检索结果-内蒙古大学图书馆

IEEE Annual Computing and Communication Workshop and Conference (CCWC)

作者： Johannes Zenkert Madjid Fathi Institute of Knowledge Based Systems and Knowledge Management University of Siegen Siegen Germany

Taxonomy mining plays an important role for organizing and structuring of data in Content management systems (CMS). In this paper, we propose a novel approach that leverages multidimensional knowledge representation (MKR) for taxonomy mining from text documents and enriching the extracted information via Large Language Model (LLM). The data originates from a Smart City project in Germany, which addresses housing, care and health for elderly people. The applied method involves the extraction of relevant keywords from text and the utilization of the MKR framework to analyze and represent the information. Results are provided for a context builder that utilizes GPT-4 to enrich the taxonomy. The enriched taxonomy is then used in a WordPress CMS for information search, structuring and tagging of the blog entries accordingly.

关键词：

来源：评论

学校读者我要写书评

暂无评论

knowledge Graphs as Context Sources for LLM-based Explanations of Learning Recommendations

Knowledge Graphs as Context Sources for LLM-Based Explanatio...

引用

IEEE Education Engineering (EDUCON)

作者： Hasan Abu-Rasheed Christian Weber Madjid Fathi Knowledge-based Systems and Knowledge Management Inst. University of Siegen Siegen Germany

ISBN: (数字)9798350394023

ISBN: (纸本)9798350394030

In the era of personalized education, the provision of comprehensible explanations for learning recommendations is of great value to enhance the learner's understanding and engagement with the recommended learning content. Large language models (LLMs) and generative AI have recently opened new doors for generating human-like explanations, for and along learning recommendations. However, their precision is still far away from acceptable in a sensitive field like education. To harness the abilities of LLMs, while still ensuring a high level of precision towards the intent of the learners, this paper proposes an approach to utilize knowledge graphs (KG) as a source of factual context for LLM prompts, reducing the risk of model hallucinations, and safeguarding against wrong or imprecise information, while maintaining an application-intended learning context. We utilize the semantic relations in the knowledge graph to offer curated knowledge about learning recommendations. With domain-experts in the loop, we design the explanation as a textual template, which is filled and completed by the LLM. Domain experts were integrated in the prompt engineering phase as part of a study, to ensure that explanations include information that is relevant to the learner. We evaluate our approach quantitatively using Rouge-N and Rouge-L measures, as well as qualitatively with experts and learners. Our results show an enhanced recall and precision of the generated explanations compared to those generated solely by the GPT model, with a greatly reduced risk of generating imprecise information in the final learning explanation.

关键词： Shape Large language models Semantics knowledge graphs Prompt engineering Data mining Engineering education

来源：评论

学校读者我要写书评

暂无评论

LOKAL-digital - Smart knowledge management for Housing, Care and Health 8

LOKAL-digital - Smart Knowledge Management for Housing, Care...

引用

8th IEEE International Smart Cities Conference, ISC2 2022

作者： Zenkert, Johannes Karl, Daniel Dornhofer, Mareike Fathi, Madjid Becker, Christine Institute of Knowledge Based Systems and Knowledge Management University of Siegen Siegen Germany Salutoconsult Bad König Germany

ISBN: (数字)9781665485616

ISBN: (纸本)9781665485616

This short paper describes an exemplary Smart City model-project called LOKAL-digital. The model area is the city of Netphen in Germany, a city located in a rural area of North Rhine- Westphalia of about 23.000 inhabitants. Project goal is the establishment of a knowledge management solution supporting digital services for living, care and health services provided by the city itself as well as other local service providers. Users of the solution will be elderly inhabitants, informal or formal caregivers and other interested inhabitants requiring support. © 2022 IEEE.

关键词： knowledge management

来源：评论

学校读者我要写书评

暂无评论

An Overview of the Learning Capability and Adaptability of a Digital Consulting Assistant in WordPress CMS for the Smart City Domain

An Overview of the Learning Capability and Adaptability of a...

引用

IEEE International Smart Cities Conference (ISC2)

作者： Johannes Zenkert Madjid Fathi Institute of Knowledge Based Systems and Knowledge Management University of Siegen Siegen Germany

This paper investigates the learning capability and adaptability of a digital consulting assistant in the WordPress Content management System (CMS). The assistant is used in the Smart City context for advice and information in the areas of care, housing and digitalization. The results originated from the LOKAL-digital project, a digitalization project at the municipal level in the city of Netphen, which is located in the rural area of the district of Siegen-Wittgenstein, Germany. The aim of this research was to analyze the opportunities and challenges of integrating consulting assistants in content management systems and to investigate technical possibilities, e.g. via plugins, to continuously adapt to the needs of the users. By combining methods from artificial intelligence, personalized recommendations and contextual feedback, the goal is to create an optimal assistance experience for users.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Practice-Oriented Approaches for Information and Metadata management in a Content management System - Learnings from the Smart City Project LOKAL-digital

Practice-Oriented Approaches for Information and Metadata Ma...

引用

Electrical, Computer and Energy Technologies (ICECET), International Conference on

作者： Johannes Zenkert Madjid Fathi Institute of Knowledge Based Systems and Knowledge Management University of Siegen Siegen Germany

Metadata play an important role in the organization of information. As data about data, they explain how information relates to one another, in what chronological sequence it arises, or what hierarchical structures can be formed. In the content management system of the smart city project “LOKAL-digital”, metadata is utilized for the structuring of information in the areas of housing, health and care. This paper gives practical approaches for the implementation of metadata management in the development of the information portal and reports on the lessons learned in building the knowledge management solution. The use of metadata for structuring and searching content is discussed in various use cases.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Digit-DM: A Sustainable Data Mining Modell for Continuous Digitization in Manufacturing

Digit-DM: A Sustainable Data Mining Modell for Continuous Di...

引用

IEEE International Conference on Electro-Information Technology

作者： Christian Weber Peter Czerner Madjid Fathi Knowledge Based Systems and Knowledge Management University of Siegen Siegen Germany Elmos Semiconductor SE Dortmund Germany

Manufacturing as an industry is under continuous pressure to deliver the right product, at the right quality, quantity and in time. To do so it becomes increasingly important to detect the source of manufacturing problems in a short amount of time but also to prevent further occurrence of know problems. Data Mining is focused on identifying problem patterns and inferring the right interpretation to trace and resolve the root cause in time. However, lessons learned are rarely transported into digital solutions that then thoroughly enable to automatize detection and resolving of incidents. Data mining models exist, but no structured approach for transforming and sustaining found solutions digitally. We are introducing Digit-DM as a structured and strategic process for digitizing analytical results. Digit-DM is building on top of existing data mining models but defines a strategic process for continuous digitization, enabling sustainable, digital manufacturing support, utilizing analytical lessons learned.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Context based learning: a survey of contextual indicators for personalized and adaptive learning recommendations – a pedagogical and technical perspective

arXiv

引用

arXiv 2023年

作者： Abu-Rasheed, Hasan Weber, Christian Fathi, Madjid Department of Electrical Engineering and Computer Science Institute of Knowledge Based Systems and Knowledge Management University of Siegen Siegen Germany

Learning personalization has proven its effectiveness in enhancing learner performance. Therefore, modern digital learning platforms have been increasingly depending on recommendation systems to offer learners personalized suggestions of learning materials. Learners can utilize those recommendations to acquire certain skills for the labor market or for their formal education. Personalization can be based on several factors, such as personal preference, social connections or learning context. In an educational environment, the learning context plays an important role in generating sound recommendations, which not only fulfill the preferences of the learner, but also correspond to the pedagogical goals of the learning process. This is because a learning context describes the actual situation of the learner at the moment of requesting a learning recommendation. It provides information about the learner’s current state of knowledge, goal orientation, motivation, needs, available time, and other factors that reflect their status and may influence how learning recommendations are perceived and utilized. Context-aware recommender systems have the potential to reflect the logic that a learning expert may follow in recommending materials to students with respect to their status and needs. During the last decade, several approaches have emerged in the literature to define the learning context and the factors that may capture it. Those approaches led to different definitions of contextualized learner-profiles. In this paper, we review the state-of-the-art approaches for defining a user’s learning-context. We provide an overview of the definitions available, as well as the different factors that are considered when defining a context. Moreover, we further investigate the links between those factors and their pedagogical foundations in learning theories. We aim to provide a comprehensive understanding of contextualized learning from both pedagogical and technical points of view.

关键词： Recommender systems

来源：评论

学校读者我要写书评

暂无评论

LLM-Assisted knowledge Graph Completion for Curriculum and Domain Modelling in Personalized Higher Education Recommendations

arXiv

引用

arXiv 2025年

作者： Abu-Rasheed, Hasan Jumbo, Constance Amin, Rashed Al Weber, Christian Wiese, Veit Obermaisser, Roman Fathi, Madjid Institute for Knowledge-Based Systems and Knowledge Management University of Siegen Siegen Germany Institute for Embedded Systems University of Siegen Siegen Germany Department of Digital Health Sciences and Biomedicine University of Siegen Siegen Germany

While learning personalization offers great potential for learners, modern practices in higher education require a deeper consideration of domain models and learning contexts, to develop effective personalization algorithms. This paper introduces an innovative approach to higher education curriculum modelling that utilizes large language models (LLMs) for knowledge graph (KG) completion, with the goal of creating personalized learning-path recommendations. Our research focuses on modelling university subjects and linking their topics to corresponding domain models, enabling the integration of learning modules from different faculties and institutions in the student’s learning path. Central to our approach is a collaborative process, where LLMs assist human experts in extracting high-quality, fine-grained topics from lecture materials. We develop a domain, curriculum, and user models for university modules and stakeholders. We implement this model to create the KG from two study modules: Embedded systems and Development of Embedded systems Using FPGA. The resulting KG structures the curriculum and links it to the domain models. We evaluate our approach through qualitative expert feedback and quantitative graph quality metrics. Domain experts validated the relevance and accuracy of the model, while the graph quality metrics measured the structural properties of our KG. Our results show that the LLM-assisted graph completion approach enhances the ability to connect related courses across disciplines to personalize the learning experience. Expert feedback also showed high acceptance of the proposed collaborative approach for concept extraction and classification. © 2025, CC BY.

关键词： knowledge graph

来源：评论

学校读者我要写书评

暂无评论

Explainable Job-Posting Recommendations Using knowledge Graphs and Named Entity Recognition

Explainable Job-Posting Recommendations Using Knowledge Grap...

引用

IEEE International Conference on systems, Man and Cybernetics

作者： Chirayu Upadhyay Hasan Abu-Rasheed Christian Weber Madjid Fathi Institute of Knowledge-Based Systems and Knowledge Management University of Siegen Siegen Germany

ISBN: (纸本)9781665442084

The growth of online job-posting repositories provided job-seekers with access to a large number of potential jobs. User assessment of recommended jobs becomes especially a tedious and time-consuming task with the overwhelming number of job recommendations. To enhance the job-seeker’s ability to evaluate the suitability of a recommended job, we propose an explainable job recommendation system, which matches the user to the most relevant jobs based on their profile. Then, the system explains to the user why each job-posting has been recommended to them. The proposed system uses a knowledge graph (KG) structure to model job-postings and user profiles in one homogeneous structure. Graph relations between the job-seekers and job-postings are mined through natural language processing (NLP) of the textual content from job-postings and user-profiles. based on the graph structure itself and a customized named entity classifier, a human-readable explanation is generated for each recommendation and provided to the job-seeker. The explanation includes information about the matching factors that led the system to recommend a certain job-posting to the user. The proposed system is implemented and tested on a sample data-set of user profiles and job-postings from open online repositories. We use BELU and Rouge-L scores to show that the proposed systems generated relevant explanations for recommended jobs.

关键词： Conferences Natural language processing Task analysis Cybernetics

来源：评论

学校读者我要写书评

暂无评论

Current State and Latest Trends in Blockchain Technology and its Usage and the Effects on Business Use Cases

Current State and Latest Trends in Blockchain Technology and...

引用

IEEE International Conference on systems, Man and Cybernetics

作者： Alexander Heimes Johannes Zenkert Madjid Fathi Institute of Knowledge Based Systems and Knowledge Management University of Siegen Siegen Germany

ISBN: (纸本)9781665442084

This paper provides a brief overview about the latest applications in blockchain domain especially the trends and research questions giving an idea about limitations and benefits and in conclusion a perspective for future work. The goal is to develop open topics for research or business usage and discuss a basic idea of a possible future blockchain approach that can be utilized for the process of interchanging knowledge.

关键词： Conferences Market research Blockchains Cybernetics Business

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：