A Natural Language Processing for Semantic Web Services

2005 ◽  
Author(s):  
M. Stanojevic ◽  
S. Vranes
Keyword(s):  
Natural Language Processing ◽  
Web Services ◽  
Semantic Web ◽  
Natural Language ◽  
Language Processing ◽  
Semantic Web Services

Web Services Automation

2011 ◽  
pp. 239-258
Author(s):  
L. Koumakis ◽  
V. Moustakis ◽  
G. Potamias
Keyword(s):  
Web Services ◽  
Semantic Web ◽  
Natural Language ◽  
Web Service ◽  
Language Processing ◽  
Academic Research ◽  
Semantic Web Services ◽  
Additional Information ◽  
Basic Language ◽  
Automatic Composition

Web services revolutionize use of information systems and to some extent academic research. Put it simply, web services come in small pieces of software, which can be put together to address complex tasks over heterogeneous and distribute data sources. In doing so, services represent an effective solution to isolated software integration. Web services are based on standards; HTML is used as communication protocol layer and XML is used as basic language. Web service composition and orchestration is not trivial. Representation of a human inquiry to an efficient orchestra of services must pass from a translation step, made possible via the use of metadata, which carry real world semantics. To this end, semantic web services denote intention to provide additional information about, and to facilitate, individual service integration and automatic composition. The chapter presents a concrete methodology to support the use of automatic composition of complex semantic web services with natural language. Web service semantics are linked with natural language processing capabilities to empower users to write descriptions in their own language and in the sequel to have these descriptions mapped automatically into a well tuned web service orchestra.

On the Generation of E-Learning Resources Using Business Process, Natural Language Processing, and Web Services

2021 ◽  
Vol 23 (2) ◽  
pp. 40-44
Author(s):  
Olivia Fragoso-Diaz ◽  
Vitervo Lopez Caballero ◽  
Juan Carlos Rojas-Perez ◽  
Rene Santaolaya-Salgado ◽  
Juan Gabriel Gonzalez-Serna
Keyword(s):  
Natural Language Processing ◽  
Web Services ◽  
Natural Language ◽  
Language Processing ◽  
Business Process ◽  
Learning Resources ◽  
E Learning

scholarly journals Ontology evolution: a process-centric survey

2013 ◽  
Vol 30 (1) ◽  
pp. 45-75 ◽  
Author(s):  
Fouad Zablith ◽  
Grigoris Antoniou ◽  
Mathieu d'Aquin ◽  
Giorgos Flouris ◽  
Haridimos Kondylakis ◽  
...  
Keyword(s):  
Natural Language Processing ◽  
Information Systems ◽  
Semantic Web ◽  
Natural Language ◽  
Language Processing ◽  
Process Model ◽  
Ontology Evolution ◽  
Depth Analysis ◽  
Future Challenges ◽  
Industrial Adoption

AbstractOntology evolution aims at maintaining an ontology up to date with respect to changes in the domain that it models or novel requirements of information systems that it enables. The recent industrial adoption of Semantic Web techniques, which rely on ontologies, has led to the increased importance of the ontology evolution research. Typical approaches to ontology evolution are designed as multiple-stage processes combining techniques from a variety of fields (e.g., natural language processing and reasoning). However, the few existing surveys on this topic lack an in-depth analysis of the various stages of the ontology evolution process. This survey extends the literature by adopting a process-centric view of ontology evolution. Accordingly, we first provide an overall process model synthesized from an overview of the existing models in the literature. Then we survey the major approaches to each of the steps in this process and conclude on future challenges for techniques aiming to solve that particular stage.

Natural Language Processing Agents and Document Clustering in Knowledge Management

2011 ◽  
pp. 476-498 ◽  
Author(s):  
Steve Legrand ◽  
JRG Pulido
Keyword(s):  
Knowledge Management ◽  
Natural Language Processing ◽  
Semantic Web ◽  
Natural Language ◽  
Language Processing ◽  
Information Presentation ◽  
Processing Methods ◽  
Standard Format ◽  
Web Technologies ◽  
The Web

While HTML provides the Web with a standard format for information presentation, XML has been made a standard for information structuring on the Web. The mission of the Semantic Web now is to provide meaning to the Web. Apart from building on the existing Web technologies, we need other tools from other areas of science to do that. This chapter shows how natural language processing methods and technologies, together with ontologies and a neural algorithm, can be used to help in the task of adding meaning to the Web, thus making the Web a better platform for knowledge management in general.

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