IREENE adds significant capability to product knowledge management in modern manufacturing enterprises. Topic modelling and semantic representation of existing documents’ knowledge graphs might minimise the time necessary for the manual processing of essential documentation by individuals involved in product management across several organisational verticals. It has already achieved great success in offering insights for product management, including but not limited to operations, compliance, R&D, and intellectual property rights.
Every manufacturing organisation must deal with a substantial volume of external documents. Intellectual property and fundamental standard compliance must be studied and analysed before development. Every day, patents (including Standard Essential Patents), technological standards, and scientific papers are searched across all sectors.
However, the amount of relevant textual materials available is huge. Over 3.4 million patent applications were filed globally in 2021, with the number growing by 5-9% each year since 2011. In addition, the average word count in patent applications has increased throughout the 1990s, surpassing 7,000 in 2007. An average reader would need 200 years to read (nonstop) 3.4 million patent applications without titles, abstracts, or references.
A quick glance at the most prominent standards bodies demonstrates the breadth of accessible sources. There are 22,538 ISO standards, for example, and over 1,300 IEEE standards. With the rising digitisation of the sector and current technical advancement, we anticipate that numbers will rise. Over 50 million scientific articles have been published by 2010, and the overall quantity of scholarly papers is doubling every nine years.
Patent information is used in a variety of contemporary organisations, including strategic management as a foundation for competitive environment monitoring, technology assessment, or even R&I portfolio management, design and engineering, to name state-of-the-art research, and legal when functionality, design, and implementation technique are studied in the context of the so-called “Freedom to Operate” analysis to determine whether the development and marketing of a product is permissible.
IREENE (Information Retrieval Engine) is a solution to this need of providing methods of processing unstructured text documents in order to create a knowledge graph representing the contents of available sources.