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Updated: Feb 15, 2026

Watershed Planning within a Quantitative Scenario Analysis Framework

Watershed Planning within a Quantitative Scenario Analysis Framework

Published on: July 24, 2016

TogoTable: cross-database annotation system using the Resource Description Framework (RDF) data model.

Shin Kawano¹, Tsutomu Watanabe², Sohei Mizuguchi³

¹Database Center for Life Science, Research Organization of Information and Systems, 178-4-4 Wakashiba, Kashiwa, Chiba 277-0871, Japan kawano@dbcls.rois.ac.jp.

Nucleic Acids Research

|May 16, 2014

Summary

This summary is machine-generated.

TogoTable is a web tool that enhances biological data tables with annotations from linked open data. This tool aids researchers in processing large datasets by integrating information from diverse biological databases.

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Area of Science:

Bioinformatics
Data Integration
Web Services

Background:

Biological research generates vast datasets requiring efficient data processing.
Integrating data from multiple biological databases is crucial for comprehensive analysis.
Existing tools may lack the flexibility to incorporate diverse, linked data sources.

Purpose of the Study:

To introduce TogoTable, a novel web tool for annotating uploaded data tables.
To leverage Linked Open Data (LOD) principles for enhanced data integration.
To provide a user-friendly platform for experimental biologists handling large-scale data.

Main Methods:

Developed a web tool (TogoTable) accepting user-uploaded tables.
Utilized Resource Description Framework (RDF) data model for annotations.
Employed SPARQL queries to retrieve data from SPARQL endpoints within the LOD network.
Used database identifiers (IDs) as keys for searching and linking annotations.

Main Results:

TogoTable successfully annotates user-uploaded tables with data from multiple biological databases.
The tool integrates annotations not only from reference databases but also from externally linked databases via LOD.
Demonstrated retrieval of Protein Data Bank annotations using GeneID via UniProt RDF.
The system is extensible to any RDF-based database.

Conclusions:

TogoTable offers a powerful solution for annotating and integrating biological data.
The tool facilitates the processing of large experimental outputs for biologists.
Its foundation on RDF and LOD ensures broad compatibility and future extensibility.