The meaningful integration and comprehen-sion of data from many different sources poses a difficult challenge for the Intelligence Com-munity. Establishing the underlying semantics of that data and developing semantics for new or specialized scenarios is a key part of the so-lution to that challenge. The emerging Seman-tic Web technologies address this challenge by developing an 'open network' of formally de-scribed concepts, in which the publication of a formal ontology allows other users to re-use concepts when describing new knowledge. This vision requires that the tasks of knowl-edge entry and review are conducted in an en-vironment providing direct, intuitive access to the formally defined meanings of existing concepts, and tools to determine relationships between concepts which may have been com-posed in isolation from each other. We outline this vision and describe an initial implementa-tion of a software suite, Collaborative Ontol-ogy Environment (COE), which uses concept mapping and cluster analysis to provide an on-tology composition, comprehension, and reuse framework.