Applying Semantic Web Technologies to Ontology Alignment

Author(s):  
Hayden Wimmer ◽  
Victoria Yoon ◽  
Roy Rada

Ontologies are the backbone of intelligent computing on the World Wide Web but also crucial in many decision support situations. Many sophisticated tools have been developed to support working with ontologies, including prominently exploiting the vast array of existing ontologies. A system called ALIGN is developed that demonstrates how to use freely available tools to facilitate ontology alignment. First two ontologies are built with the ontology editor Protégé and represented in OWL. ALIGN then accesses these ontologies via Java’s JENA framework and SPARQL queries. The efficacy of the ALIGN prototype is demonstrated on a drug-drug interaction problem. The prototype could readily be applied to other domains or be incorporated into decision support tools.

Author(s):  
Hayden Wimmer ◽  
Victoria Yoon ◽  
Roy Rada

The concept of ontologies has been around for millennia and spans many domains and disciplines. Ontologies are a powerful concept when applied to intelligent computing. Ontologies are the backbone of intelligent computing on the World Wide Web and crucial in many decision-support situations. Many sophisticated tools have been developed to support working with ontologies, including prominently exploiting the vast array of existing ontologies. Systems have been developed to automatically generate, match, and integrate ontologies in a process called ontology alignment. This chapter extends the current literature by presenting a system called ALIGN, which demonstrates how to use freely available tools to develop and facilitate ontology alignment. The first two ontologies are built with the ontology editor Protégé and represented in OWL. ALIGN then accesses these ontologies via Java's JENA framework and SPARQL queries. The efficacy of the ALIGN prototype is demonstrated on a drug-drug interaction problem. The prototype could readily be applied to other domains or be incorporated into decision-support tools.


2015 ◽  
Vol 09 (03) ◽  
pp. 333-352 ◽  
Author(s):  
Krishna Sapkota ◽  
Pathmeswaran Raju ◽  
Will Byrne ◽  
Craig Chapman

One of the sustainable solutions to the depleting fossils fuels is bioenergy, which is a renewable energy generated from biomass, and biofuel is a hydrocarbon fuel that is produced from biomass. Recently, bioenergy and biofuel projects are encouraged and supported by many governments and organizations in various ways such as providing incentives, technical supports, information, and decision support tools. The economic model is one of the decision support tools, which helps to estimate the costs and earnings involved in a project. It is constructed with various elements such as concepts, relations, logics, constants, and equations. In current economic models, all the elements are hard-coded into some programming code, which makes the model less reusable and extendable. To address the issue, we present an ontology-based economic model in this paper. In particular, we have leveraged the Semantic Web technologies to represent the knowledge about the bioenergy and biofuel economics and inferred the equations and other values required for economic calculations. The case study has been carried out in two of the INTERREG Projects and found promising results.


Web Services ◽  
2019 ◽  
pp. 1068-1076
Author(s):  
Vudattu Kiran Kumar

The World Wide Web (WWW) is global information medium, where users can read and write using computers over internet. Web is one of the services available on internet. The Web was created in 1989 by Sir Tim Berners-Lee. Since then a great refinement has done in the web usage and development of its applications. Semantic Web Technologies enable machines to interpret data published in a machine-interpretable form on the web. Semantic web is not a separate web it is an extension to the current web with additional semantics. Semantic technologies play a crucial role to provide data understandable to machines. To achieve machine understandable, we should add semantics to existing websites. With additional semantics, we can achieve next level web where knowledge repositories are available for better understanding of web data. This facilitates better search, accurate filtering and intelligent retrieval of data. This paper discusses about the Semantic Web and languages involved in describing documents in machine understandable format.


Author(s):  
Vudattu Kiran Kumar

The World Wide Web (WWW) is global information medium, where users can read and write using computers over internet. Web is one of the services available on internet. The Web was created in 1989 by Sir Tim Berners-Lee. Since then a great refinement has done in the web usage and development of its applications. Semantic Web Technologies enable machines to interpret data published in a machine-interpretable form on the web. Semantic web is not a separate web it is an extension to the current web with additional semantics. Semantic technologies play a crucial role to provide data understandable to machines. To achieve machine understandable, we should add semantics to existing websites. With additional semantics, we can achieve next level web where knowledge repositories are available for better understanding of web data. This facilitates better search, accurate filtering and intelligent retrieval of data. This paper discusses about the Semantic Web and languages involved in describing documents in machine understandable format.


Author(s):  
Jerry B. Weinberg ◽  
Steven P. Klein ◽  
Robert Klepper ◽  
Bernard Waxman ◽  
Xudong Yu ◽  
...  

Effective physicians must listen to their patient’s concerns, take accurate and complete medical histories, and earn patient trust and confidence. Physicians must help patients better understand their problems, and clearly communicate treatment recommendations and medical advice. Communication is a cornerstone of medical practice, while poor communication is a major cause of misdiagnosis, poor compliance of therapy, and malpractice claims (Mechanic, 1998). Telecommunication technology has created new lines of communication for patient-physician interaction. Most recently, the global computer network of the Internet has provided electronic mail (email) and the World Wide Web (Web). Email allows for a direct one-to-one communication, and the Web is used mainly as a broadcast medium for dissemination of information in a one-to-many form. Just like the Internet’s predecessor, the telephone, application and research must be done to determine how this new technology can best be used to enhance the patient-physician relationship (Mandl, 1998). The Internet provides an unprecedented level of near instantaneous lines of intercommunication. Web browser technologies provide an interface to the Internet that makes this communication accessible even to novice computer users. The combination of communication and interface technology is an opportunity to explore ways of improving patient healthcare by breaking down current barriers to quality healthcare management. Web-based communications enable a continuous interaction between physician and patients where patients can freely enter data and concerns, and physicians can address these asynchronously. With the resulting additional patient data, physicians get a more complete clinical picture, and, with the aid of trending and decision support tools, the computer can help organize and present data in meaningful ways. Patients gain a sense of partnership in their healthcare through the continuous reporting of data and more immediate feedback. This chapter discusses the design and implementation of a working healthcare management system called “Hypertension Decision Aide” or “HDA”. HDA is a World Wide Web system that provides chronic hypertension patients with data reporting, monitoring, decision support tools, and educational material. HDA provides physicians with the ability to monitor a patient’s progress between visits, view summary data, and review suggestions from decision support tools. Issues of system design, data integrity, patient confidentiality, and security will be discussed in the context of HDA.


Author(s):  
Daniel Fernández-Álvarez ◽  
José Emilio Labra Gayo ◽  
Daniel Gayo-Avello ◽  
Patricia Ordoñez de Pablos

The proliferation of large databases with potentially repeated entities across the World Wide Web drives into a generalized interest to find methods to detect duplicated entries. The heterogeneity of the data cause that generalist approaches may produce a poor performance in scenarios with distinguishing features. In this paper, we analyze the particularities of music related-databases and we describe Musical Entities Reconciliation Architecture (MERA). MERA consists of an architecture to match entries of two sources, allowing the use of extra support sources to improve the results. It makes use of semantic web technologies and it is able to adapt the matching process to the nature of each field in each database. We have implemented a prototype of MERA and compared it with a well-known music-specialized search engine. Our prototype outperforms the selected baseline in terms of accuracy.


Author(s):  
David Sundaram ◽  
Victor Portougal

The amount of information that decision makers have to process has been increasing at a tremendous pace. A few years ago it was suggested that information in the world was doubling every 16 months. The very volume has prevented this information from being used effectively. Another problem that compounds the situation is the fact that the information is neither easily accessible nor available in an integrated manner. This has led to the oft-quoted comment that though computers have promised a fount of wisdom they have swamped us with a flood of data. Decision Support Systems (DSS) and related decision support tools like data warehousing and data mining have been used to glean actionable information and nuggets from this flood of data.


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