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In our paper, we present a case study on the quality of concept relations in the manually developed terminological resource of grammis, an information system on German grammar. We assess a SKOS representation of the resource using the tool qSKOS, create a typology of the issues identified by the tool, and conduct a qualitative analysis of selected cases. We identify and discuss aspects that can motivate quality issues and uncover that ill-formed relations are frequently indicative of deeper issues in the data model. Finally, we outline how these findings can inform improvements in our resource’s data model, discussing implications for the machine readability of terminological data.
Question Answering Systems for retrieving information from Knowledge Graphs (KG) have become a major area of interest in recent years. Current systems search for words and entities but cannot search for grammatical phenomena. The purpose of this paper is to present our research on developing a QA System that answers natural language questions about German grammar.
Our goal is to build a KG which contains facts and rules about German grammar, and is also able to answer specific questions about a concrete grammatical issue. An overview of the current research in the topic of QA systems and ontology design is given and we show how we plan to construct the KG by integrating the data in the grammatical information system Grammis, hosted by the Leibniz-Institut für Deutsche Sprache (IDS). In this paper, we describe the construction of the initial KG, sketch our resulting graph, and demonstrate the effectiveness of such an approach. A grammar correction component will be part of a later stage. The paper concludes with the potential areas for future research.
Terminological resources play a central role in the organization and retrieval of scientific texts. Both simple keyword lists and advanced modelings of relationships between terminological concepts can make a most valuable contribution to the analysis, classification, and finding of appropriate digital documents, either on the web or within local repositories. This seems especially true for long-established scientific fields with elusive theoretical and historical branches, where the use of terminology within documents from different origins is often far from being consistent. In this paper, we report on the progress of a linguistically motivated project on the onomasiological re-modeling of the terminological resources for the grammatical information system grammis. We present the design principles and the results of their application. In particular, we focus on new features for the authoring backend and discuss how these innovations help to evaluate existing, loosely structured terminological content, as well as to efficiently deal with automatic term extraction. Furthermore, we introduce a transformation to a future SKOS representation. We conclude with a positioning of our resources with regard to the Knowledge Organization discourse and discuss how a highly complex information environment like grammis benefits from the re-designed terminological KOS.
The grammatical information system grammis combines descriptive texts on German grammar with dictionaries of specific word classes and grammatical terminology. In this paper, we describe the first attempts at analyzing user behavior for an online grammar of the German language and the implementation of an analysis and data extraction tool based on Matomo, a web analytics tool. We focus on the analysis of the keywords the users search for, either within grammis or via an external search platform like Google, and the analysis of the interaction between the text components within grammis and the integrated dictionaries. The overall results show that about 50% of the searches are for grammatical terms, and that the users shift from texts to dictionaries, mainly by using the integrated links to the dictionary of terminology within the texts. Based on these findings, we aim to improve grammis by extending its integrated dictionaries.
In this paper, we present our approach to automatically extracting German terminology in the domain of grammar using texts from the online information system grammis as our corpus. We analyze existing repositories of German grammatical terminology and develop Part-of-speech patterns for our extraction thereby showing the importance of unigrams in this domain. We contrast the results of the automatic extraction with a manually extracted standard. By comparing the performance of well-known statistical measures, we show how measures based on corpus comparison outperform alternative methods.
The main objective of this article is to describe the current activities at the Mannheim Institute for German Language regarding the implementation of a domain-specific ontology for German grammar. We differentiate ontology bases from ontology management Systems, point out the benefits of database-driven Solutions, and go Step by Step through all phases of the ontology lifecycle. In Order to demonstrate the practical use of our approach, we outline the interface between our ontology and the grammis web Information System, and compare the ontology-based retrieval mechanism with traditional full text search.