Patent ID: 8200671

Claim:
A computer-implemented method for determining a co-occurrence for a domain corpus comprising: accessing, using a processor, a domain corpus comprising a plurality of articles, each article corresponding to a particular topic, each article comprising one or more terms that link to one or more other articles corresponding to one or more other topics; designating, using the processor, each topic as a term of a dictionary; defining, using the processor, a co-occurrence context for the domain corpus as a co-occurrence context of an article, wherein defining the co-occurrence context of the article is performed according to a predefined minimum number of terms of a co-occurrence context and a predefined maximum number of terms of a co-occurrence context, wherein: (a) responsive to determining that the article has no sections, the co-occurrence context of the article is defined as the article; (b) responsive to determining that the article has sections and responsive to determining that the number of terms of a section of the sections are above the predefined minimum number of terms, then the section is defined as the co-occurrence context of the article; (c) responsive to determining that the article has sections and responsive to determining that the number of terms of a section of the sections are below the predefined minimum number of terms, then the section is merged into a single co-occurrence context with a subsequent or previous section of the article, and the co-occurrence context of the article is defined as the single co-occurrence context; (d) responsive to determining that the number of terms in a section of the article is above the predefined maximum number of terms, subsections of the section are tested according to the predefined minimum number of terms, wherein the testing comprises performing steps (b) and (c) on each subsection; and determining, using the processor, a plurality of co-occurrences among the terms according to the co-occurrence context of the article.