Semantics-Based Information Modeling for the Health-Care Administration Sector: The Citation Platform

Abstract

An information brokerage environment for effective information structuring, indexing, and retrieval in the health-care administration sector is presented. The system is based on ontology modeling, natural language processing, extensible markup language, semantics analysis, and behavioral description. Semantics-based information acquisition is achieved through the uniform modeling, representation, and handling of domain-specific knowledge, both content-based and procedural. The system has been validated using information located on several repositories in the web and its performance is reported in terms of precision and recall.

Extended probabilistic HAL with close temporal association for psychiatric query document retrieval

“…To address the problem, word relationship reasoning has been extensively investigated to infer semantically related words for effective retrieval. Generally, word relationships can be explored using ontology-based approaches [Abasolo and Gómez 2000;Leroy and Chen 2001;Liu et al 2004;Anagnostakis et al 2005;Lin and Demner-Fushman 2006], language models [Ponte and Croft 1998;Lafferty and Zhai 2001;Cao et al 2005;Nie et al 2006], and HAL-based models [Burgess et al 1998;Bruza 2001, 2003;Bai et al 2005;Azzopardi et al 2005]. These approaches have also been applied to different forms of medical texts, such as medical literature [Abasolo and Gómez 2000;Lin and Demner-Fushman 2006] and FAQ documents [Wu et al 2005b[Wu et al , 2006.…”