Diese Datenbank enthält über 40.000 Dokumente zu Themen aus den Bereichen Formalerschließung – Inhaltserschließung – Information Retrieval.
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1Peponakis, M. ; Mastora, A. ; Kapidakis, S. ; Doerr, M.: Expressiveness and machine processability of Knowledge Organization Systems (KOS) : an analysis of concepts and relations.
In: International journal on digital libraries. 20(2020) no.4, S.433-452.
Abstract: This study considers the expressiveness (that is the expressive power or expressivity) of different types of Knowledge Organization Systems (KOS) and discusses its potential to be machine-processable in the context of the Semantic Web. For this purpose, the theoretical foundations of KOS are reviewed based on conceptualizations introduced by the Functional Requirements for Subject Authority Data (FRSAD) and the Simple Knowledge Organization System (SKOS); natural language processing techniques are also implemented. Applying a comparative analysis, the dataset comprises a thesaurus (Eurovoc), a subject headings system (LCSH) and a classification scheme (DDC). These are compared with an ontology (CIDOC-CRM) by focusing on how they define and handle concepts and relations. It was observed that LCSH and DDC focus on the formalism of character strings (nomens) rather than on the modelling of semantics; their definition of what constitutes a concept is quite fuzzy, and they comprise a large number of complex concepts. By contrast, thesauri have a coherent definition of what constitutes a concept, and apply a systematic approach to the modelling of relations. Ontologies explicitly define diverse types of relations, and are by their nature machine-processable. The paper concludes that the potential of both the expressiveness and machine processability of each KOS is extensively regulated by its structural rules. It is harder to represent subject headings and classification schemes as semantic networks with nodes and arcs, while thesauri are more suitable for such a representation. In addition, a paradigm shift is revealed which focuses on the modelling of relations between concepts, rather than the concepts themselves.
Inhalt: Vgl.: https://doi.org/10.1007/s00799-019-00269-0. Vgl. auch: https://www.researchgate.net/publication/339873131_Expressiveness_and_machine_processability_of_Knowledge_Organization_Systems_KOS_An_analysis_of_concepts_and_relations.
Themenfeld: Semantische Interoperabilität ; Wissensrepräsentation
Objekt: FRSAD ; SKOS ; DDC ; CIDOC-CRM ; LCSH ; Eurovoc
2Vlachidis, A. ; Tudhope, D.: ¬A knowledge-based approach to information extraction for semantic interoperability in the archaeology domain.
In: Journal of the Association for Information Science and Technology. 67(2016) no.5, S.1138-1152.
Abstract: The article presents a method for automatic semantic indexing of archaeological grey-literature reports using empirical (rule-based) Information Extraction techniques in combination with domain-specific knowledge organization systems. The semantic annotation system (OPTIMA) performs the tasks of Named Entity Recognition, Relation Extraction, Negation Detection, and Word-Sense Disambiguation using hand-crafted rules and terminological resources for associating contextual abstractions with classes of the standard ontology CIDOC Conceptual Reference Model (CRM) for cultural heritage and its archaeological extension, CRM-EH. Relation Extraction (RE) performance benefits from a syntactic-based definition of RE patterns derived from domain oriented corpus analysis. The evaluation also shows clear benefit in the use of assistive natural language processing (NLP) modules relating to Word-Sense Disambiguation, Negation Detection, and Noun Phrase Validation, together with controlled thesaurus expansion. The semantic indexing results demonstrate the capacity of rule-based Information Extraction techniques to deliver interoperable semantic abstractions (semantic annotations) with respect to the CIDOC CRM and archaeological thesauri. Major contributions include recognition of relevant entities using shallow parsing NLP techniques driven by a complimentary use of ontological and terminological domain resources and empirical derivation of context-driven RE rules for the recognition of semantic relationships from phrases of unstructured text.
Inhalt: Vgl.: http://onlinelibrary.wiley.com/doi/10.1002/asi.23485/abstract.
Themenfeld: Semantische Interoperabilität ; Automatisches Indexieren ; Wissensrepräsentation
Objekt: OPTIMA ; CIDOC-CRM
3Park, H. ; Smiraglia, R.P.: Enhancing data curation of cultural heritage for information sharing : a case study using open Government data.
In: Metadata and semantics research: 8th Research Conference, MTSR 2014, Karlsruhe, Germany, November 27-29, 2014, Proceedings. Eds.: S. Closs et al. Cham : Springer, 2014. S.95-106.
(Communications in computer and information science; 478)
Abstract: The purpose of this paper is to enhance cultural heritage data curation. A core research question of this study is how to share cultural heritage data by using ontologies. A case study was conducted using open government data mapped with the CIDOC-CRM (Conceptual Reference Model). Twelve library-related files in unstructured data format were collected from an open government website, Seoul Metropolitan Government of Korea (http://data.seoul.go.kr). By using the ontologies of the CIDOC CRM 5.1.2, we conducted a mapping process as a way of enhancing cultural heritage information to share information as a data component. We graphed each file then mapped each file in tables. Implications of this study are both the enhanced discoverability of unstructured data and the reusability of mapped information. Issues emerging from this study involve verification of detail for complete compatibility without further input from domain experts.