The document describes a hybrid ontological network used for learning by analogy. The network contains over 1 million nodes and 639 million links of 64 different types extracted from multiple sources and statistical text processing. It provides redundant and highly interrelated information. The network is used in a question answering system to generate answers to questions. Through iterative training on question-answer pairs, the system induces rules that allow it to apply analogical reasoning to answer new questions by finding paths between terms in the network.