A collaborative methodology for developing a semantic model for interlinking Cancer Chemoprevention linked-data sources

摘要: This paper proposes a collaborative methodology for developing semantic data models. The proposed the model development follows “meet-in-the-middle” approach. On one hand, concepts emerged in bottom-up fashion from analyzing domain and interviewing experts regarding their needs. other it followed top-down approach whereby existing ontologies, vocabularies models were analyzed integrated with model. identified elements then fed to multiphase abstraction exercise order get of derived is also evaluated validated by experts. applied on creation Cancer Chemoprevention that formally defines fundamental entities used annotating describing inter-connected cancer chemoprevention related knowledge resources Web. meant offer single point reference biomedical researchers search, retrieve annotate linked web resources. covers four areas Chemoprevention: i literature refer chemoprevention, ii facts relevant prevention, iii collections experimental data, procedures protocols iv facilitate representation results virtual screening chemopreventive agents.