04-03-2013, 09:16 AM
Efficient Fuzzy Type-Ahead Search in XML Data
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ABSTRACT
In a traditional keyword-search system over XML data, a user composes a keyword query, submits it to the system, and retrieves relevant answers. In the case where the user has limited knowledge about the data, often the user feels “left in the dark” when issuing queries, and has to use a try-and-see approach for finding information. In this paper, we study fuzzy type-ahead search in XML data, a new information-access paradigm in which the system searches XML data on the fly as the user types in query keywords. It allows users to explore data as they type, even in the presence of minor errors of their keywords.
Our proposed method has the following features: 1) Search as you type: It extends Auto complete by supporting queries with multiple keywords in XML data. 2) Fuzzy: It can find high-quality answers that have keywords matching query keywords approximately. 3) Efficient: Our effective index structures and searching algorithms can achieve a very high interactive speed. We study research challenges in this new search framework.
We propose effective index structures and top-k algorithms to achieve a high interactive speed. We examine effective ranking functions and early termination techniques to progressively identify the top-k relevant answers. We have implemented our method on real data sets, and the experimental results show that our method achieves high search efficiency and result quality.
EXISTING SYSTEM:
Traditional methods use query languages such as XPath and XQuery to query XML data. These methods are powerful but unfriendly to non-expert users. First, these query languages are hard to comprehend for non-database users. In a traditional keyword-search system over XML data, a user composes a query, submits it to the system, and retrieves relevant answers from XML data. This information-access paradigm requires the user to have certain knowledge about the structure and content of the underlying data repository. In the case where the user has limited knowledge about the data, often the user feels “left in the dark” when issuing queries, and has to use a try-and-see approach for finding information.
PROPOSED SYSTEM:
In this paper, we propose TASX (pronounced “task”), a fuzzy type-ahead search method in XML data. TASX searches the XML data on the fly as user’s type in query keywords, even in the presence of minor errors of their keywords. TASX provides a friendly interface for users to explore XML data, and can significantly save users typing effort. In this paper, we study research challenges that arise naturally in this computing paradigm. The main challenge is search efficiency. Each query with multiple keywords needs to be answered efficiently.
[attachment=52474]
ABSTRACT
In a traditional keyword-search system over XML data, a user composes a keyword query, submits it to the system, and retrieves relevant answers. In the case where the user has limited knowledge about the data, often the user feels “left in the dark” when issuing queries, and has to use a try-and-see approach for finding information. In this paper, we study fuzzy type-ahead search in XML data, a new information-access paradigm in which the system searches XML data on the fly as the user types in query keywords. It allows users to explore data as they type, even in the presence of minor errors of their keywords.
Our proposed method has the following features: 1) Search as you type: It extends Auto complete by supporting queries with multiple keywords in XML data. 2) Fuzzy: It can find high-quality answers that have keywords matching query keywords approximately. 3) Efficient: Our effective index structures and searching algorithms can achieve a very high interactive speed. We study research challenges in this new search framework.
We propose effective index structures and top-k algorithms to achieve a high interactive speed. We examine effective ranking functions and early termination techniques to progressively identify the top-k relevant answers. We have implemented our method on real data sets, and the experimental results show that our method achieves high search efficiency and result quality.
EXISTING SYSTEM:
Traditional methods use query languages such as XPath and XQuery to query XML data. These methods are powerful but unfriendly to non-expert users. First, these query languages are hard to comprehend for non-database users. In a traditional keyword-search system over XML data, a user composes a query, submits it to the system, and retrieves relevant answers from XML data. This information-access paradigm requires the user to have certain knowledge about the structure and content of the underlying data repository. In the case where the user has limited knowledge about the data, often the user feels “left in the dark” when issuing queries, and has to use a try-and-see approach for finding information.
PROPOSED SYSTEM:
In this paper, we propose TASX (pronounced “task”), a fuzzy type-ahead search method in XML data. TASX searches the XML data on the fly as user’s type in query keywords, even in the presence of minor errors of their keywords. TASX provides a friendly interface for users to explore XML data, and can significantly save users typing effort. In this paper, we study research challenges that arise naturally in this computing paradigm. The main challenge is search efficiency. Each query with multiple keywords needs to be answered efficiently.