The proceedings contain 123 papers. The topics discussed include: supervised machine learning models and schema matching techniques for ontology alignment;framework for a knowledge-based course recommender system focu...
ISBN:
(纸本)9789897587160
The proceedings contain 123 papers. The topics discussed include: supervised machine learning models and schema matching techniques for ontology alignment;framework for a knowledge-based course recommender system focused on IT career needs;optimization of methods for querying formal ontologies in natural language using a neural network;personalized asthma recommendation system: leveraging predictive analysis and semantic ontology-based knowledge graph;elementary multiperspective material ontology: leveraging perspectives via a showcase of EMMO-based domain and application ontologies;positive-unlabeled learning using pairwise similarity a parametric minimum cuts;efficient visualization of association rule mining using the rules;predicting post myocardial infarction complication: a study dual-modality and imbalanced flow cytometry data;a model for designing personalized and context-aware nudges;automatic transcription systems: a game changer for court hearings;scientific claim verification with fine-tuned NLI models;and assessing the use of online platforms in sharing tacit knowledge in innovation networks.
The proceedings contain 35 papers. The topics discussed include: EvdoGraph: a knowledge graph for the EVDOXUS textbook management service for Greek universities;development of an OWL ontology based on the function-ori...
ISBN:
(纸本)9789897586712
The proceedings contain 35 papers. The topics discussed include: EvdoGraph: a knowledge graph for the EVDOXUS textbook management service for Greek universities;development of an OWL ontology based on the function-oriented system architecture to support data synchronization between SysML and domain models;using paraphrasers to detect duplicities in ontologies;developing digital media service value creation by using emotion data;knowledge graphs alignment based on learning to rank methods;knowledge graphs extracted from medical appointment transcriptions: results generating triples relying on LLMs;an approach to developing ontology-based tools for event series analysis;and evaluating the perceived quality and functionality of demo models’ representations in the health domain.
The proceedings contain 94 papers. The topics discussed include: two-dimensional motif extraction from images: a study using an electrocardiogram;fast algorithms for the capacitated vehicle routing problem using machi...
ISBN:
(纸本)9789897586149
The proceedings contain 94 papers. The topics discussed include: two-dimensional motif extraction from images: a study using an electrocardiogram;fast algorithms for the capacitated vehicle routing problem using machine learning selection of algorithm’s parameters;end-to-end multi-channel neural networks for predicting influenza a virus hosts and antigenic types;degree centrality algorithms for homogeneous multilayer networks;evaluation of a system for named entity recognition in a knowledge management ecosystem;knowledge graph-based product recommendations on e-commerce platforms;inferring new information from a knowledge graph in crisis management: a case study;toward building a bilingual dictionary for Libyan dialect-modern standard Arabic machine translation;stream data access control model: the need for data semantics;characteristics in digital organizational culture: a literature review;and exploring the test driven development of a fraud detection application using the google cloud platform.
The proceedings contain 80 papers. The topics discussed include: a case study and qualitative analysis of simple cross-lingual opinion mining;event log abstraction in client-server applications;improved session-based ...
ISBN:
(纸本)9789897585333
The proceedings contain 80 papers. The topics discussed include: a case study and qualitative analysis of simple cross-lingual opinion mining;event log abstraction in client-server applications;improved session-based recommender system by context awareness in e-commerce domain;FormalStyler: GPT based model for formal style transfer based on formality and meaning preservation;towards a rule-based visualization recommendation system;product embedding for large-scale disaggregated sales data;an evaluation of hubness reduction methods for entity alignment with knowledge graph embeddings;matching entities from multiple sources with hierarchical agglomerative clustering;hierarchical control of swarms during evacuation;modelling and detection of driver’s fatigue using ontology;participatory design in knowledge management: an opportunity to small and medium business;eliciting design requirements for a knowledge management system in cultural and historical heritage;and a qualitative study on the categorization and prioritization of digital competencies and attitudes for managers and employees.
The proceedings contain 55 papers. The topics discussed include: big data mining services and distributed knowledge discovery applications on clouds;bridging the emotional gap - from objective representations to subje...
ISBN:
(纸本)9789897580499
The proceedings contain 55 papers. The topics discussed include: big data mining services and distributed knowledge discovery applications on clouds;bridging the emotional gap - from objective representations to subjective interpretations;OntoPhil - exploitation of binding points for ontology matching;KEWI - A knowledgeengineering tool for modelling AI planning tasks;data-driven diachronic and categorical evaluation of ontologies - framework, measure, and metrics;answering natural language queries about rehabilitation robotics ontology on the cloud;Galaxy-Gen - a tool for building galaxy model from XML documents;development of an ontology for aerospace engine components degradation in service;ontology quality problems - an experience with automatically generated ontologies;an e-government project case study - interview based DEMO axioms' benefits validation;and clarification KBS as consultation-justification mash ups - proposing a novel paradigm for all-in-one knowledge-based systems.
This paper presents a comprehensive framework for the development and implementation of an ontology tailored to the domain of Photovoltaic (PV) power stations. Amidst escalating global efforts to combat climate change...
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ISBN:
(纸本)9798350386783;9798350386776
This paper presents a comprehensive framework for the development and implementation of an ontology tailored to the domain of Photovoltaic (PV) power stations. Amidst escalating global efforts to combat climate change, PV power generation emerges as a crucial technology for achieving carbon neutrality. However, the expansion of PV power stations generates a vast amount of heterogeneous data, presenting challenges in efficient data integration and utilization. This research addresses these challenges by proposing an ontology-based knowledge modeling framework specifically designed for PV power stations, leveraging a leading graph database environment to facilitate complex queries and knowledge discovery. The primary contributions of this paper are threefold: First, it introduces a detailed methodology for ontologydevelopment, focusing on the specific needs of complex engineering projects like PV power stations. Second, it develops a comprehensive ontology that encapsulates the domain-specific knowledge, thereby laying a foundational frame-work for semantic data representation and management within this domain. Finally, a case study was conducted to validate the practical applicability of the developed ontology. This case study involved converting actual project data, provided by users in diverse files and formats, into project knowledge graphs within a deployable graph database environment. The results of this case study illustrate the enhanced data query and knowledge discovery capabilities afforded by the ontology for PV projects. This work bridges a significant gap in ontology research for PV power stations, offering new avenues for data management and application within the domain. It underscores the potential of industrial knowledge graphs in addressing complex challenges across various fields, thus advancing the field of PV project management and contributing to the broader efforts in clean energy development.
knowledge representation and reasoning is a field of ‘Artificial Intelligence’ that en-codes knowledge, beliefs, actions, feelings, goals, desires, preferences, and all other mental states in the machine. An ontolog...
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Cloud Computing has revolutionized the way applications are developed, deployed, and maintained. Over the past decade, we have observed dynamically growing interest in Cloud Computing. The benefits of the cloud approa...
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Cloud Computing has revolutionized the way applications are developed, deployed, and maintained. Over the past decade, we have observed dynamically growing interest in Cloud Computing. The benefits of the cloud approach caused the increasing popularity of Cloud-native applications. Cloud-native is an approach to developing and deploying applications according to the concepts of DevOps, Continuous Integration/Continuous Delivery (CI/CD), containers and microservices. The knowledge about Cloud Computing has become extensive and complex. Fortunately, before Cloud-native applications development, there was a great deal of effort to develop tools for effective knowledge representation. Ontologies are a convenient way to show the relations between domain-specific concepts. In this paper, we propose an ontology named CNOnt that describes the state-of-the-art of Cloud-native applications. CNOnt covers aspects from the clusterization perspective. First, this paper presents the engineering perspective of building the CNOnt ontology. Second, we demonstrate a use case of our ontology that proves the correctness of CNOnt development. This ontology is exhausted in CNOnt Broker. It is a system that applies the information in the OWL file into the Kubernetes cluster and in reverse. The knowledge representation makes Cloud-native applications understandable to third-party systems and increases interoperability between different microservices.
knowledge graph is essentially a visual way to present knowledge, which can explore the relationship between knowledge, so as to reveal the dynamic development law of knowledge in specific fields, and realize the shar...
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ISBN:
(纸本)9798350386783;9798350386776
knowledge graph is essentially a visual way to present knowledge, which can explore the relationship between knowledge, so as to reveal the dynamic development law of knowledge in specific fields, and realize the sharing and reuse of knowledge. Therefore, the establishment of vulnerability knowledge graph can provide comprehensive and in-depth information support for subsequent vulnerability analysis, which has important theoretical and practical application value. In this paper, by analyzing the vulnerability of the routing mechanism of the space-based network, we designed a fault injection experiment scheme for the typical routing program, realized the dynamic collection of the vulnerability feature information of the network routing mechanism, and constructed the vulnerability dataset of the network routing mechanism. After that, we designed the network routing mechanism vulnerability knowledge graph pattern layer, established the routing mechanism vulnerability ontology model, and finally formed the space-based network routing mechanism vulnerability knowledge graph. The vulnerability knowledge graph of space-based network routing mechanism proposed in this paper has the advantages of visualization and integrity.
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