Automatically structuring domain knowledge from text: An overview of current research

Malcolm Clark, Yunhyong Kim, Udo Kruschwitz, Dawei Song, Dyaa Albakour, Stephen Dignum, Ulises Cerviño Beresi, Maria Fasli, Anne De Roeck

Research output: Contribution to journalArticlepeer-review

37 Citations (Scopus)


This paper presents an overview of automatic methods for building domain knowledge structures (domain models) from text collections. Applications of domain models have a long history within knowledge engineering and artificial intelligence. In the last couple of decades they have surfaced noticeably as a useful tool within natural language processing, information retrieval and semantic web technology. Inspired by the ubiquitous propagation of domain model structures that are emerging in several research disciplines, we give an overview of the current research landscape and some techniques and approaches. We will also discuss trade-offs between different approaches and point to some recent trends.
Original languageEnglish
Pages (from-to)552-568
Number of pages17
JournalInformation Processing & Management
Issue number3
Early online date3 Aug 2011
Publication statusPublished - May 2012


  • Domain models
  • Information retrieval
  • Natural language processing
  • Artificial intelligence


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