A large collection of texts may be reached through the Internet and this provides a powerful platform from which common-sense knowledge may be gathered. This paper presents a system that contains a core knowledge base structured around WordNet, a lexical database, capable of extracting contextual information from a given input text. Such context information is then used to retrieve other texts from the Internet that relate to that context. When processed by the system, these new texts bring more information that represents an enhanced domain context for the initial text. This is an incremental method for text processing that acquires domain knowledge from other texts. The paper describes the system architecture, its core knowledge base and inference engine, and the acquisition of new knowledge from corpora.