Automated information retrieval in science and technology

Area of Science:

• Computer Science
• Information Science
• Scientific Communication

Background:

• The 1970s saw rapid advancements in computer and communication technology.
• These advancements facilitated the development of large-scale interactive scientific and technical information retrieval systems.
• Current systems offer extensive online access to bibliographic data and electronic handbooks, with ongoing development of knowledge bases.

Observation:

• Major search services now provide online access to millions of bibliographic citations.
• The availability of "electronic handbooks" and the development of knowledge bases are increasing.
• Interactive retrieval systems offer impressive speed and flexibility.

Findings:

• The impact of these advanced systems is currently limited.
• Key limitations include low user awareness, inconsistent retrieval quality, and poor database linkages.
• Reliance on specially trained intermediaries also restricts broader adoption.

Implications:

• There is a need to improve user education and system accessibility.
• Enhancing data integration and standardizing retrieval quality are crucial for maximizing the utility of these systems.
• Future development should focus on user-friendly interfaces to reduce reliance on intermediaries.