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  • × year_i:[2010 TO 2020}
  1. Das, S.; Roy, S.: Faceted ontological model for brain tumour study (2016) 0.01
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    Abstract
    The purpose of this work is to develop an ontology-based framework for developing an information retrieval system to cater to specific queries of users. For creating such an ontology, information was obtained from a wide range of information sources involved with brain tumour study and research. The information thus obtained was compiled and analysed to provide a standard, reliable and relevant information base to aid our proposed system. Facet-based methodology has been used for ontology formalization for quite some time. Ontology formalization involves different steps such as identification of the terminology, analysis, synthesis, standardization and ordering. A vast majority of the ontologies being developed nowadays lack flexibility. This becomes a formidable constraint when it comes to interoperability. We found that a facet-based method provides a distinct guideline for the development of a robust and flexible model concerning the domain of brain tumours. Our attempt has been to bridge library and information science and computer science, which itself involved an experimental approach. It was discovered that a faceted approach is really enduring, as it helps in the achievement of properties like navigation, exploration and faceted browsing. Computer-based brain tumour ontology supports the work of researchers towards gathering information on brain tumour research and allows users across the world to intelligently access new scientific information quickly and efficiently.
    Date
    12. 3.2016 13:21:22
  2. Atanassova, I.; Bertin, M.: Semantic facets for scientific information retrieval (2014) 0.01
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    Abstract
    We present an Information Retrieval System for scientific publications that provides the possibility to filter results according to semantic facets. We use sentence-level semantic annotations that identify specific semantic relations in texts, such as methods, definitions, hypotheses, that correspond to common information needs related to scientific literature. The semantic annotations are obtained using a rule-based method that identifies linguistic clues organized into a linguistic ontology. The system is implemented using Solr Search Server and offers efficient search and navigation in scientific papers.
    Series
    Communications in computer and information science; vol.475
    Theme
    Semantisches Umfeld in Indexierung u. Retrieval
  3. Campos, L.M. de; Fernández-Luna, J.M.; Huete, J.F.; Martín-Dancausa, C.J.: Managing structured queries in probabilistic XML retrieval systems (2010) 0.01
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    Abstract
    Focusing on the context of XML retrieval, in this paper we propose a general methodology for managing structured queries (involving both content and structure) within any given structured probabilistic information retrieval system which is able to compute posterior probabilities of relevance for structural components given a non-structured query (involving only query terms but not structural restrictions). We have tested our proposal using two specific information retrieval systems (Garnata and PF/Tijah), and the structured document collections from the last six editions of the INitiative for the Evaluation of XML Retrieval (INEX).
    Source
    Information processing and management. 46(2010) no.5, S.514-532
  4. Cole, C.: ¬A theory of information need for information retrieval that connects information to knowledge (2011) 0.01
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    Abstract
    This article proposes a theory of information need for information retrieval (IR). Information need traditionally denotes the start state for someone seeking information, which includes information search using an IR system. There are two perspectives on information need. The dominant, computer science perspective is that the user needs to find an answer to a well-defined question which is easy for the user to formulate into a query to the system. Ironically, information science's best known model of information need (Taylor, 1968) deems it to be a "black box"-unknowable and nonspecifiable by the user in a query to the information system. Information science has instead devoted itself to studying eight adjacent or surrogate concepts (information seeking, search and use; problem, problematic situation and task; sense making and evolutionary adaptation/information foraging). Based on an analysis of these eight adjacent/surrogate concepts, we create six testable propositions for a theory of information need. The central assumption of the theory is that while computer science sees IR as an information- or answer-finding system, focused on the user finding an answer, an information science or user-oriented theory of information need envisages a knowledge formulation/acquisition system.
    Source
    Journal of the American Society for Information Science and Technology. 62(2011) no.7, S.1216-1231
    Theme
    Information
  5. Gödert, W.; Hubrich, J.; Nagelschmidt, M.: Semantic knowledge representation for information retrieval (2014) 0.01
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    Abstract
    This book covers the basics of semantic web technologies and indexing languages, and describes their contribution to improve languages as a tool for subject queries and knowledge exploration. The book is relevant to information scientists, knowledge workers and indexers. It provides a suitable combination of theoretical foundations and practical applications.
    Content
    Introduction: envisioning semantic information spacesIndexing and knowledge organization -- Semantic technologies for knowledge representation -- Information retrieval and knowledge exploration -- Approaches to handle heterogeneity -- Problems with establishing semantic interoperability -- Formalization in indexing languages -- Typification of semantic relations -- Inferences in retrieval processes -- Semantic interoperability and inferences -- Remaining research questions.
    Date
    23. 7.2017 13:49:22
    LCSH
    Information retrieval
    Knowledge representation (Information theory)
    Information organization
    RSWK
    Information Retrieval
    Subject
    Information retrieval
    Knowledge representation (Information theory)
    Information organization
    Information Retrieval
  6. Dreisiebner, S.; Schlögl, C.: Assessing disciplinary differences in information literacy teaching materials (2019) 0.01
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    Abstract
    Purpose The purpose of this paper is to uncover similarities and differences among emphasized information literacy (IL) skills for the disciplines of political- and social sciences, economics, educational sciences, law sciences, mathematics, life sciences, history and German studies, based on an analysis of IL teaching materials. Design/methodology/approach Eight issues of the German language publication series Erfolgreich recherchieren (Succesful Research Strategies) are compared by using a structuring content analysis. The category system is based on the IL standards and performance indicators of the Association of College and Research Libraries (2000), extended with additional categories. Findings The results, first, suggest that the biggest similarities and differences among the disciplines are found concerning the determination of the nature and extent of the needed information, especially in the area of identifying potential sources of information. Second, some of the disciplines focus more on international sources, whereas others focus on country- and language-specific sources. Third, the criteria to define the appropriate retrieval system differ among the various disciplines. Fourth, approaches to narrow the search results differ among the various disciplines. Fifth, the critical evaluation of sources is addressed in all disciplines but relates to different contexts. Research limitations/implications This approach only addresses one book per discipline out of a German language book series. Further research is needed. Originality/value This paper is unique in its approach and one of few papers on disciplinary differences in IL perception.
    Date
    20. 1.2015 18:30:22
    Footnote
    Beitag in einem Special Issue: Information Science in the German-speaking Countries
    Source
    Aslib journal of information management. 71(2019) no.3, S.392-414
  7. Seco de Herrera, A.G.; Schaer, R.; Müller, H.: Shangri-La : a medical case-based retrieval tool (2017) 0.01
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    Abstract
    Large amounts of medical visual data are produced in hospitals daily and made available continuously via publications in the scientific literature, representing the medical knowledge. However, it is not always easy to find the desired information and in clinical routine the time to fulfil an information need is often very limited. Information retrieval systems are a useful tool to provide access to these documents/images in the biomedical literature related to information needs of medical professionals. Shangri-La is a medical retrieval system that can potentially help clinicians to make decisions on difficult cases. It retrieves articles from the biomedical literature when querying a case description and attached images. The system is based on a multimodal retrieval approach with a focus on the integration of visual information connected to text. The approach includes a query-adaptive multimodal fusion criterion that analyses if visual features are suitable to be fused with text for the retrieval. Furthermore, image modality information is integrated in the retrieval step. The approach is evaluated using the ImageCLEFmed 2013 medical retrieval benchmark and can thus be compared to other approaches. Results show that the final approach outperforms the best multimodal approach submitted to ImageCLEFmed 2013.
    Footnote
    Beitrag in einem Special issue on biomedical information retrieval.
    Source
    Journal of the Association for Information Science and Technology. 68(2017) no.11, S.2587-2601
  8. Bordogna, G.; Pagani, M.: ¬A flexible content-based image retrieval model and a customizable system for the retrieval of shapes (2010) 0.01
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    Abstract
    The authors describe a flexible model and a system for content-based image retrieval of objects' shapes. Flexibility is intended as the possibility of customizing the system behavior to the user's needs and perceptions. This is achieved by allowing users to modify the retrieval function. The system implementing this model uses multiple representations to characterize some macroscopic characteristics of the objects shapes. Specifically, the shape indexes describe the global features of the object's contour (represented by the Fourier coefficients), the contour's irregularities (represented by the multifractal spectrum), and the presence of concavities and convexities (represented by the contour scale space distribution). During a query formulation, the user can specify both the preference for the macroscopic shape aspects that he or she considers meaningful for the retrieval, and the desired level of accuracy of the matching, which means that the visual query shape must be considered with a given tolerance in representing the desired shapes. The evaluation experiments showed that this system can be suited to different retrieval behaviors, and that, generally, the combination of the multiple shape representations increases both recall and precision with respect to the application of any single representation.
    Source
    Journal of the American Society for Information Science and Technology. 61(2010) no.5, S.907-926
  9. Behnert, C.; Lewandowski, D.: ¬A framework for designing retrieval effectiveness studies of library information systems using human relevance assessments (2017) 0.01
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    Abstract
    Purpose This paper demonstrates how to apply traditional information retrieval evaluation methods based on standards from the Text REtrieval Conference (TREC) and web search evaluation to all types of modern library information systems including online public access catalogs, discovery systems, and digital libraries that provide web search features to gather information from heterogeneous sources. Design/methodology/approach We apply conventional procedures from information retrieval evaluation to the library information system context considering the specific characteristics of modern library materials. Findings We introduce a framework consisting of five parts: (1) search queries, (2) search results, (3) assessors, (4) testing, and (5) data analysis. We show how to deal with comparability problems resulting from diverse document types, e.g., electronic articles vs. printed monographs and what issues need to be considered for retrieval tests in the library context. Practical implications The framework can be used as a guideline for conducting retrieval effectiveness studies in the library context. Originality/value Although a considerable amount of research has been done on information retrieval evaluation, and standards for conducting retrieval effectiveness studies do exist, to our knowledge this is the first attempt to provide a systematic framework for evaluating the retrieval effectiveness of twenty-first-century library information systems. We demonstrate which issues must be considered and what decisions must be made by researchers prior to a retrieval test.
  10. Semantic applications (2018) 0.01
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    Content
    Introduction.- Ontology Development.- Compliance using Metadata.- Variety Management for Big Data.- Text Mining in Economics.- Generation of Natural Language Texts.- Sentiment Analysis.- Building Concise Text Corpora from Web Contents.- Ontology-Based Modelling of Web Content.- Personalized Clinical Decision Support for Cancer Care.- Applications of Temporal Conceptual Semantic Systems.- Context-Aware Documentation in the Smart Factory.- Knowledge-Based Production Planning for Industry 4.0.- Information Exchange in Jurisdiction.- Supporting Automated License Clearing.- Managing cultural assets: Implementing typical cultural heritage archive's usage scenarios via Semantic Web technologies.- Semantic Applications for Process Management.- Domain-Specific Semantic Search Applications.
    LCSH
    Information storage and retrieval
    Management information systems
    Information Systems Applications (incl. Internet)
    Management of Computing and Information Systems
    Information Storage and Retrieval
    RSWK
    Wissensbasiertes System
    Information Retrieval
    Subject
    Wissensbasiertes System
    Information Retrieval
    Information storage and retrieval
    Management information systems
    Information Systems Applications (incl. Internet)
    Management of Computing and Information Systems
    Information Storage and Retrieval
  11. Dousa, T.M.: Categories and the architectonics of system in Julius Otto Kaiser's method of systematic indexing (2014) 0.01
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    Abstract
    Categories, or concepts of high generality representing the most basic kinds of entities in the world, have long been understood to be a fundamental element in the construction of knowledge organization systems (KOSs), particularly faceted ones. Commentators on facet analysis have tended to foreground the role of categories in the structuring of controlled vocabularies and the construction of compound index terms, and the implications of this for subject representation and information retrieval. Less attention has been paid to the variety of ways in which categories can shape the overall architectonic framework of a KOS. This case study explores the range of functions that categories took in structuring various aspects of an early analytico-synthetic KOS, Julius Otto Kaiser's method of Systematic Indexing (SI). Within SI, categories not only functioned as mechanisms to partition an index vocabulary into smaller groupings of terms and as elements in the construction of compound index terms but also served as means of defining the units of indexing, or index items, incorporated into an index; determining the organization of card index files and the articulation of the guide card system serving as a navigational aids thereto; and setting structural constraints to the establishment of cross-references between terms. In all these ways, Kaiser's system of categories contributed to the general systematicity of SI.
    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
  12. Sojka, P.: Exploiting semantic annotations in math information retrieval (2012) 0.01
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    Abstract
    This paper describes exploitation of semantic annotations in the design and architecture of MIaS (Math Indexer and Searcher) system for mathematics retrieval. Basing on the claim that navigational and research search are 'killer' applications for digital library such as the European Digital Mathematics Library, EuDML, we argue for an approach based on Natural Language Processing techniques as used in corpus management systems such as the Sketch Engine, that will reach web scalability and avoid inference problems. The main ideas are 1) to augment surface texts (including math formulae) with additional linked representations bearing semantic information (expanded formulae as text, canonicalized text and subformulae) for indexing, including support for indexing structural information (expressed as Content MathML or other tree structures) and 2) use semantic user preferences to order found documents. The semantic enhancements of the MIaS system are being implemented as a math-aware search engine based on the state-of-the-art system Apache Lucene, with support for [MathML] tree indexing. Scalability issues have been checked against more than 400,000 arXiv documents.
    Source
    Proceedings, ESAIR '12 Proceedings of the fifth workshop on Exploiting semantic annotations in information retrieval
  13. Rorissa, A.; Yuan, X.: Visualizing and mapping the intellectual structure of information retrieval (2012) 0.01
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    Abstract
    Information retrieval is a long established subfield of library and information science. Since its inception in the early- to mid -1950s, it has grown as a result, in part, of well-regarded retrieval system evaluation exercises/campaigns, the proliferation of Web search engines, and the expansion of digital libraries. Although researchers have examined the intellectual structure and nature of the general field of library and information science, the same cannot be said about the subfield of information retrieval. We address that in this work by sketching the information retrieval intellectual landscape through visualizations of citation behaviors. Citation data for 10 years (2000-2009) were retrieved from the Web of Science and analyzed using existing visualization techniques. Our results address information retrieval's co-authorship network, highly productive authors, highly cited journals and papers, author-assigned keywords, active institutions, and the import of ideas from other disciplines.
    Source
    Information processing and management. 48(2012) no.1, S.120-135
  14. Paul-Hus, A.; Desrochers, N.; Rijcke, S.de; Rushforth, A.D.: ¬The reward system of science (2017) 0.01
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    Date
    20. 1.2015 18:30:22
    Footnote
    Guest editorial für ein Special issue on "The reward system of science".
    Source
    Aslib journal of information management. 69(2017) no.5, S.478-485
  15. Angelini, M.; Fazzini, V.; Ferro, N.; Santucci, G.; Silvello, G.: CLAIRE: A combinatorial visual analytics system for information retrieval evaluation (2018) 0.01
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    Abstract
    Information Retrieval (IR) develops complex systems, constituted of several components, which aim at returning and optimally ranking the most relevant documents in response to user queries. In this context, experimental evaluation plays a central role, since it allows for measuring IR systems effectiveness, increasing the understanding of their functioning, and better directing the efforts for improving them. Current evaluation methodologies are limited by two major factors: (i) IR systems are evaluated as "black boxes", since it is not possible to decompose the contributions of the different components, e.g., stop lists, stemmers, and IR models; (ii) given that it is not possible to predict the effectiveness of an IR system, both academia and industry need to explore huge numbers of systems, originated by large combinatorial compositions of their components, to understand how they perform and how these components interact together. We propose a Combinatorial visuaL Analytics system for Information Retrieval Evaluation (CLAIRE) which allows for exploring and making sense of the performances of a large amount of IR systems, in order to quickly and intuitively grasp which system configurations are preferred, what are the contributions of the different components and how these components interact together. The CLAIRE system is then validated against use cases based on several test collections using a wide set of systems, generated by a combinatorial composition of several off-the-shelf components, representing the most common denominator almost always present in English IR systems. In particular, we validate the findings enabled by CLAIRE with respect to consolidated deep statistical analyses and we show that the CLAIRE system allows the generation of new insights, which were not detectable with traditional approaches.
    Source
    Information processing and management. 54(2018) no.6, S.1077-1100
  16. Líska, M.: Evaluation of mathematics retrieval (2013) 0.01
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    Abstract
    The thesis deals with the evaluation of mathematics information retrieval (IR). It gives an overview of the history of regular IR evaluation, initiatives that are engaged in this field of research as well as most common methods and measures used for evaluation. The findings are applied to the specifics of mathematics retrieval. This thesis also summarizes the state-of-the-art of MIaS math search system, which is already being used in an international web portal. Latest developments aiming towards the second version of the system are described. In addition to participating in the international evaluation conference and workshop, MIaS is tested for effectiveness and efficiency in this work. Measured performance indicators are evaluated and future work is suggested accordingly.
  17. Xie, I.; Joo, S.; Bennett-Kapusniak, R.: User involvement and system support in applying search tactics (2017) 0.01
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    Abstract
    Both user involvement and system support play important roles in applying search tactics. To apply search tactics in the information retrieval (IR) processes, users make decisions and take actions in the search process, while IR systems assist them by providing different system features. After analyzing 61 participants' information searching diaries and questionnaires we identified various types of user involvement and system support in applying different types of search tactics. Based on quantitative analysis, search tactics were classified into 3 groups: user-dominated, system-dominated, and balanced tactics. We further explored types of user involvement and types of system support in applying search tactics from the 3 groups. The findings show that users and systems play major roles in applying user-dominated and system-dominated tactics, respectively. When applying balanced tactics, users and systems must collaborate closely with each other. In this article, we propose a model that illustrates user involvement and system support as they occur in user-dominated tactics, system-dominated tactics, and balanced tactics. Most important, IR system design implications are discussed to facilitate effective and efficient applications of the 3 groups of search tactics.
    Source
    Journal of the Association for Information Science and Technology. 68(2017) no.5, S.1165-1185
  18. Lee, J.H.; Price, R.: User experience with commercial music services : an empirical exploration (2016) 0.01
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    Abstract
    The music information retrieval (MIR) community has long understood the role of evaluation as a critical component for successful information retrieval systems. Over the past several years, it has also become evident that user-centered evaluation based on realistic tasks is essential for creating systems that are commercially marketable. Although user-oriented research has been increasing, the MIR field is still lacking in holistic, user-centered approaches to evaluating music services beyond measuring the performance of search or classification algorithms. In light of this need, we conducted a user study exploring how users evaluate their overall experience with existing popular commercial music services, asking about their interactions with the system as well as situational and personal characteristics. In this paper, we present a qualitative heuristic evaluation of commercial music services based on Jakob Nielsen's 10 usability heuristics for user interface design, and also discuss 8 additional criteria that may be used for the holistic evaluation of user experience in MIR systems. Finally, we recommend areas of future user research raised by trends and patterns that surfaced from this user study.
    Date
    17. 3.2016 19:22:15
    Source
    Journal of the Association for Information Science and Technology. 67(2016) no.4, S.800-811
  19. Chu, H.: Information representation and retrieval in the digital age (2010) 0.01
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    Content
    Information representation and retrieval : an overview -- Information representation I : basic approaches -- Information representation II : related topics -- Language in information representation and retrieval -- Retrieval techniques and query representation -- Retrieval approaches -- Information retrieval models -- Information retrieval systems -- Retrieval of information unique in content or format -- The user dimension in information representation and retrieval -- Evaluation of information representation and retrieval -- Artificial intelligence in information representation and retrieval.
    Imprint
    Medford, NJ : Information Today
    LCSH
    Information organization
    Information retrieval
    Information storage and retrieval systems
    Subject
    Information organization
    Information retrieval
    Information storage and retrieval systems
  20. Peters, C.; Braschler, M.; Clough, P.: Multilingual information retrieval : from research to practice (2012) 0.01
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    Abstract
    We are living in a multilingual world and the diversity in languages which are used to interact with information access systems has generated a wide variety of challenges to be addressed by computer and information scientists. The growing amount of non-English information accessible globally and the increased worldwide exposure of enterprises also necessitates the adaptation of Information Retrieval (IR) methods to new, multilingual settings.Peters, Braschler and Clough present a comprehensive description of the technologies involved in designing and developing systems for Multilingual Information Retrieval (MLIR). They provide readers with broad coverage of the various issues involved in creating systems to make accessible digitally stored materials regardless of the language(s) they are written in. Details on Cross-Language Information Retrieval (CLIR) are also covered that help readers to understand how to develop retrieval systems that cross language boundaries. Their work is divided into six chapters and accompanies the reader step-by-step through the various stages involved in building, using and evaluating MLIR systems. The book concludes with some examples of recent applications that utilise MLIR technologies. Some of the techniques described have recently started to appear in commercial search systems, while others have the potential to be part of future incarnations.The book is intended for graduate students, scholars, and practitioners with a basic understanding of classical text retrieval methods. It offers guidelines and information on all aspects that need to be taken into consideration when building MLIR systems, while avoiding too many 'hands-on details' that could rapidly become obsolete. Thus it bridges the gap between the material covered by most of the classical IR textbooks and the novel requirements related to the acquisition and dissemination of information in whatever language it is stored.
    Content
    Inhalt: 1 Introduction 2 Within-Language Information Retrieval 3 Cross-Language Information Retrieval 4 Interaction and User Interfaces 5 Evaluation for Multilingual Information Retrieval Systems 6 Applications of Multilingual Information Access
    RSWK
    Information-Retrieval-System / Mehrsprachigkeit / Abfrage / Zugriff
    Subject
    Information-Retrieval-System / Mehrsprachigkeit / Abfrage / Zugriff

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