Bee hive at work: A problem solving, optimizing mechanism

Návrat, Pavol; Jelínek, Tomáš; Jastrzembska, Lucia

doi:10.1109/nabic.2009.5393611

Cited by 4 publications

(2 citation statements)

References 19 publications

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“…The bee hive model has been used in our previous works mainly in web search and in function optimalisation [20]. In this work we present a modified bee hive model and employ it in a system for tracking a developing story.…”

Section: Discussionmentioning

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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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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Section: Discussionmentioning

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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“…Further development of this idea was pursued in [13] by elaborating on the web crawler part of the proposed search engine. In a follow up research, further possibilities of BM deployment for function optimization and hierarchical optimization are presented in [14].…”

Section: B Social Insectmentioning

confidence: 99%

What's going on out there right now? A beehive based machine to give snapshot of the ongoing stories on the Web

Návrat

Sabo

2012

2012 Fourth World Congress on Nature and Biologically Inspired Computing (NaBIC)

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In this paper we present an approach, inspired by honey bees, that allows us to take a glance at current events by exploring a portion of the Web and extracting keywords, relevant to current news stories. Not unlike the bees, that cooperate together to retrieve little bits of food, our approach uses agents to select random keywords and carry them from one article to another, landing only on the articles relevant to the keyword. Keywords that best represent multiple articles are selected, while keywords not relevant to articles are subsequently discarded and not explored further. Our results show, that with this approach, it is possible to extract keywords relevant to news stories, without utilizing learning methods, or analysis of a data corpus.

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