Abstract: A computer-implemented method for storage of digital information data via at least one processing unit (110) operatively coupled to at least one database is proposed. In at least one embodiment, the method comprises: providing at least one portion of the digital information data; performing at least one syntactic and/or semantic search in the at least one database based upon the portion of the digital information data; providing one or more meta-data strings in response to the at least one syntactic and/or semantic search; receiving at least one relevant meta-data string; and storing the portion of digital information data and the at least one relevant meta-data string. In at least one embodiment, the at least one relevant meta-data string is usable for a future syntactic and/or semantic search.

Abstract: The present invention relates to information retrieval. In order to facilitate a search and identification of documents, there is provided a computer-implemented method for training a classifier model for data classification in response to a search query.

Abstract: A computer-implemented method for generating digital information data in a subject area is proposed. The method comprises: providing, at a processing unit, digital information corpus data; extracting, via the processing unit, digital information seed data from the digital information corpus data; performing, via the processing unit, a search in at least one database comprising knowledge information, thereby extracting a plurality of text blocks related to the subject area from the at least one database; wherein the search is performed based upon the digital information seed data, indexing, via the processing unit, the text blocks in temporal sequence; generating, via the processing unit, the digital information data using the temporally organized text blocks.

Abstract: A computer-implemented method for storage of digital information data via at least one processing unit (110) operatively coupled to at least one database is proposed. In at least one embodiment, the method comprises: providing at least one portion of the digital information data; performing at least one syntactic and/or semantic search in the at least one database based upon the portion of the digital information data; providing one or more meta-data strings in response to the at least one syntactic and/or semantic search; receiving at least one relevant meta-data string; and storing the portion of digital information data and the at least one relevant meta-data string. In at least one embodiment, the at least one relevant meta-data string is usable for a future syntactic and/or semantic search.

Abstract: The present invention relates to information retrieval. In order to facilitate a search and identification of documents, there is provided a computer-implemented method for training a classifier model for data classification in response to a search query.

Abstract: In order to facilitate a search and identification of documents, an information retrieval system is provided for performing a search on a corpus of data objects. The information retrieval system comprises a device and a database. The database is configured to store at least one syntactic search index data structure and at least one semantic search index data structure. The syntactic search index data structure is configured to index and store in the database a plurality of terms from the corpus of data objects along with syntactic annotations indicating syntactic information. The at least one semantic search index data structure is configured to index and store in the database the plurality of terms from the corpus of data objects along with semantic annotations indicating semantic information. The device comprises an input unit, a processing unit, and an output unit. The input unit is configured to receive a syntactic query and a semantic query.