Literatur zur Informationserschließung

Diese Datenbank enthält über 40.000 Dokumente zu Themen aus den Bereichen Formalerschließung – Inhaltserschließung – Information Retrieval.

© 2015 W. Gödert, TH Köln, Institut für Informationswissenschaft / Powered by litecat, BIS Oldenburg (Stand: 03. März 2020)

Suchergebnisse

• 1
  Crestani, F. ; Mizzaro, S. ; Scagnetto, I,: Mobile information retrieval.
  Cham : Springer, 2017. VI, 110 S.
  ISBN 978-3-319-60776-4
  (Springer briefs in computer science)
  
  Abstract: This book offers a helpful starting point in the scattered, rich, and complex body of literature on Mobile Information Retrieval (Mobile IR), reviewing more than 200 papers in nine chapters. Highlighting the most interesting and influential contributions that have appeared in recent years, it particularly focuses on both user interaction and techniques for the perception and use of context, which, taken together, shape much of today's research on Mobile IR. The book starts by addressing the differences between IR and Mobile IR, while also reviewing the foundations of Mobile IR research. It then examines the different kinds of documents, users, and information needs that can be found in Mobile IR, and which set it apart from standard IR. Next, it discusses the two important issues of user interfaces and context-awareness. In closing, it covers issues related to the evaluation of Mobile IR applications. Overall, the book offers a valuable tool, helping new and veteran researchers alike to navigate this exciting and highly dynamic area of research.
  
  Anmerkung: Rez. in: JASIST 69(2018) no.10, S.1283-1287 (Daqing He).
  
  
  LCSH: Computer science ; Information storage and retrieval ; User interfaces (Computer systems) ; Text processing (Computer science)
  RSWK: Mobiles Endgerät ; Mobile Computing ; Information Retrieval
  DDC: 025.04 / dc23
  LCC: QA75.5-76.95
  RVK: ST 270
  
• 2
  Cardoso, J. et al. (Hrsg.): Semantic keyword-based search on structured data sources : First COST Action IC1302 International KEYSTONE Conference, IKC 2015, Coimbra, Portugal, September 8-9, 2015. Revised Selected Papers.
  Basel : Springer International Publishing, 2016. XII, 209 S.
  ISBN 978-3-319-27931-2
  (Lecture notes in computer science ; 9398)
  
  Abstract: This book constitutes the thoroughly refereed post-conference proceedings of the First COST Action IC1302 International KEYSTONE Conference on semantic Keyword-based Search on Structured Data Sources, IKC 2015, held in Coimbra, Portugal, in September 2015. The 13 revised full papers, 3 revised short papers, and 2 invited papers were carefully reviewed and selected from 22 initial submissions. The paper topics cover techniques for keyword search, semantic data management, social Web and social media, information retrieval, benchmarking for search on big data.
  
  Inhalt: Inhalt: Professional Collaborative Information Seeking: On Traceability and Creative Sensemaking / Nürnberger, Andreas (et al.) - Recommending Web Pages Using Item-Based Collaborative Filtering Approaches / Cadegnani, Sara (et al.) - Processing Keyword Queries Under Access Limitations / Calì, Andrea (et al.) - Balanced Large Scale Knowledge Matching Using LSH Forest / Cochez, Michael (et al.) - Improving css-KNN Classification Performance by Shifts in Training Data / Draszawka, Karol (et al.) - Classification Using Various Machine Learning Methods and Combinations of Key-Phrases and Visual Features / HaCohen-Kerner, Yaakov (et al.) - Mining Workflow Repositories for Improving Fragments Reuse / Harmassi, Mariem (et al.) - AgileDBLP: A Search-Based Mobile Application for Structured Digital Libraries / Ifrim, Claudia (et al.) - Support of Part-Whole Relations in Query Answering / Kozikowski, Piotr (et al.) - Key-Phrases as Means to Estimate Birth and Death Years of Jewish Text Authors / Mughaz, Dror (et al.) - Visualization of Uncertainty in Tag Clouds / Platis, Nikos (et al.) - Multimodal Image Retrieval Based on Keywords and Low-Level Image Features / Pobar, Miran (et al.) - Toward Optimized Multimodal Concept Indexing / Rekabsaz, Navid (et al.) - Semantic URL Analytics to Support Efficient Annotation of Large Scale Web Archives / Souza, Tarcisio (et al.) - Indexing of Textual Databases Based on Lexical Resources: A Case Study for Serbian / Stankovic, Ranka (et al.) - Domain-Specific Modeling: Towards a Food and Drink Gazetteer / Tagarev, Andrey (et al.) - Analysing Entity Context in Multilingual Wikipedia to Support Entity-Centric Retrieval Applications / Zhou, Yiwei (et al.)
  
  
  LCSH: Computer science ; Database management ; Information storage and retrieva ; Multimedia information systems ; User interfaces (Computer systems) ; Text processing (Computer science)
  RVK: SS 4800
  
• 3
  Garoufallou, E. et al. (Hrsg.): Metadata and semantics research : 9th Research Conference, MTSR 2015, Manchester, UK, September 9-11, 2015, Proceedings.
  Cham : Springer, 2015. XIX, 462 S.
  ISBN 978-3-319-24128-9
  (Communications in computer and information science; 544)
  
  Abstract: This book constitutes the refereed proceedings of the 9th Metadata and Semantics Research Conference, MTSR 2015, held in Manchester, UK, in September 2015. The 35 full papers and 3 short papers presented together with 2 poster papers were carefully reviewed and selected from 76 submissions.
  
  Inhalt: The papers are organized in several sessions and tracks: general track on ontology evolution, engineering, and frameworks, semantic Web and metadata extraction, modelling, interoperability and exploratory search, data analysis, reuse and visualization; track on digital libraries, information retrieval, linked and social data; track on metadata and semantics for open repositories, research information systems and data infrastructure; track on metadata and semantics for agriculture, food and environment; track on metadata and semantics for cultural collections and applications; track on European and national projects.
  
  Themenfeld: Semantic Web ; Metadaten ; Semantische Interoperabilität
  
  LCSH: Computer science ; Database management ; Information storage and retrieval systems ; Artificial intelligence ; Text processing (Computer science)
  DDC: 025.04
  LCC: QA75.5-76.95
  
• 4
  Closs, S. et al. (Hrsg.): Metadata and semantics research : 8th Research Conference, MTSR 2014, Karlsruhe, Germany, November 27-29, 2014, Proceedings.
  Cham : Springer, 2014. XX, 384 S.
  ISBN 978-331-91367-3-8
  (Communications in computer and information science; 478)
  
  Abstract: This book constitutes the refereed proceedings of the 8th Metadata and Semantics Research Conference, MTSR 2014, held in Karlsruhe, Germany, in November 2014. The 23 full papers and 9 short papers presented were carefully reviewed and selected from 57 submissions. The papers are organized in several sessions and tracks. They cover the following topics: metadata and linked data: tools and models; (meta) data quality assessment and curation; semantic interoperability, ontology-based data access and representation; big data and digital libraries in health, science and technology; metadata and semantics for open repositories, research information systems and data infrastructure; metadata and semantics for cultural collections and applications; semantics for agriculture, food and environment.
  
  Inhalt: Metadata and linked data.- Tools and models.- (Meta)data quality assessment and curation.- Semantic interoperability, ontology-based data access and representation.- Big data and digital libraries in health, science and technology.- Metadata and semantics for open repositories, research information systems and data infrastructure.- Metadata and semantics for cultural collections and applications.- Semantics for agriculture, food and environment.
  
  Themenfeld: Semantic Web ; Metadaten ; Semantische Interoperabilität
  
  LCSH: Computer science ; Database management ; Information storage and retrieval systems ; Artificial intelligence ; Text processing (Computer science)
  DDC: 025.04
  LCC: QA75.5-76.95
  
• 5
  Manning, C.D. ; Raghavan, P. ; Schütze, H.: Introduction to information retrieval.
  Cambridge : Cambridge University Press, 2008. XXI, 482 S.
  ISBN 978-0-521-86571-5
  
  Abstract: Class-tested and coherent, this textbook teaches information retrieval, including web search, text classification, and text clustering from basic concepts. Ideas are explained using examples and figures, making it perfect for introductory courses in information retrieval for advanced undergraduates and graduate students. Slides and additional exercises are available for lecturers. - This book provides what Salton and Van Rijsbergen both failed to achieve. Even more important, unlike some other books in IR, the authors appear to care about making the theory as accessible as possible to the reader, on occasion including short primers to certain topics or choosing to explain difficult concepts using simplified approaches. Its coverage [is] excellent, the quality of writing high and I was surprised how much I learned from reading it. I think the online resources are impressive.
  
  Inhalt: Inhalt: Boolean retrieval - The term vocabulary & postings lists - Dictionaries and tolerant retrieval - Index construction - Index compression - Scoring, term weighting & the vector space model - Computing scores in a complete search system - Evaluation in information retrieval - Relevance feedback & query expansion - XML retrieval - Probabilistic information retrieval - Language models for information retrieval - Text classification & Naive Bayes - Vector space classification - Support vector machines & machine learning on documents - Flat clustering - Hierarchical clustering - Matrix decompositions & latent semantic indexing - Web search basics - Web crawling and indexes - Link analysis Vgl. die digitale Fassung unter: http://nlp.stanford.edu/IR-book/pdf/irbookprint.pdf.
  
  
  LCSH: Text processing (Computer science) ; Information retrieval ; Document clustering ; Semantic Web
  RSWK: Dokumentverarbeitung / Information Retrieval / Abfrageverarbeitung (GBV) ; Information Retrieval / Einführung (BVB) ; Semantic Web (BVB) ; Textverarbeitung (BVB) ; World Wide Web / Suchmaschine (HBZ)
  BK: 54.64 / Datenbanken
  DDC: 025.04
  GHBS: AZE (PB) ; TWP (PB)
  LCC: QA76.9.T48
  RVK: ST 306 ; ST 205 ; ST 270 ; ST 515
  
• 6
  Pang, B. ; Lee, L.: Opinion mining and sentiment analysis.
  Boston, MA : Now Publ., 2008. IX, 137 S.
  ISBN 978-1-60198-150-9
  (Foundations and trends(r) in information retrieval; 2,1/2)
  
  Abstract: An important part of our information-gathering behavior has always been to find out what other people think. With the growing availability and popularity of opinion-rich resources such as online review sites and personal blogs, new opportunities and challenges arise as people can, and do, actively use information technologies to seek out and understand the opinions of others. The sudden eruption of activity in the area of opinion mining and sentiment analysis, which deals with the computational treatment of opinion, sentiment, and subjectivity in text, has thus occurred at least in part as a direct response to the surge of interest in new systems that deal directly with opinions as a first-class object. Opinion Mining and Sentiment Analysis covers techniques and approaches that promise to directly enable opinion-oriented information-seeking systems. The focus is on methods that seek to address the new challenges raised by sentiment-aware applications, as compared to those that are already present in more traditional fact-based analysis. The survey includes an enumeration of the various applications, a look at general challenges and discusses categorization, extraction and summarization. Finally, it moves beyond just the technical issues, devoting significant attention to the broader implications that the development of opinion-oriented information-access services have: questions of privacy, vulnerability to manipulation, and whether or not reviews can have measurable economic impact. To facilitate future work, a discussion of available resources, benchmark datasets, and evaluation campaigns is also provided. Opinion Mining and Sentiment Analysis is the first such comprehensive survey of this vibrant and important research area and will be of interest to anyone with an interest in opinion-oriented information-seeking systems.
  
  Inhalt: Table of contents 1. Introduction 2. Applications 3. General Challenges 4. Classification and Extraction 5. Summarization 6. Broader Implications 7. Publicly Available Resources 8. Concluding Remarks References
  
  
  LCSH: Information behavior ; Research ; Information retrieval ; Public opinion ; Text processing (Computer science)
  RSWK: World Wide Web / Meinungsäußerung / Data Mining ; Data Mining / Psycholinguistik (BVB)
  BK: 54.72 (Künstliche Intelligenz)
  LCC: Z3075
  RVK: ST 530
  
• 7
  Voorhees, E.M. u. D.K. Harman (Hrsg.): TREC: experiment and evaluation in information retrieval.
  Cambridge, MA : MIT Press, 2005. X, 462 S.
  ISBN 0-262-22073-3
  (Digital libraries and electronic publishing)
  
  Abstract: The Text REtrieval Conference (TREC), a yearly workshop hosted by the US government's National Institute of Standards and Technology, provides the infrastructure necessary for large-scale evaluation of text retrieval methodologies. With the goal of accelerating research in this area, TREC created the first large test collections of full-text documents and standardized retrieval evaluation. The impact has been significant; since TREC's beginning in 1992, retrieval effectiveness has approximately doubled. TREC has built a variety of large test collections, including collections for such specialized retrieval tasks as cross-language retrieval and retrieval of speech. Moreover, TREC has accelerated the transfer of research ideas into commercial systems, as demonstrated in the number of retrieval techniques developed in TREC that are now used in Web search engines. This book provides a comprehensive review of TREC research, summarizing the variety of TREC results, documenting the best practices in experimental information retrieval, and suggesting areas for further research. The first part of the book describes TREC's history, test collections, and retrieval methodology. Next, the book provides "track" reports -- describing the evaluations of specific tasks, including routing and filtering, interactive retrieval, and retrieving noisy text. The final part of the book offers perspectives on TREC from such participants as Microsoft Research, University of Massachusetts, Cornell University, University of Waterloo, City University of New York, and IBM. The book will be of interest to researchers in information retrieval and related technologies, including natural language processing.
  
  Inhalt: Enthält die Beiträge: 1. The Text REtrieval Conference - Ellen M. Voorhees and Donna K. Harman 2. The TREC Test Collections - Donna K. Harman 3. Retrieval System Evaluation - Chris Buckley and Ellen M. Voorhees 4. The TREC Ad Hoc Experiments - Donna K. Harman 5. Routing and Filtering - Stephen Robertson and Jamie Callan 6. The TREC Interactive Tracks: Putting the User into Search - Susan T. Dumais and Nicholas J. Belkin 7. Beyond English - Donna K. Harman 8. Retrieving Noisy Text - Ellen M. Voorhees and John S. Garofolo 9.The Very Large Collection and Web Tracks - David Hawking and Nick Craswell 10. Question Answering in TREC - Ellen M. Voorhees 11. The University of Massachusetts and a Dozen TRECs - James Allan, W. Bruce Croft and Jamie Callan 12. How Okapi Came to TREC - Stephen Robertson 13. The SMART Project at TREC - Chris Buckley 14. Ten Years of Ad Hoc Retrieval at TREC Using PIRCS - Kui-Lam Kwok 15. MultiText Experiments for TREC - Gordon V. Cormack, Charles L. A. Clarke, Christopher R. Palmer and Thomas R. Lynam 16. A Language-Modeling Approach to TREC - Djoerd Hiemstra and Wessel Kraaij 17. BM Research Activities at TREC - Eric W. Brown, David Carmel, Martin Franz, Abraham Ittycheriah, Tapas Kanungo, Yoelle Maarek, J. Scott McCarley, Robert L. Mack, John M. Prager, John R. Smith, Aya Soffer, Jason Y. Zien and Alan D. Marwick Epilogue: Metareflections on TREC - Karen Sparck Jones
  
  Anmerkung: Rez. in: JASIST 58(2007) no.6, S.910-911 (J.L. Vicedo u. J. Gomez): "The Text REtrieval Conference (TREC) is a yearly workshop hosted by the U.S. government's National Institute of Standards and Technology (NIST) that fosters and supports research in information retrieval as well as speeding the transfer of technology between research labs and industry. Since 1992, TREC has provided the infrastructure necessary for large-scale evaluations of different text retrieval methodologies. TREC impact has been very important and its success has been mainly supported by its continuous adaptation to the emerging information retrieval needs. Not in vain, TREC has built evaluation benchmarks for more than 20 different retrieval problems such as Web retrieval, speech retrieval, or question-answering. The large and intense trajectory of annual TREC conferences has resulted in an immense bulk of documents reflecting the different eval uation and research efforts developed. This situation makes it difficult sometimes to observe clearly how research in information retrieval (IR) has evolved over the course of TREC. TREC: Experiment and Evaluation in Information Retrieval succeeds in organizing and condensing all this research into a manageable volume that describes TREC history and summarizes the main lessons learned. The book is organized into three parts. The first part is devoted to the description of TREC's origin and history, the test collections, and the evaluation methodology developed. The second part describes a selection of the major evaluation exercises (tracks), and the third part contains contributions from research groups that had a large and remarkable participation in TREC. Finally, Karen Spark Jones, one of the main promoters of research in IR, closes the book with an epilogue that analyzes the impact of TREC on this research field. ; ... TREC: Experiment and Evaluation in Information Retrieval is a reliable and comprehensive review of the TREC program and has been adopted by NIST as the official history of TREC (see http://trec.nist.gov). We were favorably surprised by the book. Well structured and written, chapters are self-contained and the existence of references to specialized and more detailed publications is continuous, which makes it easier to expand into the different aspects analyzed in the text. This book succeeds in compiling TREC evolution from its inception in 1992 to 2003 in an adequate and manageable volume. Thanks to the impressive effort performed by the authors and their experience in the field, it can satiate the interests of a great variety of readers. While expert researchers in the IR field and IR-related industrial companies can use it as a reference manual, it seems especially useful for students and non-expert readers willing to approach this research area. Like NIST, we would recommend this reading to anyone who may be interested in textual information retrieval."
  
  Themenfeld: Retrievalstudien
  Objekt: TREC
  
  LCSH: Text processing (Computer science) / Congresses ; Information storage and retrieval systems / Congresses ; Text REtrieval Conference
  RSWK: Information Retrieval / Textverarbeitung / Aufsatzsammlung (BVB) ; Kongress / Information Retrieval / Kongress (GBV)
  BK: 06.74 / Informationssysteme ; 54.75 / Sprachverarbeitung
  DDC: 025.04 / dc22 ; 005.74 (SWB)
  LCC: QA76.9.T48T74 2005
  RVK: ST 270
  
• 8
  Berry, M.W. ; Browne, M.: Understanding search engines : mathematical modeling and text retrieval.2nd ed.
  Philadelphia, PA : SIAM, 2005. XVII, 117 S.
  ISBN 0-89871-581-4
  (Software, environments, tools; 17)
  
  Abstract: The second edition of Understanding Search Engines: Mathematical Modeling and Text Retrieval follows the basic premise of the first edition by discussing many of the key design issues for building search engines and emphasizing the important role that applied mathematics can play in improving information retrieval. The authors discuss important data structures, algorithms, and software as well as user-centered issues such as interfaces, manual indexing, and document preparation. Significant changes bring the text up to date on current information retrieval methods: for example the addition of a new chapter on link-structure algorithms used in search engines such as Google. The chapter on user interface has been rewritten to specifically focus on search engine usability. In addition the authors have added new recommendations for further reading and expanded the bibliography, and have updated and streamlined the index to make it more reader friendly.
  
  Inhalt: Inhalt: Introduction Document File Preparation - Manual Indexing - Information Extraction - Vector Space Modeling - Matrix Decompositions - Query Representations - Ranking and Relevance Feedback - Searching by Link Structure - User Interface - Book Format Document File Preparation Document Purification and Analysis - Text Formatting - Validation - Manual Indexing - Automatic Indexing - Item Normalization - Inverted File Structures - Document File - Dictionary List - Inversion List - Other File Structures Vector Space Models Construction - Term-by-Document Matrices - Simple Query Matching - Design Issues - Term Weighting - Sparse Matrix Storage - Low-Rank Approximations Matrix Decompositions QR Factorization - Singular Value Decomposition - Low-Rank Approximations - Query Matching - Software - Semidiscrete Decomposition - Updating Techniques Query Management Query Binding - Types of Queries - Boolean Queries - Natural Language Queries - Thesaurus Queries - Fuzzy Queries - Term Searches - Probabilistic Queries Ranking and Relevance Feedback Performance Evaluation - Precision - Recall - Average Precision - Genetic Algorithms - Relevance Feedback Searching by Link Structure HITS Method - HITS Implementation - HITS Summary - PageRank Method - PageRank Adjustments - PageRank Implementation - PageRank Summary User Interface Considerations General Guidelines - Search Engine Interfaces - Form Fill-in - Display Considerations - Progress Indication - No Penalties for Error - Results - Test and Retest - Final Considerations Further Reading
  
  Themenfeld: Suchmaschinen ; Retrievalalgorithmen
  Objekt: HITS-Algorithmus ; PageRank
  
  LCSH: Web search engines ; Vector spaces ; Text processing (Computer science)
  RSWK: Suchmaschine / Information Retrieval ; Suchmaschine / Information Retrieval / Mathematisches Modell (HEBIS)
  BK: 06.44 / IuD-Einrichtungen ; 06.74 / Informationssysteme ; 31.80 / Angewandte Mathematik
  DDC: 025.04
  LCC: TK5105.884.B47 2005
  
• 9
  Berry, M.W. ; Browne, M.: Understanding search engines : mathematical modeling and text retrieval.
  Philadelphia, PA : SIAM, 1999. XIII, 116 S.
  ISBN 0-89871-437-0
  (Software, environments, tools; 8)
  
  Abstract: This book discusses many of the key design issues for building search engines and emphazises the important role that applied mathematics can play in improving information retrieval. The authors discuss not only important data structures, algorithms, and software but also user-centered issues such as interfaces, manual indexing, and document preparation. They also present some of the current problems in information retrieval that many not be familiar to applied mathematicians and computer scientists and some of the driving computational methods (SVD, SDD) for automated conceptual indexing
  
  Themenfeld: Suchmaschinen ; Retrievalalgorithmen
  
  LCSH: Web search engines ; Vector spaces ; Text processing (Computer science)
  RSWK: Suchmaschine / Information Retrieval ; World Wide Web / Suchmaschine / Mathematisches Modell (BVB) ; Suchmaschine / Information Retrieval / Mathematisches Modell (HEBIS)
  BK: 06.74 / Informationssysteme
  DDC: 025.04
  LCC: TK5105.884.B47 1999
  RVK: ST 230 [Informatik # Monographien # Software und -entwicklung # Software allgemein, (Einführung, Lehrbücher, Methoden der Programmierung) Software engineering, Programmentwicklungssysteme, Softwarewerkzeuge]
  
• 10
  Kimberley, R.; Rowley, J.E. (Hrsg.): Text retrieval : A directory of software.3rd ed.
  Aldershot : Gower, 1990. 536 S.
  
  Anmerkung: Rez. in: Nachrichten für Dokumentation 42(1991) S.75-76 (W. Umstätter)
  
  Themenfeld: Bibliographische Software
  
  LCSH: Text processing (Computer science)
  Precis: Text processing systems
  DDC: 005
  LCC: QA76.9.T48