Search (18 results, page 1 of 1)

  • × author_ss:"Soergel, D."
  1. Ahn, J.-w.; Soergel, D.; Lin, X.; Zhang, M.: Mapping between ARTstor terms and the Getty Art and Architecture Thesaurus (2014) 0.04 
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    Abstract
    To make better use of knowledge organization systems (KOS) for query expansion, we have developed a pattern-based technique for composition ontology mapping in a specific domain. The technique was tested in a two-step mapping. The user's free-text queries were first mapped to Getty's Art & Architecture Thesaurus (AAT) terms. The AAT-based queries were then mapped to a search engine's indexing vocabulary (ARTstor terms). The result indicated that our technique has improved the mapping success rate from 40% to 70%. We discuss also how the technique may be applied to other KOS mapping and how it may be implemented in practical systems.
    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
  2. Komlodi, A.; Soergel, D.; Marchionini, G.: Search histories for user support in user interfaces (2006) 0.04 
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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
  3. Soergel, D.: Unleashing the power of data through organization : structure and connections for meaning, learning and discovery (2015) 0.04 
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    Abstract
    Knowledge organization is needed everywhere. Its importance is marked by its pervasiveness. This paper will show many areas, tasks, and functions where proper use of knowledge organization, construed as broadly as the term implies, provides support for learning and understanding, for sense making and meaning making, for inference, and for discovery by people and computer programs and thereby will make the world a better place. The paper focuses not on metadata but rather on structuring and representing the actual data or knowledge itself and argues for more communication between the largely separated KO, ontology, data modeling, and semantic web communities to address the many problems that need better solutions. In particular, the paper discusses the application of knowledge organization in knowledge bases for question answering and cognitive systems, knowledge bases for information extraction from text or multimedia, linked data, big data and data analytics, electronic health records as one example, influence diagrams (causal maps), dynamic system models, process diagrams, concept maps, and other node-link diagrams, information systems in organizations, knowledge organization for understanding and learning, and knowledge transfer between domains. The paper argues for moving beyond triples to a more powerful representation using entities and multi-way relationships but not attributes.
    Date
    27.11.2015 20:52:22
  4. Zhang, P.; Soergel, D.: Towards a comprehensive model of the cognitive process and mechanisms of individual sensemaking (2014) 0.03 
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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
  5. Soergel, D.: Knowledge organization for learning (2014) 0.02 
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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
  6. Soergel, D.: Digital libraries and knowledge organization (2009) 0.02 
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    Abstract
    This chapter describes not so much what digital libraries are but what digital libraries with semantic support could and should be. It discusses the nature of Knowledge Organization Systems (KOS) and how KOS can support digital library users. It projects a vision for designers to make and for users to demand better digital libraries. What is a digital library? The term \Digital Library" (DL) is used to refer to a range of systems, from digital object and metadata repositories, reference-linking systems, archives, and content management systems to complex systems that integrate advanced digital library services and support for research and practice communities. A DL may offer many technology-enabled functions and services that support users, both as information producers and as information users. Many of these functions appear in information systems that would not normally be considered digital libraries, making boundaries even more blurry. Instead of pursuing the hopeless quest of coming up with the definition of digital library, we present a framework that allows a clear and somewhat standardized description of any information system so that users can select the system(s) that best meet their requirements. Section 2 gives a broad outline for more detail see the DELOS DL Reference Model.
  7. Soergel, D.: Information structure management : a unified framework for indexing and searching in database, expert, information-retrieval, and hypermedia systems (1994) 0.02 
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  8. Soergel, D.: Data structure and software support for for integrated thesauri (1996) 0.02 
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    Source
    Compatibility and integration of order systems: Research Seminar Proceedings of the TIP/ISKO Meeting, Warsaw, 13-15 September 1995
  9. Berti, Jr., D.W.; Lima, G.; Maculan, B.; Soergel, D.: Computer-assisted checking of conceptual relationships in a large thesaurus (2018) 0.01 
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    Date
    17. 1.2019 19:04:22
  10. Soergel, D.: Indexing and retrieval performance : the logical evidence (1994) 0.01 
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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
  11. Soergel, D.; Popescu, D.: Organization authority database design with classification principles (2015) 0.01 
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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).
  12. Wang, P.; Soergel, D.: Beyond topical relevance : document selection behaviour of real users of IR systems (1993) 0.01 
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  13. Balakrishnan, U.; Voß, J.; Soergel, D.: Towards integrated systems for KOS management, mapping, and access : Coli-conc and its collaborative computer-assisted KOS mapping tool Cocoda (2018) 0.01 
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  14. Komlodi, A.; Marchionini, G.; Soergel, D.: Search history support for finding and using information : user interface design recommendations from a user study (2007) 0.01 
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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.
  15. Soergel, D.: Conceptual foundations for semantic mapping and semantic search (2011) 0.01 
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    Abstract
    This article proposes an approach to mapping between Knowledge Organization Systems (KOS), including ontologies, classifications, taxonomies, and thesauri and even natural languages, that is based on deep semantics. In this approach, concepts in each KOS are expressed through canonical expressions, such as description logic formulas, that combine atomic (or elemental) concepts drawn from a core classification. Relationships between concepts within or across KOS can then be derived by reasoning over the canonical expressions. The canonical expressions can also be used to provide a facet-based query formulation front-end for free-text search. The article illustrates this approach through many examples. It presents methods for the efficient construction of canonical expressions (linguistic analysis, exploiting information in the KOS and their hierarchies, and crowdsourcing) that make this approach feasible.
  16. Soergel, D.: Towards a relation ontology for the Semantic Web (2011) 0.01 
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    Abstract
    The Semantic Web consists of data structured for use by computer programs, such as data sets made available under the Linked Open Data initiative. Much of this data is structured following the entity-relationship model encoded in RDF for syntactic interoperability. For semantic interoperability, the semantics of the relationships used in any given dataset needs to be made explicit. Ultimately this requires an inventory of these relationships structured around a relation ontology. This talk will outline a blueprint for such an inventory, including a format for the description/definition of binary and n-ary relations, drawing on ideas put forth in the classification and thesaurus community over the last 60 years, upper level ontologies, systems like FrameNet, the Buffalo Relation Ontology, and an analysis of linked data sets.
  17. Soergel, D.: Mathematical analysis of documentation systems : an attempt to a theory of classification and search request formulation (1967) 0.01 
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  18. Golub, K.; Soergel, D.; Buchanan, G.; Tudhope, D.; Lykke, M.; Hiom, D.: ¬A framework for evaluating automatic indexing or classification in the context of retrieval (2016) 0.01 
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    Abstract
    Tools for automatic subject assignment help deal with scale and sustainability in creating and enriching metadata, establishing more connections across and between resources and enhancing consistency. Although some software vendors and experimental researchers claim the tools can replace manual subject indexing, hard scientific evidence of their performance in operating information environments is scarce. A major reason for this is that research is usually conducted in laboratory conditions, excluding the complexities of real-life systems and situations. The article reviews and discusses issues with existing evaluation approaches such as problems of aboutness and relevance assessments, implying the need to use more than a single "gold standard" method when evaluating indexing and retrieval, and proposes a comprehensive evaluation framework. The framework is informed by a systematic review of the literature on evaluation approaches: evaluating indexing quality directly through assessment by an evaluator or through comparison with a gold standard, evaluating the quality of computer-assisted indexing directly in the context of an indexing workflow, and evaluating indexing quality indirectly through analyzing retrieval performance.

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