Exploring Social Behaviour of Honey Bees Searching on the Web

Problem solving methods, inspired biologically or by nature, are gaining in importance. Their potential for devising new, but also for increasing efficiency of some well-known methods for solving different kinds of problems, is becoming more and more obvious. The behaviour of social insects provides a lot of inspiration. We took inspiration from honey bees, in particular the way they behave in a hive. We proposed a modified model devised for searching parts of the web online. In a series of experiments, we attempted to follow a developing story with the aim to automatically find documents (web pages) bringing news on the story. This service, working as a beehive, delivered documents as expected.

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“…It defines the behaviour of honey bees in the hive. In [16] we explicated the behaviour of bees when being outside the hive for Internet search.…”

Section: Bee Hive Modelmentioning

confidence: 99%

Bee Hive at Work: Following a Developing Story on the Web

Návrat

Ezzeddine

2010

Artificial Intelligence in Theory and Practice III

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“…• Maximal time in auditorium Maximal time the bee can stay in the auditorium (we used iterations) We took this model and specified the behaviour of the bee outside the hive [11] (source code is available at [18]). The web page was used as the ,,source" and the aim of the hive was to find the most relevant pages and thus focus the search for new pages into the more promising areas.…”

Section: Bee Hive Modelmentioning

confidence: 99%

Bee Hive at Work: Story Tracking Case Study

Návrat

Jastrzembska²,

Jelínek³

2009

2009 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology

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Abstract-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.

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“…Due to their decision making and communication in the hive the bees were able to focus on the more promising sites but kept the ability to dynamically react on the changes in their environment. The work is described in more detail in [15].…”

Section: Web Searchmentioning

confidence: 99%