Enhancing knowledge accessibility in digital economy with search over enterprise data

Kargar M.

Personal and Ubiquitous Computing, vol.27, no.4, pp.1645-1652, 2023 (SCI-Expanded) identifier

  • Publication Type: Article / Article
  • Volume: 27 Issue: 4
  • Publication Date: 2023
  • Doi Number: 10.1007/s00779-022-01668-y
  • Journal Name: Personal and Ubiquitous Computing
  • Journal Indexes: Science Citation Index Expanded (SCI-EXPANDED), Scopus, Academic Search Premier, FRANCIS, Applied Science & Technology Source, Compendex, Computer & Applied Sciences, INSPEC
  • Page Numbers: pp.1645-1652
  • Keywords: Digital economy, Enterprise data, Knowledge accessibility, Personalized search, Structured data
  • TED University Affiliated: No


© 2022, The Author(s), under exclusive licence to Springer-Verlag London Ltd., part of Springer Nature.Google Search, and other search engines (e.g., Bing), provides a convenient way to find web pages that contain different keywords. Each web page is composed of loosely structured paragraphs of text. On the other hand, in the era of digital economy, a vast amount of enterprise data are stored as structured data (e.g., in relational databases). In a structured database, the information about a particular entity, or the relation between different entities might be scattered across many rows and columns in different tables. These pieces of information must be stitched together to form the final answer to a user’s query. For a large database, there might be millions of answers to a search query. Thus, finding the right answer is a challenging task. In this work, we present an intuitive search system over structured enterprise data. This search system empower non-technical users to explore structured data, turn hidden information into actionable insights, and enhance knowledge accessibility in digital economy.