Extensions to query languages for graph traversal problems

Mannino, Michael V.

doi:10.1109/69.60798

Cited by 25 publications

(4 citation statements)

References 25 publications

(7 reference statements)

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“…The query paths are constructed from the semantic roles of objects and entities. Data manipulation in the system proposed in [37] involves finding a path from a set of starting nodes through possible intermediate nodes and edges to a set of terminating nodes. In Graph Model, entities are conceptually conceived of as nodes and link semantic types as edges in a graph.…”

Section: Concept-based Query Languagesmentioning

confidence: 99%

Development of a Conceptual Query Language: Adopting the User-Centered Methodology

Owei¹

2003

The Computer Journal

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The pervasiveness of end-user computing tools in the home and in workplaces, as well as the linkage of PCs into networks, have led to a convergence of end-user computing and corporate computing. As a result of this phenomenon, and because the productivity of end-users with these tools depends on how well suited the tools are to users, the issue of the suitability of computing tools for end-users is a valid concern for organizations. In the area of databases (DBs), the concern is that of ensuring the suitability of ad hoc querying and reporting tools for end-users. The significance of this concern lies in the realization that organizations and DB users are depending on more and more complex DBs, for example those being placed on the Web. DB researchers therefore argue for the adoption of the user-centered approach in developing these tools, to ensure suitability. The adoption of this approach in the development of the Conceptual Query Language (CQL) is reported in this paper. Also discussed is the series of experimental tests conducted to ascertain the impact of the approach on the usability of CQL. The test results suggest an improvement in user performance with and perception of CQL as a result of user participation in its development process.

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Section: Concept-based Query Languagesmentioning

confidence: 99%

Development of a Conceptual Query Language: Adopting the User-Centered Methodology

Owei¹

2003

The Computer Journal

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“…The use of graphical interfaces is also emphasized by Mannino and Shapiro(1990). They argue that database systems (DBSs) can provide improved services to applications with regards to the manipulation of DB instances structured as graphs.…”

Section: Related Research Related Research Related Research Related R...mentioning

confidence: 99%

A Paradigm For Natural Language Explanation Of Database Queries

Owei

Higa

1994

Journal of Database Management

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“…First they shift the burden of analysis to the database management system resulting in improved productivity and performance [25] including easily integrating them with application software. Second database operators enable execution of complex queries that are useful for prioritizing candidate biomarkers.…”

Section: Introductionmentioning

confidence: 99%

Relational operators for prioritizing candidate biomarkers in high-throughput differential expression data

Onsongo

Xie²,

Griffin³

et al. 2010

Proceedings of the First ACM International Conference on Bioinformatics and Computational Biology

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Recent developments in high-throughput proteomics technologies have made it possible to detect and identify low abundance proteins. These technologies provide a new window through which proteomes can be analyzed. Despite holding great promise, the contribution of mass spectrometry based proteomics in identifying novel diagnostic biomarkers has been disappointing. This failure has, in part, been attributed to the lack of effective strategies for determining candidate biomarkers that justify more expensive and timeconsuming validation studies. An approach that bridges the gap between unbiased experimental paradigm emphasizing comprehensive characterizations of proteins and a candidatedriven paradigm would overcome this limitation [38]. To this end, we have developed database operators that extend the database management systems to analyze highthroughput proteomics and genomics data. By analyzing differentially expressed genes and proteins using pathway databases, these operators take advantage of established expert domain knowledge in pathway annotation to prioritize candidate biomarkers. They provide a systematic way of bridging the gap between unbiased experimental paradigm and candidate-driven paradigm. To test the operators, we analyzed a dataset of salivary proteins differentially expressed between pre-malignant and malignant oral lesions. Six proteins are identified as candidate biomarkers worth of validation studies. A literature search reveals these high priority * Accompanying software and supplementary data available at candidate biomarkers interact with proteins implicated in cancer development highlighting their potential utility as biomarkers demonstrating the effectiveness of our operators. The developed operators will help overcome one of the main challenges of high-throughput computational techniques; provide a systematic way of bridging the gap between unbiased data driven approach and hypothesis driven approach to prioritize candidate biomarkers worth of more expensive and time consuming validation studies.

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Extensions to query languages for graph traversal problems

Cited by 25 publications

References 25 publications

Development of a Conceptual Query Language: Adopting the User-Centered Methodology

Development of a Conceptual Query Language: Adopting the User-Centered Methodology

A Paradigm For Natural Language Explanation Of Database Queries

Relational operators for prioritizing candidate biomarkers in high-throughput differential expression data

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