2005
DOI: 10.1007/s10791-005-6992-6
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Mobile Agents for Distributed and Heterogeneous Information Retrieval

Abstract: The heterogeneous, distributed and voluminous nature of many government and corporate data sources impose severe constraints on meeting the diverse requirements of users who analyze the data. Additionally, communication bandwidth limitations, time constraints, and multiple data formats impose further restrictions on users of these distributed data sources. In this paper, we present an Agent-based Complex QUerying and Information Retrieval Engine (ACQUIRE) for large, heterogeneous, and distributed data sources.… Show more

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Cited by 10 publications
(8 citation statements)
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“…Query planning (Das et al, 2002(Das et al, & 2005 involves generating a set of sub-queries from a given user query based on the data source locations that have parts of the required information to answer the query. The optimization process then generates an efficient ordering of execution among these sub-queries.…”
Section: Query Planning and Optimizationmentioning
confidence: 99%
“…Query planning (Das et al, 2002(Das et al, & 2005 involves generating a set of sub-queries from a given user query based on the data source locations that have parts of the required information to answer the query. The optimization process then generates an efficient ordering of execution among these sub-queries.…”
Section: Query Planning and Optimizationmentioning
confidence: 99%
“…Highly distributed heterogeneous data sources. Heterogeneous and distributed data sources contain diverse and mostly incompatible media with distinct formats (Das et al, 2005). The information gathered from these sources must be integrated and presented to the user in a coherent way.…”
Section: The Www Environmentmentioning
confidence: 99%
“…Network connections. Drawbacks of the wireless communications environment, protocol limitations, dissimilar bandwidths between users and service providers, multiple data formats; all impose restrictions over the use of the WWW's network connections and communications (Das et al, 2005;Lech and Wienhofen, 2005;Matsumoto and Haq, 2004). Moreover, if the environment is mobile then it is hostile; it has low bandwidth, high rate of disconnection, high error rate, among others (Matsumoto and Haq, 2004).…”
Section: The Www Environmentmentioning
confidence: 99%
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“…The main difference between I-FGM and Harvest is that the Harvest system does not have an intelligent resource allocation strategy which can improve system efficiency over time and imbue the system with the ability to bring new relevant information to the attention of the analyst in a timely manner. ACQUIRE [9] is a powerful system designed for retrieving heterogeneous data from distributed databases. The system can dynamically change its retrieval strategy according to retrieval factors such as network speed, computational capabilities.…”
Section: Related Workmentioning
confidence: 99%