Sources Selection Methodology for Hidden Web Data Integration
نویسندگان
چکیده
In the internet-scale hidden web data integration, The problem of sources(web databases) selection has been a primary challenge. This paper proposes a novel approach for web databases selection of internet-scale hidden web data integration. This approach is based on a benefit function that evaluates how much benefit the web database brings to a given status of integration system by integrating it. With the estimated benefit information, web databases selection can be made in an iteratively manner. Preliminary results show that our technique provides an effective mechanism to select and integrate web databases.
منابع مشابه
Adaptive Information Analysis in Higher Education Institutes
Information integration plays an important role in academic environments since it provides a comprehensive view of education data and enables mangers to analyze and evaluate the effectiveness of education processes. However, the problem in the traditional information integration is the lack of personalization due to weak information resource or unavailability of analysis functionality. In this ...
متن کاملAdaptive Information Analysis in Higher Education Institutes
Information integration plays an important role in academic environments since it provides a comprehensive view of education data and enables mangers to analyze and evaluate the effectiveness of education processes. However, the problem in the traditional information integration is the lack of personalization due to weak information resource or unavailability of analysis functionality. In this ...
متن کاملInformation Discovery, Extraction and Integration for the Hidden Web
In this paper, we report our initial investigations on the problems of automatically extracting data objects from a given hidden-web source (i.e., the web site with an HTML search form) and automatically assigning semantics to the extracted data. We also propose some future work to address the problem of information discovery and integration for hidden-web sources.
متن کاملKEYRY: A Keyword-Based Search Engine over Relational Databases Based on a Hidden Markov Model
We propose the demonstration of KEYRY, a tool for translating keyword queries over structured data sources into queries in the native language of the data source. KEYRY does not assume any prior knowledge of the source contents. This allows it to be used in situations where traditional keyword search techniques over structured data that require such a knowledge cannot be applied, i.e., sources ...
متن کاملMetaQuerier over the Deep Web: Shallow Integration across Holistic Sources
The Web has been rapidly “deepened” by myriad searchable databases online. To enable effective access to the “deep Web,” we are building the MetaQuerier– for exploring and integrating databases on the Web. Such metaquerying must tackle integration at a large scale (as sources are proliferating online) and of a dynamic nature (as each query will access different sources). Toward such integration...
متن کامل