| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 517253 | Journal of Biomedical Informatics | 2013 | 14 Pages |
Human musculoskeletal system resources of the human body are valuable for the learning and medical purposes. Internet-based information from conventional search engines such as Google or Yahoo cannot response to the need of useful, accurate, reliable and good-quality human musculoskeletal resources related to medical processes, pathological knowledge and practical expertise. In this present work, an advanced knowledge-based personalized search engine was developed. Our search engine was based on a client–server multi-layer multi-agent architecture and the principle of semantic web services to acquire dynamically accurate and reliable HMSR information by a semantic processing and visualization approach. A security-enhanced mechanism was applied to protect the medical information. A multi-agent crawler was implemented to develop a content-based database of HMSR information. A new semantic-based PageRank score with related mathematical formulas were also defined and implemented. As the results, semantic web service descriptions were presented in OWL, WSDL and OWL-S formats. Operational scenarios with related web-based interfaces for personal computers and mobile devices were presented and analyzed. Functional comparison between our knowledge-based search engine, a conventional search engine and a semantic search engine showed the originality and the robustness of our knowledge-based personalized search engine. In fact, our knowledge-based personalized search engine allows different users such as orthopedic patient and experts or healthcare system managers or medical students to access remotely into useful, accurate, reliable and good-quality HMSR information for their learning and medical purposes.
Graphical abstractFigure optionsDownload full-size imageDownload high-quality image (196 K)Download as PowerPoint slideHighlights► First knowledge-based personalized search engine in the Biomechanics field. ► Innovative semantic web services for a knowledge-based personalized search engine. ► Security-enhanced mechanism for a search engine. ► Content-based database of the web-based human musculoskeletal system resources. ► New semantic PageRank score for ordering the Internet-based website models.
