Aquila

An Interactive Web-based Toolset for Knowledge Discovery from Short Text Log Data

Aquila is an interactive web-based toolset that supports text mining from unstructured data. It features a customizable web-based user interface for data visualization and exploration which does not require any programming experience to use. The software system comprises five distinct stages: exploratory analysis, data warehousing, association rule mining, entity clustering and predictive analysis.

Echidna

A Knowledge Graph for Maintenance

This tool offers maintainers and reliability engineers a completely novel and powerful way to analyse their work orders. While it is still a work in progress, in its current state it allows users to filter and query work orders by using knowledge captured within both the work order text and the structured fields (e.g. "Date" and "Functional location description").

Lexiclean

An annotation tool for rapid multi-task annotation of noisy corpora for the task of lexical normalisation

LexiClean is a web-based single-user annotation tool for rapid annotation of noisy corpora. Key features of LexiClean include simultaneous token-level modification and annotation that can be rapidly applied corpus wide, and support for very large annotation projects.

QuickGraph

A collaborative annotation tool for rapid multi-task information extraction for knowledge graph construction.

QuickGraph is a web-based annotation tool for collaborative multi-task information extraction. Key features of QuickGraph are its support for complex entity and relation annotation tasks, and its novel use of semantic clustering and real-time annotation graph construction that aid annotator efficiency and consistency.

Redcoat

A Collaborative Annotation Tool for Hierarchical Entity Typing

Redcoat is a web-based annotation tool that supports collaborative hierarchical entity typing. As an annotation tool, Redcoat also facilitates knowledge elicitation by allowing the creation and continuous refinement of concept hierarchies during annotation.

Text2KG

An Automated Text to Knowledge Graph System

Text2kg is a system for converting raw text into a knowledge graph via an NLP pipeline. Our system uses a pipeline-based approach to extract a set of triples from a given document. It offers a simple and effective solution to the challenge of knowledge graph construction from domain-specific text. Text2kg was our entry to the ICDM 2019 Knowledge Graph Contest, where we won first prize.