Eric J. Glover, Steve Lawrence, William P. Birming- ham, and C. Lee Giles. Architecture of a metasearch engine that supports user information needs. In Eighth International Conference on Information and Knowledge Management (CIKM'99), pages 210 216, Kansas City, MO, November 1999. ACM Press.  Home/Search   Document Details and Download   Summary   Related Articles   Check

....performing source applications might return high ranked results after results have already been displayed. Final reranking proves both inconvenient and unresponsive, as the delay for the final ranking corresponds to the time for gathering all results. Dynamic reranking, demonstrated in Inquirus 2 [14], requires arriving results to be directly propagated to the user interface, which needs a coexisting facility for dynamic updates. This can be confusing to the user as the results display is constantly being refreshed. The synchronized completion of all modules ensures optimal result unification, ....

Glover, E. J., S. Lawrence, W. Birmingham, C. Lee Giles. Architecture of a Metasearch Engine that Supports User Information Needs. In Proceedings of the Eighth International Conference on Information Knowledge Management (CIKM99), ACM, 1999.

....context information can be supplied to a search engine in the form of a category restriction 2 . Such a category may considerably disambiguate a query and thus focus the results. For instance, given the search term jaguar , possible categories are fauna or cars The Inquirus 2 project [Glover et al. 1999] specifically requests context information in this way. In contrast to this approach, other tools infer context information automatically by analyzing whole documents displayed on users screens. The Watson project [Budzik and Hammond 2000] attaches this background information to explicit user ....

Glover, E. et al. Architecture of a meta search engine that supports user information needs. In Proceedings of the 8 th International Conference on Information and Knowledge Management, CIKM 99, Kansas City, Missouri, November 1999, pp. 210-216.

....synonyms also exist in the metadata manager to assist with this process. If structured data are found, a SQL query is built from the initial natural language query. Otherwise, a metasearch of unstructured sources is used. Hence, our mediator is no worse than a typical metasearch engine [Bart94, Drei97, Glov99, Glov00]. A typical metasearch engine simply submits the query to a group of unstructured sources we do this and consult structured sources as well. Following the selection of sources for query processing, the query is sent to the corresponding query modules and results are returned to the mediator ....

....of various methods for managing the asynchronous arrival of results. This facilitates a better unified ranking in the results manager and ultimately more timely access to results set in the user interface. Numerous mediators take different approaches. Inquirus asynchronously displays results [Glov99, Glov00]. This is effective in the sense that users do not have to wait for a result, but it has the potential for sub optimal relevance ranking. Some documents may not arrive until after some ranking was done. To alleviate this problem, an improved prototype, Inquirus2, has two windows, and one window is ....

Glover, E. J., S. Lawrence, W. Birmingham, C. Lee Giles. Architecture of a Metasearch Engine that Supports User Information Needs. In Proceedings of the Eighth International Conference on Information Knowledge Management (CIKM99), ACM, 1999.

....Explicit context information can be supplied to a search engine in the form of a category restriction 3 . Such a category may considerably disambiguate a query and thus focus the results. For instance, given the search term jaguar , possible categories are fauna or cars . Inquirus 2 project [7] specifically requests context information in this way. In contrast to this approach, other tools infer context information automatically by analyzing whole documents displayed on users screens. The Watson project [2] attaches this background information to explicit user queries, while tools ....

E. Glover et al. Architecture of a meta search engine that supports user information needs. In 8 th International Conference on Information and Knowledge Management, CIKM 99, pp. 210-216, Kansas City, Missouri, November 1999.

.... efficient indexing and retrieval of scientific documents (Lawrence, Bollacker, Giles 1999) Reviews of work in web searching include (Lawrence Giles 1999) Filman (guest editors) 1998) and (Lawrence Giles 1998) We are interested in web metasearch engines (MSE) Selberg Etzioni 1995) (Glover et al. 1999), which dispatch user queries to several available WSE; each WSE produces an ordered list of data items in response to the query, and the MSE combines these lists into a single summary list that is then passed on to the user. In the present paper we present a new approach to web metasearching. ....

Glover, E.; Lawrence, S.; Birmingham, W.; and Giles, C. 1999. Architecture of a metasearch engine that supports user information needs. In Eighth International Conference on Information and Knowledge Management (CIKM '99).

....to use. Choosing specific sources may improve precision, but may exclude general purpose search engines that contain valuable results. To further improve the user s ability to find relevant documents in a specific category, Inquirus has been extended to a preference based metasearch, Inquirus 2 [8]. Inquirus 2, Figure 1, adds ability to perform both source selection and query modification. The category specific knowledge used by Inquirus 2 (sources, query modifications, and the classifiers) was learned using the procedures described in this paper. Our procedure automates the process of ....

Eric J. Glover, Steve Lawrence, William P. Birming- ham, and C. Lee Giles. Architecture of a metasearch engine that supports user information needs. In Eighth International Conference on Information and Knowledge Management (CIKM'99), pages 210 216, Kansas City, MO, November 1999. ACM Press.

....These query modifiers are periodically submitted to approximately ten commercial search engines via Inquirus 2, a meta search engine that supports query modifiers. In this way, we leverage the coverage and bandwidth of commercial search engines. Detailed descriptions of this work are available in [4, 5]. 2.2 Stage II: Pre Screening Using SVMs While some of the retrieval stages (such as the focused crawler) enforce some degree of document relevancy, the fraction of irrelevant documents produced by the input stage is still high. The downloaded documents are therefore pre screened using text ....

E. J. Glover, S. Lawrence, W. P. Birmingham, and C. L. Giles, "Architecture of a metasearch engine that supports user information needs," in Eighth International Conference on Information and Knowledge Management (CIKM'99), (Kansas City, MO), pp. 210--216, ACM Press, November 1999.

....desire documents in a well defined category that is not easily localized like those covered by specialized metasearch engines. Our work is motivated by the desire to build a metasearch engine that can adaptively specialize to many different document categories. Our prototype system, Inquirus 2 [5, 4], currently allows users to focus a search on categories such as personal home pages, research papers, and product reviews. Previous versions of Inquirus 2 used hand coded query modifications to improve the search performed by the search engines. This work gives a method by which effective ....

E. J. Glover, S. Lawrence, W. P. Birmingham, and C. L. Giles. Architecture of a metasearch engine that supports user information needs. In Eighth International Conference on Information Knowledge Management (CIKM'99), pages 210--216, Kansas City, MO, November 1999. ACM Press.

....to use. Choosing specific sources may improve precision, but may exclude general purpose search engines that contain valuable results. To further improve the user s ability to find relevant documents in a specific category, Inquirus has been extended to a preference based metasearch, Inquirus 2 [8]. Inquirus 2, Figure 1, adds ability to perform both source selection and query modification. The category specific knowledge used by Inquirus 2 (sources, query modifications, and the classifiers) was learned using the procedures described in this paper. Our procedure automates the process of ....

Eric J. Glover, Steve Lawrence, William P. Birmingham, and C. Lee Giles. Architecture of a metasearch engine that supports user information needs. In Eighth International Conference on Information and Knowledge Management (CIKM'99), pages 210-- 216, Kansas City, MO, November 1999. ACM Press.

....query. However, providing context in this form is difficult and limited. One way to add well defined context information to a search request is for the search engine to specifically request such information. 2. 1 Adding explicit context information The Inquirus 2 project at NEC Research Institute [29, 30] requests context information, currently in the form of a category of information desired. In addition to providing a keyword query, users choose a category such as personal homepages , research papers , or general introductory information . Inquirus 2 is a metasearch engine that operates as a ....

Eric Glover, Steve Lawrence, William Birmingham, and C. Lee Giles. Architecture of a metasearch engine that supports user information needs. In Eighth International Conference on Information and Knowledge Management, CIKM 99, pages 210--216, Kansas City, Missouri, November 1999.

....Choosing specific sources may improve precision, but may exclude general purpose search engines that contain valuable results. To further improve the user s ability to find relevant documents in a specific category, Inquirus has been extended to a preference based metasearch engine, Inquirus 2 [8]. Inquirus 2 adds the ability to perform both source selection and query modification, as shown in Figure 1. The category specific knowledge used by Inquirus 2 (sources, query modifications, and the classifiers) was learned using the procedures described in this paper. Our procedure automates the ....

Eric J. Glover, Steve Lawrence, William P. Birmingham, and C. Lee Giles. Architecture of a metasearch engine that supports user information needs. In Eighth International Conference on Information and Knowledge Management (CIKM'99), pages 210-- 216, Kansas City, MO, November 1999. ACM Press.

....acute when the operating point (recall precision setting) that will be used by the end user is unknown. In metasearch engines for example, load allocation, micro payment schedules, and bandwidth requirements can result in different desired operating points for querying the secondary sources [3, 4, 5, 6]. Similarly, when storing and indexing the massive quantities of financial news available on the web for later use in risk assessment, the exact cost and risk functions that will be used by the end users cannot be known in advance. In this paper we address this feature selection problem for ....

....engine, which reduces the bandwidth consumption and computational load on the meta engine site. These advantages are especially significant in next generation search services such as Inquirus and Inquirus 2, that download the web pages associated with queries returned to the metasearch engine [17, 18, 19, 6]. In a metasearch framework it is important to predict the recall and false alarm rate implied by a query modifier for a particular search engine. This information can be used to allocate server loads, predict the quality and expected quantity of results produced by each search engine, and also ....

[Article contains additional citation context not shown here]

E. J. Glover, S. Lawrence, W. P. Birmingham, and C. L. Giles, "Architecture of a metasearch engine that supports user information needs," in Proc. CIKM 1999, pp. 210--216, 1999.

....threshold ratios to every document and extracts target elements. The user interacts with the database by selecting a specific operating point for accesses, and providing standard queries. erage and bandwidth of commercial search engines. Detailed descriptions of this work are available in [6, 7]. 2.2 Stage II: Pre Screening Using SVMs While some of the retrieval stages (such as the focused crawler) enforce some degree of document relevancy, the fraction of irrelevant documents produced by the input stage is still high. The downloaded documents are therefore pre screened using text ....

E. J. Glover, S. Lawrence, W. P. Birmingham, and C. L. Giles. Architecture of a metasearch engine that supports user information needs. In Eighth International Conference on Information and Knowledge Management (CIKM'99), pages 210--216, Kansas City, MO, November 1999. ACM Press.

Online articles have much greater impact   More about CiteSeer.IST   Add search form to your site   Submit documents   Feedback  

CiteSeer.IST - Copyright Penn State and NEC