OntoHuman: Ontology-Based Information Extraction Tools with Human-in-the-Loop Interaction

Abstract

This paper presents OntoHuman, a toolchain for involving humans in a process of automatic information extraction and ontology enhancement. Document Semantic Annotation Tool (DSAT) [13], a user interface of OntoHuman, offers an automatic function to extract information in the form of key-value-unit tuples from PDF documents based on ontologies. Additionally, it allows users to provide feedback to improve the ontologies used. Although the information extraction can be improved with the ontology, our use cases were previously limited to an area of space engineering. OntoHuman now tackles this shortcoming by allowing users to upload their customized ontologies. This entends usages to various domains and enables this shareable knowledge to be used cooperatively. Then we display the ontologies in a node-link representation so they are easier to understand. Another major improvement in OntoHuman is the graph data points extraction, which is still missing in the existing information extraction tools. The application of OntoHuman can be used for documents related to any engineering domain and makes the work with ontologies intuitive and collaborative for users.