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)
1Hoppe, T. u.a. (Hrsg.): Semantic applications.
Berlin : Springer, 2018. XXV, 264 S.
(methodology, technology, corporate use)
Abstract: This book describes proven methodologies for developing semantic applications: software applications which explicitly or implicitly uses the semantics (i.e., the meaning) of a domain terminology in order to improve usability, correctness, and completeness. An example is semantic search, where synonyms and related terms are used for enriching the results of a simple text-based search. Ontologies, thesauri or controlled vocabularies are the centerpiece of semantic applications. The book includes technological and architectural best practices for corporate use.
Inhalt: Introduction.- Ontology Development.- Compliance using Metadata.- Variety Management for Big Data.- Text Mining in Economics.- Generation of Natural Language Texts.- Sentiment Analysis.- Building Concise Text Corpora from Web Contents.- Ontology-Based Modelling of Web Content.- Personalized Clinical Decision Support for Cancer Care.- Applications of Temporal Conceptual Semantic Systems.- Context-Aware Documentation in the Smart Factory.- Knowledge-Based Production Planning for Industry 4.0.- Information Exchange in Jurisdiction.- Supporting Automated License Clearing.- Managing cultural assets: Implementing typical cultural heritage archive's usage scenarios via Semantic Web technologies.- Semantic Applications for Process Management.- Domain-Specific Semantic Search Applications.
Themenfeld: Semantic Web ; Wissensrepräsentation
LCSH: Computer science ; Data mining ; Information storage and retrieval ; Artificial intelligence ; Management information systems ; Computer Science ; Information Systems Applications (incl. Internet) ; Artificial Intelligence (incl. Robotics) ; Data Mining and Knowledge Discovery ; Management of Computing and Information Systems ; Information Storage and Retrieval
RSWK: Anwendungssystem ; Semantisches Netz ; Ontologie
; Wissensbasiertes System ; Information Retrieval ; Data Mining ; Semantic Web
DDC: 006.33 / DDC23ger ; 006.312 / DDC23ger
RVK: ST 306
2Thelwall, M.: Web indicators for research evaluation : a practical guide.
San Rafael, CA : Morgan & Claypool Publishers, 2016. 170 S.
(Synthesis lectures on information concepts, retrieval, and services; 52)
Abstract: In recent years there has been an increasing demand for research evaluation within universities and other research-based organisations. In parallel, there has been an increasing recognition that traditional citation-based indicators are not able to reflect the societal impacts of research and are slow to appear. This has led to the creation of new indicators for different types of research impact as well as timelier indicators, mainly derived from the Web. These indicators have been called altmetrics, webometrics or just web metrics. This book describes and evaluates a range of web indicators for aspects of societal or scholarly impact, discusses the theory and practice of using and evaluating web indicators for research assessment and outlines practical strategies for obtaining many web indicators. In addition to describing impact indicators for traditional scholarly outputs, such as journal articles and monographs, it also covers indicators for videos, datasets, software and other non-standard scholarly outputs. The book describes strategies to analyse web indicators for individual publications as well as to compare the impacts of groups of publications. The practical part of the book includes descriptions of how to use the free software Webometric Analyst to gather and analyse web data. This book is written for information science undergraduate and Master?s students that are learning about alternative indicators or scientometrics as well as Ph.D. students and other researchers and practitioners using indicators to help assess research impact or to study scholarly communication.
Anmerkung: Rez. in: JASIST 69(2018) no.3, S.498-499 (Isidro F. Aguillo).
LCSH: Electronic books
RSWK: Altmetrische Daten
RVK: AK 28100
3Stuart, D.: Web metrics for library and information professionals.
London : Facet Publ., 2014. VII, 199 S.
Abstract: This is a practical guide to using web metrics to measure impact and demonstrate value. The web provides an opportunity to collect a host of different metrics, from those associated with social media accounts and websites to more traditional research outputs. This book is a clear guide for library and information professionals as to what web metrics are available and how to assess and use them to make informed decisions and demonstrate value. As individuals and organizations increasingly use the web in addition to traditional publishing avenues and formats, this book provides the tools to unlock web metrics and evaluate the impact of this content. The key topics covered include: bibliometrics, webometrics and web metrics; data collection tools; evaluating impact on the web; evaluating social media impact; investigating relationships between actors; exploring traditional publications in a new environment; web metrics and the web of data; the future of web metrics and the library and information professional. The book will provide a practical introduction to web metrics for a wide range of library and information professionals, from the bibliometrician wanting to demonstrate the wider impact of a researcher's work than can be demonstrated through traditional citations databases, to the reference librarian wanting to measure how successfully they are engaging with their users on Twitter. It will be a valuable tool for anyone who wants to not only understand the impact of content, but demonstrate this impact to others within the organization and beyond.
Inhalt: 1. Introduction. MetricsIndicators -- Web metrics and Ranganathan's laws of library science -- Web metrics for the library and information professional -- The aim of this book -- The structure of the rest of this book -- 2. Bibliometrics, webometrics and web metrics. Web metrics -- Information science metrics -- Web analytics -- Relational and evaluative metrics -- Evaluative web metrics -- Relational web metrics -- Validating the results -- 3. Data collection tools. The anatomy of a URL, web links and the structure of the web -- Search engines 1.0 -- Web crawlers -- Search engines 2.0 -- Post search engine 2.0: fragmentation -- 4. Evaluating impact on the web. Websites -- Blogs -- Wikis -- Internal metrics -- External metrics -- A systematic approach to content analysis -- 5. Evaluating social media impact. Aspects of social network sites -- Typology of social network sites -- Research and tools for specific sites and services -- Other social network sites -- URL shorteners: web analytic links on any site -- General social media impact -- Sentiment analysis -- 6. Investigating relationships between actors. Social network analysis methods -- Sources for relational network analysis -- 7. Exploring traditional publications in a new environment. More bibliographic items -- Full text analysis -- Greater context -- 8. Web metrics and the web of data. The web of data -- Building the semantic web -- Implications of the web of data for web metrics -- Investigating the web of data today -- SPARQL -- Sindice -- LDSpider: an RDF web crawler -- 9. The future of web metrics and the library and information professional. How far we have come -- The future of web metrics -- The future of the library and information professional and web metrics.
Anmerkung: Rez. in: JASIST 66(2015) no.11, S.2392-2395 (Enrique Orduña-Malea)
Themenfeld: Informetrie ; Internet
LCSH: Resource description & access ; Webometrics ; Data mining ; Library science
RSWK: Bibliothek / World Wide Web / World Wide Web 2.0 / Analyse / Statistik ; Bibliometrie / Semantic Web / Soziale Software ; Internet / Bibliometrie / Einführung
BK: 54.84 Webmanagement ; 06.00 Information und Dokumentation: Allgemeines
DDC: 025.042 ; 006.312
GHBS: AZC (E)
RVK: AN 96300 ; AN 96400
4Poibeau, T. u.a. (Hrsg.): Multi-source, multilingual information extraction and summarization.
Berlin : Springer, 2013. XX, 323 S.
(Theory and applications of natural language processing)
Abstract: Information extraction (IE) and text summarization (TS) are powerful technologies for finding relevant pieces of information in text and presenting them to the user in condensed form. The ongoing information explosion makes IE and TS critical for successful functioning within the information society. These technologies face particular challenges due to the inherent multi-source nature of the information explosion. The technologies must now handle not isolated texts or individual narratives, but rather large-scale repositories and streams---in general, in multiple languages---containing a multiplicity of perspectives, opinions, or commentaries on particular topics, entities or events. There is thus a need to adapt existing techniques and develop new ones to deal with these challenges. This volume contains a selection of papers that present a variety of methodologies for content identification and extraction, as well as for content fusion and regeneration. The chapters cover various aspects of the challenges, depending on the nature of the information sought---names vs. events,--- and the nature of the sources---news streams vs. image captions vs. scientific research papers, etc. This volume aims to offer a broad and representative sample of studies from this very active research field.
Anmerkung: Rez. in: JASIST 64(2013) no.7, S.1519-1521 (José L. Vicedo, David Tomás)
RSWK: Natürlichsprachiges System / Information Extraction / Automatische Inhaltsanalyse / Zusammenfassung / Aufsatzsammlung
BK: 54.75 (Sprachverarbeitung)
DDC: 006.312 / DDC22ger ; 005.74 / DDC22ger
RVK: ST 530 ; ST 306 ; AN 95300
5Liu, B.: Web data mining : exploring hyperlinks, contents, and usage data.2nd ed.
Heidelberg : Springer, 2011. XX, 622 S.
(Data-centric systems and applications)
Abstract: Web mining aims to discover useful information and knowledge from the Web hyperlink structure, page contents, and usage data. Although Web mining uses many conventional data mining techniques, it is not purely an application of traditional data mining due to the semistructured and unstructured nature of the Web data and its heterogeneity. It has also developed many of its own algorithms and techniques. Liu has written a comprehensive text on Web data mining. Key topics of structure mining, content mining, and usage mining are covered both in breadth and in depth. His book brings together all the essential concepts and algorithms from related areas such as data mining, machine learning, and text processing to form an authoritative and coherent text. The book offers a rich blend of theory and practice, addressing seminal research ideas, as well as examining the technology from a practical point of view. It is suitable for students, researchers and practitioners interested in Web mining both as a learning text and a reference book. Lecturers can readily use it for classes on data mining, Web mining, and Web search. Additional teaching materials such as lecture slides, datasets, and implemented algorithms are available online.
Inhalt: Inhalt: 1. Introduction 2. Association Rules and Sequential Patterns 3. Supervised Learning 4. Unsupervised Learning 5. Partially Supervised Learning 6. Information Retrieval and Web Search 7. Social Network Analysis 8. Web Crawling 9. Structured Data Extraction: Wrapper Generation 10. Information Integration
Anmerkung: Elektronische Ausgabe unter: http://springer.r.delivery.net/r/r?2.1.Ee.2Tp.1gd0L5.C3WE8i..N.WdtE.3uq2.bW89MQ%5f%5fCXPUFOH0.
Themenfeld: Data Mining
RSWK: World Wide Web / Data Mining
BK: 54.72 ; 06.74 ; 06.70 ; 54.32
DDC: 006.312 / DDC22ger ; 005.7402854678 / DDC22ger ; 005.72 / DDC22ger
GHBS: TZG (FH K) ; TWX (FH GE)
RVK: ST 530
6Vidyasagar, M.: ¬A theory of learning and generalization : with applications to neural networks and control systems.
Berlin : Springer, 1997. XVIII,383 S.
(Communications and control engineering series)
Compass: Artificial intelligence
LCSH: Machine learning ; Neural networks (Computer science) ; Distribution (Probability theory)
RSWK: Neuronales Netz / Maschinelles Lernen (21) ; Regelungssystem / Maschinelles Lernen (21)
7Chaitin, G.J.: Algorithmic information theory.
Cambridge : Cambridge University Press, 1987. X, 175 S.
(Cambridge tracts in theoretical computer science ; 1)
Abstract: Chaitin, the inventor of algorithmic information theory, presents in this book the strongest possible version of Gödel's incompleteness theorem, using an information theoretic approach based on the size of computer programs. One half of the book is concerned with studying the halting probability of a universal computer if its program is chosen by tossing a coin. The other half is concerned with encoding the halting probability as an algebraic equation in integers, a so-called exponential diophantine equation.
LCSH: Machine theory ; Computational complexity ; LISP (Computer program language)
RSWK: Algorithmus / Informatik ; Gödelscher Unvollständigkeitssatz ; Metamathematik / LISP
BK: 54.10 (Theoretische Informatik) ; 31.02 (Philosophie und Wissenschaftstheorie der Mathematik)
Eppelsheimer: Mat T 1068 / Informationstheorie
GHBS: TVB (E) ; TVI (HA)
RVK: SK 130