Abstract: A text annotation structured storage system stores text annotations with associated type information in a structured data store. The present system persists or stores annotations in a structured data store in an indexable and queryable format. Exemplary structured data stores comprise XML databases and relational databases. The system exploits type information in a type system to develop corresponding schemas in a structured data model. The system comprises techniques for mapping annotations to an XML data model and a relational data model. The system captures various features of the type system, such as complex types and inheritance, in the schema for the persistent store. In particular, the repository provides support for path navigation over the hierarchical type system starting at any type.

Abstract: The World Wide Web (WWW) can be modelled as a labelled directed graph G(V,E,L), in which V is the set of nodes, E is the set of edges, and L is a label function that maps edges to labels. This model, when applied to the WWW, indicates that V is a set of hypertext documents or objects, E is a set of hyperlinks connecting the documents in V, and the edge-label function represents the anchor-text corresponding to the hyperlinks. One can find a probabilistic ranking of the nodes for any given label, a ranking of the labels for any given node, and rankings of labels and pages using flow based models. Further, the flows can be computing using sparse matrix operations.

Abstract: Opinions about a topic are extracted from a corpus of text documents. Opinions are extracted based on rules defining regular expressions for parts-of-speech tags. Opinions are grouped based on their semantic orientation as favourable, unfavourable or neutral. A balanced and accurate assessment of sentiment towards a topic can thus be determined.