Abstract: A computer-implemented method of locating information in a database of electronic documents includes defining fragments of the documents, associating the fragments with the document from which the fragments originated, and associating metadata with the fragments, where the metadata associated with a fragment includes metadata related to one or more topics of the fragment. A query for one or more documents containing information about a topic is received, and a document is located from the database based on a comparison of the query with the metadata associated with a fragment of the document.

Abstract: Content stored in a plurality of electronic files that belong to a course of learning resources is read. An object-oriented representation of structures of the content is generated, where the representation includes objects that represent portions of the content, and a semantic content model of the content is generated based on the object-oriented representation of the content. Instructions to modify the content are received and the object-oriented representation of the structures of the content is modified in response to the instructions from the user. In response to the modified object-oriented representation of structures of the content the content is modified.

Abstract: A computer-implemented method of locating information in a database of electronic documents includes defining fragments of the documents, associating the fragments with the document from which the fragments originated, and associating metadata with the fragments, where the metadata associated with a fragment includes metadata related to one or more topics of the fragment. A query for one or more documents containing information about a topic is received, and a document is located from the database based on a comparison of the query with the metadata associated with a fragment of the document.

Abstract: A computer-implemented method of locating information in a database of electronic documents includes defining fragments of the documents, associating the fragments with the document from which the fragments originated, and associating metadata with the fragments, where the metadata associated with a fragment includes metadata related to one or more topics of the fragment. A query for one or more documents containing information about a topic is received, and a document is located from the database based on a comparison of the query with the metadata associated with a fragment of the document.

Abstract: Generating searchable keywords includes obtaining sets of parameters that include weights, where the weights correspond to actions for changing first words into predicted keywords, using the sets of parameters to obtain predicted keywords from the first words, determining a prediction value for each set of parameters, where the prediction values are based on an extent to which predicted keywords for a set of parameters match predefined keywords, ranking the sets of parameters based on prediction values, and applying a selected set of parameters to a second word to obtain a new keyword, wherein the selected set of parameters is applied based on rank.

Abstract: A computer-implemented method of locating information in a database of electronic documents includes defining fragments of the documents, associating the fragments with the document from which the fragments originated, and associating metadata with the fragments, where the metadata associated with a fragment includes metadata related to one or more topics of the fragment. A query for one or more documents containing information about a topic is received, and a document is located from the database based on a comparison of the query with the metadata associated with a fragment of the document.

Abstract: Generating searchable keywords includes obtaining sets of parameters that include weights, where the weights correspond to actions for changing first words into predicted keywords, using the sets of parameters to obtain predicted keywords from the first words, determining a prediction value for each set of parameters, where the prediction values are based on an extent to which predicted keywords for a set of parameters match predefined keywords, ranking the sets of parameters based on prediction values, and applying a selected set of parameters to a second word to obtain a new keyword, wherein the selected set of parameters is applied based on rank.

Abstract: Content stored in a plurality of electronic files that belong to a course of learning resources is read. An object-oriented representation of structures of the content is generated, where the representation includes objects that represent portions of the content, and a semantic content model of the content is generated based on the object-oriented representation of the content. Instructions to modify the content are received and the object-oriented representation of the structures of the content is modified in response to the instructions from the user. In response to the modified object-oriented representation of structures of the content the content is modified.