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WWW7 Proceedings of the seventh international conference on World Wide Web 7
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WWW '99 Proceedings of the eighth international conference on World Wide Web
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ECML '98 Proceedings of the 10th European Conference on Machine Learning
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Focused crawling by exploiting anchor text using decision tree
WWW '05 Special interest tracks and posters of the 14th international conference on World Wide Web
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ACM Transactions on Information Systems (TOIS)
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Data & Knowledge Engineering
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ISNN'11 Proceedings of the 8th international conference on Advances in neural networks - Volume Part III
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ECCV'06 Proceedings of the 9th European conference on Computer Vision - Volume Part I
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IEEE Transactions on Neural Networks
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The paper presents a general methodology to implement a flexible Focused Crawler for investigation purposes, monitoring, and Open Source Intelligence (OSINT). The resulting tool is specifically aimed to fit the operational requirements of law-enforcement agencies and intelligence analyst. The architecture of the semantic Focused Crawler features static flexibility in the definition of desired concepts, used metrics, and crawling strategy; in addition, the method is capable to learn (and adapt to) the analyst's expectations at runtime. The user may instruct the crawler with a binary feedback (yes/no) about the current performance of the surfing process, and the crawling engine progressively refines the expected targets accordingly. The method implementation is based on an existing text-mining environment, integrated with semantic networks and ontologies. Experimental results witness the effectiveness of the adaptive mechanism.