Search (328 results, page 1 of 17)

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Series

Studies in classification, data analysis, and knowledge organization

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Footnote

A special issue of selected papers from the Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD'97), held Singapore, 22-23 Feb 1997

Theme

Data Mining

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Date

22.10.2006 18:22:51

LCSH

Electronic data interchange / Congresses

Subject

Electronic data interchange / Congresses

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Date

22. 9.1997 19:16:05

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Abstract

Searches conducted as part of the MEDLINE/Full-Text Research Project revealed that the full-text data bases of clinical medical journal articles (CCML (Comprehensive Core Medical Library) from BRS Information Technologies, and MEDIS from Mead Data Central) did not retrieve all the relevant citations. An analysis of the data indicated that 204 relevant citations were retrieved only by MEDLINE. A comparison of the strategies used on the full-text data bases with the text of the articles of these 204 citations revealed that 2 reasons contributed to these failure. The searcher often constructed a restrictive strategy which resulted in the loss of relevant documents; and as in other kinds of retrieval, the problems of natural language caused the loss of relevant documents.

Date

9. 1.1996 10:22:31

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Abstract

This book constitutes the refereed proceedings of the 10th Metadata and Semantics Research Conference, MTSR 2016, held in Göttingen, Germany, in November 2016. The 26 full papers and 6 short papers presented were carefully reviewed and selected from 67 submissions. The papers are organized in several sessions and tracks: Digital Libraries, Information Retrieval, Linked and Social Data, Metadata and Semantics for Open Repositories, Research Information Systems and Data Infrastructures, Metadata and Semantics for Agriculture, Food and Environment, Metadata and Semantics for Cultural Collections and Applications, European and National Projects.

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Abstract

Metadata and semantics are integral to any information system and significant to the sphere of Web data. Research focusing on metadata and semantics is crucial for advancing our understanding and knowledge of metadata; and, more profoundly for being able to effectively discover, use, archive, and repurpose information. In response to this need, researchers are actively examining methods for generating, reusing, and interchanging metadata. Integrated with these developments is research on the application of computational methods, linked data, and data analytics. A growing body of work also targets conceptual and theoretical designs providing foundational frameworks for metadata and semantic applications. There is no doubt that metadata weaves its way into nearly every aspect of our information ecosystem, and there is great motivation for advancing the current state of metadata and semantics. To this end, it is vital that scholars and practitioners convene and share their work.
The MTSR 2013 program and the contents of these proceedings show a rich diversity of research and practices, drawing on problems from metadata and semantically focused tools and technologies, linked data, cross-language semantics, ontologies, metadata models, and semantic system and metadata standards. The general session of the conference included 18 papers covering a broad spectrum of topics, proving the interdisciplinary field of metadata, and was divided into three main themes: platforms for research data sets, system architecture and data management; metadata and ontology validation, evaluation, mapping and interoperability; and content management. Metadata as a research topic is maturing, and the conference also supported the following five tracks: Metadata and Semantics for Open Repositories, Research Information Systems and Data Infrastructures; Metadata and Semantics for Cultural Collections and Applications; Metadata and Semantics for Agriculture, Food and Environment; Big Data and Digital Libraries in Health, Science and Technology; and European and National Projects, and Project Networking. Each track had a rich selection of papers, giving broader diversity to MTSR, and enabling deeper exploration of significant topics.
All the papers underwent a thorough and rigorous peer-review process. The review and selection this year was highly competitive and only papers containing significant research results, innovative methods, or novel and best practices were accepted for publication. Only 29 of 89 submissions were accepted as full papers, representing 32.5% of the total number of submissions. Additional contributions covering noteworthy and important results in special tracks or project reports were accepted, totaling 42 accepted contributions. This year's conference included two outstanding keynote speakers. Dr. Stefan Gradmann, a professor arts department of KU Leuven (Belgium) and director of university library, addressed semantic research drawing from his work with Europeana. The title of his presentation was, "Towards a Semantic Research Library: Digital Humanities Research, Europeana and the Linked Data Paradigm". Dr. Michail Salampasis, associate professor from our conference host institution, the Department of Informatics of the Alexander TEI of Thessaloniki, presented new potential, intersecting search and linked data. The title of his talk was, "Rethinking the Search Experience: What Could Professional Search Systems Do Better?"

Date

17.12.2013 12:51:22

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Date

23. 3.2008 19:10:22

Footnote

Rez. in: JASIST 54(2003) no.9, S.905-906 (C.A. Badurek): "Visual approaches for knowledge discovery in very large databases are a prime research need for information scientists focused an extracting meaningful information from the ever growing stores of data from a variety of domains, including business, the geosciences, and satellite and medical imagery. This work presents a summary of research efforts in the fields of data mining, knowledge discovery, and data visualization with the goal of aiding the integration of research approaches and techniques from these major fields. The editors, leading computer scientists from academia and industry, present a collection of 32 papers from contributors who are incorporating visualization and data mining techniques through academic research as well application development in industry and government agencies. Information Visualization focuses upon techniques to enhance the natural abilities of humans to visually understand data, in particular, large-scale data sets. It is primarily concerned with developing interactive graphical representations to enable users to more intuitively make sense of multidimensional data as part of the data exploration process. It includes research from computer science, psychology, human-computer interaction, statistics, and information science. Knowledge Discovery in Databases (KDD) most often refers to the process of mining databases for previously unknown patterns and trends in data. Data mining refers to the particular computational methods or algorithms used in this process. The data mining research field is most related to computational advances in database theory, artificial intelligence and machine learning. This work compiles research summaries from these main research areas in order to provide "a reference work containing the collection of thoughts and ideas of noted researchers from the fields of data mining and data visualization" (p. 8). It addresses these areas in three main sections: the first an data visualization, the second an KDD and model visualization, and the last an using visualization in the knowledge discovery process. The seven chapters of Part One focus upon methodologies and successful techniques from the field of Data Visualization. Hoffman and Grinstein (Chapter 2) give a particularly good overview of the field of data visualization and its potential application to data mining. An introduction to the terminology of data visualization, relation to perceptual and cognitive science, and discussion of the major visualization display techniques are presented. Discussion and illustration explain the usefulness and proper context of such data visualization techniques as scatter plots, 2D and 3D isosurfaces, glyphs, parallel coordinates, and radial coordinate visualizations. Remaining chapters present the need for standardization of visualization methods, discussion of user requirements in the development of tools, and examples of using information visualization in addressing research problems.
In 13 chapters, Part Two provides an introduction to KDD, an overview of data mining techniques, and examples of the usefulness of data model visualizations. The importance of visualization throughout the KDD process is stressed in many of the chapters. In particular, the need for measures of visualization effectiveness, benchmarking for identifying best practices, and the use of standardized sample data sets is convincingly presented. Many of the important data mining approaches are discussed in this complementary context. Cluster and outlier detection, classification techniques, and rule discovery algorithms are presented as the basic techniques common to the KDD process. The potential effectiveness of using visualization in the data modeling process are illustrated in chapters focused an using visualization for helping users understand the KDD process, ask questions and form hypotheses about their data, and evaluate the accuracy and veracity of their results. The 11 chapters of Part Three provide an overview of the KDD process and successful approaches to integrating KDD, data mining, and visualization in complementary domains. Rhodes (Chapter 21) begins this section with an excellent overview of the relation between the KDD process and data mining techniques. He states that the "primary goals of data mining are to describe the existing data and to predict the behavior or characteristics of future data of the same type" (p. 281). These goals are met by data mining tasks such as classification, regression, clustering, summarization, dependency modeling, and change or deviation detection. Subsequent chapters demonstrate how visualization can aid users in the interactive process of knowledge discovery by graphically representing the results from these iterative tasks. Finally, examples of the usefulness of integrating visualization and data mining tools in the domain of business, imagery and text mining, and massive data sets are provided. This text concludes with a thorough and useful 17-page index and lengthy yet integrating 17-page summary of the academic and industrial backgrounds of the contributing authors. A 16-page set of color inserts provide a better representation of the visualizations discussed, and a URL provided suggests that readers may view all the book's figures in color on-line, although as of this submission date it only provides access to a summary of the book and its contents. The overall contribution of this work is its focus an bridging two distinct areas of research, making it a valuable addition to the Morgan Kaufmann Series in Database Management Systems. The editors of this text have met their main goal of providing the first textbook integrating knowledge discovery, data mining, and visualization. Although it contributes greatly to our under- standing of the development and current state of the field, a major weakness of this text is that there is no concluding chapter to discuss the contributions of the sum of these contributed papers or give direction to possible future areas of research. "Integration of expertise between two different disciplines is a difficult process of communication and reeducation. Integrating data mining and visualization is particularly complex because each of these fields in itself must draw an a wide range of research experience" (p. 300). Although this work contributes to the crossdisciplinary communication needed to advance visualization in KDD, a more formal call for an interdisciplinary research agenda in a concluding chapter would have provided a more satisfying conclusion to a very good introductory text.
With contributors almost exclusively from the computer science field, the intended audience of this work is heavily slanted towards a computer science perspective. However, it is highly readable and provides introductory material that would be useful to information scientists from a variety of domains. Yet, much interesting work in information visualization from other fields could have been included giving the work more of an interdisciplinary perspective to complement their goals of integrating work in this area. Unfortunately, many of the application chapters are these, shallow, and lack complementary illustrations of visualization techniques or user interfaces used. However, they do provide insight into the many applications being developed in this rapidly expanding field. The authors have successfully put together a highly useful reference text for the data mining and information visualization communities. Those interested in a good introduction and overview of complementary research areas in these fields will be satisfied with this collection of papers. The focus upon integrating data visualization with data mining complements texts in each of these fields, such as Advances in Knowledge Discovery and Data Mining (Fayyad et al., MIT Press) and Readings in Information Visualization: Using Vision to Think (Card et. al., Morgan Kauffman). This unique work is a good starting point for future interaction between researchers in the fields of data visualization and data mining and makes a good accompaniment for a course focused an integrating these areas or to the main reference texts in these fields."

LCSH

Data mining

RSWK

Visualisierung / Computergraphik / Data Mining
Data Mining / Visualisierung / Aufsatzsammlung (BVB)

Series

Morgan Kaufmann series in data management systems

Subject

Visualisierung / Computergraphik / Data Mining
Data Mining / Visualisierung / Aufsatzsammlung (BVB)
Data mining

Theme

Data Mining

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Date

14. 4.2007 10:04:22

LCSH

Semantics / Data processing ; Lexicography / Data processing ; Computational linguistics

Subject

Semantics / Data processing ; Lexicography / Data processing ; Computational linguistics

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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.

Content

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.)

Date

1. 2.2016 18:25:22

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Abstract

Das Handbuch der Künstlichen Intelligenz bietet die umfassendste deutschsprachige Übersicht über die Disziplin "Künstliche Intelligenz". Es vereinigt einführende und weiterführende Beiträge u.a. zu folgenden Themen: - Kognition - Neuronale Netze - Suche, Constraints - Wissensrepräsentation - Logik und automatisches Beweisen - Unsicheres und vages Wissen - Wissen über Raum und Zeit - Fallbasiertes Schließen und modellbasierte Systeme - Planen - Maschinelles Lernen und Data Mining - Sprachverarbeitung - Bildverstehen - Robotik - Software-Agenten Das Handbuch bietet eine moderne Einführung in die Künstliche Intelligenz und zugleich einen aktuellen Überblick über Theorien, Methoden und Anwendungen.

Date

21. 3.2008 19:10:22

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Content

Enthält die Beiträge: COCHRANE, P.A. u. E.H. JOHNSON: Introduction; HJERPPE, R.: Hypostatizing data collections, especially bibliographic: abstractions, representations, sensualizations, adaptations/personalizations, ...; DOSZKOCS, T.E.: Simultaneous searching of distributed information and subject repositories on the World Wide Web; FIDEL, R. u. M. CRANDALL: The role of subject access in information filtering; MILSTEAD, J.L.: Thesauri in a full-text world; DUBIN, D.: Dimensions and discriminability: the role of controlled vocabulary in visualizing document associations; BELKIN, N.J.: An overview of results from Rutgers' investigations of interactive information retrieval; ALLEN, B.L.: Visualization and cognitive abilities; JOHNSON, E.H.: Using IODyne: Illustrations and examples; VIZINE-GOETZ, D.: OCLC investigates using classification tools to organize Internet data; ZICH, B.: Visualizing digital libraries; SCHATZ, B.R.: Information analysis in the net: the interspace of the twenty-first century; LIDDY, E.D.: Natural language processing for information retrieval and knowledge discovery; BUSCH, J.A.: Building and accessing vocabulary resources for networked resource discovery and navigation; HIGGINS, S.W.: Using electronic services to become an interworked business: Blackwell's electronic journal navigator - one agent's experience; McKIERNAN, G.: The Big Picture(sm): visual browsing in the Web and non-Web databases; GRIFFITH, J.: Conference wrap-up

Date

22. 9.1997 19:16:05

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Source

Serials librarian. 22(1992), nos.3/4

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Issue

Vol.22.

Signature

78 BAHH 1089-22

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Content

WEINBERG, B.H.: A theory of relativity for catalogers; ANDERSON, N.: The non-neutrality of descriptive cataloging; BERMAN, S.: Cataloging tools and 'copy': the myth of acceptability - a public librarian's viewpoint; SINN, S.: The development of classification and subject heading systems for medicine; WHITEHEAD, C.: The art & architecture thesaurus as an alternatice to LCSH; PARR, M.: Standard cataloging data and the academic library: the technical services manager's point of view; BISHOFF, L. u. G. PATTON: Master bibliographic record vs. local bibliographic record - who needs what?: an OCLC perspective; GLAZIER, E.: The display and indexing of customized catalog records in RLIN; BYRUM, J.: Standard cataloging data: the view from the Library of Congress; INTNER, S.: Rejecting standard cataloging copy: implications for the education of catalogers; ELLIOTT, P. u. C. BAKKE: Special collections and cataloging standards: issues and compromises at the Steinbeck Research Center and the Center for Beethoven Studies; Whitlow, C.: Music sound recordings: subject retrieval, analysis and access in Online Public Access Catalogs; OLSON, H.: Subject access to women's studies materials; KIM, S.-H.: Volume/date designation and serials holdings; ARMINTOR, B.: 'Marrying' college catalog data with the library's online catalog: enhancing access to nonprint materials at Pikes Peak Community College; LAI, P.C. u. M.-K. WONG: Problems in the cataloging of digital cartographic databases; THOMAS, A.R.: Options in the arrangement of library materials and the new edition of the Bliss Bibliographic Classification

Footnote

Rez. in: Knowledge organization 20(1993) no.2, S.100-105 (J.M. Perreault); International cataloguing and bibliographic control 22(1993) no.2, S.35 (M. Norman)

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Abstract

Behandelt werden u.a. die Themen: Ziele und Methoden des Data Mining, Prozeß der Wissensentdeckung, State of the Art in der Forschung und Anwendung des Data Mining, wichtige Data Mining Tools, die Rolle der Informationsverarbeitung im KDD Prozeß, Data Warehousing, OLAP, Ansätze zur Benutzerunterstüzung des Data Mining Prozesses, Modellselektion und Evaluierungsmethoden für Data Mining Algorithmen

Theme

Data Mining

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Abstract

Metadata is a key aspect of our evolving infrastructure for information management, social computing, and scientific collaboration. DC-2008 will focus on metadata challenges, solutions, and innovation in initiatives and activities underlying semantic and social applications. Metadata is part of the fabric of social computing, which includes the use of wikis, blogs, and tagging for collaboration and participation. Metadata also underlies the development of semantic applications, and the Semantic Web - the representation and integration of multimedia knowledge structures on the basis of semantic models. These two trends flow together in applications such as Wikipedia, where authors collectively create structured information that can be extracted and used to enhance access to and use of information sources. Recent discussion has focused on how existing bibliographic standards can be expressed as Semantic Web vocabularies to facilitate the ingration of library and cultural heritage data with other types of data. Harnessing the efforts of content providers and end-users to link, tag, edit, and describe their information in interoperable ways ("participatory metadata") is a key step towards providing knowledge environments that are scalable, self-correcting, and evolvable. DC-2008 will explore conceptual and practical issues in the development and deployment of semantic and social applications to meet the needs of specific communities of practice.

Content

Carol Jean Godby, Devon Smith, Eric Childress: Encoding Application Profiles in a Computational Model of the Crosswalk. - Maria Elisabete Catarino, Ana Alice Baptista: Relating Folksonomies with Dublin Core. - Ed Summers, Antoine Isaac, Clay Redding, Dan Krech: LCSH, SKOS and Linked Data. - Xia Lin, Jiexun Li, Xiaohua Zhou: Theme Creation for Digital Collections. - Boris Lauser, Gudrun Johannsen, Caterina Caracciolo, Willem Robert van Hage, Johannes Keizer, Philipp Mayr: Comparing Human and Automatic Thesaurus Mapping Approaches in the Agricultural Domain. - P. Bryan Heidorn, Qin Wei: Automatic Metadata Extraction From Museum Specimen Labels. - Stuart Allen Sutton, Diny Golder: Achievement Standards Network (ASN): An Application Profile for Mapping K-12 Educational Resources to Achievement Standards. - Allen H. Renear, Karen M. Wickett, Richard J. Urban, David Dubin, Sarah L. Shreeves: Collection/Item Metadata Relationships. - Seth van Hooland, Yves Bontemps, Seth Kaufman: Answering the Call for more Accountability: Applying Data Profiling to Museum Metadata. - Thomas Margaritopoulos, Merkourios Margaritopoulos, Ioannis Mavridis, Athanasios Manitsaris: A Conceptual Framework for Metadata Quality Assessment. - Miao Chen, Xiaozhong Liu, Jian Qin: Semantic Relation Extraction from Socially-Generated Tags: A Methodology for Metadata Generation. - Hak Lae Kim, Simon Scerri, John G. Breslin, Stefan Decker, Hong Gee Kim: The State of the Art in Tag Ontologies: A Semantic Model for Tagging and Folksonomies. - Martin Malmsten: Making a Library Catalogue Part of the Semantic Web. - Philipp Mayr, Vivien Petras: Building a Terminology Network for Search: The KoMoHe Project. - Michael Panzer: Cool URIs for the DDC: Towards Web-scale Accessibility of a Large Classification System. - Barbara Levergood, Stefan Farrenkopf, Elisabeth Frasnelli: The Specification of the Language of the Field and Interoperability: Cross-language Access to Catalogues and Online Libraries (CACAO)

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Date

22. 3.2008 14:43:03

LCSH

Education, Higher / Great Britain / Data processing

Subject

Education, Higher / Great Britain / Data processing

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Date

22. 7.2000 18:22:14

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Date

22. 7.2000 18:22:27