Ontology Mapping Research Articles

Establishing agent trust for contradictory evidence by means of fuzzy voting model: An ontology mapping case study

This paper introduces a novel trust assessment formalism for contradicting evidence in the context of multi-agent ontology mapping. Evidence combination using the Dempster rule tend to ignore contradictory evidence and the contemporary approaches for managing these conflicts introduce additional computation complexity i.e. increased response time of the system. On the Semantic Web, ontology mapping systems that need to interact with end users in real time cannot afford prolonged computation. In this work, we have made a step towards the formalisation of eliminating contradicting evidence, to utilise the original Dempster’s combination rule without introducing additional complexity. Our proposed solution incorporates the fuzzy voting model to the Dempster–Shafer theory. Finally, we present a case study where we show how our approach improves the ontology mapping problem.

NCBO-based Ontology Mapping and Application

NCBO-based Ontology Mapping and Application

Application of the Agent-Based Ontology Matching Technology in the Relational Database

As the relational database be the main data storage mode, but the traditional keyword based syntactic matching defects in precision and recall. This paper provides a ontology matching mechanisms for relational database, which realizes the semantic level of the data retrieval by using the intelligent search technology from Agent and Ontology. The mechanism using DCL domain ontology, SQC services query policy, SearchPolicyMap mapping to solve the problems as data object description, retrieval conditions description, and the mapping between those two description. And provided the preconditions for the semantic matching under the relational database. Solve the semantic matching problem of interaction between human and Agent by the WI interface and CM mechanism . Solve the problem of interaction between Agent and relational database by the service customization Interface SBI. Finally, solve the problem of semantic retrieval and quantitative calculation by querying adapter QA and core algorithm CMA. The mechanism has a strong practicality and application domains independent. Can implement a specific level semantics of relational database retrieval through the application domain ontology creation and mapping configuration.

Ontological map of service oriented architecture for shared services management

Service oriented architecture (SOA) and shared services (SS) have been widely studied in the information technology literature. However, there is a lack of tools for shared services management (SSM) to apply SOA. This paper proposes an ontological map for SSM to apply SOA. This mapping approach, based on the well-known Zachman framework of information architecture, specifies the ontological perspective of SOA for SSM. The ontological map semantically links all aspects of SOA for SSM. Through a case study, a design artifact of computerized ontological map of SOA demonstrates the usability of the artifact for SSM.

Benchmarking of Undergraduate Computing Curricula in Kenya

This study investigated the quality of undergraduate computing curricula at Kenyan universities, how they compare locally and regionally with equivalent programs and how closely they meet the ICT sector needs. It was guided by four objectives i.e. to undertake an ontological mapping of computing curricula, to identify appropriate benchmarking criteria, to develop and test a benchmarking tool, and to investigate the alignment of these curricula to computing skills requirement. The study was deemed important by the plethora of academic computing programs of varying degrees of utility and credibility, which are a product of the escalating demand for computing education in Kenya given the development of Vision 2030 and the rapid growth of the ICT industry. To achieve its objectives, the study adopted a quantitative and qualitative cross-sectional descriptive survey of computing curricula offered locally (in Kenya) and regionally (from best practicing countries, USA and India). A sample of 70.3% was drawn from the target population for ontological mapping. Two research instruments, i.e. a questionnaire and a document analysis framework that were administered to a cross-section of 11 public/private universities. The study established that there are 24 undergraduate computing programs under 6 titles, viz. BSc., BCom., BTech., BB., BEd. and BEng. The two most populous programs are BSc. Computer Science (CS) and BSc. Information Technology (IT), which were selected to help identify two benchmarking criteria: Percent weight allocation of core hours within ACM knowledge areas and Relative performance capabilities of computing graduates. Using these criteria a benchmarking tool was developed and tested, which depicted disparities among the respondents in the percent weight allocation of core hours in CS programs. Similarly, it portrayed overlaps in the relative performance capabilities of CS and IT graduates, an outcome that queried the uniqueness of these programs. As such, its results indicate that the quality of the two computing programs is relatively insufficient. However, it further establishes that the computing curricula are aligned to meet the top 3 highly demanded computing skills i.e. Networking, Software development and Internet skills albeit insufficient percent weight allocation of core hours in Software development. It therefore recommends further testing and refining of the established benchmarking tool, the need to re-focus the computing programs and supports the call to institute a regulatory body and qualifications framework for computing education and skills.Â

Research of Composite Ontology Mapping Strategy on the Parsing Graph

According to complex context relation of ontology, considering different input schema, ontology graph is created with general environment. Based on ontology structure, the paper constructs multiple level graph representation, By introducing similarity propagation of structural and instance level on context relation and rapid mapping with a rapid matching algorithm, a composite ontology mapping strategy is proposed, which iteratively achieves ontology mapping result with reused idea. Finally feasibility and effectiveness of the strategy is proved by complexity analysis to algorithm and some contrast test.

A Revised Distributed Interpretation for Ontology Integration

Under the background of information integration, the semantics of ontology integration is still an open issue. In this paper, we propose a revised distributed interpretation which is adapted from distributed description logics. In our proposal, ontology integration is taken as global ontology and local ontologies connected by ontology mapping. They are respectively interpreted with DL semantics and Semantic Import semantics. In this way, our method can facilitate understanding and maintenance of ontology integration.

An ontology-driven framework for enhancing reusability of distributed simulation modeling of industrial construction processes

This paper describes an ontology-driven framework for developing distributed simulation modeling of construction processes. The research described in the paper is motivated by the necessity of knowledge sharing between distributed simulation modeling collaborators, and reuse and portability challenges in construction simulation models. Our approach addresses these challenges through ontological modeling and linking of construction simulation modeling components including (i) ontology of construction process, (ii) ontology of simulation world view, and (iii) ontology of distributed simulation modeling application tool. Within the paper, ontology driven approach and mapping of ontologies for information transference between simulation components has been described. Another discussed application of ontologies is structuring of simulation modeling development through use of reusable elements. A large-scale distributed simulation model of industrial construction processes has been outlined to illustrate the application of the approach.

Supervised Multidimensional Scaling for Ontology Similarity Measure and Ontology Mapping via Multi-Dividing

Ontology similarity calculation and ontology mapping are crucial research topics in information retrieval. Ontology, as a concept structure model, is also widely used in biology, physics, geography and social sciences. In this paper, we propose new algorithms for ontology similarity measurement and ontology mapping using supervised multidimensional scaling and multi-dividing technologies. Two experimental results show that the proposed new algorithm has high accuracy and efficiency on ontology similarity calculation and ontology mapping in certain applications.

A Note on Optimal Function for Similarity Measure in Ontology Application

Ontology similarity calculation and ontology mapping are important research topics in information retrieval. One method for ontology similarity measure is using multi-dividing approach. Assume that the notation and terminology used but undefined in this paper can be found in [4] and [5]. We show that the assumption of strict ordering of xi*can be relaxed to allow some ties in the likelihood ratio. The same proof remains true if we consider equivalence classes defined by the likelihood ratio and relabel xi* as its equivalence class denoted by [xi*].

A framework for OWL DL based Ontology Construction from Relational Database using Mapping and Semantic Rules

Wide Web (WWW) is capable of retrieving the results only through location finding of search terms, where as Semantic web retrieves by analysing the keywords because of the machine accessible nature of semantic data. One such Semantic data format is Ontology. Ontologies are the web documents generated by Web Ontology Language to provide more precise web content, thus by improving the performance of information retrieval. Semantic web requires data either in terms of manual creation or through conversion from existing data. Ontologies lack semantically rich data because the manual construction of these documents are time consuming and also the domain experts need to understand the syntax and semantics of Ontology development languages. One alternate to compensate for the rich set of data is to take the contents of Relational Data Base (RDB) for domain related applications in the Semantic Web. This is possible by mapping the RDB constructs into Ontology constructs. This paper proposes an RDB to Ontology mapping system framework which can generate an Ontology based on the proposed Mapping Rules for a Banking domain. The Mapping rules are generated both for, 1) direct mapping 2) integrity constraints mapping. Direct mapping is, RDB components like table, attribute, data are mapped to the corresponding Ontology components. Integrity constraints mapping covers primary key, foreign key and column constraints mapped to the relevant Ontology components. This is the direct translation of RDB structure. This paper also proposes additional Semantic Rules for the generated Ontology to provide richer semantics. This in turn provides more expressiveness in Ontology representation and also efficient reasoning power.

Experimental right ventricular failure is associated with dysregulation of genes involved in dilated cardiomyopathy

Purpose: We aimed to identify pathways involved in experimental right ventricular failure (RVF) due to chronic pressure overload. Methods: Wistar rats were subjected to pulmonary artery banding (PAB) (1.1mm, n=12) or sham surgery (CON, n=7) and then daily checked for clinical signs of RVF (inactivity, ruffled fur, dyspnea, ascites). At the onset of clinical RVF (necessitating termination) pressure-volume analysis was performed in the rats with RVF and in randomly selected PAB rats without clinical signs of RVF (RVDysfunction, RVD) at the same time points. Gene micro array was performed on RV tissue using GeneChip Rat Gene 1.1 ST (Affymetrics). Quality control and normalization (RMA) were performed according to international standards. False discovery rate was set to 1.3 in RVF vs. RVD. Micro array data were analyzed using gene-set enrichment analysis (GSEA), gene ontology mapping (biological processes) (ErmineJ) and pathway analysis (DAVID). Results: All rats with PAB had RV dysfunction, but clinical RVF ensued in only 5 rats, after a period of 52±5 days. RVF rats had pericardial effusion, liver congestion, and widely dilated right atria, in contrast to RVD rats. RVF rats also had significantly lower cardiac index (0.10±0.04 vs. 0.19±0.04 mL/min/g, RVF vs. RVD, p<0.05). In RVF contractility was preserved (end systolic elastance 269±173 vs. 101±44mmHg/mL, ns), but diastolic function deteriorated (end diastolic elastance 32±21 vs. 11±4mmHg/mL; end diastolic pressure 6±3 vs. 3±1mmHg, RVF vs. RVD, p<0.05). We identified 9 pathways that were differentially regulated in RVF vs. RVD. Among these, the dilated cardiomyopathy (DCM) KEGG-pathway was negatively enriched in RVF compared to RVD (normalized enrichment score= -1.94, p<0.05). Gene ontology mapping supported the dysregulation of the DCM pathway in RVF; 10 ontology categories overlapping with the DCM pathway were strongly decreased in RVF vs. RVD (p<1.00E-10 for all categories). Further pathway analysis and comparison to CON, revealed that within the DCM pathway, the dysregulation involved transforming growth factor beta (TGFβ) 2 (Rank Metric Score: -4.316 RVF vs. RVD), TGFβ 3 (RMS: -3.840) and specific calcium channel-subunits: CACNA2D2 (RMS: -2.429), CACNA2D3 (RMS: -1.754), CACNA1D (RMS: -1.730) and CACNB3 (RMS: -2.429). Conclusions: We identified novel pathways involved in experimental RVF. RVF is associated with dysregulation of specific parts of the dilated cardiomyopathy pathway. New studies should explore whether an imbalance in TGFβ activation or alterations in calcium cycling are central in the pathobiology of RVF.

Validation of CRUD Approach in Composition of Web Services

The conception behind Composition of web services will conforms to simple versatile web services into one complex web service. Here we are confronting an approach to carry out CRUD operations in the Dynamic Composition of web services in retail management system. CRUD (Create-Retrieve-Update-Delete) will provide the persistent storage for all real world entities (objects) in repositories. In semantic web technology the CRUD operations are performed in the repositories to extend the search operations of specific items in the retail management system. An Illustrative case study has been presented here apparently based on the automatic object - ontology mapping with form generation by different suppliers in the retail management system. Finally this paper explains the development and privileges of CRUD operations in dynamic Composition of web services.

Ontology Mapping using Fuzzy Decision Tree and Formal Concept Analysis

An ontology describes and defines the terms used to describe and represent an area of knowledge. Different people or organizations come up with their own ontology; having their own view of the domain. So, for systems to interoperate, it becomes necessary to map these heterogeneous ontologies.This paper discusses the state of the art methods and outlines a new approach with improved precision and recall. Also the system finds other than 1:1 relationships.

Semantic Ontology Mapping for Interoperability of Learning Resource Systems using a rule-based reasoning approach

There is an increasing demand for sharing learning resources between existing learning resource systems to support reusability, exchangeability, and adaptability. The learning resources need to be annotated with ontologies into learning objects that use different metadata standards. These ontologies have introduced the problems of semantic and structural heterogeneity. This research proposes a Semantic Ontology Mapping for Interoperability of Learning Resource Systems. To enable semantic ontology mapping, this research proposes conflict detection and resolution techniques for both semantic and structural conflicts. The Semantic Bridge Ontology has been proposed as a core component for generating mapping rules to reconcile terms defined in local ontologies into terms defined in the target common ontology. This work defines the reasoning rules to classify related learning objects to enhance the powerful deductive reasoning capabilities of the system. As a consequence, ontology-based learning object metadata are generated and used by the semantic query engine to facilitate user queries of learning objects across heterogeneous learning resource systems.

Knowledge Modeling and Solving Strategy for Product Innovation Design

Knowledge modeling and solving strategy are the key techniques of improving the innovation design ability of a complex product with design knowledge system. Aiming at a formal expression of product behavior knowledge, generalized variables are introduced from the bond graph theory. The attributes of motion behavior are used to realize the unity of dynamic behavior and static behavior. The ontology model of product design function, behavior, structure knowledge is constructed with the six-tuple structure. With the breadth first search FBS ontology mapping strategy, product design is realized by searching within product design knowledge base according to the name similarity. For the new function introduced by new demand in product design, concept learning based on variant space is proposed to get the general function unit or special function unit. Then the innovation design is realized through FBS ontology mapping strategy. The validity of the proposed method is verified by example of innovation design of multi-wire diamond saw.

The Applied Research of the Method in Ontology Mapping Based on the Relational Model

The Applied Research of the Method in Ontology Mapping Based on the Relational Model

A Semi-Automated Approach for Anatomical Ontology Mapping

Summary This paper presents a study in the domain of semi-automated and fully-automated ontology mapping. A process for inferring additional cross-ontology links within the domain of anatomical ontologies is presented and evaluated on pairs from three model organisms. The results of experiments performed with various external knowledge sources and scoring schemes are discussed.

An Ontology Mapping Method Based on Lexical Similarity Calculation

An Ontology Mapping Method Based on Lexical Similarity Calculation

A semi-automated approach for anatomical ontology mapping.

This paper presents a study in the domain of semi-automated and fully-automated ontology mapping. A process for inferring additional cross-ontology links within the domain of anatomical ontologies is presented and evaluated on pairs from three model organisms. The results of experiments performed with various external knowledge sources and scoring schemes are discussed.