Development roadmap: 2018/19
Published: 22 August 2018
Published: 22 August 2018
Keeping Culture is currently developing a genealogy charting component that is capable of viewing and recording, in an interactive way, the relations between people, families, places and cosmological beings.
While genealogical information can already be recorded in archives, the ability to visually view and interact with family trees significantly improves the quality and accuracy of the information being recorded and conveyed back to the user.
Furthermore, this development optimises the existing data entry requirements of the People knowledge class. Through dynamic evaluation of parental relationships, adding genealogy information to the archive will be faster and easier for users.
The Genealogy component is due for release in the first half of 2019. It is the first major upgrade to the new system introduced in November 2017 and demonstrates our commitment to a wholistic approach to the preservation of cultural knowledge.
Having a flexible platform to create new functionality was one of the biggest motivations for developing the new system. Equally inspiring are our customer’s ideas for the software and the exciting opportunities that are emerging in the Cloud computing space. So the question has to be asked, “Where to from here?”.
Below are some big concepts, grand visions and wild ideas for Keeping Culture’s future:
Dictionary: a multi-lingual dictionary tool for the recording and preservation of language. The dictionary functionality would be integrated with, and supplement, the existing software functionality.
Artificial Intelligence (AI) Cloud services: integrate image analysis to provide object and scene detection, facial recognition and face comparison using Amazon Rekognition. Further opportunities exist to leverage speech-to-text and other language based AI services.
Contributor framework: A framework that analyses an archive’s content in relation to a specific user, in order to determine the user’s authority on, or interest in, a specific subject matter. The analysis would take into account a user’s family, professional and friend networks, country, place, time and metadata contributions to determine which archive content is relevant to them; thus providing a ‘me and my world’ centric experience.
A suite of pages, tools and functionality would be developed to prompt users to contribute information, manage their own contributions (including ingested media), and explore their world via a social media inspired interaction. The more a user contributes to the archive, the larger their ‘me and my world’ experience grows.
Viewing derived relationships: A process whereby record relationships are traversed in order to locate derived relationships that exist in indirectly linked records. For example, when a person’s record is viewed, the system would display derived information such as:
the timeline of places visited and event participated in,
relationships to extended family members,
organisations they have been involved in,
annotations they have made,
archive items they may have created,
archive items they may appear in,
and so on.
Archive Nodes framework: A high-level multi-archive management framework that allows any number of archives to hang off a tree-like node structure; where content is shared and accessed based on the position in which an archive sits within the node structure. It would provide a taxonomy approach to structuring large and diverse collections of media and knowledge, while allowing community groups to access, manage and contribute to only a subsection of the larger structure.
Management of archival data storage: An administration interface to manage long-term archival storage and retrieval of original media assets held within Keeping Culture KMS.