Abstract: An enterprise-wide query relaxative support vector machine ranking algorithm approach provides enhanced functionality for query execution in a heterogeneous enterprise environment. Improved query results are obtained by adjusting ranking functions using machine learning methods to automatically train ranking functions. The improved query results are obtained using a list of document-query pairs that are modeled as a binary classification training problem, combination function which requires ranking and learning functions to be implemented representing document attributes and metadata utilizing query relaxation techniques and adjusted ranking functions. Machine learning methods implement user feedback to automatically train ranking functions.

Abstract: Search term ranking algorithms can be generated and updated based on customer settings, such as where a ranking algorithm is modeled as a combination function of different ranking factors. An end user of a search system provides personalized preferences for weighted attributes, generally or for a single instance of the query. The user also can indicate the relative importance of one or more ranking factors by specifying different weights to the factors. Ranking factors can specify document attributes, such as document title, document body, document page rank, etc. Based on the attribute weights and the received user query, a ranking algorithm function will produce the relevant value for each document corresponding to the user preferences and personalization configurations.

Abstract: Systems, methods, and other embodiments associated with identifying and selectively deleting duplicate search results are described. One example system embodiment includes logic to receive an identity indicator from a search logic. The identity indicator is associated with a search item that the search logic determines to be relevant to a search request. The example system may also include logic to determine whether the search result associated with the identity indicator is a duplicate result based on comparing the identity indicator to another identity indicator associated with another search result.

Abstract: Systems, methods, and other embodiments associated with automatically summarizing a document are described. One method embodiment includes computing term scores for members of a set of terms in a document to be summarized and computing sentence scores for sentences in a set of sentences in the document. The method embodiment also includes computing a set of entries for a term-sentence matrix that relates terms to sentences. The method embodiment also includes computing a dominant topic for the document and simultaneously ranking the set of terms and the set of sentences based on the dominant topic. The method embodiment provides a summarization item(s) selected from the set of terms and/or the set of sentences.

Abstract: Systems, methods, and other embodiments associated with extracting knowledge from application data and maintaining an ontology based on the extracted knowledge are described. One example system includes a mapping logic to store mappings between application objects and ontology classes and an information extraction (IE) logic that accesses the mapping logic to identify application data to process based on the mappings. The application data may be stored in application data repositories belonging to an enterprise and may be characterized by the application object. Having identified application data to process, the IE logic may locate data in the application data repositories and selectively manipulate an ontology based on selected application data elements.

Abstract: Systems, methods, media, and other embodiments associated with (non)contiguous n-gram based spell correction are described. One exemplary system embodiment includes logic for creating contiguous and non-contiguous trigrams, logic for creating an inverted index relating trigrams and the words from which they were generated, and logic for comparing trigrams associated with a word to spell check to trigrams associated with the words selected using the inverted index.

Abstract: Systems, methods, media, and other embodiments associated with ranking documents by providing a search engine with a series of sub-queries generated from an original query are described. One example system includes input logic for receiving a query. The example system may include a relaxation logic configured to produce sub-queries from the query. The sub-queries may describe metadata string matching, content string matching, and/or metadata numerical attribute analysis. The sub-queries may be provided by an output logic to a search engine in an order that facilitates defining document relevance without requiring post-retrieval relevance ranking.

Abstract: A flexible and extensible architecture allows for secure searching across an enterprise. Such an architecture can provide a simple Internet-like search experience to users searching secure content inside (and outside) the enterprise. The architecture allows for the crawling and searching of a variety or sources across an enterprise, regardless of whether any of these sources conform to a conventional user role model. The architecture further allows for security attributes to be submitted at query time, for example, in order to provide real-time secure access to enterprise resources. The user query also can be transformed to provide for dynamic querying that provides for a more current result list than can be obtained for static queries.

Abstract: A flexible and extensible architecture allows for secure searching across an enterprise. Such an architecture can provide a simple Internet-like search experience to users searching secure content inside (and outside) the enterprise. The architecture allows for the crawling and searching of a variety or sources across an enterprise, regardless of whether any of these sources conform to a conventional user role model. The architecture further allows for security attributes to be submitted at query time, for example, in order to provide real-time secure access to enterprise resources. The user query also can be transformed to provide for dynamic querying that provides for a more current result list than can be obtained for static queries.

Abstract: A flexible and extensible architecture allows for secure searching across an enterprise. Such an architecture can provide a simple Internet-like search experience to users searching secure content inside (and outside) the enterprise. The architecture allows for the crawling and searching of a variety or sources across an enterprise, regardless of whether any of these sources conform to a conventional user role model. The architecture further allows for security attributes to be submitted at query time, for example, in order to provide real-time secure access to enterprise resources. The user query also can be transformed to provide for dynamic querying that provides for a more current result list than can be obtained for static queries.

Abstract: Systems, methods, media, and other embodiments associated with word matching with context sensitive character to sound correlating are described. One exemplary method embodiment includes automatically generating context sensitive character to sound correlation rules, making the rules available to a query processing logic, converting words into sets of sounds using the rules, and storing a data entry linking the word and set of sounds in a data store searchable by the query processing logic.