Semantic Web Service matchmakers: state of the art and challenges

Dong, Hai; Hussain, Farookh Khadeer; Chang, Elizabeth

doi:10.1002/cpe.2886

Cited by 37 publications

(21 citation statements)

References 63 publications

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“…To hold rich semantics, MNIS should index and organize web resources in the structure of multiple semantic dimensions and multiple semantic granularities: (1). Multiple semantic granularities denote the multi-layered of MNIS.…”

Section: Definitionmentioning

confidence: 99%

ExNa: an efficient search pattern for semantic search engines

Wei

Zeng

2016

Concurrency and Computation

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SUMMARYRecent years have witnessed the emergence of new types of semantic search engines which attempt to overcome the defects of the traditional search engines by providing different search patterns. A big question here is that in order to achieve the semantic search engines (SSEs), what type(s) of search patterns should SSEs support? To help seek one of the many possible answers, in this paper we start with classifying and comparing current search engines, particularly from the perspective of search patterns which consist of index structure, user profiles, and interaction mechanism. We then present a novel search pattern named ExNa by defining its model and basic operations in detail. To validate the ExNa search pattern, we develop a prototype search engine named KNOWLE, and the experimental results show that KNOWLE equipped with ExNa can improve both the efficiency of the entire system when compared with search engines of other search patterns.

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Section: Definitionmentioning

confidence: 99%

ExNa: an efficient search pattern for semantic search engines

Wei

Zeng

2016

Concurrency and Computation

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“…Technically, on-the-fly UI creation can be done by dynamic mashup of visualization widgets. Visualization module is considered as semantic web service [9][10] [11] that provides corresponding piece of widget code to be embedded into a hosting page of a system UI. Integration of semantic web services (as well as their discovery) is organized via semantic API -semantic web based protocol for on-the-fly service-to-service communication ( [15].…”

Section: Ui Adaptation Framework Driven By Semantic Visualizationmentioning

confidence: 99%

Semantic UI: Automated Creation of Semantically Personalized User Interface

Khriyenko

2015

GSTF J Comput

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Abstract-Information representation plays very important role for services and applications to be more attractive for end user. One design cannot fit varied preferences and be suitable for all users. User driven customization of user interface applied for particular application or service do not influence at overall satisfaction of a user and usability of other applications and services. Therefore, in the paper authors tackle challenges of UI personalization on semantic level; and present a framework for adaptive UI development, driven by personal semantic user profile and mashup of reusable adaptive visualization modules. Considering human as a powerful integrated part of IoT environment, UI adaptation and personalization framework has been extended with automated ontology-based UI creation (Semantic Scanner concept). Presented approach of on-the-fly semantically-driven adaptive UI creation facilitates a process of human integration into machine-oriented infrastructure.

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“…OWLS-MX matchmaker [9] used both logic-based reasoning and content-based IR techniques for Web services in OWL-S. iMatcher2 [10] adopted a learning algorithms to find the similarities. Other works, [11], [12], obtained Inputs-Outputs annotations special properties, such as service categorization without considering result filtering (grouping filtering).…”

Section: Related Workmentioning

confidence: 99%

“…The Edge Counting Distance (EC) is implemented over the sub-sumption hierarchy that is computed by the Pellet DL reasoner [10]. An edge exists between two concepts C1 and C2 if )…”

Section: Dhl S S F Dhl S S F (2)mentioning

confidence: 99%

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OWLS-CSM: A Service Profile Based Similarity Framework for Web Service Discovery

Hasan.A.H

Gao

2014

TELKOMNIKA

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This paper presents OWLS-CSM framework, an OWL-S Service Keywords: web service discovery, subsumption hierarchy, OWL-S service profile, taxonomical similarity, milestone IntroductionThe increasing use of web services in cloud environment [1] has raised new vital challenges, such as the finding, the most suitable web services that satisfy users' requirements.Adding annotations to the services in cloud environment, which then called semantic web services (SWS in short) [2], aim at making web services machine understandable and useapparent, utilizing semantic web technologies for Web service annotation and processing. The idea is to provide ontology-based descriptions of web services that could be processed by ontology reasoning tools. Thus, intelligent agents can be able to automatically understand what a web service offers and what it requires in order to execute a task and facilitates selecting the suitable service that meets user's needs.In this paper, we propose an OWL-S Cloud Services Matchmaker (OWLS-CSM) framework, in which user can find the suitable service which meets his needs. In OWLS-CSM, a conceptual model for semantic web services is adopted and WSMO Discovery Framework [3] (WSMO-DF) is modified and utilized for Web service discovery. An OWL-S ontology is built and semantic descriptions are expressed as instances of the profile concept of the OWL-S Service Profile (SP). Semantic descriptions cover functional properties -which can be matched latersuch as inputs, outputs, precondition, effects and nonfunctional properties, in order to capture fast a set of candidate Web services that meet user's needs.This rest of paper is organized as follows. Section 2 presents the related literature includes the conceptions we use in our study. Section 3 introduces the theory of service profile similarities and metrics used in the proposed framework. It shows the three levels of similarities and their algorithms as well. Section 4 introduces the environment that OWLS-CSM works in and analysis the obtained results and compare them with similar previous works in order to show the efficiency of our framework. Finally, there is a section for conclusions and future work.

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Semantic Web Service matchmakers: state of the art and challenges

Cited by 37 publications

References 63 publications

ExNa: an efficient search pattern for semantic search engines

ExNa: an efficient search pattern for semantic search engines

Semantic UI: Automated Creation of Semantically Personalized User Interface

OWLS-CSM: A Service Profile Based Similarity Framework for Web Service Discovery

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