@conference {16462,
	title = {Exploiting multiple paths to express scientific queries},
	booktitle = {16th International Conference on Scientific and Statistical Database Management, 2004. Proceedings},
	year = {2004},
	month = {2004/06/21/23},
	pages = {357 - 360},
	publisher = {IEEE},
	organization = {IEEE},
	abstract = {The purpose of this demonstration is to present the main features of the BioNavigation system. Scientific data collection needed in various stages of scientific discovery is typically performed manually. For each scientific object of interest (e.g., a gene, a sequence), scientists query a succession of Web resources following links between retrieved entries. Each of the steps provides part of the intended characterization of the scientific object. This process is sometimes partially supported by hard-coded scripts or complex queries that will be evaluated by a mediation-based data integration system or against a data warehouse. These approaches fail in guiding the scientists during the collection process. In contrast, the BioNavigation approach presented in the paper provides the scientists with information on the available alternative resources, their provenance, and the costs of data collection. The BioNavigation system enhances a mediation-based integration system and provides scientists with support for the following: to ask queries at a high conceptual level; to visualize the multiple alternative resources that may be exploited to execute their data collection queries; to choose the final execution path to evaluate their queries.},
	keywords = {access protocols, biology computing, BioNavigation system, complex queries, Costs, Data analysis, data handling, Data visualization, data warehouse, Data warehouses, Databases, diseases, distributed databases, hard-coded scripts, information resources, Information retrieval, mediation-based data integration system, multiple paths, query evaluation, Query processing, scientific data collection, scientific discovery, scientific information, scientific information systems, scientific object of interest, scientific queries, sequences, Web resources},
	isbn = {0-7695-2146-0},
	doi = {10.1109/SSDM.2004.1311231},
	author = {Lacroix,Z. and Moths,T. and Parekh,K. and Raschid, Louiqa and Vidal,M. -E}
}
@conference {16779,
	title = {Integrating distributed scientific data sources with MOCHA and XRoaster},
	booktitle = {Thirteenth International Conference on Scientific and Statistical Database Management, 2001. SSDBM 2001. Proceedings},
	year = {2001},
	month = {2001///},
	pages = {263 - 266},
	publisher = {IEEE},
	organization = {IEEE},
	abstract = {MOCHA is a novel middleware system for integrating distributed data sources that we have developed at the University of Maryland. MOCHA is based on the idea that the code that implements user-defined types and functions should be automatically deployed to remote sites by the middleware system itself. To this end, we have developed an XML-based framework to specify metadata about data sites, data sets, and user-defined types and functions. XRoaster is a graphical tool that we have developed to help the user create all the XML metadata elements to be used in MOCHA},
	keywords = {client-server systems, data sets, data sites, Databases, Distributed computing, distributed databases, distributed scientific data source integration, Educational institutions, graphical tool, hypermedia markup languages, IP networks, java, Large-scale systems, Maintenance engineering, meta data, metadata, Middleware, middleware system, MOCHA, Query processing, remote sites, scientific information systems, user-defined types, visual programming, XML, XML metadata elements, XML-based framework, XRoaster},
	isbn = {0-7695-1218-6},
	doi = {10.1109/SSDM.2001.938560},
	author = {Rodriguez-Martinez,M. and Roussopoulos, Nick and McGann,J. M and Kelley,S. and Mokwa,J. and White,B. and Jala,J.}
}
@conference {16466,
	title = {Optimized seamless integration of biomolecular data},
	booktitle = {Proceedings of the IEEE 2nd International Symposium on Bioinformatics and Bioengineering Conference, 2001},
	year = {2001},
	month = {2001/11/04/6},
	pages = {23 - 32},
	publisher = {IEEE},
	organization = {IEEE},
	abstract = {Today, scientific data is inevitably digitized, stored in a variety of heterogeneous formats, and is accessible over the Internet. Scientists need to access an integrated view of multiple remote or local heterogeneous data sources. They then integrate the results of complex queries and apply further analysis and visualization to support the task of scientific discovery. Building a digital library for scientific discovery requires accessing and manipulating data extracted from flat files or databases, documents retrieved from the Web, as well as data that is locally materialized in warehouses or is generated by software. We consider several tasks to provide optimized and seamless integration of biomolecular data. Challenges to be addressed include capturing and representing source capabilities; developing a methodology to acquire and represent metadata about source contents and access costs; and decision support to select sources and capabilities using cost based and semantic knowledge, and generating low cost query evaluation plans},
	keywords = {analysis, Bioinformatics, biology computing, cost based knowledge, Costs, Data analysis, data mining, data visualisation, Data visualization, Data warehouses, decision support, digital library, Educational institutions, information resources, Internet, low cost query evaluation plans, Mediation, meta data, metadata, molecular biophysics, multiple local heterogeneous data sources, multiple remote heterogeneous data sources, optimized seamless biomolecular data integration, scientific discovery, scientific information systems, semantic knowledge, software libraries, visual databases, Visualization},
	isbn = {0-7695-1423-5},
	doi = {10.1109/BIBE.2001.974408},
	author = {Eckman,B. A and Lacroix,Z. and Raschid, Louiqa}
}
