Today, important information is often hidden in text, making it hard to find when we need it. It is unfortunate that millions of hours are spent gathering information, yet we’re unable to recover it on demand. When we are left with an incomplete picture, this can lead to inefficiency, project delays or the spread of false information.
To unlock the information hidden in text, we find that available search methods are insufficient. Hence, new search tools must be developed. The new approach must focus on searching information and not documents. In this context, knowledge graphs hold significant potential. Please refer to the following pages for more details:
Status quo
Unlocking Scientific Knowledge
The abundance of information raised a new problem: information retrieval. Here, you can find a brief analysis of the limitations of current search methods.
Context
Literature review
Publications relevant for universal knowledge graph schema are discussed, which provides valuable lessons, but none solved the issue.
Solution
Navigating via knowledge graph
The solution to the search-blockade that scientists face.