Attributive concept descriptions with complements
Artificial Intelligence
A calculus of mobile processes, II
Information and Computation
Navigational plans for data integration
AAAI '99/IAAI '99 Proceedings of the sixteenth national conference on Artificial intelligence and the eleventh Innovative applications of artificial intelligence conference innovative applications of artificial intelligence
The perfect search engine is not enough: a study of orienteering behavior in directed search
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Large scale analysis of web revisitation patterns
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Mining the search trails of surfing crowds: identifying relevant websites from user activity
Proceedings of the 17th international conference on World Wide Web
Proceedings of the VLDB Endowment
Web Semantics: Science, Services and Agents on the World Wide Web
Hypertableau reasoning for description logics
Journal of Artificial Intelligence Research
Assessing the scenic route: measuring the value of search trails in web logs
Proceedings of the 33rd international ACM SIGIR conference on Research and development in information retrieval
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For increasingly sophisticated use cases an end user needs to extract, combine, and aggregate information from various (often dynamic) web pages from different websites. Current search engines do not focus on combining information from various web pages in order to answer the overall information need of the user. Semantic Web and Linked Data usually take a static view on the data and rely on providers cooperation. Web automation scripts, initially developed for testing websites, allow end users to capture their browsing activities as executable processes and share them with other end users. A script can contain instructions for accessing, extracting and merging (dynamic) information from various websites for a particular purpose. Techniques for allowing users to search for scripts that satisfy complex constraints restrict to existing scripts in the repository, i.e. they do not deduce scripts that may satisfy the request as well. In this paper, we show how semantic descriptions of web sites can be derived from such scripts, and how such semantic descriptions of web sites along with usage information present in the scripts can be used to obtain new scripts with similar functionality.