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  1. Kincy, C.P.; Layne, S.S.: Making the move to RDA : a self-study primer for catalogers (2014) 0.20 
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    LCSH
    Resource description & access / Handbooks, manuals, etc
    Descriptive cataloging / Handbooks, manuals, etc
    Subject
    Resource description & access / Handbooks, manuals, etc
    Descriptive cataloging / Handbooks, manuals, etc
  2. Weber, M.B.; Austin, F.A.: Describing electronic, digital, and other media using AACR2 and RDA : a how-to-do-it manual and cd-rom for librarians (2011) 0.18 
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    Abstract
    This book addresses RDA along with traditional examples of cataloguing like MARC, MODS, and Dublin Core. Streaming video, Internet sites, dual-disc DVDs, blogs and listservs are just some of the rapidly emerging, and often complicated, new resources covered in this current, easy-to-follow manual. Separate chapters are dedicated to each non-print and e-resource format, and include corresponding examples to help demonstrate practical implementation of these critical new skills. A companion CD-ROM contains fully-worked out examples, models and illustrations, and acts as an important visual guide to help reinforce key concepts. In addition, a companion website provides updates on changes in RDA and other cataloguing resources and practices; links to presentations, blog posts, etc; and a means to contact the authors with questions and feedback.
    LCSH
    Cataloging of nonbook materials / Handbooks, manuals, etc
    Cataloging of audio / visual materials / Handbooks, manuals, etc
    Cataloging of electronic information resources / Handbooks, manuals, etc
    Series
    How-to-do-it manuals for libraries ; 168
    Subject
    Cataloging of nonbook materials / Handbooks, manuals, etc
    Cataloging of audio / visual materials / Handbooks, manuals, etc
    Cataloging of electronic information resources / Handbooks, manuals, etc
  3. Kleineberg, M.: Context analysis and context indexing : formal pragmatics in knowledge organization (2014) 0.12 
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    Source
    http://www.google.de/url?sa=t&rct=j&q=&esrc=s&source=web&cd=5&ved=0CDQQFjAE&url=http%3A%2F%2Fdigbib.ubka.uni-karlsruhe.de%2Fvolltexte%2Fdocuments%2F3131107&ei=HzFWVYvGMsiNsgGTyoFI&usg=AFQjCNE2FHUeR9oQTQlNC4TPedv4Mo3DaQ&sig2=Rlzpr7a3BLZZkqZCXXN_IA&bvm=bv.93564037,d.bGg&cad=rja
  4. Maxwell, R.L.: Handbook for RDA : Maxwell's handbook for RDA ; explaining and illustrating RDA: resource description and access using MARC 21 (2013) 0.12 
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    LCSH
    Descriptive cataloging / Handbooks, manuals, etc
    Subject
    Descriptive cataloging / Handbooks, manuals, etc
  5. Kaplan, A.G.; Riedling, A.M.: Catalog it! : a guide to cataloging school library materials (2015) 0.10 
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    Cataloging / Handbooks, manuals, etc
    Subject
    Cataloging / Handbooks, manuals, etc
  6. Zeng, Q.; Yu, M.; Yu, W.; Xiong, J.; Shi, Y.; Jiang, M.: Faceted hierarchy : a new graph type to organize scientific concepts and a construction method (2019) 0.07 
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    Content
    Vgl.: https%3A%2F%2Faclanthology.org%2FD19-5317.pdf&usg=AOvVaw0ZZFyq5wWTtNTvNkrvjlGA.
  7. Xiong, C.: Knowledge based text representations for information retrieval (2016) 0.06 
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    Content
    Submitted in partial fulfillment of the requirements for the degree of Doctor of Philosophy in Language and Information Technologies. Vgl.: https%3A%2F%2Fwww.cs.cmu.edu%2F~cx%2Fpapers%2Fknowledge_based_text_representation.pdf&usg=AOvVaw0SaTSvhWLTh__Uz_HtOtl3.
  8. Farazi, M.: Faceted lightweight ontologies : a formalization and some experiments (2010) 0.06 
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    Content
    PhD Dissertation at International Doctorate School in Information and Communication Technology. Vgl.: https%3A%2F%2Fcore.ac.uk%2Fdownload%2Fpdf%2F150083013.pdf&usg=AOvVaw2n-qisNagpyT0lli_6QbAQ.
  9. Huo, W.: Automatic multi-word term extraction and its application to Web-page summarization (2012) 0.06 
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    Content
    A Thesis presented to The University of Guelph In partial fulfilment of requirements for the degree of Master of Science in Computer Science. Vgl. Unter: http://www.inf.ufrgs.br%2F~ceramisch%2Fdownload_files%2Fpublications%2F2009%2Fp01.pdf.
    Date
    10. 1.2013 19:22:47
  10. Viti, E.: My first ten years : nuovo soggettario growing, development and integration with other knowledge organization systems (2017) 0.04 
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    Abstract
    The Nuovo Soggettario is a subject indexing system edited by the Biblioteca Nazionale Centrale di Firenze. It was presented to librarians from across Italy on 8 February 2007 in Florence as a new edition of the Soggettario (1956), and it has become the official Italian subject indexing tool. This system is made up of two individual and interactive components: the general thesaurus, accessible on the web since 2007 and the rules of a conventional syntax for the construction of subject strings. The Nuovo soggettario thesaurus has grown significantly in terms of terminology and connections with other knowledge organization tools (e.g., encyclopedias, dictionaries, resources of archives and museums, and other information data sets), offering the users the possibility to browse through documents, books, objects, photographs, etc. The conversion of the Nuovo soggettario thesaurus into formats suitable for the semantic web and linked data world improves its function as an interlinking hub for direct searching and for organizing content by different professional communities. Thanks to structured data and the SKOS format, the Nuovo soggettario thesaurus is published on the Data Hub platform, thus giving broad visibility to the BNCF and its precious patrimony.
    Content
    Beitrag eines Special Issue: ISKO-Italy: 8' Incontro ISKO Italia, Università di Bologna, 22 maggio 2017, Bologna, Italia.
  11. Saastamoinen, M.; Järvelin, K.: Search task features in work tasks of varying types and complexity (2017) 0.03 
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    Abstract
    Information searching in practice seldom is an end in itself. In work, work task (WT) performance forms the context, which information searching should serve. Therefore, information retrieval (IR) systems development/evaluation should take the WT context into account. The present paper analyzes how WT features: task complexity and task types, affect information searching in authentic work: the types of information needs, search processes, and search media. We collected data on 22 information professionals in authentic work situations in three organization types: city administration, universities, and companies. The data comprise 286 WTs and 420 search tasks (STs). The data include transaction logs, video recordings, daily questionnaires, interviews. and observation. The data were analyzed quantitatively. Even if the participants used a range of search media, most STs were simple throughout the data, and up to 42% of WTs did not include searching. WT's effects on STs are not straightforward: different WT types react differently to WT complexity. Due to the simplicity of authentic searching, the WT/ST types in interactive IR experiments should be reconsidered.
  12. Pellack, L.J.; Kappmeyer, L.O.: ¬The ripple effect of women's name changes in indexing, citation, and authority control (2011) 0.03 
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    Abstract
    This study investigated name changes of women authors to determine how they were represented in indexes and cited references and identify problem areas. A secondary purpose of the study was to investigate whether or not indexing services were using authority control and how this influenced the search results. The works of eight library science authors who had published under multiple names were examined. The researchers compared author names as they appeared on title pages of publications versus in four online databases and in bibliographies by checking 380 publications and 1,159 citations. Author names were correctly provided 81.22% of the time in indexing services and 90.94% in citation lists. The lowest accuracy (54.55%) occurred when limiting to publications found in Library Literature. The highest accuracy (94.18%) occurred with works published before a surname changed. Author names in indexes and citations correctly matched names on journal articles more often than for any other type of publication. Indexes and citation style manuals treated author names in multiple ways, often altering names substantially from how they appear on the title page. Recommendations are made for changes in editorial styles by indexing services and by the authors themselves to help alleviate future confusion in author name searching.
  13. MacFarlane, A.; Al-Wabil, A.; Marshall, C.R.; Albrair, A.; Jones, S.A.; Zaphiris, P.: ¬The effect of dyslexia on information retrieval : a pilot study (2010) 0.03 
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    Abstract
    Purpose - The purpose of this paper is to resolve a gap in the knowledge of how people with dyslexia interact with information retrieval (IR) systems, specifically an understanding of their information-searching behaviour. Design/methodology/approach - The dyslexia cognitive profile is used to design a logging system, recording the difference between two sets of participants: dyslexic and control users. A standard Okapi interface is used - together with two standard TREC topics - in order to record the information searching behaviour of these users. Findings - Using the log data, the differences in information-searching behaviour of control and dyslexic users, i.e. in the way the two groups interact with Okapi, are established and it also established that qualitative information collected (such as experience etc.) may not be able to account for these differences. Evidence from query variables was unable to distinguish between groups, but differences on topic for the same variables were recorded. Users who view more documents tended to judge more documents as being relevant, in terms of either the user group or topic. Session data indicated that there may be an important difference between the number of iterations used in a search between the user groups, as there may be little effect from the topic on this variable. Originality/value - This is the first study of the effect of dyslexia on information search behaviour, and it provides some evidence to take the field forward.
  14. Djioua, B.; Desclés, J.-P.; Alrahabi, M.: Searching and mining with semantic categories (2012) 0.03 
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    Abstract
    A new model is proposed to retrieve information by building automatically a semantic metatext structure for texts that allow searching and extracting discourse and semantic information according to certain linguistic categorizations. This paper presents approaches for searching and mining full text with semantic categories. The model is built up from two engines: The first one, called EXCOM (Djioua et al., 2006; Alrahabi, 2010), is an automatic system for text annotation, related to discourse and semantic maps, which are specification of general linguistic ontologies founded on the Applicative and Cognitive Grammar. The annotation layer uses a linguistic method called Contextual Exploration, which handles the polysemic values of a term in texts. Several 'semantic maps' underlying 'point of views' for text mining guide this automatic annotation process. The second engine uses semantic annotated texts, produced previously in order to create a semantic inverted index, which is able to retrieve relevant documents for queries associated with discourse and semantic categories such as definition, quotation, causality, relations between concepts, etc. (Djioua & Desclés, 2007). This semantic indexation process builds a metatext layer for textual contents. Some data and linguistic rules sets as well as the general architecture that extend third-party software are expressed as supplementary information.
  15. Niu, X.; Kelly, D.: ¬The use of query suggestions during information search (2014) 0.02 
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    Abstract
    Query suggestion is a common feature of many information search systems. While much research has been conducted about how to generate suggestions, fewer studies have been conducted about how people interact with and use suggestions. The purpose of this paper is to investigate how and when people integrate query suggestions into their searches and the outcome of this usage. The paper further investigates the relationships between search expertise, topic difficulty, and temporal segment of the search and query suggestion usage. A secondary analysis of data was conducted using data collected in a previous controlled laboratory study. In this previous study, 23 undergraduate research participants used an experimental search system with query suggestions to conduct four topic searches. Results showed that participants integrated the suggestions into their searching fairly quickly and that participants with less search expertise used more suggestions and saved more documents. Participants also used more suggestions towards the end of their searches and when searching for more difficult topics. These results show that query suggestion can provide support in situations where people have less search expertise, greater difficulty searching and at specific times during the search.
    Date
    25. 1.2016 18:43:22
  16. Biagetti, M.T.: Digital libraries and semantic searching (2014) 0.02 
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    Source
    Knowledge organization in the 21st century: between historical patterns and future prospects. Proceedings of the Thirteenth International ISKO Conference 19-22 May 2014, Kraków, Poland. Ed.: Wieslaw Babik
  17. Luo, Z.; Yu, Y.; Osborne, M.; Wang, T.: Structuring tweets for improving Twitter search (2015) 0.02 
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    Abstract
    Spam and wildly varying documents make searching in Twitter challenging. Most Twitter search systems generally treat a Tweet as a plain text when modeling relevance. However, a series of conventions allows users to Tweet in structural ways using a combination of different blocks of texts. These blocks include plain texts, hashtags, links, mentions, etc. Each block encodes a variety of communicative intent and the sequence of these blocks captures changing discourse. Previous work shows that exploiting the structural information can improve the structured documents (e.g., web pages) retrieval. In this study we utilize the structure of Tweets, induced by these blocks, for Twitter retrieval and Twitter opinion retrieval. For Twitter retrieval, a set of features, derived from the blocks of text and their combinations, is used into a learning-to-rank scenario. We show that structuring Tweets can achieve state-of-the-art performance. Our approach does not rely on social media features, but when we do add this additional information, performance improves significantly. For Twitter opinion retrieval, we explore the question of whether structural information derived from the body of Tweets and opinionatedness ratings of Tweets can improve performance. Experimental results show that retrieval using a novel unsupervised opinionatedness feature based on structuring Tweets achieves comparable performance with a supervised method using manually tagged Tweets. Topic-related specific structured Tweet sets are shown to help with query-dependent opinion retrieval.
  18. Tamine, L.; Chouquet, C.: On the impact of domain expertise on query formulation, relevance assessment and retrieval performance in clinical settings (2017) 0.02 
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    Abstract
    The large volumes of medical information available on the web may provide answers for a wide range of users attempting to solve health-related problems. While experts generally utilize reliable resources for diagnosis search and professional development, novices utilize different (social) web resources to obtain information that helps them manage their health or the health of people who they care for. A diverse number of related search topics address clinical diagnosis, advice searching, information sharing, connecting with experts, etc. This paper focuses on the extent to which expertise can impact clinical query formulation, document relevance assessment and retrieval performance in the context of tailoring retrieval models and systems to experts vs. non-experts. The results show that medical domain expertise 1) plays an important role in the lexical representations of information needs; 2) significantly influences the perception of relevance even among users with similar levels of expertise and 3) reinforces the idea that a single ground truth does not exist, thereby leading to the variability of system rankings with respect to the level of user's expertise. The findings of this study presents opportunities for the design of personalized health-related IR systems, but also for providing insights about the evaluation of such systems.
  19. Monchaux, S.; Amadieu, F.; Chevalier, A.; Mariné, C.: Query strategies during information searching : effects of prior domain knowledge and complexity of the information problems to be solved (2015) 0.02 
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    Abstract
    This study addresses the impact of domain expertise (i.e. of prior knowledge of the domain) on the performance and query strategies used by users while searching for information. Twenty-four experts (psychology students) and 24 non-experts (students from other disciplines) had to search for psychology information from the Universalis website in order to perform six information problems of varying complexity: two simple problems (the keywords required to complete the task were provided in the problem statement), two more difficult problems (the keywords required had to be inferred) and two impossible problems (no answer was provided by the website). The results showed that participants with prior knowledge in the domain (experts in psychology) performed better (i.e. reached more correct answers after shorter search times) than non-experts. This difference was stronger as the complexity of the problems increased. This study also showed that experts and non-experts displayed different query strategies. Experts reformulated the impossible problems more often than non-experts, because they produced new queries with psychology-related keywords. The participants rarely used thematic category tool and when they did so this did not enhance their performance.
    Date
    25. 1.2016 18:46:22
  20. Arastoopoor, S.; Fattahi, R.: ¬A more effective Web search through developing a small thesaurus of non-topical terms : a proposed model to improve pertinence and retrieval relevance (2014) 0.02 
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    Abstract
    Purpose A higher level of retrieval relevance along with pertinence is what information systems are required to provide if they are to gain more user satisfaction. Although in almost every IR system, general and non-topical terms are not considered to play a major role in indexing, the underlying assumption of current study stems from the fact that these terms could be effective in better searching by end-users. Thus this paper aims at proposing a new approach in this regard using a small thesaurus of general and non-topical terms which can be used along with queries (i.e., topical keywords). This would help making users' queries closer to natural language. Method In the first phase of this study, a set of 669 non-topical terms, which were identified through a previous study, was assumed as the test bed. Based on the main goal of the present paper, the list was analyzed and divided into major categories. As for the second phase, a preferred label representing each category was selected and assigned based on its "use warrant"; and to this end Google Trends was applied for determining the most-frequent general and non-topical terms among users' web searches. At last the developed thesaurus was tested in searching and the retrieved results were evaluated in terms of relevance and pertinence. Results The findings of this study show that, although there is rather a diverse range of general and non-topical terms appearing before or after topical keywords in Web documents, users are still using no or only a small fracture of them in their search queries. The findings also show that these terms would be of great assistance in providing more relevant results and a meaningful display of the results. This paper then proposes a conceptual model for applying such a thesaurus in searching the Web.
    Source
    Knowledge organization in the 21st century: between historical patterns and future prospects. Proceedings of the Thirteenth International ISKO Conference 19-22 May 2014, Kraków, Poland. Ed.: Wieslaw Babik

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