Search (2209 results, page 1 of 111)

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  1. Hotho, A.; Bloehdorn, S.: Data Mining 2004 : Text classification by boosting weak learners based on terms and concepts (2004) 0.10 
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    Content
    Vgl.: http://www.google.de/url?sa=t&rct=j&q=&esrc=s&source=web&cd=1&cad=rja&ved=0CEAQFjAA&url=http%3A%2F%2Fciteseerx.ist.psu.edu%2Fviewdoc%2Fdownload%3Fdoi%3D10.1.1.91.4940%26rep%3Drep1%26type%3Dpdf&ei=dOXrUMeIDYHDtQahsIGACg&usg=AFQjCNHFWVh6gNPvnOrOS9R3rkrXCNVD-A&sig2=5I2F5evRfMnsttSgFF9g7Q&bvm=bv.1357316858,d.Yms.
    Date
    8. 1.2013 10:22:32
  2. Valauskas, E.J.: Creating an online help system (1994) 0.09 
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    Abstract
    Details how the ON-LINE Help Construction Kit (version 2.2) can be used to create a help system for searching online catalogues. Details the planning process when preparing such a system and how to use the kit to create help panels
  3. Gossen, T.: Search engines for children : search user interfaces and information-seeking behaviour (2016) 0.08 
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    Content
    Inhalt: Acknowledgments; Abstract; Zusammenfassung; Contents; List of Figures; List of Tables; List of Acronyms; Chapter 1 Introduction ; 1.1 Research Questions; 1.2 Thesis Outline; Part I Fundamentals ; Chapter 2 Information Retrieval for Young Users ; 2.1 Basics of Information Retrieval; 2.1.1 Architecture of an IR System; 2.1.2 Relevance Ranking; 2.1.3 Search User Interfaces; 2.1.4 Targeted Search Engines; 2.2 Aspects of Child Development Relevant for Information Retrieval Tasks; 2.2.1 Human Cognitive Development; 2.2.2 Information Processing Theory; 2.2.3 Psychosocial Development 2.3 User Studies and Evaluation2.3.1 Methods in User Studies; 2.3.2 Types of Evaluation; 2.3.3 Evaluation with Children; 2.4 Discussion; Chapter 3 State of the Art ; 3.1 Children's Information-Seeking Behaviour; 3.1.1 Querying Behaviour; 3.1.2 Search Strategy; 3.1.3 Navigation Style; 3.1.4 User Interface; 3.1.5 Relevance Judgement; 3.2 Existing Algorithms and User Interface Concepts for Children; 3.2.1 Query; 3.2.2 Content; 3.2.3 Ranking; 3.2.4 Search Result Visualisation; 3.3 Existing Information Retrieval Systems for Children; 3.3.1 Digital Book Libraries; 3.3.2 Web Search Engines 3.4 Summary and DiscussionPart II Studying Open Issues ; Chapter 4 Usability of Existing Search Engines for Young Users ; 4.1 Assessment Criteria; 4.1.1 Criteria for Matching the Motor Skills; 4.1.2 Criteria for Matching the Cognitive Skills; 4.2 Results; 4.2.1 Conformance with Motor Skills; 4.2.2 Conformance with the Cognitive Skills; 4.2.3 Presentation of Search Results; 4.2.4 Browsing versus Searching; 4.2.5 Navigational Style; 4.3 Summary and Discussion; Chapter 5 Large-scale Analysis of Children's Queries and Search Interactions; 5.1 Dataset; 5.2 Results; 5.3 Summary and Discussion Chapter 6 Differences in Usability and Perception of Targeted Web Search Engines between Children and Adults 6.1 Related Work; 6.2 User Study; 6.3 Study Results; 6.4 Summary and Discussion; Part III Tackling the Challenges ; Chapter 7 Search User Interface Design for Children ; 7.1 Conceptual Challenges and Possible Solutions; 7.2 Knowledge Journey Design; 7.3 Evaluation; 7.3.1 Study Design; 7.3.2 Study Results; 7.4 Voice-Controlled Search: Initial Study; 7.4.1 User Study; 7.5 Summary and Discussion; Chapter 8 Addressing User Diversity ; 8.1 Evolving Search User Interface 8.1.1 Mapping Function8.1.2 Evolving Skills; 8.1.3 Detection of User Abilities; 8.1.4 Design Concepts; 8.2 Adaptation of a Search User Interface towards User Needs; 8.2.1 Design & Implementation; 8.2.2 Search Input; 8.2.3 Result Output; 8.2.4 General Properties; 8.2.5 Configuration and Further Details; 8.3 Evaluation; 8.3.1 Study Design; 8.3.2 Study Results; 8.3.3 Preferred UI Settings; 8.3.4 User satisfaction; 8.4 Knowledge Journey Exhibit; 8.4.1 Hardware; 8.4.2 Frontend; 8.4.3 Backend; 8.5 Summary and Discussion; Chapter 9 Supporting Visual Searchers in Processing Search Results 9.1 Related Work
    Date
    1. 2.2016 18:25:22
  4. Kleineberg, M.: Context analysis and context indexing : formal pragmatics in knowledge organization (2014) 0.06 
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    Source
    http://www.google.de/url?sa=t&rct=j&q=&esrc=s&source=web&cd=5&ved=0CDQQFjAE&url=http%3A%2F%2Fdigbib.ubka.uni-karlsruhe.de%2Fvolltexte%2Fdocuments%2F3131107&ei=HzFWVYvGMsiNsgGTyoFI&usg=AFQjCNE2FHUeR9oQTQlNC4TPedv4Mo3DaQ&sig2=Rlzpr7a3BLZZkqZCXXN_IA&bvm=bv.93564037,d.bGg&cad=rja
  5. Bailey, C.W. Jr.: Scholarly electronic publishing bibliography (2003) 0.05 
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    Content
    Table of Contents 1 Economic Issues* 2 Electronic Books and Texts 2.1 Case Studies and History 2.2 General Works* 2.3 Library Issues* 3 Electronic Serials 3.1 Case Studies and History 3.2 Critiques 3.3 Electronic Distribution of Printed Journals 3.4 General Works* 3.5 Library Issues* 3.6 Research* 4 General Works* 5 Legal Issues 5.1 Intellectual Property Rights* 5.2 License Agreements 5.3 Other Legal Issues 6 Library Issues 6.1 Cataloging, Identifiers, Linking, and Metadata* 6.2 Digital Libraries* 6.3 General Works* 6.4 Information Integrity and Preservation* 7 New Publishing Models* 8 Publisher Issues 8.1 Digital Rights Management* 9 Repositories and E-Prints* Appendix A. Related Bibliographies by the Same Author Appendix B. About the Author
  6. Popper, K.R.: Three worlds : the Tanner lecture on human values. Deliverd at the University of Michigan, April 7, 1978 (1978) 0.05 
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    Source
    https%3A%2F%2Ftannerlectures.utah.edu%2F_documents%2Fa-to-z%2Fp%2Fpopper80.pdf&usg=AOvVaw3f4QRTEH-OEBmoYr2J_c7H
  7. Goldberg, J.E.: Development of a universal law classification : a retrospective on Library of Congress Class K (2003) 0.05 
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    Abstract
    Introduction 1. The Early Years of Library of Congress Collecting and Classifying (1801-1901) 1.1 Setting the Stage. The American Century 1.2 Expanding General Collections: The Window on Europe 1.3 A New Classification for the Library of Congress 2. Breaking Ground for Law: Classifications for the Discipline and its Literature 2.1 The Early Proposals for a Law Book Classification 2.2 Expanding Law Collections: The Second Window on Europe 2.3 The Law Classification Theater and the Players 2.4 Structure and Scope of the Anticipated Class K. Jurisdictionality 3. The Code vs. the Court report: Model Schemes for Civil and Common Law 3.1 The Washington Dialogues: Law for Law 3.2 In Search for Common Ground 3.2.1 The Committee Dialogues: Joint in Dissent 3.3 The Anglo-American Law: Model KF (Law of the United States) 3.4 The Law of the American Indians 4. The Civil law: Model KK (Law of Germany) 4.1 The Historic German Split and History of Law 4.2 KF and KK Comparatively 4.2.1 Private Law: Mixed Aspects 4.2.2 Constitutional and Administrative Law: Mixed Messages 4.3 KKA (Law of East Germany): Classification by Comparison 4.4 German States and Territories 5. The Regional Law: Model KJ (Law of Europe). Regionalism 5.1 The Resulting New Hierarchy 5.2 European Legal History: A Comparative Discipline 5.3 KJC Regional Comparative and Uniform Law 5.4 KJE Regional Organization and Integration 6. Regional Classification: KL-KWX ("The Rest of the World") Conclusion
  8. Goldberg, J.E.: Development of a universal law classification : a retrospective on Library of Congress Class K (2003) 0.05 
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    Abstract
    Introduction 1. The Early Years of Library of Congress Collecting and Classifying (1801-1901) 1.1 Setting the Stage. The American Century 1.2 Expanding General Collections: The Window on Europe 1.3 A New Classification for the Library of Congress 2. Breaking Ground for Law: Classifications for the Discipline and its Literature 2.1 The Early Proposals for a Law Book Classification 2.2 Expanding Law Collections: The Second Window on Europe 2.3 The Law Classification Theater and the Players 2.4 Structure and Scope of the Anticipated Class K. Jurisdictionality 3. The Code vs. the Court report: Model Schemes for Civil and Common Law 3.1 The Washington Dialogues: Law for Law 3.2 In Search for Common Ground 3.2.1 The Committee Dialogues: Joint in Dissent 3.3 The Anglo-American Law: Model KF (Law of the United States) 3.4 The Law of the American Indians 4. The Civil law: Model KK (Law of Germany) 4.1 The Historic German Split and History of Law 4.2 KF and KK Comparatively 4.2.1 Private Law: Mixed Aspects 4.2.2 Constitutional and Administrative Law: Mixed Messages 4.3 KKA (Law of East Germany): Classification by Comparison 4.4 German States and Territories 5. The Regional Law: Model KJ (Law of Europe). Regionalism 5.1 The Resulting New Hierarchy 5.2 European Legal History: A Comparative Discipline 5.3 KJC Regional Comparative and Uniform Law 5.4 KJE Regional Organization and Integration 6. Regional Classification: KL-KWX ("The Rest of the World") Conclusion
  9. Fensel, D.; Harmelen, F. van; Horrocks, I.: OIL and DAML+OIL : ontology languages for the Semantic Web (2004) 0.05 
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    Abstract
    This chapter discusses OIL and DAML1OIL, currently the most prominent ontology languages for the Semantic Web. The chapter starts by discussing the pyramid of languages that underlie the architecture of the Semantic Web (XML, RDF, RDFS). In section 2.2, we briefly describe XML, RDF and RDFS. We then discuss in more detail OIL and DAML1OIL, the first proposals for languages at the ontology layer of the semantic pyramid. For OIL (and to some extent DAML1OIL) we discuss the general design motivations (Section 2.3), describe the constructions in the language (Section 2.4), and the various syntactic forms of these languages (Section 2.5). Section 2.6 discusses the layered architecture of the language, section 2.7 briefly mentions the formal semantics, section 2.8 discusses the transition from OIL to DAML+OIL, and section 2.9 concludes with our experience with the language to date and future development in the context of the World Wide Web Consortium (W3C). This chapter is not intended to give full and formal definitions of either the syntax or the semantics of OIL or DAML1OIL. Such definitions are already available elsewhere: http://www.ontoknowledge.org/oil/ for OIL and http://www.w3.org/submission/2001/12/ for DAML1OIL.
  10. Liu, W.; Dog(an, R.I.; Kim, S.; Comeau, D.C.; Kim, W.; Yeganova, L.; Lu, Z.; Wilbur, W.J.: Author name disambiguation for PubMed (2014) 0.05 
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    Abstract
    Log analysis shows that PubMed users frequently use author names in queries for retrieving scientific literature. However, author name ambiguity may lead to irrelevant retrieval results. To improve the PubMed user experience with author name queries, we designed an author name disambiguation system consisting of similarity estimation and agglomerative clustering. A machine-learning method was employed to score the features for disambiguating a pair of papers with ambiguous names. These features enable the computation of pairwise similarity scores to estimate the probability of a pair of papers belonging to the same author, which drives an agglomerative clustering algorithm regulated by 2 factors: name compatibility and probability level. With transitivity violation correction, high precision author clustering is achieved by focusing on minimizing false-positive pairing. Disambiguation performance is evaluated with manual verification of random samples of pairs from clustering results. When compared with a state-of-the-art system, our evaluation shows that among all the pairs the lumping error rate drops from 10.1% to 2.2% for our system, while the splitting error rises from 1.8% to 7.7%. This results in an overall error rate of 9.9%, compared with 11.9% for the state-of-the-art method. Other evaluations based on gold standard data also show the increase in accuracy of our clustering. We attribute the performance improvement to the machine-learning method driven by a large-scale training set and the clustering algorithm regulated by a name compatibility scheme preferring precision. With integration of the author name disambiguation system into the PubMed search engine, the overall click-through-rate of PubMed users on author name query results improved from 34.9% to 36.9%.
  11. Liu, B.; Yuan, Q.; Cong, G.; Xu, D.: Where your photo is taken : geolocation prediction for social images (2014) 0.05 
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    Abstract
    Social image-sharing websites have attracted a large number of users. These systems allow users to associate geolocation information with their images, which is essential for many interesting applications. However, only a small fraction of social images have geolocation information. Thus, an automated tool for suggesting geolocation is essential to help users geotag their images. In this article, we use a large data set consisting of 221 million Flickr images uploaded by 2.2 million users. For the first time, we analyze user uploading patterns, user geotagging behaviors, and the relationship between the taken-time gap and the geographical distance between two images from the same user. Based on the findings, we represent a user profile by historical tags for the user and build a multinomial model on the user profile for geotagging. We further propose a unified framework to suggest geolocations for images, which combines the information from both image tags and the user profile. Experimental results show that for images uploaded by users who have never done geotagging, our method outperforms the state-of-the-art method by 10.6 to 34.2%, depending on the granularity of the prediction. For images from users who have done geotagging, a simple method is able to achieve very high accuracy.
  12. Hjoerland, B.: Subject (of documents) (2016) 0.05 
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    Content
    Contents: 1. Introduction; 2. Theoretical views: 2.1 Charles Ammi Cutter (1837-1903), 2.2 S. R. Ranganathan (1892-1972), 2.3 Patrick Wilson (1927-2003), 2.4 "Content oriented" versus "request oriented" views, 2.5 Issues of subjectivity and objectivity, 2.6 The subject knowledge view, 2.7 Other views and definitions; 3. Related concepts: 3.1 Words versus concepts versus subjects, 3.2 Aboutness, 3.3 Topic, 3.4 Isness, 3.5 Ofness, 3.6 Theme.
  13. Vetere, G.; Lenzerini, M.: Models for semantic interoperability in service-oriented architectures (2005) 0.04 
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    Vgl.: http://ieeexplore.ieee.org/xpl/login.jsp?tp=&arnumber=5386707&url=http%3A%2F%2Fieeexplore.ieee.org%2Fxpls%2Fabs_all.jsp%3Farnumber%3D5386707.
  14. Mas, S.; Marleau, Y.: Proposition of a faceted classification model to support corporate information organization and digital records management (2009) 0.04 
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    Footnote
    Vgl.: http://ieeexplore.ieee.org/Xplore/login.jsp?reload=true&url=http%3A%2F%2Fieeexplore.ieee.org%2Fiel5%2F4755313%2F4755314%2F04755480.pdf%3Farnumber%3D4755480&authDecision=-203.
  15. Li, L.; Shang, Y.; Zhang, W.: Improvement of HITS-based algorithms on Web documents 0.04 
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    Vgl.: http%3A%2F%2Fdelab.csd.auth.gr%2F~dimitris%2Fcourses%2Fir_spring06%2Fpage_rank_computing%2Fp527-li.pdf. Vgl. auch: http://www2002.org/CDROM/refereed/643/.
  16. Zeng, Q.; Yu, M.; Yu, W.; Xiong, J.; Shi, Y.; Jiang, M.: Faceted hierarchy : a new graph type to organize scientific concepts and a construction method (2019) 0.04 
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    Vgl.: https%3A%2F%2Faclanthology.org%2FD19-5317.pdf&usg=AOvVaw0ZZFyq5wWTtNTvNkrvjlGA.
  17. Noever, D.; Ciolino, M.: ¬The Turing deception (2022) 0.04 
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  18. Jascó, P.: Searching for images by similarity online (1998) 0.04 
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    Date
    29.11.2004 13:03:22
    Source
    Online. 22(1998) no.6, S.99-102
  19. Hawking, D.; Robertson, S.: On collection size and retrieval effectiveness (2003) 0.04 
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    Date
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  20. Ma, X.; Carranza, E.J.M.; Wu, C.; Meer, F.D. van der; Liu, G.: ¬A SKOS-based multilingual thesaurus of geological time scale for interoperability of online geological maps (2011) 0.04 
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    Content
    Article Outline 1. Introduction 2. SKOS-based multilingual thesaurus of geological time scale 2.1. Addressing the insufficiency of SKOS in the context of the Semantic Web 2.2. Addressing semantics and syntax/lexicon in multilingual GTS terms 2.3. Extending SKOS model to capture GTS structure 2.4. Summary of building the SKOS-based MLTGTS 3. Recognizing and translating GTS terms retrieved from WMS 4. Pilot system, results, and evaluation 5. Discussion 6. Conclusions Vgl. unter: http://www.sciencedirect.com/science?_ob=MiamiImageURL&_cid=271720&_user=3865853&_pii=S0098300411000744&_check=y&_origin=&_coverDate=31-Oct-2011&view=c&wchp=dGLbVlt-zSkzS&_valck=1&md5=e2c1daf53df72d034d22278212578f42&ie=/sdarticle.pdf.

Authors

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  • a 1937
  • m 154
  • s 97
  • el 72
  • b 32
  • r 10
  • x 8
  • i 3
  • n 3
  • p 2
  • h 1
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