Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 20 of 34 for “"Semantic network"”.
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Enriching and designing metaschemas for the UMLS semantic network
… the health-care field. Metathesaurus (META) and Semantic Network (SN) are two main components of the UMLS system, where the SN provides a high-level abstract of the concepts in the META. This dissertation addresses three problems of the SN. First, the SN's two-tree structure is restrictive …
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Abstraction, extension and structural auditing with the UMLS semantic network
… consisting of the Metathesaurus (META) and the Semantic Network (SN), which is an upper-level ontology of broad categories called semantic types (STs). The two levels are related via assignments of one or more STs to each concept of the META. Although the SN provides a high-level abstraction for …
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Development of a knowledge base using human experience semantic network for instructive texts
… as nodes and edges in the form of a knowledge network called the human experience semantic network (HESN). The knowledge base also consists of domain knowledge having different classified terms and key phrases of the specific domain.
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Shifting Semantic Activation via Context: A Study of Aging and Semantic Network Dynamics in Word Production
… study uses the framework of the Swinging Lexical Network Hypothesis (SLNH; Abdel Rahman & Melinger, 2009, 2019) to a) determine whether thematic relations facilitate or interfere in word retrieval and b) explore whether the effects of thematic relations on retrieval are age-invariant or not. To …
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A semantic network approach to second language vocabulary learning and its implementation in a computerized lexical database
This dissertation proposes a semantic network approach to second language vocabulary learning, and discusses its implementation in a computerized lexical database. A semantic network approach to vocabulary learning incorporates semantic fields theory and frame or schema theory into the …
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Finding analogies in semantic networks using the singular value decomposition
… algorithm for finding analogies in large, sparse semantic networks. We treat analogies as comparisons between domains of knowledge. A domain is a small semantic network, i.e., a set of concepts and binary relations between concepts. We treat our knowledge base (the large semantic network) as if it …
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A formal mechanism for analysis and re-implementation of legacy programs
… with their relations will be stored into a semantic network (database). The contents of this database will be browsed in such a way that will provide critical and meaningful information about the implementation and design of the software system. A software module, called parser, will be …
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The role of comprehension in metaphor processing
… are manifested in traditional models such as semantic feature and semantic network theories. This thesis examines the comprehension variables of metaphor and the differing role these variables play in each theory. This thesis repudiates semantic feature and semantic network theories of …
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Learning common sense knowledge from user interaction and principal component analysis
… from volunteer contributors is represented as a semantic network called ConceptNet. Using principal component analysis on the graph structure of ConceptNet yields AnalogySpace, a vector space representation of common sense knowledge. This representation reveals large-scale patterns in the data, …
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Uncertainty quantification for safety verification applications in nuclear power plants
… during NPP operation. In this study, the Fault Semantic Network (FSN) methodology is proposed. This involved the development of static and dynamic fault semantic network (FSN) to model possible fault propagation scenarios and the interrelationships among associated process variables. The …
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Qualitative Reasoning in an Expert System Framework
… equations. Equations are represented in a semantic network where nodes represent variables and links represent dependent variable influences.
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A General Purpose Semantic Parser Using FrameNet and WordNet®.
… correspondence between syntactic rules and semantic rules. But such systems can only be applied to limited fragments of English. In this thesis, we propose a general-purpose shallow semantic parser which utilizes a semantic network (WordNet), and a frame dataset (FrameNet). Semantic …
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Information exchange between medical databases through automated identification of concept equivalence
… Transmission Enabler (MEDIATE) system identifies semantically equivalent concepts between databases to facilitate information exchange. MEDIATE employs a semantic network representation to model underlying native databases and to serve as an interface for database queries. This representation …
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Estudo dos microrganismos no contexto escolar: Intervenção pedagógica em uma escola estadual do município de João Pessoa – PB.
… and analyze, from a psychological meaning network, the knowledge that learners of EJA (high school), have about microorganisms, emphasizing the cyanobacterium Spirulina genre. For the development of this study were selected two groups of the fifth cycle, the content related to …
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THE USE OF ABSTRACTIONS IN MODEL MANAGEMENT.
… as a hybrid of the predicate calculus, semantic network, and frame representations in artificial intelligence (AI) embodied in an equivalent of a programming language data abstraction structure. As a result, models represented by knowledge abstractions are not only subject to the …
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Cloud-based solutions supporting data and knowledge integration in bioinformatics
… Web applications and databases provided over the network as services. Thus, biologists have become among the largest beneficiaries of the information technologies, reaching and surpassing the traditional ICT users who operate in the field of so-called "hard science" (i.e., physics, chemistry, and …
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Development of novel multidimensional pattern-based EEG/MEG connectivity methods and their application to investigate the semantic brain network
… methods to gain novel insights into the brain semantic network. In order to do so, I compared two semantic visual word processing tasks, varying the depth of semantic processing of words by contrasting a semantic decision (SD) and a lexical decision (LD) task. I used both conventional …
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Security information management with frame-based attack presentation and first-order reasoning
… System (IDS) is used to protect computer networks. However, the overwhelming flow of log data generated by IDS hamper security administrators from uncovering new insights and hidden attack scenarios. Security Information Management (SIM) is a new growing area of interest for intrusion …
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Visual intelligence for online communities : commonsense image retrieval by query expansion
… database) to locate image keywords in a semantic network of interrelated concepts so that retrieval by keywords is automatically expanded semantically to avoid the hit-or-miss problem. Such semantic query expansion further alleviates the requirement for exhaustive manual annotation. The …
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Methods for optimization of neutron detector performance in nuclear power plants
… optimization, risk estimation, and the fault semantic network (FSN) are studied. Detector models have been developed using circuit models to represent detector behavior in aged conditions. For cases with preprocessed measured data, initial conditions are set to the initial sample value, and an …
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