Abstract: Example embodiments relate to a system to generate and cause display of a specially configured graphical user interface to receive and present collections of images. According to certain example embodiments, an image analysis system: receives an image file from a client device; generates a hash value based on the image file; performs a comparison of the hash value with a list that comprises a collection of hash values; identifies a match to the hash value among the collection of hash values; assigns a label to the image file in response to identifying the match among the collection of image files from the list; and indexes the image file at a memory location identified by the label assigned to the image file.

Abstract: A document review system is configured to quickly provide search results for large amounts of documents. Ontology templates are used to generate objects and links based on the documents. Users can view documents, and linked objects and object properties can be displayed. An index assisted search can be performed to determine the linked objects and object properties. A supplemental search can be performed on a second database that tracks modifications to the documents or objects. The modifications in the second database can be periodically written to the first database, and the index can be rebuilt. The user experience can be free of slow searches and slow index rebuilds.

Abstract: Example embodiments relate to a system to generate and cause display of a specially configured graphical user interface to receive and present collections of images. According to certain example embodiments, an image analysis system: receives an image file from a client device; generates a hash value based on the image file; performs a comparison of the hash value with a list that comprises a collection of hash values; identifies a match to the hash value among the collection of hash values; assigns a label to the image file in response to identifying the match among the collection of image files from the list; and indexes the image file at a memory location identified by the label assigned to the image file.

Abstract: Example embodiments relate to a system to generate and cause display of a specially configured graphical user interface to receive and present collections of images. According to certain example embodiments, an image analysis system: receives an image file from a client device; generates a hash value based on the image file; performs a comparison of the hash value with a list that comprises a collection of hash values; identifies a match to the hash value among the collection of hash values; assigns a label to the image file in response to identifying the match among the collection of image files from the list; and indexes the image file at a memory location identified by the label assigned to the image file.

Abstract: A document review system is configured to quickly provide search results for large amounts of documents. Ontology templates are used to generate objects and links based on the documents. Users can view documents, and linked objects and object properties can be displayed. An index assisted search can be performed to determine the linked objects and object properties. A supplemental search can be performed on a second database that tracks modifications to the documents or objects. The modifications in the second database can be periodically written to the first database, and the index can be rebuilt. The user experience can be free of slow searches and slow index rebuilds.

Abstract: A document review system is configured to quickly provide search results for large amounts of documents. Ontology templates are used to generate objects and links based on the documents. Users can view documents, and linked objects and object properties can be displayed. An index assisted search can be performed to determine the linked objects and object properties. A supplemental search can be performed on a second database that tracks modifications to the documents or objects. The modifications in the second database can be periodically written to the first database, and the index can be rebuilt. The user experience can be free of slow searches and slow index rebuilds.