Search (11 results, page 1 of 1)

  • × author_ss:"Soergel, D."
  1. Komlodi, A.; Soergel, D.; Marchionini, G.: Search histories for user support in user interfaces (2006) 0.01
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    Abstract
    The authors describe user interface tools based on search histories to support legal information seekers. The design of the tools was informed by the results of a user study (Komlodi, 2002a) that examined the use of human memory, external memory aids, and search histories in legal information seeking and derived interface design recommendations for information storage and retrieval systems. The data collected were analyzed to identify potential task areas where search histories can support information seeking and use. The results show that many information-seeking tasks can take advantage of automatically and manually recorded history information. These findings encouraged the design of user interface tools building on search history information: direct search history displays, history-enabled scratchpad facilities, and organized results collection tools.
    Date
    22. 7.2006 18:04:19
  2. Zhang, P.; Soergel, D.: Towards a comprehensive model of the cognitive process and mechanisms of individual sensemaking (2014) 0.01
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    Abstract
    This review introduces a comprehensive model of the cognitive process and mechanisms of individual sensemaking to provide a theoretical basis for: - empirical studies that improve our understanding of the cognitive process and mechanisms of sensemaking and integration of results of such studies; - education in critical thinking and sensemaking skills; - the design of sensemaking assistant tools that support and guide users. The paper reviews and extends existing sensemaking models with ideas from learning and cognition. It reviews literature on sensemaking models in human-computer interaction (HCI), cognitive system engineering, organizational communication, and library and information sciences (LIS), learning theories, cognitive psychology, and task-based information seeking. The model resulting from this synthesis moves to a stronger basis for explaining sensemaking behaviors and conceptual changes. The model illustrates the iterative processes of sensemaking, extends existing models that focus on activities by integrating cognitive mechanisms and the creation of instantiated structure elements of knowledge, and different types of conceptual change to show a complete picture of the cognitive processes of sensemaking. The processes and cognitive mechanisms identified provide better foundations for knowledge creation, organization, and sharing practices and a stronger basis for design of sensemaking assistant systems and tools.
    Date
    22. 8.2014 16:55:39
  3. Komlodi, A.; Marchionini, G.; Soergel, D.: Search history support for finding and using information : user interface design recommendations from a user study (2007) 0.00
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    Abstract
    Recording search histories, presenting them to the searcher, and building additional interface tools on them offer many opportunities for supporting user tasks in information seeking and use. This study investigated the use of search history information in legal information seeking. Qualitative methods were used to explore how attorneys and law librarians used their memory and external memory aids while searching for information and in transferring to information use. Based on the findings, interface design recommendations were made for information systems. Results of the study from the legal user group presented evidence of the usefulness of search histories and history-based interface tools. Both user manifestations and researcher observations revealed that searchers need historical information in information seeking. Search histories were found to be useful in many user tasks: memory support, search system use, information seeking, information use, task management, task integration, and collaboration. Integrating information across various user tasks and collaborating with others are extensions of traditional information-seeking and use models. These findings encouraged the design of user interface tools and guidelines building on search history information.
  4. Soergel, D.: Knowledge organization for learning (2014) 0.00
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    Pages
    S.22-32
    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
  5. Soergel, D.; Popescu, D.: Organization authority database design with classification principles (2015) 0.00
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    Abstract
    We illustrate the principle of unified treatment of all authority data for any kind of entities, subjects/topics, places, events, persons, organizations, etc. through the design and implementation of an enriched authority database for organizations, maintained as an integral part of an authority database that also includes subject authority control / classification data, using the same structures for data and common modules for processing and display of data. Organization-related data are stored in information systems of many companies. We specifically examine the case of the World Bank Group (WBG) according to organization role: suppliers, partners, customers, competitors, authors, publishers, or subjects of documents, loan recipients, suppliers for WBG-funded projects and subunits of the organization itself. A central organization authority where each organization is identified by a URI, represented by several names and linked to other organizations through hierarchical and other relationships serves to link data from these disparate information systems. Designing the conceptual structure of a unified authority database requires integrating SKOS, the W3C Organization Ontology and other schemes into one comprehensive ontology. To populate the authority database with organizations, we import data from external sources (e.g., DBpedia and Library of Congress authorities) and internal sources (e.g., the lists of organizations from multiple WBG information systems).
  6. Soergel, D.: Indexing and retrieval performance : the logical evidence (1994) 0.00
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    Abstract
    This article presents a logical analysis of the characteristics of indexing and their effects on retrieval performance.It establishes the ability to ask the questions one needs to ask as the foundation of performance evaluation, and recall and discrimination as the basic quantitative performance measures for binary noninteractive retrieval systems. It then defines the characteristics of indexing that affect retrieval - namely, indexing devices, viewpoint-based and importance-based indexing exhaustivity, indexing specifity, indexing correctness, and indexing consistency - and examines in detail their effects on retrieval. It concludes that retrieval performance depends chiefly on the match between indexing and the requirements of the individual query and on the adaption of the query formulation to the characteristics of the retrieval system, and that the ensuing complexity must be considered in the design and testing of retrieval systems
  7. Berti, Jr., D.W.; Lima, G.; Maculan, B.; Soergel, D.: Computer-assisted checking of conceptual relationships in a large thesaurus (2018) 0.00
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    Date
    17. 1.2019 19:04:22
  8. Ahn, J.-w.; Soergel, D.; Lin, X.; Zhang, M.: Mapping between ARTstor terms and the Getty Art and Architecture Thesaurus (2014) 0.00
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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
  9. Wang, P.; Soergel, D.: ¬A cognitive model of document use during a research project : Study I: Document selection (1998) 0.00
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    Abstract
    This article proposes a model of document selection by real users of a bibliographic retrieval system. It reports on Part 1 of a longitudinal study of decision making on document use by academics during a actual research project. (Part 2 followed up the same users on how the selected documents were actually used in subsequent stages). The participants are 25 self-selected faculty and graduate students in Agricultural Economics. After a reference interview, the researcher conducted a search of DIALOG databases and prepared a printout. The users selected documents from this printout, They were asked to read and think aloud while selecting documents. There verbal reports were recorded and analyzed from a utiliy-theoretic perspective. The following model of the decision-making in the selection process emerged: document information lemenets (DIEs) in document records provide the information for judging the documents on 11 criteria (including topicality, orientation, quality, novelty, and authority); the criteria judgments are comninded in an assessment of document value along 5 dimensions (Epistemic, functional, conditional, social, and emotional values), leading to the use decision. This model accounts for the use of personal knowledge and decision strategies applied in the selection process. The model has implications for the design of an intelligent document selection assistant
  10. Zhang, P.; Soergel, D.: Cognitive mechanisms in sensemaking : a qualitative user study (2020) 0.00
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    Abstract
    Throughout an information search, a user needs to make sense of the information found to create an understanding. This requires cognitive effort that can be demanding. Building on prior sensemaking models and expanding them with ideas from learning and cognitive psychology, we examined the use of cognitive mechanisms during individual sensemaking. We conducted a qualitative user study of 15 students who searched for and made sense of information for business analysis and news writing tasks. Through the analysis of think-aloud protocols, recordings of screen movements, intermediate work products of sensemaking, including notes and concept maps, and final reports, we observed the use of 17 data-driven and structure-driven mechanisms for processing new information, examining individual concepts and relationships, and detecting anomalies. These cognitive mechanisms, as the basic operators that move sensemaking forward, provide in-depth understanding of how people process information to produce sense. Meaningful learning and sensemaking are closely related, so our findings apply to learning as well. Our results contribute to a better understanding of the sensemaking process-how people think-and this better understanding can inform the teaching of thinking skills and the design of improved sensemaking assistants and mind tools.
  11. Soergel, D.: Unleashing the power of data through organization : structure and connections for meaning, learning and discovery (2015) 0.00
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    Date
    27.11.2015 20:52:22