Skip to end of metadata
Go to start of metadata

Finding Within-Organisation Spatial Information on the Web

 Hou, Jun, Schulz, Ruth, Wyeth, Gordon, & Nayak, Richi (2015) Finding Within-Organisation Spatial Information on the Web. In 28th Australasian Joint Conference on Artificial Intelligence 2015, 2-4 December 2015, Canberra, ACT.

Information available on company websites can help people navigate to the offices of groups and individuals within the company. Automatically retrieving this within-organisation spatial information is a challenging AI problem This paper introduces a novel unsupervised pattern-based method to extract within-organisation spatial information by taking advantage of HTML structure patterns, together with a novel Conditional Random Fields (CRF) based method to identify different categories of within-organisation spatial information. The results show that the proposed method can achieve a high performance in terms of F-Score, indicating that this purely syntactic method based on web search and an analysis of HTML structure is well-suited for retrieving within-organisation spatial information.

Overview of the locating within-organisation spatial information methodology:

  • No labels