Abstract: Methods and systems are described that involve recognizing complex entities from text documents with the help of structured data and Natural Language Processing (NLP) techniques. In one embodiment, the method includes receiving a document as input from a set of documents, wherein the document contains text or unstructured data. The method also includes identifying a plurality of text segments from the document via a set of tagging techniques. Further, the method includes matching the identified plurality of text segments against attributes of a set of predefined entities. Lastly, a best matching predefined entity is selected for each text segment from the plurality of text segments. In one embodiment, the system includes a set of documents, each document containing text or unstructured data. The system also includes a database storage unit that stores a set of predefined entities, wherein each entity contains a set of attributes.

Abstract: Embodiments of the present invention include a computer-implemented method of extracting information. In one embodiment, the present invention comprises defining a plurality of reusable operators, wherein each operator performs a predefined information extraction task different from the other operators. Composite annotators may be created by specifying a composition of the reusable operators. Each operator may receive a searchable item, such as a web page or an annotation, and may generate one or more output annotations. The output annotations may be further processed by other reusable operators and the annotations may be stored in a repository for use during a search.

Abstract: Exemplary embodiments of the present invention relate to a method for searching navigational pages within an intranet environment. The method comprises identifying a plurality of navigational pages, performing a page-level analysis upon each identified navigational page in order to determine if a navigational page can be categorized as a candidate navigational page, performing a cross-page analysis upon each determined candidate navigational page in order to generate a final set of navigational pages, associating each final navigational page with a predetermined semantic classification group, generating term variants for each navigational page, building a navigational index for each semantic classification grouping, and filtering user queries in association with a user profile of a user that is posing a query.

Abstract: Embodiments of the present invention include a computer-implemented method of extracting information. In one embodiment, the present invention comprises defining a plurality of reusable operators, wherein each operator performs a predefined information extraction task different from the other operators. Composite annotators may be created by specifying a composition of the reusable operators. Each operator may receive a searchable item, such as a web page or an annotation, and may generate one or more output annotations. The output annotations may be further processed by other reusable operators and the annotations may be stored in a repository for use during a search.