Adaptive information agents in distributed textual environments
AGENTS '98 Proceedings of the second international conference on Autonomous agents
The shark-search algorithm. An application: tailored Web site mapping
WWW7 Proceedings of the seventh international conference on World Wide Web 7
Focused crawling: a new approach to topic-specific Web resource discovery
WWW '99 Proceedings of the eighth international conference on World Wide Web
Adding support for dynamic and focused search with Fetuccino
WWW '99 Proceedings of the eighth international conference on World Wide Web
Adaptive Retrieval Agents: Internalizing Local Contextand Scaling up to the Web
Machine Learning - Special issue on information retrieval
Exploring Social Behaviour of Honey Bees Searching on the Web
WI-IATW '07 Proceedings of the 2007 IEEE/WIC/ACM International Conferences on Web Intelligence and Intelligent Agent Technology - Workshops
Web search engine working as a bee hive
Web Intelligence and Agent Systems
Story tracking: linking similar news over time and across languages
MMIES '08 Proceedings of the Workshop on Multi-source Multilingual Information Extraction and Summarization
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Information can change rapidly on the web. For example, news may hint some new story starts to develop. Many more news related to the original event begin to pour in the web. Imagine a person interested in how the story develops. It may be very difficult to trace it by trying to find the most relevant pages with most recent news on it. Our goal is to support user who wants to keep track of a developing story. We propose an approach and a system based on a bee hive model. The problem we focus on in this paper is that it is not possible to download all the pages using e.g. the breadth-first algorithm, nor to constantly revisit all the pages to see if new information were added. We propose to use a focused crawler to download the pages. With a prototype of our system, we performed a case study that shows that the system is able to collect relevant pages, it can monitor the story being developed during the search and it can even reconstruct the story backwards in time.