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

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.

► Overview of automatic methods for building domain models from text collections.
► Useful tool in information retrieval, the semantic web and language processing.
► Ubiquitous spread of domain model structures emerging in multi-disciplines.
► Outlines current research landscape and some techniques and approaches.
► Discuss trade-offs between different approaches and examine recent trends.