Exploiting interclass rules for focused crawling

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2004-11-01

Author

Altıngövde, İsmail Sengör

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A focused crawler gathers relevant Web pages on a particular topic. This rule-based Web-crawling approach uses linkage statistics among topics to improve. a baseline focused crawler's harvest rate and coverage.

Subject Keywords

Computer Networks and Communications, Artificial Intelligence

URI

https://hdl.handle.net/11511/46780

Journal

IEEE INTELLIGENT SYSTEMS

DOI

https://doi.org/10.1109/mis.2004.62

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Department of Computer Engineering, Article

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Exploiting Navigational Queries for Result Presentation and Caching in Web Search Engines Ozcan, Rifat; Altıngövde, İsmail Sengör; Ulusoy, Ozgur (Wiley, 2011-04-01) Caching of query results is an important mechanism for efficiency and scalability of web search engines. Query results are cached and presented in terms of pages, which typically include 10 results each. In navigational queries, users seek a particular website, which would be typically listed at the top ranks (maybe, first or second) by the search engine, if found. For this type of query, caching and presenting results in the 10-per-page manner may waste cache space and network bandwidth. In this article, w...
Second Chance: A Hybrid Approach for Dynamic Result Caching and Prefetching in Search Engines Ozcan, Rifat; Altıngövde, İsmail Sengör; Barla Cambazoglu, B.; ULUSOY, ÖZGÜR (Association for Computing Machinery (ACM), 2013-12-01) Web search engines are known to cache the results of previously issued queries. The stored results typically contain the document summaries and some data that is used to construct the final search result page returned to the user. An alternative strategy is to store in the cache only the result document IDs, which take much less space, allowing results of more queries to be cached. These two strategies lead to an interesting trade-off between the hit rate and the average query response latency. In this work...
Cost-Aware Strategies for Query Result Caching in Web Search Engines Ozcan, Rifat; Altıngövde, İsmail Sengör; Ulusoy, Ozgor (Association for Computing Machinery (ACM), 2011-05-01) Search engines and large-scale IR systems need to cache query results for efficiency and scalability purposes. Static and dynamic caching techniques (as well as their combinations) are employed to effectively cache query results. In this study, we propose cost-aware strategies for static and dynamic caching setups. Our research is motivated by two key observations: (i) query processing costs may significantly vary among different queries, and (ii) the processing cost of a query is not proportional to its po...
Exploiting information extraction techniques for automatic semantic annotation and retrieval of news videos in Turkish Küçük, Dilek; Yazıcı, Adnan; Department of Computer Engineering (2011) Information extraction (IE) is known to be an effective technique for automatic semantic indexing of news texts. In this study, we propose a text-based fully automated system for the semantic annotation and retrieval of news videos in Turkish which exploits several IE techniques on the video texts. The IE techniques employed by the system include named entity recognition, automatic hyperlinking, person entity extraction with coreference resolution, and event extraction. The system utilizes the outputs of th...
Metadata-based modeling of information resources on the web Ozel, SA; Altıngövde, İsmail Sengör; Ulusoy, O; Ozsoyoglu, G; Ozsoyoglu, ZM (Wiley, 2004-01-15) This paper deals with the problem of modeling Web information resources using expert knowledge and personalized user information for improved Web searching capabilities. We propose a "Web information space" model, which is composed of Web-based information resources (HTML/XML [Hypertext Markup Language/Extensible Markup Language] documents on the Web), expert advice repositories (domain-expert-specified meta-data for information resources), and personalized information about users (captured as user profiles...

Citation Formats

İ. S. Altıngövde, “Exploiting interclass rules for focused crawling,” IEEE INTELLIGENT SYSTEMS, pp. 66–73, 2004, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/46780.