OntoAQ: Ontology-Based Flexible Querying System for Farmers

This chapter discusses the uncertainties associated with sediment data, which are a commonly neglected obstacle in collaborative seabed-habitat mapping, complicating harmonization. Standardization of these data, although an important prerequisite in the harmonization of surrogate-based habitat maps, is not enough to achieve full map uniformity. Through time and between research institutes, data have been acquired, described, analyzed, and classified using a range of methods and protocols. The effects of differing error margins and indicative meanings remain hidden for most end users in environmental science and policy. The interpolation required to generate full-coverage data products from sedimentological point data creates additional uncertainty. Finally, small-scale habitat heterogeneity not captured by even the densest sampling places limits on the usability of sediment-based surrogates as well. Despite these limitations, there is much room for improvement when it comes to using surrogates in habitat mapping. Multiple visualizations generated from merged digital sediment datasets with flexible querying protocols are especially promising.

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Evaluation of Quantified Statements Using Gradual Numbers

Handbook of Research on Fuzzy Information Processing in Databases ◽

10.4018/978-1-59904-853-6.ch010 ◽

2011 ◽

pp. 246-269 ◽

Cited By ~ 7

Author(s):

Ludovic Liétard ◽

Daniel Rocacher

Keyword(s):

Decision Making ◽

Expert Systems ◽

Set Theory ◽

Fuzzy Set ◽

Fuzzy Set Theory ◽

Relational Databases ◽

Fuzzy Numbers ◽

Theoretical Background ◽

Definition Of ◽

Flexible Querying

This chapter is devoted to the evaluation of quantified statements which can be found in many applications as decision making, expert systems, or flexible querying of relational databases using fuzzy set theory. Its contribution is to introduce the main techniques to evaluate such statements and to propose a new theoretical background for the evaluation of quantified statements of type “Q X are A” and “Q B X are A.” In this context, quantified statements are interpreted using an arithmetic on gradual numbers from Nf, Zf, and Qf. It is shown that the context of fuzzy numbers provides a framework to unify previous approaches and can be the base for the definition of new approaches.

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Further Aspects of Triangular Norms - A Study Inspired by Flexible Querying

Intelligent Counting Under Information Imprecision - Studies in Fuzziness and Soft Computing ◽

10.1007/978-3-642-34685-9_3 ◽

2013 ◽

pp. 71-91

Author(s):

Maciej Wygralak

Keyword(s):

Triangular Norms ◽

Flexible Querying

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A Fuzzy Ontology-Based Platform for Flexible Querying

International Journal of Service Science Management Engineering and Technology ◽

10.4018/ijssmet.2015070102 ◽

2015 ◽

Vol 6 (3) ◽

pp. 12-26 ◽

Cited By ~ 13

Author(s):

Amira Aloui ◽

Amel Grissa Touzi

Keyword(s):

Fuzzy Logic ◽

Initial Data ◽

Data Retrieval ◽

Conceptual Clustering ◽

Large Databases ◽

Flexible Queries ◽

Definition Of ◽

Preliminary Classification ◽

Flexible Querying

Flexible queries have recently received increasing attention to better characterize the data retrieval. In this paper, a new flexible querying approach using ontological knowledge is proposed. This approach presents an FCA based methodology for building ontologies from scratch then interrogating them intelligently through the fusion of conceptual clustering, fuzzy logic, and FCA. The main contribution is the definition of the ontology rom classes resulting from a preliminary classification of the data and not the initial data. The data cleansing provides a simple ontology and an optimal research of relevant data taking into account the preferences cited by the user in his initial interrogation. To realize this approach, a new platform called “FO-FQ Tab plug-in” is implemented. This plug-in is integrated within the ontology editor Protégé to allow building fuzzy ontologies from large databases and querying them intelligently

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