Strategies and Methods for Ontology Alignment

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.

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):  
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):  
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.


2020 ◽  
pp. 323
Author(s):  
Nour Elislam Djedaa ◽  
Abderrezak Moulay Lakhdar

2007 ◽  
Vol 7 (5-6) ◽  
pp. 53-60
Author(s):  
D. Inman ◽  
D. Simidchiev ◽  
P. Jeffrey

This paper examines the use of influence diagrams (IDs) in water demand management (WDM) strategy planning with the specific objective of exploring how IDs can be used in developing computer-based decision support tools (DSTs) to complement and support existing WDM decision processes. We report the results of an expert consultation carried out in collaboration with water industry specialists in Sofia, Bulgaria. The elicited information is presented as influence diagrams and the discussion looks at their usefulness in WDM strategy design and the specification of suitable modelling techniques. The paper concludes that IDs themselves are useful in developing model structures for use in evidence-based reasoning models such as Bayesian Networks, and this is in keeping with the objectives set out in the introduction of integrating DSTs into existing decision processes. The paper will be of interest to modellers, decision-makers and scientists involved in designing tools to support resource conservation strategy implementation.


2021 ◽  
Vol 167 ◽  
pp. 112313
Author(s):  
Zhaoyang Yang ◽  
Zhi Chen ◽  
Kenneth Lee ◽  
Edward Owens ◽  
Michel C. Boufadel ◽  
...  

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