Search (223 results, page 11 of 12)

  • × language_ss:"e"
  • × theme_ss:"Semantisches Umfeld in Indexierung u. Retrieval"
  1. Gnoli, C.; Pusterla, L.; Bendiscioli, A.; Recinella, C.: Classification for collections mapping and query expansion (2016) 0.00 
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    Abstract
    Dewey Decimal Classification has been used to organize materials owned by the three scientific libraries at the University of Pavia, and to allow integrated browsing in their union catalogue through SciGator, a home built web-based user interface. Classification acts as a bridge between collections located in different places and shelved according to different local schemes. Furthermore, cross-discipline relationships recorded in the system allow for expanded queries that increase recall. Advantages and possible improvements of such a system are discussed.
    Type
    a
  2. Wongthontham, P.; Abu-Salih, B.: Ontology-based approach for semantic data extraction from social big data : state-of-the-art and research directions (2018) 0.00 
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    Abstract
    A challenge of managing and extracting useful knowledge from social media data sources has attracted much attention from academic and industry. To address this challenge, semantic analysis of textual data is focused in this paper. We propose an ontology-based approach to extract semantics of textual data and define the domain of data. In other words, we semantically analyse the social data at two levels i.e. the entity level and the domain level. We have chosen Twitter as a social channel challenge for a purpose of concept proof. Domain knowledge is captured in ontologies which are then used to enrich the semantics of tweets provided with specific semantic conceptual representation of entities that appear in the tweets. Case studies are used to demonstrate this approach. We experiment and evaluate our proposed approach with a public dataset collected from Twitter and from the politics domain. The ontology-based approach leverages entity extraction and concept mappings in terms of quantity and accuracy of concept identification.
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  3. Context: nature, impact, and role : 5th International Conference on Conceptions of Library and Information Science, CoLIS 2005, Glasgow 2005; Proceedings (2005) 0.00 
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    Content
    Das Buch ist in die Abschnitte Invited Papers (1 Beitrag, 1 Abstract), Representing Context (3 Beiträge), Context and Relevance in Information Seeking (3), Context and Information (3), Contextualised Information Seeking (3), Agendas for Context (3), Context and Documents (2) und Workshops (2 Ankündigungstexte) gegliedert und enthält ein simples Autoren-, jedoch kein Sachregister. Die Autoren der Beiträge stammen mit einigen Ausnahmen (Italien, Frankreich, Russland) aus den angelsächsischen und skandinavischen Ländern.
    Footnote
    Rez. in: Mitt. VÖB 59(2006) H.3, S.100-103 (O. Oberhauser): "Dieses als Band 3507 der bekannten, seit 1973 erscheinenden Springer-Serie Lecture Notes in Computer Science (LNCS) publizierte Buch versammelt die Vorträge der 5. Tagung "Conceptions of Library and Information Science". CoLIS hat sich in den letzten anderthalb Jahrzehnten als internationales Forum für die Präsentation und Rezeption von Forschung auf den Fachgebieten Informatik und Informationswissenschaft etabliert. Auf die 1992 in Tampere (Finnland) anlässlich des damals 20jährigen Bestehens des dortigen Instituts für Informationswissenschaft abgehaltene erste Tagung folgten weitere in Kopenhagen (1996), Dubrovnik (1999) und Seattle, WA (2002). Die zuletzt an der Strathclyde University in Glasgow (2005) veranstaltete Konferenz war dem Thema "Context" im Rahmen der informationsbezogenen Forschung gewidmet, einem komplexen, dynamischen und multidimensionalen Begriff von grosser Bedeutung für das Verhalten und die Interaktion von Mensch und Maschine. . . .
    Am interessantesten und wichtigsten erschien mir der Grundsatzartikel von Peter Ingwersen und Kalervo Järvelin (Kopenhagen/Tampere), The sense of information: Understanding the cognitive conditional information concept in relation to information acquisition (S. 7-19). Hier versuchen die Autoren, den ursprünglich von Ingwersen1 vorgeschlagenen und damals ausschliesslich im Zusammenhang mit dem interaktiven Information Retrieval verwendeten Begriff "conditional cognitive information" anhand eines erweiterten Modells nicht nur auf das Gesamtgebiet von "information seeking and retrieval" (IS&R) auszuweiten, sondern auch auf den menschlichen Informationserwerb aus der Sinneswahrnehmung, wie z.B. im Alltag oder im Rahmen der wissenschaftlichen Erkenntnistätigkeit. Dabei werden auch alternative Informationsbegriffe sowie die Beziehung von Information und Bedeutung diskutiert. Einen ebenfalls auf Ingwersen zurückgehenden Ansatz thematisiert der Beitrag von Birger Larsen (Kopenhagen), indem er sich mit dessen vor über 10 Jahren veröffentlichten2 Principle of Polyrepresentation befasst. Dieses beruht auf der Hypothese, wonach die Überlappung zwischen unterschiedlichen kognitiven Repräsentationen - nämlich jenen der Situation des Informationssuchenden und der Dokumente - zur Reduktion der einer Retrievalsituation anhaftenden Unsicherheit und damit zur Verbesserung der Performance des IR-Systems genutzt werden könne. Das Prinzip stellt die Dokumente, ihre Autoren und Indexierer, aber auch die sie zugänglich machende IT-Lösung in einen umfassenden und kohärenten theoretischen Bezugsrahmen, der die benutzerorientierte Forschungsrichtung "Information-Seeking" mit der systemorientierten IR-Forschung zu integrieren trachtet. Auf der Basis theoretischer Überlegungen sowie der (wenigen) dazu vorliegenden empirischen Studien hält Larsen das Model, das von Ingwersen sowohl für "exact match-IR" als auch für "best match-IR" intendiert war, allerdings schon in seinen Grundzügen für "Boolean" (d.h. "exact match"-orientiert) und schlägt ein "polyrepresentation continuum" als Verbesserungsmöglichkeit vor.
    Mehrere Beiträge befassen sich mit dem Problem der Relevanz. Erica Cosijn und Theo Bothma (Pretoria) argumentieren, dass für das Benutzerverhalten neben der thematischen Relevanz auch verschiedene andere Relevanzdimensionen eine Rolle spielen und schlagen auf der Basis eines (abermals auf Ingwersen zurückgehenden) erweiterten Relevanzmodells vor, dass IR-Systeme die Möglichkeit zur Abgabe auch kognitiver, situativer und sozio-kognitiver Relevanzurteile bieten sollten. Elaine Toms et al. (Kanada) berichten von einer Studie, in der versucht wurde, die schon vor 30 Jahren von Tefko Saracevic3 erstellten fünf Relevanzdimensionen (kognitiv, motivational, situativ, thematisch und algorithmisch) zu operationalisieren und anhand von Recherchen mit einer Web-Suchmaschine zu untersuchen. Die Ergebnisse zeigten, dass sich diese fünf Dimensionen in drei Typen vereinen lassen, die Benutzer, System und Aufgabe repräsentieren. Von einer völlig anderen Seite nähern sich Olof Sundin und Jenny Johannison (Boras, Schweden) der Relevanzthematik, indem sie einen kommunikationsorientierten, neo-pragmatistischen Ansatz (nach Richard Rorty) wählen, um Informationssuche und Relevanz zu analysieren, und dabei auch auf das Werk von Michel Foucault zurückgreifen. Weitere interessante Artikel befassen sich mit Bradford's Law of Scattering (Hjørland & Nicolaisen), Information Sharing and Timing (Widén-Wulff & Davenport), Annotations as Context for Searching Documents (Agosti & Ferro), sowie dem Nutzen von neuen Informationsquellen wie Web Links, Newsgroups und Blogs für die sozial- und informationswissenschaftliche Forschung (Thelwall & Wouters). In Summe liegt hier ein interessantes und anspruchsvolles Buch vor - inhaltlich natürlich nicht gerade einheitlich und geschlossen, doch dies darf man bei einem Konferenzband ohnedies nicht erwarten. Manche der abgedruckten Beiträge sind sicher nicht einfach zu lesen, lohnen aber die Mühe. Auch für Praktiker aus Bibliothek und Information ist einiges dabei, sofern sie sich für die wissenschaftliche Basis ihrer Tätigkeit interessieren. Fachlich einschlägige Spezial- und grössere Allgemeinbibliotheken sollten das Werk daher unbedingt führen.
    RSWK
    Information Retrieval / Kontextbezogenes System / Kongress / Glasgow <2005>
    Information-Retrieval-System / Kontextbezogenes System / Kongress / Glasgow <2005>
    Elektronische Bibliothek / Information Retrieval / Relevanz-Feedback / Kontextbezogenes System / Kongress / Glasgow <2005>
    Subject
    Information Retrieval / Kontextbezogenes System / Kongress / Glasgow <2005>
    Information-Retrieval-System / Kontextbezogenes System / Kongress / Glasgow <2005>
    Elektronische Bibliothek / Information Retrieval / Relevanz-Feedback / Kontextbezogenes System / Kongress / Glasgow <2005>
  4. Sihvonen, A.; Vakkari, P.: Subject knowledge improves interactive query expansion assisted by a thesaurus (2004) 0.00 
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    Abstract
    This study explores how experts and novices in pedagogics expanded queries supported by the ERIC thesaurus, and how this was connected to the search effectiveness in an easy and a difficult search task. The expert group consisted of 15 undergraduates in pedagogy and the novice group of 15 students with no previous studies in this field. Their search logs were recorded and a pre- and post-search interview was conducted. The results show that the number and type of terms selected from the thesaurus for expansion by experts improved search effectiveness, whereas there were no connections between the use of thesaurus and improvement of effectiveness among novices. The effectiveness of expansions varied between the facets of the queries. Thus, a vital condition for benefiting from a thesaurus in query expansion to improve search results is sufficient familiarity with the search topic. The results suggest also that it is not in the first place the number of terms used in expansion, but their type and quality that are crucial for search success.
    Type
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  5. Meij, E.; Rijke, M. de: Thesaurus-based feedback to support mixed search and browsing environments (2007) 0.00 
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    Abstract
    We propose and evaluate a query expansion mechanism that supports searching and browsing in collections of annotated documents. Based on generative language models, our feedback mechanism uses document-level annotations to bias the generation of expansion terms and to generate browsing suggestions in the form of concepts selected from a controlled vocabulary (as typically used in digital library settings). We provide a detailed formalization of our feedback mechanism and evaluate its effectiveness using the TREC 2006 Genomics track test set. As to the retrieval effectiveness, we find a 20% improvement in mean average precision over a query-likelihood baseline, whilst increasing precision at 10. When we base the parameter estimation and feedback generation of our algorithm on a large corpus, we also find an improvement over state-of-the-art relevance models. The browsing suggestions are assessed along two dimensions: relevancy and specifity. We present an account of per-topic results, which helps understand for what type of queries our feedback mechanism is particularly helpful.
    Type
    a
  6. Magennis, M.: Expert rule-based query expansion (1995) 0.00 
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    Abstract
    Examines how, for term based free text retrieval, Interactive Query Expansion (IQE) provides better retrieval performance tahn Automatic Query Expansion (AQE) but the performance of IQE depends on the strategy employed by the user to select expansion terms. The aim is to build an expert query expansion system using term selection rules based on expert users' strategies. It is expected that such a system will achieve better performance for novice or inexperienced users that either AQE or IQE. The procedure is to discover expert IQE users' term selection strategies through observation and interrogation, to construct a rule based query expansion (RQE) system based on these and to compare the resulting retrieval performance with that of comparable AQE and IQE systems
    Type
    a
  7. Hancock-Beaulieu, M.; Walker, S.: ¬An evaluation of automatic query expansion in an online library catalogue (1992) 0.00 
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    Abstract
    An automatic query expansion (AQE) facility in anonline catalogue was evaluated in an operational library setting. The OKAPI experimental system had other features including: ranked output 'best match' keyword searching, automatic stemming, spelling normalisation and cross referencing as well as relevance feedback. A combination of transaction log analysis, search replays, questionnaires and interviews was used for data collection. Findings show that contrary to previous results, AQE was beneficial in a substantial number of searches. Use intentions, the effectiveness of the 'best match' search and user interaction were identified as the main factors affecting the take-up of the query expansion facility
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  8. Green, R.: See-also relationships in the Dewey Decimal Classification (2011) 0.00 
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    Abstract
    This paper investigates the semantics of topical, associative see-also relationships in schedule and table entries of the Dewey Decimal Classification (DDC) system. Based on the see-also relationships in a random sample of 100 classes containing one or more of these relationships, a semi-structured inventory of sources of see-also relationships is generated, of which the most important are lexical similarity, complementarity, facet difference, and relational configuration difference. The premise that see-also relationships based on lexical similarity may be language-specific is briefly examined. The paper concludes with recommendations on the continued use of see-also relationships in the DDC.
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    a
  9. Hancock-Beaulieu, M.: Interactive query expansion in an OPAC : interface and retrieval issues (1995) 0.00 
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  10. Gauch, S.; Chong, M.K.: Automatic word similarity detection for TREC 4 query expansion (1996) 0.00 
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  11. Gauch, S.; Wang, J.: Corpus analysis for TREC 5 query expansion (1997) 0.00 
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  12. Arenas, M.; Cuenca Grau, B.; Kharlamov, E.; Marciuska, S.; Zheleznyakov, D.: Faceted search over ontology-enhanced RDF data (2014) 0.00 
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    Abstract
    An increasing number of applications rely on RDF, OWL2, and SPARQL for storing and querying data. SPARQL, however, is not targeted towards end-users, and suitable query interfaces are needed. Faceted search is a prominent approach for end-user data access, and several RDF-based faceted search systems have been developed. There is, however, a lack of rigorous theoretical underpinning for faceted search in the context of RDF and OWL2. In this paper, we provide such solid foundations. We formalise faceted interfaces for this context, identify a fragment of first-order logic capturing the underlying queries, and study the complexity of answering such queries for RDF and OWL2 profiles. We then study interface generation and update, and devise efficiently implementable algorithms. Finally, we have implemented and tested our faceted search algorithms for scalability, with encouraging results.
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    a
  13. Li, N.; Sun, J.: Improving Chinese term association from the linguistic perspective (2017) 0.00 
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    Abstract
    The study aims to solve how to construct the semantic relations of specific domain terms by applying linguistic rules. The semantic structure analysis at the morpheme level was used for semantic measure, and a morpheme-based term association model was proposed by improving and combining the literal-based similarity algorithm and co-occurrence relatedness methods. This study provides a novel insight into the method of semantic analysis and calculation by morpheme parsing, and the proposed solution is feasible for the automatic association of compound terms. The results show that this approach could be used to construct appropriate term association and form a reasonable structural knowledge graph. However, due to linguistic differences, the viability and effectiveness of the use of our method in non-Chinese linguistic environments should be verified.
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    a
  14. Efthimiadis, E.N.: Approaches to search formulation and query expansion in information systems : DRS, DBMS, ES (1992) 0.00 
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  15. Hoang, H.H.; Tjoa, A.M: ¬The state of the art of ontology-based query systems : a comparison of existing approaches (2006) 0.00 
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  16. Tudhope, D.; Blocks, D.; Cunliffe, D.; Binding, C.: Query expansion via conceptual distance in thesaurus indexed collections (2006) 0.00 
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    Abstract
    Purpose - The purpose of this paper is to explore query expansion via conceptual distance in thesaurus indexed collections Design/methodology/approach - An extract of the National Museum of Science and Industry's collections database, indexed with the Getty Art and Architecture Thesaurus (AAT), was the dataset for the research. The system architecture and algorithms for semantic closeness and the matching function are outlined. Standalone and web interfaces are described and formative qualitative user studies are discussed. One user session is discussed in detail, together with a scenario based on a related public inquiry. Findings are set in context of the literature on thesaurus-based query expansion. This paper discusses the potential of query expansion techniques using the semantic relationships in a faceted thesaurus. Findings - Thesaurus-assisted retrieval systems have potential for multi-concept descriptors, permitting very precise queries and indexing. However, indexer and searcher may differ in terminology judgments and there may not be any exactly matching results. The integration of semantic closeness in the matching function permits ranked results for multi-concept queries in thesaurus-indexed applications. An in-memory representation of the thesaurus semantic network allows a combination of automatic and interactive control of expansion and control of expansion on individual query terms. Originality/value - The application of semantic expansion to browsing may be useful in interface options where thesaurus structure is hidden.
    Type
    a
  17. Fieldhouse, M.; Hancock-Beaulieu, M.: ¬The changing face of OKAPI (1994) 0.00 
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    Abstract
    Describes the OKAPI projects and OKAPI's development as an experimental online catalogue system over 10 years, first at the University of Westminster (formerly the Polytechnique of Central London) and subsequently at City University, London. The 1st OKAPI project in 1984 introduced 'best match' retrieval and focused on the user interface design. The 2nd investigated word stemming, spelling correction and cross reference tables as retrieval aids. A comparative study of 2 library catalogues was undertaken in 1987, while in 1988 query expansion and relevance feedback were introduced and evaluated by laboratory tests. In 1990 live evaluation of automatic query expansion was carried out and in 1993 subject enhancement of bibliographic records was investigated. The latest project has examined the design of a graphical user interface to support interactive query expansion. Discusses the research and evaluation of each project
    Type
    a
  18. Smeaton, A.F.; Kelledy, L.; O'Donnell, R.: TREC-4 experiments at Dublin City University : thresholding posting lists, query expansion with WordNet and POS tagging of Spanish (1996) 0.00 
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  19. Heuss, T.; Humm, B.; Deuschel, T.; Frohlich, T.; Herth, T.; Mitesser, O.: Semantically guided, situation-aware literature research (2015) 0.00 
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  20. Bean, C.: ¬The semantics of hierarchy : explicit parent-child relationships in MeSH tree structures (1998) 0.00 
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    Abstract
    Parent-Child relationships in MeSH trees were surveyed and described, and their patterns in the relational structure were determined for selected broad subject categories and subcategories. Is-a relationships dominated and were more prevalent overall than previously reported; however, an additional 67 different relationships were also seen, most of them nonhierarchical. Relational profiles were found to vary both within and among subject subdomains, but tended to display characteristic domain patterns. The implications for inferential reasoning and other cognitive and computational operations on hierarchical structures are considered
    Type
    a

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