Clinical practice guidelines: A case study of combining OWL-S, OWL, and SWRL

Casteleiro, Mercedes Argüello; Diz, Jose Julio Des

doi:10.1016/j.knosys.2007.11.008

Cited by 39 publications

(14 citation statements)

References 6 publications

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“…The system is built on several open source software packages. We parse the structure of an ontology by OWLAPI 1 , which is a tool for managing OWL ontologies [25]. We transform an ontology into a graph and store it in the Neo4j graph database [26].…”

Section: Implementation and Evaluationmentioning

confidence: 99%

Graph-based approaches to debugging and revision of terminologies in DL-Lite

Zhang

et al. 2016

Knowledge-Based Systems

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In this paper, we deal with the problem of debugging and revision of incoherent terminologies. Ontology debugging aims to provide the explanation of the causes of incoherence and ontology revision aims to eliminate the incoherence. For this purpose, we propose the graph-based approaches to deal with the debugging and revision of terminologies for a family of lightweight ontology languages, DL-Lite. First of all, we transform DL-Lite ontologies to graphs. To deal with the problem of ontology debugging, we calculate the minimal incoherence-preserving subsets (MIPS) of an ontology by computing the minimal incoherence-preserving path-pairs (MIPP) based on the transformed graph. To deal with the problem of ontology revision, we propose the notion of revision state which separates the terminology of an ontology into two disjoint sets: the set of wanted axioms and the set of unwanted axioms. We further define a revision operator based on the revision state. Afterwards, two revision algorithms are proposed to instantiate the revision operator: one is based on a scoring function, and the other one is based on a hitting set tree. We implement these algorithms and conduct experiments of ontology debugging and ontology revision on several adapted real ontologies. The experimental results of ontology debugging show that our approach of calculating MIPS based on graph is efficient and outperforms the state of the art. The experimental results of ontology revision show that the algorithm based on a scoring function is more efficient than the algorithm based on a hitting set tree.

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Section: Implementation and Evaluationmentioning

confidence: 99%

Graph-based approaches to debugging and revision of terminologies in DL-Lite

Zhang

et al. 2016

Knowledge-Based Systems

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“…If the condition is not satisfied, there is no enquiry time of head for this rule. OWLReasoner [20] was resorted to alter and redefine the needed rules on the basis of Jena's original rules document, and to infer by promiscuous mode.…”

Section: Answer Extraction Based On Agent Ontologymentioning

confidence: 99%

A novel approach for agent ontology and its application in question answering

Guo

2009

J. Cent. South Univ. Technol.

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The information integration method of semantic web based on agent ontology (SWAO method) was put forward aiming at the problems in current network environment, which integrates, analyzes and processes enormous web information and extracts answers on the basis of semantics. With SWAO method as the clue, the following technologies were studied: the method of concept extraction based on semantic term mining, agent ontology construction method on account of multi-points and the answer extraction in view of semantic inference. Meanwhile, the structural model of the question answering system applying ontology was presented, which adopts OWL language to describe domain knowledge from where QA system infers and extracts answers by Jena inference engine. In the system testing, the precision rate reaches 86%, and the recalling rate is 93%. The experimental results prove that it is feasible to use the method to develop a question answering system, which is valuable for further study in more depth.

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“…Preventive medicine and mass screening of patients can reduce the cost involved in the surgical treatment (mean trabeculectomy, laser surgery, drainage implants) of end stage glaucoma and prevent from disease progression [13]. Significant loss of the optic nerve fibers lead to irreversible vision impairment, making glaucoma one of the most common causes of blindness [43].…”

Section: Introductionmentioning

confidence: 99%