scholarly journals Combining a REST Lexical Analysis Web Service with SPARQL for Mashup Semantic Annotation from Text

2014 ◽  
pp. 424-428 ◽  
Author(s):  
Eetu Mäkelä
Keyword(s):  
Web Service ◽  
Semantic Annotation ◽  
Lexical Analysis

DHT Facilitated Web Service Discovery Incorporating Semantic Annotation

2004 ◽  
pp. 363-370 ◽  
Author(s):  
Shoujian Yu ◽  
Jianwei Liu ◽  
Jiajin Le
Keyword(s):  
Web Service ◽  
Service Discovery ◽  
Semantic Annotation ◽  
Web Service Discovery

Automatic categorization of Web service elements

2018 ◽  
Vol 14 (2) ◽  
pp. 233-258 ◽  
Author(s):  
Efthimia Mavridou ◽  
Konstantinos M. Giannoutakis ◽  
Dionysios Kehagias ◽  
Dimitrios Tzovaras ◽  
George Hassapis
Keyword(s):  
Web Services ◽  
Web Service ◽  
Semantic Annotation ◽  
Third Party ◽  
Systematic Evaluation ◽  
Evaluation Procedure ◽  
Data Set ◽  
Content Type ◽  
Semantic Categorization ◽  
Description File

Purpose Semantic categorization of Web services comprises a fundamental requirement for enabling more efficient and accurate search and discovery of services in the semantic Web era. However, to efficiently deal with the growing presence of Web services, more automated mechanisms are required. This paper aims to introduce an automatic Web service categorization mechanism, by exploiting various techniques that aim to increase the overall prediction accuracy. Design/methodology/approach The paper proposes the use of Error Correcting Output Codes on top of a Logistic Model Trees-based classifier, in conjunction with a data pre-processing technique that reduces the original feature-space dimension without affecting data integrity. The proposed technique is generalized so as to adhere to all Web services with a description file. A semantic matchmaking scheme is also proposed for enabling the semantic annotation of the input and output parameters of each operation. Findings The proposed Web service categorization framework was tested with the OWLS-TC v4.0, as well as a synthetic data set with a systematic evaluation procedure that enables comparison with well-known approaches. After conducting exhaustive evaluation experiments, categorization efficiency in terms of accuracy, precision, recall and F-measure was measured. The presented Web service categorization framework outperformed the other benchmark techniques, which comprise different variations of it and also third-party implementations. Originality/value The proposed three-level categorization approach is a significant contribution to the Web service community, as it allows the automatic semantic categorization of all functional elements of Web services that are equipped with a service description file.

Semantic Annotation for Web Service Processes in Pervasive Computing

2009 ◽  
pp. 289-311 ◽  
Author(s):  
Ivan Di Pietro ◽  
Francesco Pagliarecci ◽  
Luca Spalazzi
Keyword(s):  
Web Service ◽  
Pervasive Computing ◽  
Semantic Annotation

A Web Replay Method for Highlights in Soccer Videos

2013 ◽  
Vol 321-324 ◽  
pp. 1209-1212
Author(s):  
Chong Wang ◽  
Yi Xin Ding ◽  
Zheng Yang Ding
Keyword(s):  
Web Service ◽  
Semantic Annotation ◽  
Experimental Results ◽  
Color Model ◽  
Heuristic Rules ◽  
Fine Grained ◽  
Speed Accuracy

A web replay method is proposed in this paper for highlights in soccer videos. Firstly, automatically detection and fine-grained semantic annotation are introduced for soccer highlights. Secondly, an adaptive grass color model and several heuristic rules are used to improve the performance of the method. Finally, a database for highlights is established for web service. Experimental results show that the proposed method has excellent analyzing speed, accuracy and practicability.

The Research on Key Technologies of IOT in Agriculture Based on Semantic SOA

2014 ◽  
Vol 519-520 ◽  
pp. 1542-1545
Author(s):  
Zhen Zhao
Keyword(s):  
Environmental Factors ◽  
Web Service ◽  
Agricultural Production ◽  
Service Discovery ◽  
Field Data ◽  
Semantic Annotation ◽  
Growth Conditions ◽  
System Framework ◽  
Key Technologies ◽  
Soil Environmental Factors

Agricultural IOT is needed to regulate and improve the crops growth conditions, to monitor some of soil environmental factors. This article designs the agriculture IOT framework based on semantic SOA, proposes to use semantic SOA techniques to increase the discovery efficiency of service of agricultural IOT. It also introduces some related key technologies in semantic annotation of Web Service and the semantic issuing of annotation results using the SAWSDL standards. This system framework support remote real-time monitoring of the field data of agricultural production, and the efficient, accurate service discovery and service invoking.

A Distributed Patient Identification Protocol Based on Control Numbers with Semantic Annotation

2011 ◽  
pp. 666-681 ◽  
Author(s):  
Marco Eichelberg
Keyword(s):  
Health Care ◽  
Web Service ◽  
Semantic Annotation ◽  
Patient Records ◽  
Electronic Patient Records ◽  
Patient Identification ◽  
Technical Requirements ◽  
International Setting ◽  
Cryptographic Techniques ◽  
Health Care Records

One important problem of information systems in health care is the localisation and access to electronic patient records across health care institute boundaries, especially in an international setting. The complexity of the problem is increased by the absence of a globally accepted standard for electronic health care records, the absence of unique patient identifiers in most countries, and the strict data protection requirements that apply to clinical documents. This article describes a protocol that allows the identification of locations of patient records for a given patient and provides access to these records, if granted, under consideration of the legal and technical requirements. The protocol combines cryptographic techniques with semantic annotation and mediation and presents a simple Web-service-based access to clinical documents.

A MFI4OR-based Approach of Semantic Annotation for Web Service

2010 ◽  
pp. 615-620
Author(s):  
Cheng Zeng ◽  
Keqing He ◽  
Bing Li ◽  
Chong Wang ◽  
Yangfan He
Keyword(s):  
Web Service ◽  
Semantic Annotation

Web Service Matching Based on Natural Semantic Annotation

2013 ◽  
Vol 12 (4) ◽  
pp. 857-861 ◽  
Author(s):  
Xia Jiang ◽  
Yingming Li
Keyword(s):  
Web Service ◽  
Semantic Annotation ◽  
Service Matching
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