{"title":"Automatic Indexing and Information Visualization: A Study Based on Paraconsistent Logics","authors":"Carlos Alberto Corrêa, Nair Yumiko Kobashi","doi":"10.5771/9783956504402-326","DOIUrl":"https://doi.org/10.5771/9783956504402-326","url":null,"abstract":"This paper reports a research to evaluate the potential and the effects of use of annotated Paraconsistent logic in automatic indexing. This logic attempts to deal with contradictions, concerned with studying and developing inconsistency-tolerant systems of logic. This logic, being flexible and containing logical states that go beyond the dichotomies yes and no, permits to advance the hypothesis that the results of indexing could be better than those obtained by traditional methods. Interactions between different disciplines, as information retrieval, automatic indexing, information visualization, and nonclassical logics were considered in this research. From the methodological point of view, an algorithm for treatment of uncertainty and imprecision, developed under the Paraconsistent logic, was used to modify the values of the weights assigned to indexing terms of the text collections. The tests were performed on an information visualization system named Projection Explorer (PEx), created at Institute of Mathematics and Computer Science (ICMC – USP São Carlos), with available source code. PEx uses traditional vector space model to represent documents of a collection. The results were evaluated by criteria built in the information visualization system itself, and demonstrated measurable gains in the quality of the displays, confirming the hypothesis that the use of the para-analyser under the conditions of the experiment has the ability to generate more effective clusters of similar documents. This is a point that draws attention, since the constitution of more significant clusters can be used to enhance information indexing and retrieval. It can be argued that the adoption of non-dichotomous (non-exclusive) parameters provides new possibilities to relate similar information.","PeriodicalId":249610,"journal":{"name":"Categories, Contexts and Relations in Knowledge Organization","volume":"40 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":"122447517","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":"Dong Zhang, Mi Wang and Xin Jie Yun. Subject Organization in Three Types of Information Resources: An Exploratory Study","authors":"Christopher S. G. Khoo","doi":"10.5771/9783956504402-83","DOIUrl":"https://doi.org/10.5771/9783956504402-83","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":"129800040","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":"Building the Ontology Dictionary using the Inference Engine RACER","authors":"J. Szulc","doi":"10.5771/9783956504402-369","DOIUrl":"https://doi.org/10.5771/9783956504402-369","url":null,"abstract":"","PeriodicalId":249610,"journal":{"name":"Categories, Contexts and Relations in Knowledge Organization","volume":"57 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":"127261328","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":"The Precision of Metaphor for Information Retrieval","authors":"E. Orrico, Vera Dodebei, Miriam Gontijo","doi":"10.5771/9783956504402-103","DOIUrl":"https://doi.org/10.5771/9783956504402-103","url":null,"abstract":"","PeriodicalId":249610,"journal":{"name":"Categories, Contexts and Relations in Knowledge Organization","volume":"4 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":"130508336","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":"FRBRizing KOS Relationships: Applying the FRBR Model to Versions of the DDC","authors":"M. Zumer, M. Zeng, Joan S. Mitchell","doi":"10.5771/9783956504402-190","DOIUrl":"https://doi.org/10.5771/9783956504402-190","url":null,"abstract":"The paper presents the approach of using the Functional Requirements for Bibliographic Records (FRBR) model to investigate the complicated sets of relationships among different versions of a classification system for the purposes of specifying provenance of classification data and facilitating collaborative efforts for using and reusing classification data, particularly in a linked data setting. The long-term goal of this research goes beyond the Dewey Decimal Classification that is used as a case. It addresses the questions of if and how the modelling approach and the FRBR-based model itself can be generalized and applied to other classification systems, multilingual and multicultural vocabularies, and even non-KOS resources that share similar characteristics.","PeriodicalId":249610,"journal":{"name":"Categories, Contexts and Relations in Knowledge Organization","volume":"59 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":"116543867","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":"User Expectations and Reality and Delineation of Agricultural Information Systems in the Maghreb","authors":"R. Bernaoui, Mohmed Hassoun","doi":"10.5771/9783956504402-359","DOIUrl":"https://doi.org/10.5771/9783956504402-359","url":null,"abstract":"In the knowledge society, collection, organization and transmission of knowledge are considered very important for the economic, technological and social development of a country. An information system for agriculture is being developed in Algeria based on an assessment of user needs. The proposed system will have FAO‟s AGROVOC as the basis and will have multilingual features. This paper outlines some of the major requirements of the search interface and the vocabulary based on a survey of potential end users of the system.","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":"125071071","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":"Constructing Knowledge Classification Scheme in Industrial Technology via Domain Analysis: An Empirical Study","authors":"","doi":"10.5771/9783956504402-298","DOIUrl":"https://doi.org/10.5771/9783956504402-298","url":null,"abstract":"This study combined three approaches of domain analysis such as special classifications, terminological studies, and bibliometrics to construct specialized technological knowledge classification scheme of fishery industry. It also integrated specialized terminologies of industrial technology to do information retrieval. The study requested domain experts to extract technical knowledge according to a knowledge analysis process. Then, with bibliometrics that analyzes global technological development trends of Grouper and Cobia. Follow by analysis from classification scheme to present knowledge gap of the domain. The outcome fulfilled the planned study purpose and the cross-domain team cooperation process and study results were agreed by project sponsors and domain experts. The study submitted following suggestions for further studies, in combined approaches of domain analysis. They are 1) Researchers utilized industrial technological knowledge classification scheme to assist fishery industry domain experts to clarify domain knowledge scope; 2) The combined approaches will be helpful to depict knowledge development and key technology of fishery industry in Taiwan; 3) The applied methods of combined and cross-domain approaches of domain analysis will be valuable for researchers in library and information studies.","PeriodicalId":249610,"journal":{"name":"Categories, Contexts and Relations in Knowledge Organization","volume":"44 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":"128519611","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":"Domain Specific Categories and Relations and their Potential Applications: A Case Study of Two Arrays of Agriculture Schedule of Colon Classification","authors":"A. Y. Asundi","doi":"10.5771/9783956504402-171","DOIUrl":"https://doi.org/10.5771/9783956504402-171","url":null,"abstract":"The categories/isolates are broadly conceived as common and special. The common categories are applicable to all the classes of subjects in a Classification system, whereas the specials are applicable within a domain or specified classes of a classification system. The CC has represented some unique special categories, especially in the Agriculture Subject schedule, and such a provision is not seen in any other classification system; not even in any other subject schedule of Colon Classification. These special categories are termed here as \"Domain Specific Categories\". The paper analyses the thematic relationships within and outside the subject schedule with potential applications in devising a scheme of metadata as demonstrated in a research study on Indian Medicinal Plants. The other potential applications of such thematic relationships are in the creation of semantic maps and in linking concepts from different domains of knowledge.","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":"129157706","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":"Digitized Contents and Index Pages as Alternative Subject Access Fields","authors":"Nalini A Raja","doi":"10.5771/9783956504402-333","DOIUrl":"https://doi.org/10.5771/9783956504402-333","url":null,"abstract":"","PeriodicalId":249610,"journal":{"name":"Categories, Contexts and Relations in Knowledge Organization","volume":"72 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":"124556609","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}