies various sources. Leveraging this ontology, the new knowledge graphs connect data across different sources and editions, linking to external resources like Wikipedia and Dbpedia to enrich semantic relationships. We employed deep-learning-based spell correction for OCR error correction. Enhanced search func- tionalities, powered by Elasticsearch and semantic technologies, enable precise retrieval and analysis. Additionally, new data visualization approaches offer multifaceted interpretations of search results. A case study tracking slavery references in historical editions of the Encyclopaedia Britannica 1768-1860 demonstrates the platform’s effectiveness in analyzing historical text and validating frances’s capabilities.
| Original language | English |
|---|---|
| Number of pages | 10 |
| DOIs | |
| Publication status | Published - 23 Sept 2024 |
| Event | IEEE eScience 2024 - Senri Life Science Center , Osaka, Japan Duration: 16 Sept 2024 → 20 Sept 2024 https://www.escience-conference.org/2024/ |
Conference
| Conference | IEEE eScience 2024 |
|---|---|
| Abbreviated title | eScience 2024 |
| Country/Territory | Japan |
| City | Osaka |
| Period | 16/09/24 → 20/09/24 |
| Internet address |
Keywords / Materials (for Non-textual outputs)
- Heritage Textual Ontology
- Knowledge Graphs
- Historical Text Analysis
- Semantic Linkage
- OCR Error Correction
- ElasticSearch
- Temporal Data Analysis