A Bipolar Approach to the Handling of User Preferences in Business Processes Retrieval

Abbaci, Katia; Lemos, Fernando; Hadjali, Allel; Grigori, Daniela; Liétard, Ludovic; Rocacher, Daniel; Bouzeghoub, Mokrane

doi:10.1007/978-3-642-31709-5_41

Cited by 3 publications

(6 citation statements)

References 12 publications

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“…At the same time, the Hard Preference Evaluation module evaluates the satisfaction degrees of hard preferences when each pair of activity is matched (activity preferences) and when a mapping of two graphs is discovered (process preferences). A mapping is discarded whenever it disrespect a hard preference [5,7]. After that, the Soft Preference Evaluation module evaluates the satisfaction degrees of soft preferences.…”

Section: Architecturementioning

confidence: 99%

“…The Structural Similarity Metric calculates the structural similarity degree from the mapping between query and target graphs. Four metrics were implemented: one is the sum of the mapping dissimilarities [2], another is based on linguistic quantifiers [6] and two others are based on bipolar conditions [7].…”

Section: Architecturementioning

confidence: 99%

“…The Preference Satisfaction Metric aggregates the satisfaction degrees of hard and soft preferences. Three methods were implemented: one is the weighted average of satisfaction degrees [5], another is based on linguistic quantifiers [6] and the last one is based on a bipolar condition [7].…”

Section: Architecturementioning

confidence: 99%

“…In previous works, we provided to the service discovery problem a number of contributions based on the PM specification of the service and on quality preferences [2,5,6,7]. These contributions are composed of (i) two heuristics to reduce the execution time of PM matchmaking, which is NP-complete, and (ii) a set of metrics from classic and fuzzy logics to evaluate structural similarity and quality preference satisfaction.…”

Section: Introductionmentioning

confidence: 99%

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A Framework for Service Discovery Based on Structural Similarity and Quality Satisfaction

Lemos¹,

Gater²,

Grigori

et al. 2012

Lecture Notes in Computer Science

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The increasing number of published web services rendered the searching for a service within repositories a critical issue in many application domains. Recent approaches resorted to service structure and to preferences over quality attributes to reduce selectivity rate. In this paper, we present S-MatchMaker, a tool for service discovery based on both service structure and quality preferences. The tool implements several algorithms that can be coupled in different ways to provide a personalized solution for service discovery.

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Section: Architecturementioning

confidence: 99%

Section: Architecturementioning

confidence: 99%

Section: Architecturementioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

A Framework for Service Discovery Based on Structural Similarity and Quality Satisfaction

Lemos¹,

Gater²,

Grigori

et al. 2012

Lecture Notes in Computer Science

Self Cite

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show abstract

“…In the following, we focus the discussion on issues related to the idea of bipolarity in the expression of preference queries, an idea that has been recently developed [10,8,33,1]. The idea of bipolarity refers to the distinction between what is regarded as positive and what is regarded as negative, or in other words, between what is found satisfactory and what is rejected.…”

Section: Introductionmentioning

confidence: 99%

On various forms of bipolarity in flexible querying

Dubois¹,

Prade²

2013

Proceedings of the 8th Conference of the European Society for Fuzzy Logic and Technology

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The paper discusses the modeling of "if possible" in requirements of the form "A and if possible B". We distinguish between two types of understanding: either i) A and B are requirements of the same nature and are viewed as constraints with different levels of priority, or ii) they are of different nature (only A induces constraint(s) and B is only used for breaking ties among items that are equally satisfying A). We indicate that the two views are related to different types of bipolarity, and discuss them in relation with possibilistic logic. The disjunctive dual of the first view ("A or at least B") is then presented in this logical setting. We also briefly mention the idea of an extension of the second view where B may refer both to bonus conditions or malus conditions that may increase or decrease respectively the interest in an item satisfying A.

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Modeling “and if possible” and “or at least”: Different Forms of Bipolarity in Flexible Querying

Dubois

Prade

2013

Flexible Approaches in Data, Information and Knowledge Management

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A Bipolar Approach to the Handling of User Preferences in Business Processes Retrieval

Cited by 3 publications

References 12 publications

A Framework for Service Discovery Based on Structural Similarity and Quality Satisfaction

A Framework for Service Discovery Based on Structural Similarity and Quality Satisfaction

On various forms of bipolarity in flexible querying

Modeling “and if possible” and “or at least”: Different Forms of Bipolarity in Flexible Querying

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