{"title":"Sanskrit-English Bilingual Thesaurus for Yogic Sciences: A Case Study of Problems and Issues with Terms of Non-Latin Origin","authors":"B. Kumar, Khaiser Nikam","doi":"10.5771/9783956504402-306","DOIUrl":"https://doi.org/10.5771/9783956504402-306","url":null,"abstract":"","PeriodicalId":249610,"journal":{"name":"Categories, Contexts and Relations in Knowledge Organization","volume":"52 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123781589","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Knowledge Organization and Application of Dublin Core Possibilities in CATIA V5","authors":"Daniel Martínez Ávila","doi":"10.5771/9783956504402-368","DOIUrl":"https://doi.org/10.5771/9783956504402-368","url":null,"abstract":"","PeriodicalId":249610,"journal":{"name":"Categories, Contexts and Relations in Knowledge Organization","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130507175","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Information Mining and Visualization of Data from the Brazilian Supreme Court (STF): A Case Study","authors":"F. Coelho, Daniel Chada, P. Cerdeira","doi":"10.5771/9783956504402-320","DOIUrl":"https://doi.org/10.5771/9783956504402-320","url":null,"abstract":"This paper describes a joint research of the Law School (Direito Rio) and the Applied Math School (EMAp) of the Getulio Vargas Foundation (FGV), Brazil to analyze information from judicial activities in some of the Brazilian courts. The data for the study included the entire collection of judicial decisions from 1988 to the present. The idea was to identify bottlenecks in the judicial processes at the STF. Introduction Large collections of textual data present a substantial challenge for extraction of relevant bits of information to feed subsequent statistical analysis and visualization pipelines. The peculiarities of the knowledge domain often require the implementation of customized natural language processing pipelines, along with specific knowledge organization systems, to describe the relevant terminology. This paper describes a joint research made by the Law School (Direito Rio) and the Applied Math School (EMAp) of the Getulio Vargas Foundation (FGV), Brazil. After initial contacts a joint venture was established between researchers from EMAp and Direito Rio to analyze the information from judicial activities, in some of the Brazilian courts. Initially, the Law School intended to analyze the behavior of the Brazilian Supreme Court (STF) to support public policy-making, and to identify bottlenecks in the judicial processes at the STF. The task was to analyze the texts of the entire set of recorded judicial decisions, accessible through the STF institutional site. This data had never been analyzed on this scale before, so a great deal of exploratory analyses was expected in order to reveal hidden patterns in the data. A number of a priori questions were proposed, basically aimed at determining if the STF was performing according to its constitutionally defined role, and if not, in what way it could be changed to better serve its purpose. Some of the methodology described herein was applied to the generation of the results published in the project‟s first technical report (“I Relatório – abril/2011 – O Múltiplo Supremo”, 2011). The results presented here go more in the general direction of exploratory data analysis.","PeriodicalId":249610,"journal":{"name":"Categories, Contexts and Relations in Knowledge Organization","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130756480","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Unmasking „That Obscure Object of Desire‟: A Brief Report from the Films and Facets Project","authors":"K. Labarre, Rosa Inês de Novais Cordeiro","doi":"10.5771/9783956504402-229","DOIUrl":"https://doi.org/10.5771/9783956504402-229","url":null,"abstract":"The use of facet analysis as an analytical tool for identifying salient access features of moving images was tested in this exploratory project. Twelve participants viewed three films, and created keywords and summaries for each film. These textual descriptions and access features from four moving image repositories were subject to facet analysis. A comparison of the facets elicited by this approach indicates that subject-related content; especially theme, genre and action may be highly salient access points for searchers in moving image repositories. Overview This exploratory project tested the use of facet and filmic analysis (CRG, 1957; La Barre, 2006, 2010; Ranganathan, 1933, 1937; Spiteri, 1998) as strategies for enhancing access and discovery of moving image resources. Developed jointly at the University of Illinois at Urbana-Champaign and Universidade Federal Fluminense in Rio de Janeiro, Brazil, the study assessed similarities and divergences in the content of written participant responses (n=12) to a set of three films across two different cultures (American and Brazilian). Participants were asked to identify salient film characteristics in the form of keywords and film summaries each person created after watching each film. The researchers conducted facet and filmic analysis of these written narratives as a way to uncover insights to support the creation of enhanced strategies for moving image representations. These insights could provide support for the creation of more robust access and discovery interfaces for films. One enhancement suggested by the findings provides support for the importance of indexing strategies for moving images that focus on subject-related attributes such as theme, action and genre. Films and Facets Project Today, the greatest challenge to the future of facet analysis is to determine the extent and manner in which this technique might be adopted and adapted for use in rapidly developing digital environments (La Barre, 2010, p. 268). The approach taken in this study integrates traditional facet analytic models as delineated by Vickery (1966, p. 43-44), and revisited by La Barre (2010) and replicates the facet analytical model developed in the project Folktales and Facets (La Barre & Tilley, 2010; La Barre & Tilley, 2012). Films and Facets used the technique of facet analysis in conjunction with applicable principles of film study (Cordiero, 2000) to help identify important item features such as item format or theme, and the role of user characteristics such as language, experience, and understanding in textual descriptions created by study participants. The main objective of this study was to analyze written viewer responses to three films in order to extract salient aspects that might help improve retrieval and access to films in a variety of information environments (digital repositories, libraries and archives). This research sought to verify the utility of facet analysis and filmic analysis in the interpret","PeriodicalId":249610,"journal":{"name":"Categories, Contexts and Relations in Knowledge Organization","volume":"39 10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134024714","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Clouds and Libraries: Classification as a Tool for Cloud Computing","authors":"K. Chudamani, H. C. Nagarathna, B. Sharatha","doi":"10.5771/9783956504402-377","DOIUrl":"https://doi.org/10.5771/9783956504402-377","url":null,"abstract":"Cloud computing is a new technology model for IT services which many businesses and organizations are adopting. Sharing of resources is a common component of work in libraries, especially with networking. When it is in a cloud, there is a common development platform. It comprises of both hardware and software, which is reusable, and constant updates indexes the online catalogue. In Libraries, cloud computing can simplify processes, save time and money. This article defines cloud computing using classification and shows how it is different. It also discusses how cloud computing solutions using classification systems could be beneficial to libraries. Subjects, authors, title, etc form clouds, which can be subdivided into sub-clouds, while searching on a computer. Even if catalogues of different libraries using the same classification are placed in a remote source, common searching is possible. How to handle the cloud is like any other index, except that one has to choose a particular cloud. Once a cloud is chosen, normal operations such as moving the highlighting bar to the corresponding entry are available to display bibliographic details. Cloud is at the heart of the retrieval system organized in the order of class number. Each class number along with its subdivisions forms a cloud and sub clouds. The whole classified system is like a grid in which clouds and sub-clouds are embedded into it. Entering a class number retrieves a class cloud and its sub-clouds. First three characters of book number may also be given to position the classified cloud more accurately. All clouds are in one way or the other classified. The author, title, etc are alphabetically classified. The keyword and the Boolean and other related operators are also categorized as belonging to a cloud, which is an intersection cloud. But, the most important cloud is the classified, as it enables browsing. An examination of the classified cloud helps us in understanding the deeper ramification of subject clouds. The metadata required for the purpose of creating such clouds is quite complex. First of all, super ordinate and subordinate relation needs to be defined. The example of Physics is used here to illustrate the concept. Physics is a big cloud or can be called “PHYSICS Grid” including its canonical clouds. Canonical clouds are formed on the basis of a general understanding of the extension of the subject over generations. Formation of clouds such as compound, complex and intersection clouds varies with the classification scheme. For example, in Colon Classification physics and engineering are placed adjacent to one another. In DDC they are far away. In-between, chemistry, biology, earth science, etc are located. Accordingly, the representation varies while searching using class numbers.","PeriodicalId":249610,"journal":{"name":"Categories, Contexts and Relations in Knowledge Organization","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134477380","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Users‟ perception of Aboutness and Ofness in Images: An Approach to Subject Indexing Based on Ervin Panofsky‟s Theory and Users‟ View","authors":"Sholeh Arastoopoor, R. Fattahi","doi":"10.5771/9783956504402-345","DOIUrl":"https://doi.org/10.5771/9783956504402-345","url":null,"abstract":"It is widely accepted that subject indexing of an image is based on a two-dimensional approach. The first is the ofness and the second focuses on aboutness of the image. Assigning a suitable set of subject tags based on these two groups depends, to a great deal, on what is the users’ perception of the image. Thus this study aims at analyzing users’ perception of aboutness and ofness of images. 25 in-depth semi-structured interviews were conducted in two phases. In the first phase a collection of 10 widely known photographs were given to the interviewees and they were asked to assign subject tags (as many as they wish) to each image. In the second phase some facts regarding each image were given to him/her to assign further tags (again as many as they wish) or even modify their previous tags. The results show that the interviewees do focus both on ofness and aboutness in subject tagging; but it seems that they emphasize more on aboutness in describing images. On the other hand, as soon as the interviewees were able to distinguish the iconographical ofness, they could speak of iconographical and iconological aboutness. The results also show that subject indexers must focus on the iconographical level, especially regarding those tags which represent the ofness at this level. Introduction Subject indexing of images is a matter of problematic nature from different perspectives. The first and maybe the most important issue, deals with the lack of standard or universallyapplicable code for a meaningful subject representation of an image. Although it is widely accepted that subject indexing of an image is based on a two-dimensional approach (i.e. ofness and aboutness description), the problem still lingers in determining the depth of descriptions especially when it comes to aboutness. Based on ofness/aboutness approach the subject tags to be assigned to an image could be divided into two different groups. Those which describe the 1 . Regional Information center for Science and Technology(arastoopoor@gmail.com) 2 . Library and Information sciences Department, Ferdowsi University of Mashhad, (fattahirahmat@gmail.com) This page was created using Nitro PDF trial software. To purchase, go to http://www.nitropdf.com/","PeriodicalId":249610,"journal":{"name":"Categories, Contexts and Relations in Knowledge Organization","volume":"222 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134481628","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Is Knowledge Organization = Information Organization?","authors":"Birger Hjørland","doi":"10.5771/9783956504402-8","DOIUrl":"https://doi.org/10.5771/9783956504402-8","url":null,"abstract":": Are the terms “information organization” (IO), “organization of information” (OI) and “information architecture” (IA) synonyms for knowledge organization (KO)? This study use bibliometric methods, among others, to determine some relations between these terms and their meanings. Apparently the data shows that these terms should not be considered synonyms because each of the terms IO, OI, IA and KO produce a different set of high ranked authors, journals and papers. In many cases the terms are, however, used interchangeably (and thus indicating synonymity) and it is argued that the underlying theoretical principles are identical but that the different terms has a tendency to be applied in different context: KO in the library context; IA in the web-context and IO and OI in more unspecified ways.","PeriodicalId":249610,"journal":{"name":"Categories, Contexts and Relations in Knowledge Organization","volume":"62 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114109410","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Co-word and Facet Analysis as Tools for Conceptualization in Ontologies: a Preliminary Study for a Micro-Domain","authors":"Sangeeta Deokattey, D.K. Dixit, K. Bhanumurthy","doi":"10.5771/9783956504402-153","DOIUrl":"https://doi.org/10.5771/9783956504402-153","url":null,"abstract":"Conceptualization is at the core of developing domain ontologies. This paper reports a study for developing an ontology for a micro-domain Test Blanket Module (TBM), an integral part of thermonuclear or fusion reactors. Sample data downloaded from yielded 1115 unique DEI (indexer-assigned) descriptors assigned to 548 records on TBM. The frequencies of occurrence of all the unique descriptors, the corresponding co-word DEI descriptors (AN numbers) were identified On the basis of their research linkages the descriptors were grouped into four quadrants. It was found, that the descriptors in the 2 and 3 quadrants were at the core of the selected subject. A total of 31 core descriptors from these were selected for conceptualization and for each the co-occurring descriptors and their frequencies of co-occurrence with the selected descriptor were noted. Only descriptor pairs that co-occurred 10 times or higher were considered. Comparison of Co-Word Word Blocks (CWWBs) and word blocks (INISWB) from the INIS thesaurus showed differences. Co-words were used to semantically enrich descriptors transforming them into more comprehensive concepts; these were used as building blocks for conceptualization and for domain ontology. This method could be replicated to generate semantic networks (which could form an Ontological layer on any subject of study) and also in query expansion during search and retrieval in interdisciplinary subject","PeriodicalId":249610,"journal":{"name":"Categories, Contexts and Relations in Knowledge Organization","volume":"123 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114650066","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"“Naming” Electronic Documents: Development and Evaluation of a Procedure","authors":"M. Tanti","doi":"10.5771/9783956504402-372","DOIUrl":"https://doi.org/10.5771/9783956504402-372","url":null,"abstract":"","PeriodicalId":249610,"journal":{"name":"Categories, Contexts and Relations in Knowledge Organization","volume":"37 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121328470","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"A Novel Knowledge Organization Scheme for the Web: Superlinks with Semantic Roles","authors":"K. Mahesh, Pallavi Karanth","doi":"10.5771/9783956504402-90","DOIUrl":"https://doi.org/10.5771/9783956504402-90","url":null,"abstract":"We discuss the needs of a knowledge organization scheme for supporting Web-based software applications. We show how it differs from traditional knowledge organization schemes due to the virtual, dynamic, ad-hoc, userspecific and application-specific nature of Web-based knowledge. The sheer size of Web resources also adds to the complexity of organizing knowledge on the Web. As such, a standard, global scheme such as a single ontology for classifying and organizing all Web-based content is unrealistic. There is nevertheless a strong and immediate need for effective knowledge organization schemes to improve the efficiency and effectiveness of Web-based applications. In this context, we propose a novel knowledge organization scheme wherein concepts in the ontology of a domain are semantically interlinked with specific pieces of Web-based content using a rich hyper-linking structure known as Superlinks with well-defined semantic roles. We illustrate how such a knowledge organization scheme improves the efficiency and effectiveness of a Web-based e-commerce retail store.","PeriodicalId":249610,"journal":{"name":"Categories, Contexts and Relations in Knowledge Organization","volume":"79 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122613375","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}