Overview
Unstructured data in the form of text, image and video constitute the majority of available big data that is predominant in every domain. This leads to an ocean of textual information written in
different ways by different persons at different points in time. MIMOS Mi-Harmony is a software tool that harmonises unstructured textual information to enable accurate information retrieval for consistent reporting and analytics.
MIMOS Mi-Harmony is an automated data harmonisation tool based on semantic technology that utilises different terminologies
to combine textual data from different sources such as databases and documents into integrated, consistent and unambiguous data.
This forms an accurate and reliable data source enabling business intelligence, semantic analytics and accurate reporting. Mi-Harmony utilises natural language processing (NLP) and cognitive computing techniques to harmonise textual data.
Technology Summary
Mi-Harmony
An automated tool that integrates different terminologies to harmonise textual data from different sources.
Industries: Government, Healthcare, Public Safety, Agriculture
Features
Mi-Harmony addresses the challenges of unstructured data through:
- Multi-format terminology ingestion
- Terminology-based identification
- Context-based relevance filtering
- Implicit relationship discovery
- Semantic analysis of meanings
Technology Benefits
- Diverse data ingestion
- Coherent data for analytics
- Precision analytics and reporting
Mi-Harmony comprises the following features:
Features
Mi-Harmony comprises the following features:
- Multi-Format Terminology Ingestion
Mi-Harmony is capable to ingest terminologies described in different formats such as clinical health information (SNOMED CT). - Terminology-Based Identification
An array of NLP techniques harmonise textual data with standard terminologies to enhance computational linguistics. - Context-Based Relevance Filtering
An array of cognitive computing techniques amplify data relevancy by providing reasoning on textual content and context understanding of harmonised concepts. - Implicit Relationship Discovery
A combination of NLP and heuristic-based techniques discovers unexpressed and inferred relationships between harmonised concepts.
Semantic Analysis of Meanings
Mi-Harmony provides support for detailed analysis and semantic expansion of queries for accurate query results based on the meaning of concepts rather than keywords.
Technology Benefits
The main impacts of Mi-Harmony are:
- Diverse Data Ingestion
Mi-Harmony ingests terminologies in various formats from heterogeneous sources into an integrated system. - Coherent Data for Analytics
Coherent data is produced for further analytics by harmonising textual data using standard terminologies and reasoning. - Precision Analytics and Reporting
Mi-Harmony supports semantic analytics on the harmonised data, leading to more accurate analytics and consistent reporting.
