Kobkaew Opasjumruskit

In MBSE tools, components (products) parameters are usually added by hand. To mitigate such a tedious and error-prone task, we need to have a common structure of product description that is machine-readable. The structured product description, e.g. an ontology, can be further used to create API, database schema, etc. In this talk we will present our spacecraft-parts ontology from the technical point of view, as well as the possible use cases and the lesson learned so far

In engineering design projects, engineers have to enter component data into their design tools. This process is usually manual, because even though data sheets are mostly provided in digital format (e.g. PDF files), the data is not machine-readable. Furthermore, the data sheets follow no standard in terms of design and terminology, resulting in misunderstanding and lack of data provenance information. Ideally, all component suppliers would offer data in machine-readable, standard format. However, this is an unrealistic scenario, at least for the time being. Using computer-aided methods to handle data sheets is the next best approach. To implement the automated information extraction from the data sheets, domain ontologies can be used. However, ontologies rely solely on the experiences and perspectives of their creators at the time of creation. To automate the evolution of ontologies, we developed a system -- ConTrOn (Continuously Trained Ontology) -- that automatically enriches them...

Poster GFBio-07 from the GFBio General Assembly 2021 of "Work Package 3 - Data Access and Analyzes" of the GFBio Project summarizing the projects and subtasks work and outcome between 2013 and 2021. The Portal https://www.gfbio.org is the single point of entry for all steps in the Data Lifecycle: Dataset Search, Data Submission, Visualization, Data Management Planning, Training, Workbenches & Tools, Terminology Service. GFBio's search enables scholars to retrieve datasets from multiple archives and data repositories. The developed search interface -[Dai:Si] - allows an easy usage and presents search results in a user-friendly and comprehensive view.

This data set was created in a semi-supervised manner to support the MWPD challenge at the ISWC 2020. For further information, see: Borst, Janos and Koerner, Erik and Opasjumruskit, Kobkaew and Niekler, Andreas (2020) Language Model CNN-driven similarity matching and classification for HTML-embedded Product Data. ISWC 2020, Online http://ceur-ws.org/Vol-2720/paper5.pdf .

Web service descriptions with Semantic Web annotations can be exploited to automate dynamic discovery of services. The approaches introduced aim at enabling automatic discovery, configuration, and execution of services in dynamic environments. In this chapter, the authors present the service discovery aspect of MERCURY, a platform for straightforward, user-centric integration and management of heterogeneous devices and services via a Web-based interface. In the context of MERCURY, they use service discovery to find appropriate sensors, services, or actuators to perform a certain functionality required within a user-defined scenario (e.g., to obtain the temperature at a certain location, book a table at a restaurant close to the location of all friends involved, etc.). A user will specify a service request, which will be fed to a matchmaker, which compares the request to existing service offers and ranks these offers based on how well they match the service request. In contrast to ex...

Mobile devices are everywhere. In our personal environment we own and utilize a heterogeneous infrastructure of simple sensors, actuators and services. While there are compelling scenarios how an integration of all these devices into one coherent system would benefit users [GT09] and while it is possible to realize individual such scenarios with today’s technology, existing solutions are not generic, but rather geared towards individual scenarios. Even worse, in order to take advantage of these solutions, users need signifant IT knowledge and are thus not accessible to the average, non-IT user. MERCURY, a joint project of the Institute of Computer Science at FSU Jena and the IBM Deutschland Research & Development GmbH in Boeblingen, aims at addressing both issues. In the remainder of this paper, based on a concrete example scenario, we will identify requirements to such a solution and will check in how far they are met by the most closely related existing approaches. From this, we w...

Professionals of many disciplines are involved in a spacecraft mission. They all use different software tools that are tailored to their tasks and they share data in various ways among themselves. These data sharing activities form a network, which, given modern software engineering practices, offers a lot of opportunities for improvement: simplify data source discoverability, automate previously manual data sharing activities, and better make use available data sources. To simplify data source discoverability, we propose a digital platform with a serviceoriented architecture. Such an architecture also helps to better make use of available data sources. Additionally, we present our projects that automate previously manual data sharing activities and that make better use of available data sources. With the development of the digital platform we aim at providing a significant reduction in resource expenditure, especially time expenditure, for spacecraft missions.

In engineering projects involving various parts from global suppliers, one common task is to determine which parts are best suited for the project requirements. Information about specific parts' characteristics is published in so called data sheets. However, these data sheets are oftentimes only published in textual form, e.g., as a PDF. Hence, they have to be transformed into a machine-interpretable format. This transformation process still requires a lot of manual intervention and is prone to errors. Automated approaches make use of ontologies to capture the given domain and thus improve automated information extraction from the data sheets. However, ontologies rely solely on experiences and perspectives of their creators at the time of creation and cannot accumulate knowledge over time on their own. This paper presents ConTrOn -- Continuously Trained Ontology -- a system that automatically augments ontologies. ConTrOn tackles terminology problems by combining the knowledge ex...

Ontologies can help in the digitalization of engineering design processes. We focus on the design and development of spacecraft, in particular on archiving and discovery of spacecraft part specifications. We created an ontology that is used as a skeleton for creating database schemas and data exchange APIs as well as populating a knowledge graph. However, the development of an ontology from scratch is a rather laborious task. We have to consider various sources of information, such as existing space-system standards, product specifications provided by manufacturers, and actual consumers, i.e. engineers involved in the design process each with their own perspective. Furthermore, these documents and demands are changing more and more frequently due to new disruptive technologies and an increasing competition in the space business. We aim to close the gap between the tedious process of manual ontology development and fast-paced spacecraft parts development. Due to the lack of machine r...

Current engineering design processes oftentimes involve transferring information from manufacturer-provided data sheets into domainspecific design tools. While most data sheets are provided only as PDF files, this remains a tedious and manual task. This paper presents the Data Sheets Annotation Tool (DSAT), which assists engineers in gathering the information required in the design process. Using an OntologyBased Information Extraction (OBIE) method, the properties of components are extracted from data sheets and subsequently presented in an integrated, web-based interface. Engineers can now review and correct these automatic annotations, before exporting them for further use. In the demonstration, we employ a real-world use case rooted in modelbased space-system engineering. We show how the automated process can extract relevant component-attributes from technical data sheets and how users can redact the results. We further highlight the impact of content and quality of the underly...

This paper presents a new low-voltage and lowpower amplifier based on the class-AB differential log-companding technique. The circuit has been designed using a 0.25 m CMOS process. The proposed amplifier consumes less than 3.2 W from 0.6 V supply voltage at the maximum input current. The CMRR of this circuit is 35.76 dB; thus, it has very high performance in eliminating the common mode signal. The presented technique can be applied to many applications, such as filter, reference voltage, rectifier, etc.

In this paper, we present MERCURY, a platform for simple integration and management of heterogeneous devices and services via a web-based interface. In contrast to existing approaches, MERCURY is geared towards non-IT-savvy end users. It enables these end users to easily interconnect devices, which can act as sensors or actuators, to model rules that trigger actions. Sets of rules allow users to model entire, often reoccurring, scenarios. It shall thus enable users to take full advantage of the potential for support in everyday life such integration offers. Technically, our solution is based on Portal technology. We describe a tangible scenario to portray the steps a user will need to take to achieve the desired functionality.

Nowadays, the Internet of Things (IoT) is becoming progressively colloquial to media. However, when there are trillions of resources out there, how can we spontaneously specify the resource we need? Therefore, one of the main research questions is the device and service discovery. Many standard web services descriptions are used to describe not only web services but also physical devices. These devices are encapsulated under the web service communication layer to make them available on the Internet. This technique enables automatic discovery, configuration, and execution of resources in dynamic environments. Thus, we focus on the resource description language that allows semantic annotation. Nevertheless, there is no single standard formalism to describe resources. It is more tactful to handle multiple description formalisms simultaneously. This thesis presents a cross-formalism resource discovery technique which utilizes the user context and resources context to improve the recomme...

Many engineering projects involve the integration of various hardware parts from different suppliers. In preparation, parts that are best suited for the project requirements have to be selected. Information on these parts’ characteristics is published in so called data sheets usually only available in textual form, e.g. as PDF files. To realize the automated processing, these characteristics have to be extracted into a machine-interpretable format. Such a process requires a lot of manual intervention and is prone to errors. Domain ontologies, among other approaches, can be used to implement the automated information extraction from the data sheets. However, ontologies rely solely on the experiences and perspectives of their creators at the time of creation. To automate the evolution of ontologies, we developed ConTrOn Continuously Trained Ontology that automatically extracts information from data sheets to augment an ontology created by domain experts. The evaluation results of ConT...

While literature portals in the biomedical domain already enhance their search applications with ontological concepts, data portals offering biological primary data still use a classical keyword search. Similar to publications, biological primary data are described along meta information such as author, title, location and time which is stored in a separate file in XML format. Here, we introduce a semantic search for biological data based on metadata files. The search is running over 4.6 million datasets from GFBio - The German Federation for Biological Data (GFBio, https://www.gfbio.org), a national infrastructure for long-term preservation of biological data. The semantic search method used is query expansion. Instead of looking for originally entered keywords the search terms are expanded with related concepts from different biological vocabularies. Hosting our own Terminology Service with vocabularies that are tailored to the datasets, we demonstrate how ontological concepts are integrated into the search and how it improves the search result.

This paper presents a new low-voltage and low- power amplifier based on the class-AB differential log-companding technique. The circuit has been designed using a 0.25 m CMOS process . The proposed amplifier consumes less than 3.2 W from 0.6 V supply voltage at the maximum input current. The CMRR of this circuit is 35.76 dB; thus, it has very high