Information extraction

The techniques and methods used for eliciting and extracting information from unstructured or semi-structured digital documents and sources.

knowledge

sector-specific

Information extraction is an essential knowledge of the following occupations:

Data scientist: Data scientists find and interpret rich data sources, manage large amounts of data, merge data sources, ensure consistency of data-sets, and create visualisations to aid in understanding data. They build mathematical models using data, present and communicate data insights and findings to specialists and scientists in their team and if required, to a non-expert audience, and recommend ways to apply the data.
ICT information and knowledge manager: ICT information and knowledge managers contribute to the definition of organisational information strategy and apply information and knowledge creation, editing, storage, and distribution policies. They manage the maintenance and evolution of structured and unstructured information. They create digital structures to enable exploitation and optimisation of information and knowledge, manage data analysis and enable business intelligence.
Knowledge engineer: Knowledge engineers integrate structured knowledge into computer systems (knowledge bases) in order to solve complex problems normally requiring a high level of human expertise or artificial intelligence methods. They are also responsible for eliciting or extracting knowledge from information sources, maintaining this knowledge, and making it available to the organisation or users. To achieve this, they are aware of knowledge representation and maintenance techniques (rules, frames, semantic nets, ontologies) and use knowledge extraction techniques and tools. They can design and build expert or artificial intelligence systems that use this knowledge.
Data analyst: Data analysts import, inspect, clean, transform, validate, model, or interpret collections of data with regard to the business goals of the company. They ensure that the data sources and repositories provide consistent and reliable data. Data analysts use different algorithms and IT tools as demanded by the situation and the current data. They might prepare reports in the form of visualisations such as graphs, charts, and dashboards.

Information extraction is optional for these occupations. This means knowing this knowledge may be an asset for career advancement if you are in one of these occupations.

ICT intelligent systems designer: ICT intelligent systems designers apply methods of artificial intelligence in engineering, robotics and computer science to design programs which simulate intelligence including thinking models, cognitive and knowledge-based systems, problem solving, and decision making. They also integrate structured knowledge into computer systems (ontologies, knowledge bases) in order to solve complex problems normally requiring a high level of human expertise or artificial intelligence methods.
ICT business analysis manager: ICT business analysis managers identify areas where information system changes are needed to support business plans and monitor the impact in terms of change management. They contribute to the general ICT functional requirements of the business organisation. ICT business analysis managers analyse business needs and translate them into ICT solutions.
ICT business development manager: ICT business development managers increase business opportunities for the organisation and develop strategies that will enhance the smooth running of the organisation, product development and product distribution. They negotiate prices and establish contract terms.
ICT research consultant: ICT research consultants perform targeted ICT research and provide a final report to the client. They also use ICT tools to design questionnaires for surveys, analyse the results, write reports, present the results and make recommendations based on the research findings.
ICT research manager: ICT research managers plan, manage and monitor research activities and evaluate emerging trends in the information and communication technology field to assess their relevance. They also design and oversee staff training on the use of new technology and recommend ways to implement new products and solutions that will maximise benefits for the organisation.
Chief data officer: Chief data officers manage companies’ enterprise-wide data administration and data mining functions. They ensure data are used as a strategic business asset at the executive level and implement and support a more collaborative and aligned information management infrastructure for the benefit of the organisation at large.
Computer scientist: Computer scientists conduct research in computer and information science, directed toward greater knowledge and understanding of fundamental aspects of ICT phenomena. They write research reports and proposals. Computer scientists also invent and design new approaches to computing technology, find innovative uses for existing technology and studies and solve complex problems in computing.
ICT business analyst: ICT business analysts are in charge of analysing and designing an organisation’s processes and systems, assessing the business model and its integration with technology. They also identify change needs, assess the impact of the change, capture and document requirements and then ensure that these requirements are delivered whilst supporting the business through the implementation process.

References

1. Information extraction – ESCO