Search (8 results, page 1 of 1)

Ahn, J.-w.; Soergel, D.; Lin, X.; Zhang, M.: Mapping between ARTstor terms and the Getty Art and Architecture Thesaurus (2014) 0.06

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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

Soergel, D.: Indexing and retrieval performance : the logical evidence (1994) 0.04
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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
Soergel, D.: Conceptual foundations for semantic mapping and semantic search (2011) 0.02
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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.

Soergel, D.: Knowledge organization for learning (2014) 0.01

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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

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

Komlodi, A.; Soergel, D.; Marchionini, G.: Search histories for user support in user interfaces (2006) 0.01

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Date: 22. 7.2006 18:04:19

Zhang, P.; Soergel, D.: Towards a comprehensive model of the cognitive process and mechanisms of individual sensemaking (2014) 0.01

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Date: 22. 8.2014 16:55:39

Soergel, D.: Unleashing the power of data through organization : structure and connections for meaning, learning and discovery (2015) 0.01

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Date: 27.11.2015 20:52:22

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