Content extraction of historical Malay manuscripts based on Event Ontology Framework

This article aims to explore representation of the content knowledge of historical Malay manuscripts by extracting the event features using an event ontology framework. The manuscript used during the testing is Sulalatus Salatin (Sejarah Melayu ) by Abdul Ahmad Samad and it was published at University of Malaya Digital Library database. In aligning to a domain-specific ontology, the Simple Event Model (SEM) model is adopted and an event-based ontology for historical Malay manuscripts is designed. Information extraction approach is done manually to extract events from the manuscript and mapped into Protégé editor. Competency questions were constructed and submitted to the Protégé editor using SPARQL to check the ontology capability of providing answers as well as to examine its correctness. Event-based ontology model assists in discovering and representing the content knowledge of historical Malay manuscripts and supports organisation of knowledge. All the main concepts are extracted from selected Malay manuscript and 17 concepts used to develop the event-based ontology model. The knowledge was verified by three domain experts in Malay manuscript. In the findings, the interrater reliability for Event and Actor instances is 84%, which means 16% of instances and its type are incorrect and need amendment. For Place, interrater reliability is 95% and 99% for Role. Meanwhile, the experts achieved 100% agreement for Time. In addition, the experts agreed that the concepts, properties and instances for Malay Manuscript Ontology and complied with the criteria of consistency, completeness, conciseness, expandability and ease of use. The development of the event-based model of an ontology-based system with a high level of semantic granularity reflects the various cultural riches and intellectual aspect stored in Malay manuscripts. This will enable systematic research of the knowledge embedded in the manuscripts and make it widely and easily accessible by everyone.

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An Event Ontology Model Research for Environmental Pollution Emergencies

International Journal of Ambient Computing and Intelligence ◽

10.4018/ijaci.2020100103 ◽

2020 ◽

Vol 11 (4) ◽

pp. 38-56

Author(s):

Sha Wang ◽

Qiong Peng ◽

Hua Liang

Keyword(s):

Environmental Pollution ◽

Description Logic ◽

Model Structure ◽

Domain Specific ◽

Ontology Model ◽

Model Research ◽

Speed Up ◽

Event Model ◽

Event Ontology ◽

Process Event

In the modeling process, event ontology design pattern (EODP) is a solution to recurring the same error scheme. It can speed up the construction of event ontology and avoid design ambiguity. A general event model structure is proposed in this paper. In the absence of domain-specific vocabulary, the model structure can represent the most general event information in web text. Based on this, the concept of event ontology mode and the method of extracting event ontology mode are proposed, and the method is used to establish the environmental pollution emergency ontology mode based on shared vocabulary. Finally, the ontology model of environmental pollution emergencies was formalized by using description logic, and the domain event ontology model was implemented by using the event ontology model to verify its validity and conceptual consistency.

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Linking historical collections in an event-based ontology

Digital Library Perspectives ◽

10.1108/dlp-02-2018-0005 ◽

2018 ◽

Vol 34 (4) ◽

pp. 262-275

Author(s):

Qing Zou ◽

Eun G. Park

Keyword(s):

Historical Documents ◽

Formal Ontology ◽

Basic Formal Ontology ◽

Content Type ◽

Historical Collections ◽

Domain Specific ◽

Different Types ◽

Biographical Sketches ◽

Event Ontology ◽

Event Based

PurposeThis study aims to explore a way of representing historical collections by examining the features of an event in historical documents and building an event-based ontology model.Design/methodology/approachTo align with a domain-specific and upper ontology, the Basic Formal Ontology (BFO) model is adopted. Based on BFO, an event-based ontology for historical description (EOHD) is designed. To define events, event-related vocabularies are taken from the Library of Congress’ event types (2012). The three types of history and six kinds of changes are defined.FindingsThe EOHD model demonstrates how to apply the event ontology to biographical sketches of a creator history to link event types.Research limitations/implicationsThe EOHD model has great potential to be further expanded to specific events and entities through different types of history in a full set of historical documents.Originality/valueThe EOHD provides a framework for modeling and semantically reforming the relationships of historical documents, which can make historical collections more explicitly connected in Web environments.

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SchenQL: in-depth analysis of a query language for bibliographic metadata

International Journal on Digital Libraries ◽

10.1007/s00799-021-00317-8 ◽

2021 ◽

Author(s):

Christin Katharina Kreutz ◽

Michael Wolz ◽

Jascha Knack ◽

Benjamin Weyers ◽

Ralf Schenkel

Keyword(s):

Information Needs ◽

User Study ◽

Query Language ◽

Information Access ◽

Domain Experts ◽

Domain Specific ◽

Complex Information ◽

Depth Analysis ◽

Information Exploration ◽

High Level

AbstractInformation access to bibliographic metadata needs to be uncomplicated, as users may not benefit from complex and potentially richer data that may be difficult to obtain. Sophisticated research questions including complex aggregations could be answered with complex SQL queries. However, this comes with the cost of high complexity, which requires for a high level of expertise even for trained programmers. A domain-specific query language could provide a straightforward solution to this problem. Although less generic, it can support users not familiar with query construction in the formulation of complex information needs. In this paper, we present and evaluate SchenQL, a simple and applicable query language that is accompanied by a prototypical GUI. SchenQL focuses on querying bibliographic metadata using the vocabulary of domain experts. The easy-to-learn domain-specific query language is suitable for domain experts as well as casual users while still providing the possibility to answer complex information demands. Query construction and information exploration are supported by a prototypical GUI. We present an evaluation of the complete system: different variants for executing SchenQL queries are benchmarked; interviews with domain-experts and a bipartite quantitative user study demonstrate SchenQL’s suitability and high level of users’ acceptance.

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High Level Definition of Event-Based Applications for Pervasive Systems

Advanced Design Approaches to Emerging Software Systems ◽

10.4018/978-1-60960-735-7.ch007 ◽

2011 ◽

pp. 128-172

Author(s):

Steffen Ortmann ◽

Michael Maaser ◽

Peter Langendoerfer

Keyword(s):

Energy Efficiency ◽

Real Life ◽

Ease Of Use ◽

Design Flow ◽

Sensor Nodes ◽

Definition Of ◽

High Level ◽

Event Based ◽

New Applications

Within pervasive intelligent environments, Wireless Sensor Networks (WSNs) will surround and serve us at any place and any time. A proper usability is considered essential for WSNs supporting real life applications. With this chapter, we aim at ease of use for specifying new applications that have to autonomously cope with expected and unexpected heterogeneity, sudden failures, and energy efficiency. Starting with general design criteria for applications in WSNs, we created a user-centric design flow for pervasive applications. The design flow provides very high abstraction and user guidance to refrain the user from implementation-, deployment- and hardware-details including heterogeneity of the available sensor nodes. Automatic event configuration is accomplished by using a flexible Event Specification Language (ESL) and Event Decision Trees (EDTs) for distributed detection and determination of real world phenomena. EDTs autonomously adapt to heterogeneous availability of sensing capabilities by pruning and subscription to other nodes for missing information. We present one of numerous simulated scenarios proving the robustness and energy efficiency with regard to the required network communications. From these, we learned how to deduce appropriate bounds for configuration of collaboration region and leasing time by asking for expected properties of the phenomena to be detected.

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Design and Implementation of a Domain Specific Language for Phylogenetic Inference

Journal of Bioinformatics and Computational Biology ◽

10.1142/s0219720003000101 ◽

2003 ◽

Vol 01 (02) ◽

pp. 201-230 ◽

Cited By ~ 3

Author(s):

Enrico Pontelli ◽

Desh Ranjan ◽

Gopal Gupta ◽

Brook Milligan

Keyword(s):

Denotational Semantics ◽

Phylogenetic Inference ◽

Domain Specific Language ◽

Specific Language ◽

Domain Experts ◽

Domain Specific ◽

Level Of Abstraction ◽

Inference Problems ◽

High Level ◽

Very High

Domain experts think and reason at a high level of abstraction when they solve problems in their domain of expertise. We present the design and motivation behind a domain specific language, called ΦLOG, to enable biologists to program solutions to phylogenetic inference problems at a very high level of abstraction. The implementation infrastructure (interpreter, compiler, debugger) for the DSL is automatically obtained through a software engineering framework based on Denotational Semantics and Logic Programming.

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Effects of Teachers’ Professional Knowledge and Their Use of Three-Dimensional Physical Models in Biology Lessons on Students’ Achievement

Education Sciences ◽

10.3390/educsci8030118 ◽

2018 ◽

Vol 8 (3) ◽

pp. 118

Author(s):

Sonja Förtsch ◽

Christian Förtsch ◽

Lena von Kotzebue ◽

Birgit Neuhaus

Keyword(s):

Content Knowledge ◽

Secondary School Teachers ◽

Three Dimensional ◽

Professional Knowledge ◽

Physical Models ◽

Pedagogical Content ◽

Domain Specific ◽

Quantitative Sample ◽

High Level ◽

Positive Effect

Using three-dimensional physical models elaborately in their learning, students can develop high-level understanding of models and modeling in science, thereby attaining higher achievement. However, there are in the literature few indications of how teachers should use three-dimensional physical models in instruction and whether teachers’ professional knowledge is a prerequisite for teaching with elaborate use of models. Therefore, our study used a mixed-methods approach to analyze the effects of biology teachers’ domain-specific pedagogical content knowledge (PCK) and content knowledge (CK) on students’ achievement mediated by elaborate model use (ELMO). Our quantitative sample comprised 36 German secondary school teachers whose lessons on the topic of neurobiology were videotaped twice (N = 72 lessons). Teachers completed professional knowledge tests on their PCK and CK. Students’ achievement was measured using pre- and post-knowledge tests. Our qualitative analysis involved five selected teachers according to aspects of ELMO. The results of our study indicated that teachers’ PCK and CK had no direct effect on students’ achievement. However, teachers’ PCK had a significant indirect and positive effect on students’ achievement mediated by ELMO. The findings of our study can provide teachers and researchers examples of how to implement biology instruction with elaborate use of three-dimensional physical models.

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A Taxonomy for Psycho-Oncological Intervention Techniques in an Acute Care Hospital in Germany

Oncology Research and Treatment ◽

10.1159/000517532 ◽

2021 ◽

pp. 1-7

Author(s):

Martina Madl ◽

Marietta Lieb ◽

Katharina Schieber ◽

Tobias Hepp ◽

Yesim Erim

Keyword(s):

Acute Care ◽

Interrater Reliability ◽

Acute Care Hospital ◽

Future Research ◽

Systematic Research ◽

Care Hospital ◽

Certification System ◽

Stepwise Procedure ◽

Further Development

Background: Due to the establishment of a nationwide certification system for cancer centers in Germany, the availability of psycho-oncological services for cancer patients has increased substantially. However, little is known about the specific intervention techniques that are applied during sessions in an acute care hospital, since a standardized taxonomy is lacking. With this study, we aimed at the investigation of psycho-oncological intervention techniques and the development of a comprehensive and structured taxonomy thereof. Methods: In a stepwise procedure, a team of psycho-oncologists generated a data pool of interventions and definitions that were tested in clinical practice during a pilot phase. After an adaptation of intervention techniques, interrater reliability (IRR) was attained by rating 10 previously recorded psycho-oncological sessions. A classification of interventions into superordinate categories was performed, supported by cluster analysis. Results: Between April and June 2017, 980 psycho-oncological sessions took place. The experts agreed on a total number of 22 intervention techniques. An IRR of 89% for 2 independent psycho-oncological raters was reached. The 22 techniques were classified into 5 superordinate categories. Discussion/Conclusion: We developed a comprehensive and structured taxonomy of psycho-oncological intervention techniques in an acute care hospital that provides a standardized basis for systematic research and applied care. We expect our work to be continuously subjected to further development: future research should evaluate and expand our taxonomy to other contexts and care settings.

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Towards a Domain-Specific Modeling Language for Extracting Event Logs from ERP Systems

Applied Sciences ◽

10.3390/app11125476 ◽

2021 ◽

Vol 11 (12) ◽

pp. 5476

Author(s):

Ana Pajić Simović ◽

Slađan Babarogić ◽

Ognjen Pantelić ◽

Stefan Krstović

Keyword(s):

Process Mining ◽

Modeling Language ◽

Sufficient Information ◽

Event Data ◽

Erp Systems ◽

Domain Experts ◽

Domain Specific ◽

Event Logs ◽

Domain Specific Modeling ◽

Specific Modeling

Enterprise resource planning (ERP) systems are often seen as viable sources of data for process mining analysis. To perform most of the existing process mining techniques, it is necessary to obtain a valid event log that is fully compliant with the eXtensible Event Stream (XES) standard. In ERP systems, such event logs are not available as the concept of business activity is missing. Extracting event data from an ERP database is not a trivial task and requires in-depth knowledge of the business processes and underlying data structure. Therefore, domain experts require proper techniques and tools for extracting event data from ERP databases. In this paper, we present the full specification of a domain-specific modeling language for facilitating the extraction of appropriate event data from transactional databases by domain experts. The modeling language has been developed to support complex ambiguous cases when using ERP systems. We demonstrate its applicability using a case study with real data and show that the language includes constructs that enable a domain expert to easily model data of interest in the log extraction step. The language provides sufficient information to extract and transform data from transactional ERP databases to the XES format.

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Distributed Simulation Platforms and Data Passing Tools for Natural Hazards Engineering: Reviews, Limitations, and Recommendations

International Journal of Disaster Risk Science ◽

10.1007/s13753-021-00361-7 ◽

2021 ◽

Author(s):

Lichao Xu ◽

Szu-Yun Lin ◽

Andrew W. Hlynka ◽

Hao Lu ◽

Vineet R. Kamat ◽

...

Keyword(s):

Natural Hazards ◽

Data Exchange ◽

Distributed Simulation ◽

Distributed Data ◽

Interactive Simulation ◽

Integrated Simulation ◽

Domain Specific ◽

Advantages And Disadvantages ◽

High Level ◽

Data Passing

AbstractThere has been a strong need for simulation environments that are capable of modeling deep interdependencies between complex systems encountered during natural hazards, such as the interactions and coupled effects between civil infrastructure systems response, human behavior, and social policies, for improved community resilience. Coupling such complex components with an integrated simulation requires continuous data exchange between different simulators simulating separate models during the entire simulation process. This can be implemented by means of distributed simulation platforms or data passing tools. In order to provide a systematic reference for simulation tool choice and facilitating the development of compatible distributed simulators for deep interdependent study in the context of natural hazards, this article focuses on generic tools suitable for integration of simulators from different fields but not the platforms that are mainly used in some specific fields. With this aim, the article provides a comprehensive review of the most commonly used generic distributed simulation platforms (Distributed Interactive Simulation (DIS), High Level Architecture (HLA), Test and Training Enabling Architecture (TENA), and Distributed Data Services (DDS)) and data passing tools (Robot Operation System (ROS) and Lightweight Communication and Marshalling (LCM)) and compares their advantages and disadvantages. Three specific limitations in existing platforms are identified from the perspective of natural hazard simulation. For mitigating the identified limitations, two platform design recommendations are provided, namely message exchange wrappers and hybrid communication, to help improve data passing capabilities in existing solutions and provide some guidance for the design of a new domain-specific distributed simulation framework.

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