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A Web Smart Space Framework for Intelligent Search Engines

By M. Asif Naeem and Noreen Asif

Abstract

A web smart space is an intelligent environment which has additional capability of searching the information smartly and efficiently. New advancements like dynamic web contents generation has increased the size of web repositories. Among so many modern software analysis requirements, one is to search information from the given repository. But useful information extraction is a troublesome hitch due to the multi-lingual; base of the web data collection. The issue of semantic based information searching has become a standoff due to the inconsistencies and variations in the characteristics of the data. In the accomplished research, a web smart space framework has been proposed which introduces front end processing for a search engine to make the information retrieval process more intelligent and accurate. In orthodox searching anatomies, searching is performed only by using pattern matching technique and consequently a large number of irrelevant results are generated. The projected framework has insightful ability to improve this drawback and returns efficient outcomes. Designed framework gets text input from the user in the form complete question, understands the input and generates the meanings. Search engine searches on the basis of the information provided

Topics: JOURNALS
Year: 2011
OAI identifier: oai:cogprints.org:7294
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    1. (2000). A mathematical programming model for scheduling steel-making-continuous casting production. doi
    2. (2001). A Multi-agent architecture for dynamic scheduling of steel hot rolling doi
    3. (2003). A Multi-agent architecture for dynamic scheduling of steel hot rolling, doi
    4. (2001). A review of planning and scheduling systems and methods for integrated steel production,
    5. (2006). Abbas Choudhary [2006], “A Rule Based Paradigm for Speech Language Context Understanding”,
    6. (2006). Abbas Choudhary [2006], "Speech Language Processing Interface for Object-Oriented Application Design using a Rule-based Framework",
    7. Agent Communication within a Search Engine Architecture
    8. (1999). Byron Dom “Focused Crawling: A New Approach to Topic-Specific Web Resource Discovery” The Eighth International World Wide Web Conference, doi
    9. (2003). Contract net protocol for cooperative optimisation and dynamic scheduling of steel production.
    10. (2004). Dynamic scheduling of steel casting and milling using multi-agents. Production Planning and Control, Special Issue on the Application of Multi Agent Systems to Production Planning and Control doi
    11. (2000). Enric Plaza, Juan Antonio Rodriguez-Aguilar, “An infraestructure for Agent- Based Systems: An Interagent Approach”.
    12. (2000). Integration of continuous caster and hot strip mill planning for steel production.
    13. (2006). Knowledge engineering from a web smart space using speech language processing techniques”
    14. (1998). Mobile Intelligent Agents for Document Classification and Retrieval: A Machine Learning Approach,
    15. (2000). Multi-agent systems for dynamic scheduling. doi
    16. (1996). Production optimisation through integrated caster and hot strip mill scheduling.
    17. (1997). Software Agent Technologies, Software Agents and Soft Computing: Towards Enhanced Machine Intelligence,
    18. (2002). Using real time information for effective dynamic scheduling. doi
    19. (2003). Utility and stability measures for agent-based dynamic scheduling of steel continuous casting.
    20. (2006). Web Information Mining Framework using XML Based Knowledge Representation Engine”,

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