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Utilizing the UMLS for Semantic Mapping between Terminologies
"... An algorithm was derived to find candidate mappings between any two terminologies inside the UMLS, making use of synonymy, explicit mapping relations and hierarchical relationships among UMLS concepts. Using an existing set of mappings from SNOMED CT to ICD9CM as our gold standard, we managed to fin ..."
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An algorithm was derived to find candidate mappings between any two terminologies inside the UMLS, making use of synonymy, explicit mapping relations and hierarchical relationships among UMLS concepts. Using an existing set of mappings from SNOMED CT to ICD9CM as our gold standard, we managed
Categorizing the Relationships between Structurally Congruent Concepts from Pairs of Terminologies for Semantic Harmonization
"... In this paper, we are using “structurally congruent concepts ” in pairs of terminologies to suggest methods for harmonizing the terminologies. Two concepts are structurally congruent if they are children of the same more general concept and parents of the same more specific concept in two different ..."
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terminologies. We show that structurally congruent concepts can be interpreted in six useful ways, e.g., as new synonyms. All structurally congruent concepts were found for six terminologies from the UMLS, each paired with SNOMED CT. In total, 1384 concept pairs were discovered. Concepts from a sample of 241
R. Cornet, K.A. Spackman (Eds) Why do it the hard way? The Case for an Expressive Description Logic for SNOMED
"... Since SNOMED-RT/CT was originally formulated in the early to mid 1990s, there have been major developments in logic-based formalisms, ontology design and associated tools. Combined with the increase in computing power in the past two decades, these developments mean that many of the restrictions tha ..."
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, Bodenreider (1) examined the specialization hierarchy of SNOMED classes. Schulz discussed ‘relationship groups ’ (2) and a broad range of other ontological problems along with potential remedies (3). Schulz suggested a modest extension of SNOMED’s formalism to one with more clearly defined semantics (EL
U-path: An undirected path-based measure of semantic similarity
"... In this paper, we present the results of a method using undirected paths to determine the degree of semantic similarity between two concepts in a dense taxonomy with multiple inheritance. The overall objective of this work was to explore methods that take advantage of dense multi-hierarchical taxono ..."
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our method using the Systematized Nomenclature of Medicine Clinical Terms (SNOMED CT), and four reference standards that have been manually tagged by human annotators. The overall results of our experiments show, in SNOMED CT, the location of the concepts with respect to each other does indicate
Efficient Concept-based Document Ranking
"... Recently, there is increased interest in searching and computing the similarity between Electronic Medical Records (EMRs). A unique characteristic of EMRs is that they consist of ontological concepts derived from biomedical ontologies such as UMLS or SNOMED-CT. Medical researchers have found that it ..."
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Recently, there is increased interest in searching and computing the similarity between Electronic Medical Records (EMRs). A unique characteristic of EMRs is that they consist of ontological concepts derived from biomedical ontologies such as UMLS or SNOMED-CT. Medical researchers have found
A Survey of the Semantic Specification of Sensors
"... Abstract. Semantic sensor networks use declarative descriptions of sen-sors promote reuse and integration, and to help solve the difficulties of installing, querying and maintaining complex, heterogeneous sensor net-works. This paper reviews the state of the art for the semantic specifi-cation of se ..."
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of sensors, one of the fundamental technologies in the semantic sensor network vision. Twelve sensor ontologies are reviewed and anal-ysed for the range and expressive power of their concepts. The reasoning and search technology developed in conjunction with these ontologies is also reviewed
HS: The next generation of similarity measures that fully explore the semantics in biomedical ontologies. Journal of bioinformatics and computational biology
, 2013
"... Abstract There is a prominent trend to augment and improve the formality of biomedical ontologies. For example, this is shown by the current effort on adding description logic axioms, such as disjointness. One of the key ontology applications that can take advantage of this effort is the conceptual ..."
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Cited by 7 (6 self)
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be effectively addressed if we improve the quality of the process of ontology development. For example, the omission of simple and obvious relationships in the January 2003 release of SNOMED-CT R , did not allow the inference of "uterus" as part-of "female genital tract", nor the inference
Structured pathology reporting for cancer from free text: Lung cancer case study. electronic
- Journal of Health Informatics
"... Objective: To automatically generate structured reports for cancer, including TNM (Tumour-Node-Metastases) staging information, from free-text (non-structured) pathology reports. Method: A symbolic rule-based classification approach was proposed to identify symbols (or clinical concepts) in free-tex ..."
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Cited by 1 (0 self)
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-text reports that were subsumed by items specified in a structured report. Systematized Nomenclature of Medicine – Clinical Terms (SNOMED CT) was used as a base ontology to provide the semantics and relationships between concepts for subsumption querying. Synthesised values from the structured report
