Back to Search
Start Over
Storyfinder
- Source :
- CIKM
- Publication Year :
- 2017
- Publisher :
- ACM, 2017.
-
Abstract
- This paper presents Storyfinder, an application which consists of a browser plugin and a web server backend with the goal to highlight and manage the information contained in web pages by combining techniques from natural language processing and visual analytics. Webpages are analyzed while visiting them by means of natural language processing components, and metadata in the form of named entities and keywords are extracted and stored for further reference. The extracted information is instantaneously highlighted in the web page and stored in a graph of entities and relations. The graph can be inspected and modified. The investigational scope can be set to a single web page, multiple web pages, or the complete set of analyzed web pages in a user's history. The graph view is designed to adhere to standards of visual analytics and information visualization. Storyfinder is available as an open source application. Its benefit for information access is evaluated in a small user study.
- Subjects :
- Visual analytics
Web server
Computer science
business.industry
Information access
020207 software engineering
02 engineering and technology
computer.software_genre
World Wide Web
Metadata
Information extraction
Information visualization
Web page
0202 electrical engineering, electronic engineering, information engineering
020201 artificial intelligence & image processing
business
computer
Subjects
Details
- Database :
- OpenAIRE
- Journal :
- Proceedings of the 2017 ACM on Conference on Information and Knowledge Management
- Accession number :
- edsair.doi...........6c2c33adc40638200f621f055e1b4811