Abstract: Provided is a method for processing queries in a database in which data records have a parametric object and an extension of a nonparametric data type. A query includes a parametric condition for the parametric object of the data records and a nonparametric condition for the nonparametric extension of the data records. Parametric information of each data record is translated into constructs of the data type of the extension. A parametric result set of data records for the parametric condition is generated. The parametric condition of said query is translated into a filter condition for said constructs of the data type of the extension. The nonparametric condition of said query and said filter condition are employed to generate a nonparametric result set. The parametric result set and the nonparametric result set are joined to obtain a result set.

Abstract: A method and system for improving text searching is disclosed. The method and system provides a network of document relationship and utilizes the network of document relationships to identify the region of documents that can be used to satisfy a user's request. In a preferred embodiment, the text searching method in accordance with the present invention augments a conventional text search by using information on document relationships and metadata. The text searching method and system improves upon conventional text search techniques by incorporating relationship metadata to define regions to search within. In the present invention the definition of a region is not limited to just categories as it includes neighborhoods around individual documents and sets which have been user defined.

Abstract: The present system processes a text search query on a collection of documents in which a text search query is translated into conditions on index terms. The system groups documents in blocks of N and generates and stores a block posting index enumerating blocks in which the index term occurs in at least one document of the block. The system generates and stores intrablock postings for each block and each index term. The intrablock postings comprise a bit vector of length N representing the sequence of documents forming the block. Each bit indicates the occurrence of the index term in the corresponding document. The conditions of a given query are processed using the block posting index to obtain hit candidate blocks and identify the hit documents fulfilling the conditions.

Abstract: Techniques are provided for electronic Information Retrieval (IR) applied for an electronic search in a search environment. At indexing time, a searched document is mapped to at least one element of an organizational structure of an enterprise associated with the search environment. At query time, a querying user is associated with at least one element of the organizational structure of the enterprise. The organizational information of the searched document and that of the querying user are compared. A higher rank is provided to the searched document when the searched document has a closer organizational relation to the querying user compared to other searched documents with a less close relation to the querying user based on the compared organizational information.

Abstract: A method, system, and computer program product are provided for processing a text search query in a collection of documents. A full posting index is generated. The full posting index comprises one or more first index terms and a full posting list for each first index term, enumerating occurrences of the first index term in the documents of the collection. A text search query comprises search conditions on search terms. These search conditions are translated into conditions on the search terms to provide translated conditions. At least one short posting index is generated. The short posting index comprises one or more second index terms and a short posting list for each second index term, enumerating the documents in which the second index term occurs. Filter conditions and complementary conditions to represent the full content of the translated conditions are generated, wherein the filter conditions approximate the translated conditions.

Abstract: A method, system and computer program product implementing the method are provided to process a text search query in a collection of documents. A full posting index is generated for the documents in the collection. The full posting index comprises one or more first index terms and a full posting list for each first index term, enumerating the occurrences of the first index term in the documents. In addition to the full posting index, at least one additional posting index is generated for the documents. The additional posting index is related to a defined document part and comprises one or more second index terms and a restricted posting list for each second index term, enumerating all occurrences of the second index term in the document part of the documents of the collection. The text search query is performed using the additional posting index.

Abstract: Method and Infrastructure for Processing Queries in a Database According to the present invention a method and an infrastructure are provided for processing queries in a database (1) of data records each comprising at least one parametric object with parametric information and at least one extension of a nonparametric datatype, the query comprising at least one parametric condition for the parametric object of the data records and at least one nonparametric condition for the nonparametric extension of the data records. First, at least parts of the parametric information of each data record are translated into constructs of the datatype of the extension. Processing a query comprises evaluation of a parametric result set (2) of data records for the parametric condition. In order to evaluate a nonparametric result set (5) of data records for the nonparametric condition, the parametric condition of said query is translated into at least one filter condition for said constructs of the datatype of the extension.

Abstract: This mechanism relates to a method within the area of information mining within a multitude of documents stored on computer systems. More particularly, this mechanism relates to a computerized method of generating a content taxonomy of a multitude of electronic documents. The technique proposed by the current invention is able to improve at the same time the scalability and the coherence and selectivity of taxonomy generation. The fundamental approach of the current invention comprises a subset selection step, wherein a subset of a multitude of documents is being selected. In a taxonomy generation step a taxonomy is generated for that selected subset of documents, the taxonomy being a tree structured taxonomy hierarchy. Moreover this method comprises a routing selection step assigning each unprocessed document to the taxonomy hierarchy based on largest similarity.