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KO KNOWLEDGE ORGANIZATION Contents Knowl. Org. 47(2020)No.2 KO KNOWLEDGE ORGANIZATION Official Journal of the International Society for Knowledge Organization ISSN 0943 – 7444 International Journal devoted to Concept Theory, Classification, Indexing and Knowledge Representation Contents 16th International ISKO Conference Reviews of Concepts in Knowledge Organization (Aalborg, Denmark, 6-8 July 2020) ....................................... 103 Peter Ohly. General Assembly July 2020. Ingetraut Dahlberg (1927-2017) ............................................... 173 Provisional Agenda .................................................................. 104 Heather Dunn and Paul Bourcier. Articles Nomenclature for Museum Cataloging ..................................... 183 Wie Wei, Yi-Ping Liu and Lei-Ru Wei. Books Recently Published ...................................................... 195 Feature-Level Sentiment Analysis Based on Rules and Fine-Grained Domain Ontology ....................................... 105 Carlos H. Marcondes. Towards a Vocabulary to Implement Culturally Relevant Relationships Between Digital Collections in Heritage Institutions ............................................................... 122 Prasant Kumar Sinha and Biswanath Dutta. A Systematic Analysis of Flood Ontologies: A Parametric Approach .............................................................. 138 Marcin Roszkowski. The Sociological and Ontological Dimensions of the Knowledge Organization Domain on Google Scholar Citations .......................................................................... 160 Knowl. Org. 47(2020)No.2 KNOWLEDGE ORGANIZATION KO Official Journal of the International Society for Knowledge Organization ISSN 0943 – 7444 International Journal devoted to Concept Theory, Classification, Indexing and Knowledge Representation Contents pages Wei, Wei, Yi-Ping Liu and Lei-Ru Wei. 2020. “Feature-level Sen- Sinha, Prashant Kumar and Biswanath Dutta. 2020. “A System- timent Analysis Based on Rules and Fine-Grained Domain On- atic Analysis of Flood Ontologies: A Parametric Approach.” tology.” Knowledge Organization 47(2): 105-121. 44 references. Knowledge Organization 47(2): 138-159. 63 references. DOI:10.57 DOI:10.5771/0943-7444-2020-2-105. 71/0943-7444-2020-2-138. Abstract: Mining product reviews and sentiment analysis are of Abstract: The article identifies the core literature available on great significance, whether for academic research purposes or op- flood ontologies and presents a review on these ontologies from timizing business strategies. We propose a feature-level sentiment various perspectives like its purpose, type, design methodologies, analysis framework based on rules parsing and fine-grained do- ontologies (re)used, and also their focus on specific flood disaster main ontology for Chinese reviews. Fine-grained ontology is phases. The study was conducted in two stages: i) literature iden- used to describe synonymous expressions of product features, tification, where the systematic literature review methodology which are reflected in word changes in online reviews. First, a was employed; and, ii) ontological review, where the parametric semiautomatic construction method is developed by using approach was applied. The study resulted in a set of fourteen Word2Vec for fine-grained ontology. Then, feature-level senti- papers discussing the flood ontology (FO). The ontological re- ment analysis that combines rules parsing and the fine-grained view revealed that most of the flood ontologies were task ontol- domain ontology is conducted to extract explicit and implicit fea- ogies, formal, modular, and used web ontology language (OWL) tures from product reviews. Finally, the domain sentiment dic- for their representation. The most (re)used ontologies were tionary and context sentiment dictionary are established to iden- SWEET, SSN, Time, and Space. METHONTOLOGY was the tify sentiment polarities for the extracted feature-sentiment com- preferred design methodology, and for evaluation, application- binations. An experiment is conducted on the basis of product re- based or data-based approaches were preferred. The majority of views crawled from Chinese e-commerce websites. The results the ontologies were built around the response phase of the dis- demonstrate the effectiveness of our approach. aster. The unavailability of the full ontologies somewhat re- stricted the current study as the structural ontology metrics are missing. But the scientific community, the developers, of flood Marcondes, Carlos H. 2020. “Towards a Vocabulary to Implement- disaster management systems can refer to this work for their re- Culturally Relevant Relationships between Digital Collectionsin search to see what is available in the literature on flood ontology Heritage Institutions.” Knowledge Organization 47(2): 122-137. 44 ref- and the other major domains essential in building the FO. erences. DOI:10.5771/0943-7444-2020-2-122. Abstract: Cultural heritage institutions are publishing their digi- Roszkowski, Marcin. 2020. “The Sociological and Ontological tal collections over the web as LOD. This is is a new step in the Dimensions of the Knowledge Organization Domain on Google patrimonialization and curatorial processes developed by such in- Scholar Citations.” Knowledge Organization 47(2): 160-172. 35 ref- stitutions. Many of these collections are thematically superim- erences. DOI:10.5771/0943-7444-2020-2-160. posed and complementary. Frequently, objects in these collec- tions present culturally relevant relationships, such as a book Abstract: This study aims to identify the profiles of researchers about a painting, or a draft or sketch of a famous painting, etc. in the knowledge organization domain on Google Scholar Cita- LOD technology enables such heritage records to be interlinked, tions (GSC) and investigate its sociological and ontological di- achieving interoperability and adding value to digital collections, mensions. The sociological dimension is related to GSC users thus empowering heritage institutions. An aim of this research is who declared research interests that fall within the scope of the characterizing such culturally relevant relationships and organiz- knowledge organization domain. The ontological dimension is ing them in a vocabulary. Use cases or examples of relationships based on the study of these concepts. Domain analysis was used between objects suggested by curators or mentioned in literature as a methodological framework for this study. A search was con- and in the conceptual models as FRBR/LRM, CIDOC CRM and ducted on GSC using keywords in order to create a list of schol- RiC-CM, were collected and used as examples or inspiration of ars who declared the knowledge organization domain as one of cultural relevant relationships. Relationships identified are col- their research interests in their Google Scholar Profiles (GSPs). lated and compared for identifying those with the same or similar Next, the search for GSPs of authors who had published their meaning, synthesized and normalized. A set of thirty-three cul- papers in the Knowledge Organization journal from 2000 to 2019 turally relevant relationships are identified and formalized as a was conducted. The results showed that there were 379 publicly LOD property vocabulary to be used by digital curators to inter- available GSPs. Analysis of the affiliated institutions showed that link digital collections. The results presented are provisional and the majority of them were based respectively in the USA, Brazil, a starting point to be discussed, tested, and enhanced. and then in India. The ontological dimension of the knowledge organization domain on GSC was examined by studying key- Knowl. Org. 47(2020)No.2 KO KNOWLEDGE ORGANIZATION Official Journal of the International Society for Knowledge Organization ISSN 0943 – 7444 International Journal devoted to Concept Theory, Classification, Indexing and Knowledge Representation words attached to GSPs. The most frequently used keywords Dunn, Heather and Paul Bourcier. 2020. “Nomenclature for Mu- were identified and using network analysis five clusters that rep- seum Cataloging.” Knowledge Organization 47(2): 183-194. 22 refer- resented the main areas of interest were extracted. ences. DOI:10.5771/0943-7444-2020-2-183. Abstract: We present an overview of Nomenclature’s history, char- Ohly, Peter. 2020. “Ingetraut Dahlberg (1927-2017).” Knowledge acteristics, structure, use, management, development process, lim- Organization 47(2): 173-182. DOI:10.5771/0943-7444-2020-2- itations, and future. Nomenclature for Museum Cataloging is a bilingual 173. (English/French) structured and controlled list of object terms organized in a classification system to provide a basis for indexing Abstract: Dr. Ingetraut Dahlberg essentially introduced and and cataloging collections of human-made objects. It includes il- shaped the term “knowledge organization.” She also was the lustrations and bibliographic references as well as a user guide. It main engine in the founding of the scientific associations Society is used in the creation and management of object records in hu- for Classification and International Society for Knowledge Organization as man history collections within museums and other organizations, well as the journals International Classification and Knowledge Organi- and it focuses on objects relevant to North American history and zation. In 2017, Ingetraut Dahlberg died at the age of ninety years. culture. First published in 1978, Nomenclature is the most exten- Some life data and scientific contributions are presented here. sively used museum classification and controlled vocabulary for historical and ethnological collections in North America and rep- resents thereby a de facto standard in the field. An online reference version of Nomenclature was made available in 2018, and it will be available under open license in 2020. .
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