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Knowledge Base Engineering

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lightbulbAbout this topic
Knowledge Base Engineering is the field of computer science focused on the design, development, and maintenance of knowledge bases, which are structured repositories of information that enable automated reasoning and decision-making. It encompasses methodologies for knowledge representation, inference mechanisms, and the integration of domain-specific knowledge into intelligent systems.
lightbulbAbout this topic
Knowledge Base Engineering is the field of computer science focused on the design, development, and maintenance of knowledge bases, which are structured repositories of information that enable automated reasoning and decision-making. It encompasses methodologies for knowledge representation, inference mechanisms, and the integration of domain-specific knowledge into intelligent systems.

Key research themes

1. How can semantic wikis be designed to support collaborative knowledge engineering effectively?

This research area addresses the challenges and methodologies for developing semantic wikis as collaborative platforms that empower domain experts and knowledge engineers to jointly construct and maintain knowledge bases. It matters because traditional knowledge engineering often relies on specialists, while collaborative knowledge engineering (CKE) requires accessible, flexible tools that accommodate domain experts without deep computational backgrounds, thus enhancing knowledge quality, usability, and community engagement.

Key finding: The development of Loki, a semantic wiki built as DokuWiki plug-ins, enables collaboration among domain experts and knowledge engineers by providing diverse knowledge representation methods (semantic annotations, Prolog... Read more
Key finding: By leveraging semantic web technologies, specifically an engineering knowledge base (EKB) that integrates ontologies of varied tools (e.g., version control, mailing lists, bug tracking), this work shows how to semantically... Read more
Key finding: This work establishes foundational principles and methodologies for ontology development and engineering, which are critical for collaborative environments such as semantic wikis. It defines components like classes,... Read more

2. What architectures and methodologies enable scalable and efficient knowledge graph construction from heterogeneous data sources?

Constructing knowledge graphs (KGs) from diverse data formats—structured, semi-structured, and unstructured—is a major challenge due to heterogeneity, complex pipelines, and required domain semantics. Research focuses on developing unified architectural frameworks, data transformation meta-models, and virtual KG systems to streamline KG construction, enhance maintainability, and allow flexible, SPARQL-based querying over integrated data. This theme is essential for realizing the Semantic Web vision and enabling data integration across domains.

Key finding: Introduces Facade-X, a unified meta-model that serves as a façade to access heterogeneous web data formats (CSV, JSON, BibTex, HTML, Markdown) by mapping them into RDF structures. The approach decouples structural mappings... Read more
Key finding: Presents a comprehensive architectural framework for KG construction, particularly focusing on the bottom-up approach where knowledge instances are extracted from multiple heterogeneous data sources and fused into a KG. The... Read more
Key finding: Describes Ontop v4, a mature virtual knowledge graph system that exposes heterogeneous relational data sources as unified KGs via ontology-based data access (OBDA). Ontop translates SPARQL queries over ontologies into SQL... Read more
Key finding: Presents a sustainable workflow using semantic web technologies and R2RML mapping rules to systematically construct knowledge graphs from institutional data within research-performing organizations. Aligned with the HERCULES... Read more
Key finding: Analyzes the process of creating large-scale knowledge bases (KBs) such as DBpedia, YAGO, and Wikidata by extracting structured and semi-structured data from Wikipedia (notably infoboxes). The paper compares these KBs... Read more

3. How can logic-based and rule-based methods improve knowledge base management and business process modeling?

Research explores integrating logic programming, answer set programming (ASP), and declarative rule languages to enhance the expressiveness, reasoning capabilities, and quality assurance of knowledge bases and business process models. These approaches allow rich semantic modeling, interplay of multiple knowledge paradigms, validation against meta-models, and support for complex querying and simulation. This theme advances the capability to formally represent and manipulate knowledge and complex workflows in dynamic domains.

Key finding: Presents ASP-PROLOG, a tight integration of Answer Set Programming (ASP) modules within Prolog that supports multiple paradigms (e.g., commonsense reasoning and numeric constraints) within a unified framework. ASP-PROLOG... Read more
Key finding: Develops the BPAL platform, a logic-based language and reasoning framework for business process (BP) knowledge base management. BPAL formalizes BP modeling with a meta-model and supports verification of process... Read more
Key finding: Introduces RDFKB, a semantic web repository system that supports efficient management and querying of RDF triples, including inferred and uncertain knowledge. RDFKB employs forward chaining to materialize inferred triples at... Read more

All papers in Knowledge Base Engineering

Abstract. In open source software (OSS) project development typically tools and models originating from heterogeneous background are used. Project managers want to analyze the state of project across these artifacts but often face the... more
The intensified use of CFD techniques for dimensioning and design evaluation of aerodynamic geometries in a jet engine has increased the need for automation of engineering activities. One of the bottlenecks today is the lead time to... more
The development process of the knowledge-based engineering (KBE) system for the structural size optimization of external fixation device is presented in this paper. The system is based on algorithms for generative modeling, finite element... more
The actual product ownership often remains with the manufacturer as functional (total care) products emerge in aerospace business agreements. The business risk is then transferred to the manufacturer why downstream knowledge needs to be... more
Engineering effort is often concentrated on established design patterns. Within these patterns, knowledge develops through research, innovation, experiment and test. The paper first describes patterns of development in incremental design,... more
The use of external fixation devices is considered a valuable approach for the treatment of bone fractures, providing proper alignment to fractured fragments and maintaining fracture stability during the healing process. The need for... more
Development process of Knowledge Based Engineering (KBE) system for structural size optimization of external fixation device is presented in this paper. System is based on algorithms for generative modeling, finite element model (FEM)... more
Innovation and knowledge creation-these two concepts have a strong relationship but this relationship has not been examined systematically. This paper reviews the important theoretical work in both streams of research, highlighting the... more
The actual product ownership often remains with the manufacturer as functional (total care) products emerge in aerospace business agreements. The business risk is then transferred to the manufacturer why downstream knowledge needs to be... more
In the production of automotive body components, fixtures are an important part of the ongoing work on geometrical assurance. The fixture is uniquely defined for each component, and the design and configuration of these are time-consuming... more
In production of automotive components, control-measuring is an important activity to assure that geometries meet expected tolerances. This is done via randomly taking parts out of production for control-measuring in a fixture. This... more
The objective of this paper is to discuss how Knowledge Enabled Engineering, when combined with simulation methods is a development step for product development processes, engineering design methods and evaluation support systems. The... more
A manufacturing company's unique intellectual capital is to a large extent built on experience from its own product development and manufacturing processes. Thus, methods and tools to utilize and benefit from this experience in an... more
This paper presents a systematic method for designing part families whose production costs are insensitive to changes in production plans due to market demand fluctuations. A unified feature-based representation of functional geometry and... more
Automating redesign is an approach for engineering designers to prevent design related manufacturability problems in early product development and thus reduce costly design iterations. A vast amount of work exists, with most research... more
The actual product ownership often remains with the manufacturer as functional (total care) products emerge in aerospace business agreements. The business risk is then transferred to the manufacturer why downstream knowledge needs to be... more
Increasingly, manufacturers become service providers rather than product providers. In this work, a framework based on industrial studies is suggested for developing product service system. The framework is represented by six life cycle... more
The objective of this paper is to discuss how Knowledge Enabled Engineering, when combined with simulation methods is a development step for product development processes, engineering design methods and evaluation support systems. The... more
The actual product ownership often remains with the manufacturer as functional (total care) products emerge in aerospace business agreements. The business risk is then transferred to the manufacturer why downstream knowledge needs to be... more
Automating redesign is an approach for engineering designers to prevent design related manufacturability problems in early product development and thus reduce costly design iterations. A vast amount of work exists, with most research... more
Automating redesign is an approach for engineering designers to prevent design related manufacturability problems in early product development and thus reduce costly design iterations. A vast amount of work exists, with most research... more
Product-Service Systems (PSS) introduces the possibility to change into a resultoriented perspective of product development. This means a focus on ‘performance of the product’, rather than on the standalone goods. Also, PSS is foreseen to... more
By being aware of and reusing knowledge in the form of expertise and engineering know-how throughout the whole organization large time-savings can be made. The knowledge allows for alternative studies where different configurations can be... more
The actual product ownership often remains with the manufacturer as functional (total care) products emerge in aerospace business agreements. The business risk is then transferred to the manufacturer why downstream knowledge needs to be... more
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