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The incompatibilities among complex data formats and various schema used by biological databases that house these data are becoming a bottleneck in biological research. For example, biological data format varies from simple words (e.g. gene name), numbers (e.g. molecular weight) to sequence strings (e.g. nucleic acid sequence), to even more complex data formats such as taxonomy trees. Some information is embedded in narrative text, such as expert comments and publications. Some other information is expressed as graphs or images (e.g. pathways networks). The confederation of heterogeneous web databases has become a crucial issue in today's biological research. In other words, interoperability has to be archieved among the biological web databases and the heterogeneity of the web databases has to be resolved. This paper presents a biological ontology, BAO, and discusses its advantages in supporting the semantic integration of biological web databases are discussed.

This short paper traces some convergences between the ontologies of mind and AI presented in Carlos Montemayor’s Precis for The Prospect of Humanitarian Artificial Intelligence and Enactivism, with a focus on autonomy, embeddedness, perspective, and social interaction. I argue that it is surprising that Montemayor does not engage with any of the traditional 4e ontologies here, especially enactivism, considering his strong reliance on biology and autonomy in carving up intelligence and consciousness.