Semantic Framework for Free-Form Search of Grid Resources

Gupta, Chaitali; Govindaraju, Madhusudhan

doi:10.1109/escience.2008.170

Cited by 2 publications

(2 citation statements)

References 5 publications

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“…Sometimes, the process of completing these web forms can be complex [7]. A free-form query mechanism has been proposed where vocabulary is restricted to the keywords commonly used in the grid domain with a tailored matching algorithm [8]. Sometimes web forms have reduced user experience and are inefficient due to page refresh each time the form is submitted.…”

Section: Related Workmentioning

confidence: 99%

A Comparison of Multiple Selections Using Multiple Checkbox Selections and List Boxes

Leithe

Sandnes

2021

Communications in Computer and Information Science

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Website forms are commonly used for collecting information from users. Users choose one or more alternatives from a list. However, data input can be time-consuming. We therefore set out to explore which multiple selection method is the fastest and perceived most positively; the ones relying on multiple checkboxes or list boxes. An experiment with 24 participants was conducted involving 20 multiple selection tasks. The result shows that the mean response time to select three options in each question of multiple checkboxes was faster and more positively perceived than multiple list boxes. The results thus suggest that web developers should use multiple checkboxes instead of multiple list boxes.

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Section: Related Workmentioning

confidence: 99%

A Comparison of Multiple Selections Using Multiple Checkbox Selections and List Boxes

Leithe

Sandnes

2021

Communications in Computer and Information Science

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“…The specific algorithms for semantic matching has been studied extensively by the Web information retrieval and database community including related work on just semantic matching of queries and search terms for grid by two of our co-authors [2], [3]. This paper is focused on the design of the indexing framework using MapReduce [4], which can scale, and can be used along with a semantic matching module.…”

Section: Introductionmentioning

confidence: 99%

Scalable and Distributed Processing of Scientific XML Data

Dede

Fadika

Gupta

et al. 2011

2011 IEEE/ACM 12th International Conference on Grid Computing

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Abstract-A seamless and intuitive search capability for the vast amount of datasets generated by scientific experiments is critical to ensure effective use of such data by domain specific scientists. Currently, searches on enormous XML datasets is done manually via custom scripts or by using hard-to-customize queries developed by experts in complex and disparate XML query languages. Such approaches however do not provide acceptable performance for large-scale data since they are not based on a scalable distributed solution. Furthermore, it has been shown that databases are not optimized for queries on XML data generated by scientific experiments, as term kinship, range based queries, and constraints such as conjunction and negation need to be taken into account. There exists a critical need for an easy-to-use and scalable framework, specialized for scientific data, that provides natural-language-like syntax along with accurate results. As most existing search tools are designed for exact string matching, which is not adequate for scientific needs, we believe that such a framework will enhance the productivity and quality of scientific research by the data reduction capabilities it can provide. This paper presents how the MapReduce model should be used in XML metadata indexing for scientific datasets, specifically TeraGrid Information Services and the NeXus datasets generated by the Spallation Neutron Source (SNS) scientists. We present an indexing structure that scales well for large-scale MapReduce processing. We present performance results using two MapReduce implementations, Apache Hadoop and LEMO-MR, to emphasize the flexibility and adaptability of our framework in different MapReduce environments.

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Semantic Framework for Free-Form Search of Grid Resources

Cited by 2 publications

References 5 publications

A Comparison of Multiple Selections Using Multiple Checkbox Selections and List Boxes

A Comparison of Multiple Selections Using Multiple Checkbox Selections and List Boxes

Scalable and Distributed Processing of Scientific XML Data

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