The web with its sheer unmeasurable speed of broadcasting new data and its vast quantity of available knowledge is the first choice for information seekers. It is a user’s privilege to read or skim a webpage or bookmark it for later reference. Considering that the human memory can be deceptive, it also is a user's obligation to keep information ordered and easily accessible for later reference.
Storyfinder is an application that includes a browser plugin and a server backend in order to identify and manage the information found in a web page. It highlights named entities and keywords in a currently visited webpage and provides an additional graph view of them. You can edit the nodes and edges, combine web page graph views and search for entities and relations.
Stroryfinder keeps the information you extracted found in webpages managed and provides alternative views of data for easy access.
The Chrome plugin is licensed under the Apache Version 2 License.
'docker-compose -f <filename> -p storyfinder up'and wait until the server stack is started. (Note: internet connection is required in order to download resources. Data directories for images and database will be created in the current directory.)
'docker-compose -f <filename> -p storyfinder down'to stop the server stack
The webserver is licensed under the Apache Version 2 License.
Steffen Remus, Manuel Kaufmann, Kathrin Ballweg, Tatiana von Landesberger, and Chris Biemann. 2017. Storyfinder: Personalized Knowledge Base Construction and Management by Browsing the Web. In Proceedings of the 26th ACM International Conference on Information and Knowledge Management. Singapore, Singapore. pp. 2519-2522. (pre-print pdf, bibtex)
Manuel Kaufmann. 2016. Storyfinder: Graphen zur Verbesserung des Textverstandnisses auf Webseiten. Master’s thesis, Technische Universität, Darmstadt, Darmstadt, Germany. (pdf)