Advancement of the search process for digital heritage by utilizing artificial intelligence algorithms

•The existing algorithms are not agile enough to adapt to different data structures.•ML approaches are compared to determine suitable ones for the search process.•Neural foresting method is proposed to increases the accuracy of the search results. The increasing amount of pressure to digitalize what we are used to consider a conventional data has created a need to analyze, search and process unique data structures in a timely manner. The progressive world has created a justified need not only for a fast query searches but also the most related and meaningful searches with a minimal guidance. This article explores the potential benefits of using unorthodox solutions, including Artificial Intelligence algorithms in processing big data that are unconventional data structures. One of such big data sources was created as part of digitalization of historic heritage materials, documents and artifacts. The article calls out the benefits and disadvantages of some Artificial Intelligence algorithms and explores ways to use a few of those algorithms for the purposes of the digital heritage. It also offers the solution to maximize the potential of the search engine that could be built for digital heritage or any other unstructured data.