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Clustering and Information Retrieval

Author: Weili Wu

Publisher: Springer Science & Business Media

ISBN:

Category: Computers

Page: 330

View: 364

Clustering is an important technique for discovering relatively dense sub-regions or sub-spaces of a multi-dimension data distribution. Clus tering has been used in information retrieval for many different purposes, such as query expansion, document grouping, document indexing, and visualization of search results. In this book, we address issues of cluster ing algorithms, evaluation methodologies, applications, and architectures for information retrieval. The first two chapters discuss clustering algorithms. The chapter from Baeza-Yates et al. describes a clustering method for a general metric space which is a common model of data relevant to information retrieval. The chapter by Guha, Rastogi, and Shim presents a survey as well as detailed discussion of two clustering algorithms: CURE and ROCK for numeric data and categorical data respectively. Evaluation methodologies are addressed in the next two chapters. Ertoz et al. demonstrate the use of text retrieval benchmarks, such as TRECS, to evaluate clustering algorithms. He et al. provide objective measures of clustering quality in their chapter. Applications of clustering methods to information retrieval is ad dressed in the next four chapters. Chu et al. and Noel et al. explore feature selection using word stems, phrases, and link associations for document clustering and indexing. Wen et al. and Sung et al. discuss applications of clustering to user queries and data cleansing. Finally, we consider the problem of designing architectures for infor mation retrieval. Crichton, Hughes, and Kelly elaborate on the devel opment of a scientific data system architecture for information retrieval.

Fuzzy Sets in Information Retrieval and Cluster Analysis

Author: S. Miyamoto

Publisher: Springer Science & Business Media

ISBN:

Category: Mathematics

Page: 264

View: 509

The present monograph intends to establish a solid link among three fields: fuzzy set theory, information retrieval, and cluster analysis. Fuzzy set theory supplies new concepts and methods for the other two fields, and provides a common frame work within which they can be reorganized. Four principal groups of readers are assumed: researchers or students who are interested in (a) application of fuzzy sets, (b) theory of information retrieval or bibliographic databases, (c) hierarchical clustering, and (d) application of methods in systems science. Readers in group (a) may notice that the fuzzy set theory used here is very simple, since only finite sets are dealt with. This simplification enables the max min algebra to deal with fuzzy relations and matrices as equivalent entities. Fuzzy graphs are also used for describing theoretical properties of fuzzy relations. This assumption of finite sets is sufficient for applying fuzzy sets to information retrieval and cluster analysis. This means that little theory, beyond the basic theory of fuzzy sets, is required. Although readers in group (b) with little background in the theory of fuzzy sets may have difficulty with a few sections, they will also find enough in this monograph to support an intuitive grasp of this new concept of fuzzy information retrieval. Chapter 4 provides fuzzy retrieval without the use of mathematical symbols. Also, fuzzy graphs will serve as an aid to the intuitive understanding of fuzzy relations.

Natural Language Information Retrieval

Author: T. Strzalkowski

Publisher: Springer Science & Business Media

ISBN:

Category: Language Arts & Disciplines

Page: 384

View: 973

The last decade has been one of dramatic progress in the field of Natural Language Processing (NLP). This hitherto largely academic discipline has found itself at the center of an information revolution ushered in by the Internet age, as demand for human-computer communication and informa tion access has exploded. Emerging applications in computer-assisted infor mation production and dissemination, automated understanding of news, understanding of spoken language, and processing of foreign languages have given impetus to research that resulted in a new generation of robust tools, systems, and commercial products. Well-positioned government research funding, particularly in the U. S. , has helped to advance the state-of-the art at an unprecedented pace, in no small measure thanks to the rigorous 1 evaluations. This volume focuses on the use of Natural Language Processing in In formation Retrieval (IR), an area of science and technology that deals with cataloging, categorization, classification, and search of large amounts of information, particularly in textual form. An outcome of an information retrieval process is usually a set of documents containing information on a given topic, and may consist of newspaper-like articles, memos, reports of any kind, entire books, as well as annotated image and sound files. Since we assume that the information is primarily encoded as text, IR is also a natural language processing problem: in order to decide if a document is relevant to a given information need, one needs to be able to understand its content.

String Processing and Information Retrieval

13th International Conference, SPIRE 2006, Glasgow, UK, October 11-13, 2006, Proceedings

Author: Fabio Crestani

Publisher: Springer Science & Business Media

ISBN:

Category: Computers

Page: 366

View: 249

This book constitutes the refereed proceedings of the 13th International Conference on String Processing and Information Retrieval, SPIRE 2006, held in Glasgpw, UK in October 2006. The 26 revised full papers and 5 revised short papers presented together with 2 invited talks were carefully reviewed and selected from 102 submissions. The papers are organized in topical sections on Web clustering and text categorisation, strings, user behaviour, Web search algorithms, compression, correction, information retrieval applications, bio-informatics, and Web search engines.

Survey of Text Mining

Clustering, Classification, and Retrieval

Author: Michael W. Berry

Publisher: Springer Science & Business Media

ISBN:

Category: Computers

Page: 244

View: 411

Extracting content from text continues to be an important research problem for information processing and management. Approaches to capture the semantics of text-based document collections may be based on Bayesian models, probability theory, vector space models, statistical models, or even graph theory. As the volume of digitized textual media continues to grow, so does the need for designing robust, scalable indexing and search strategies (software) to meet a variety of user needs. Knowledge extraction or creation from text requires systematic yet reliable processing that can be codified and adapted for changing needs and environments. This book will draw upon experts in both academia and industry to recommend practical approaches to the purification, indexing, and mining of textual information. It will address document identification, clustering and categorizing documents, cleaning text, and visualizing semantic models of text.

Visualization for Information Retrieval

Author: Jin Zhang

Publisher: Springer Science & Business Media

ISBN:

Category: Computers

Page: 294

View: 720

Information visualization offers a way to reveal hidden patterns in a visual presentation and allows users to seek information from a visual perspective. Readers of this book will gain an in-depth understanding of the current state of information retrieval visualization. They will be introduced to existing problems along with technical and theoretical findings. The book also provides practical details for the implementation of an information retrieval visualization system.

Information Retrieval Architecture and Algorithms

Author: Gerald Kowalski

Publisher: Springer Science & Business Media

ISBN:

Category: Computers

Page: 305

View: 826

This text presents a theoretical and practical examination of the latest developments in Information Retrieval and their application to existing systems. By starting with a functional discussion of what is needed for an information system, the reader can grasp the scope of information retrieval problems and discover the tools to resolve them. The book takes a system approach to explore every functional processing step in a system from ingest of an item to be indexed to displaying results, showing how implementation decisions add to the information retrieval goal, and thus providing the user with the needed outcome, while minimizing their resources to obtain those results. The text stresses the current migration of information retrieval from just textual to multimedia, expounding upon multimedia search, retrieval and display, as well as classic and new textual techniques. It also introduces developments in hardware, and more importantly, search architectures, such as those introduced by Google, in order to approach scalability issues. About this textbook: A first course text for advanced level courses, providing a survey of information retrieval system theory and architecture, complete with challenging exercises Approaches information retrieval from a practical systems view in order for the reader to grasp both scope and solutions Features what is achievable using existing technologies and investigates what deficiencies warrant additional exploration

Advances in Information Retrieval

26th European Conference on IR Research, ECIR 2004, Sunderland, UK, April 5-7, 2004, Proceedings

Author: Sharon McDonald

Publisher: Springer Science & Business Media

ISBN:

Category: Language Arts & Disciplines

Page: 426

View: 645

Theseproceedingscontaintherefereedfulltechnicalpaperspresentedatthe26th Annual European Conference on Information Retrieval (ECIR 2004). ECIR is theannualconferenceoftheBritishComputerSociety’sspecialistgroupinInf- mation Retrieval. This year the conference was held at the School of Computing and Technology at the University of Sunderland. ECIR began life as the - nual Colloquium on Information Retrieval Research. The colloquium was held in the UK each year until 1998 when the event was held in Grenoble, France. Since then the conference venue has alternated between the United Kingdom and Continental Europe, and the event was renamed the European Conference on Information Retrieval. In recent years, ECIR has continued to grow and has become the major European forum for the discussion of research in the ?eld of Information Retrieval. To mark this metamorphosis from a small informal c- loquium to a major event in the IR research calendar, the BCS-IRSG decided to rename the event to the European Conference on Information Retrieval. ECIR2004received88fullpapersubmissions,fromacrossEuropeandfurther a?eldincludingNorthAmerica,ChinaandAustralia,atestamenttothegrowing popularity and reputation of the conference. Out of the 88 submitted papers, 28 were accepted for presentation. All papers were reviewed by at least three reviewers. Among the accepted papers 11 have a student as the primary author, illustrating that the traditional student focus of the original colloquium is alive today.

Information Retrieval Technology

Asia Information Retrieval Symposium, AIRS 2004, Beijing, China, October 18-20, 2004. Revised Selected Papers

Author: Asia Information Retrieval Symposium

Publisher: Springer Science & Business Media

ISBN:

Category: Computers

Page: 336

View: 396

This book constitutes the thoroughly refereed post-proceedings of the Asia Information Retrieval Symposium, AIRS 2004, held in Beijing, China, in October 2004. The 28 revised full papers presented have passed through two rounds of reviewing and improvement and were selected from 106 papers submitted. All current issues in information retrieval are addressed, ranging from algorithmic and methodological issues to application in various fields. Particular emphasis is given to aspects of Asian languages; text retrieval and Web information retrieval are addressed in several papers.

Graph-based Natural Language Processing and Information Retrieval

Author: Rada Mihalcea

Publisher: Cambridge University Press

ISBN:

Category: Computers

Page:

View: 689

Graph theory and the fields of natural language processing and information retrieval are well-studied disciplines. Traditionally, these areas have been perceived as distinct, with different algorithms, different applications and different potential end-users. However, recent research has shown that these disciplines are intimately connected, with a large variety of natural language processing and information retrieval applications finding efficient solutions within graph-theoretical frameworks. This book extensively covers the use of graph-based algorithms for natural language processing and information retrieval. It brings together topics as diverse as lexical semantics, text summarization, text mining, ontology construction, text classification and information retrieval, which are connected by the common underlying theme of the use of graph-theoretical methods for text and information processing tasks. Readers will come away with a firm understanding of the major methods and applications in natural language processing and information retrieval that rely on graph-based representations and algorithms.

Advances in Information Retrieval

29th European Conference on IR Research, ECIR 2007, Rome, Italy, April 2-5, 2007, Proceedings

Author: Giambattista Amati

Publisher: Springer Science & Business Media

ISBN:

Category: Computers

Page: 759

View: 332

This book constitutes the refereed proceedings of the 29th annual European Conference on Information Retrieval Research, ECIR 2007, held in Rome, Italy in April 2007. The papers are organized in topical sections on theory and design, efficiency, peer-to-peer networks, result merging, queries, relevance feedback, evaluation, classification and clustering, filtering, topic identification, expert finding, XML IR, Web IR, and multimedia IR.

Advances in Information Retrieval

Recent Research from the Center for Intelligent Information Retrieval

Author: Center for Intelligent Information Retrieval

Publisher: Springer Science & Business Media

ISBN:

Category: Computers

Page: 306

View: 187

The NSF Center for Intelligent Information Retrieval (CIIR) was formed in the Computer Science Department of the University of Massachusetts, Amherst, in 1992. Through its efforts in basic research, applied research, and technology transfer, the CIIR has become known internationally as one of the leading research groups in the area of information retrieval. The CIIR focuses on research that results in more effective and efficient access and discovery in large, heterogeneous, distributed text and multimedia databases. The scope of the work that is done in the CIIR is broad and goes significantly beyond `traditional' areas of information retrieval such as retrieval models, cross-lingual search, and automatic query expansion. The research includes both low-level systems issues such as the design of protocols and architectures for distributed search, as well as more human-centered topics such as user interface design, visualization and data mining with text, and multimedia retrieval. Advances in Information Retrieval: Recent Research from the Center for Intelligent Information Retrieval is a collection of papers that covers a wide variety of topics in the general area of information retrieval. Together, they represent a snapshot of the state of the art in information retrieval at the turn of the century and at the end of a decade that has seen the advent of the World-Wide Web. The papers provide overviews and in-depth analysis of theory and experimental results. This book can be used as source material for graduate courses in information retrieval, and as a reference for researchers and practitioners in industry.

Readings in Information Retrieval

Author: Jones

Publisher: Morgan Kaufmann

ISBN:

Category: Computers

Page: 589

View: 423

This compilation of original papers on information retrieval presents an overview, covering both general theory and specific methods, of the development and current status of information retrieval systems. Each chapter contains several papers carefully chosen to represent substantive research work that has been carried out in that area, each is preceded by an introductory overview and followed by supported references for further reading.

Information Extraction: Algorithms and Prospects in a Retrieval Context

Author: Marie-Francine Moens

Publisher: Springer Science & Business Media

ISBN:

Category: Language Arts & Disciplines

Page: 246

View: 108

This book covers content recognition in text, elaborating on past and current most successful algorithms and their application in a variety of settings: news filtering, mining of biomedical text, intelligence gathering, competitive intelligence, legal information searching, and processing of informal text. Today, there is considerable interest in integrating the results of information extraction in retrieval systems, because of the demand for search engines that return precise answers to flexible information queries.

Soft Computing in Web Information Retrieval

Models and Applications

Author: Enrique Herrera-Viedma

Publisher: Springer Science & Business Media

ISBN:

Category: Computers

Page: 316

View: 861

This book presents some recent works on the application of Soft Computing techniques in information access on the World Wide Web. The book comprises 15 chapters from internationally known researchers and is divided in four parts reflecting the areas of research of the presented works such as Document Classification, Semantic Web, Web Information Retrieval and Web Applications. This book demonstrates that Web Information Retrieval is a stimulating area of research where Soft Computing technologies can be applied satisfactorily.

Information Retrieval Methods for Multidisciplinary Applications

Author: Zhongyu Lu

Publisher: IGI Global

ISBN:

Category: Computers

Page: 325

View: 830

"This book provides innovative research on information gathering, web data mining, and automation systems, addressing multidisciplinary applications and focusing on theories and methods with an enterprise-wide perspective"--Provided by publisher.

Multidisciplinary Information Retrieval

Second Information Retrieval Facility Conference, IRFC 2011, Vienna, Austria, June 6, 2011, Proceedings

Author: Allan Hanbury

Publisher: Springer Science & Business Media

ISBN:

Category: Computers

Page: 149

View: 488

This book constitutes the proceedings of the Second Information Retrieval Facility Conference, IRFC 2011, held in Vienna, Austria, in June 2011. The 10 papers presented together with a keynote talk were carefully reviewed and selected from 19 high-quality submissions. IRF conferences wish to bring young researchers into contact with industry at an early stage. The second conference aimed to tackle four complementary research areas: information retrieval, semantic web technologies for IR, natural language processing for IR, and large-scale or distributed computing for the above areas. The papers are organized into topical sections on patents and multilinguality, interactive retrieval support, and IR and the Net.

Text Mining

Classification, Clustering, and Applications

Author: Ashok N. Srivastava

Publisher: CRC Press

ISBN:

Category: Computers

Page: 328

View: 907

The Definitive Resource on Text Mining Theory and Applications from Foremost Researchers in the Field Giving a broad perspective of the field from numerous vantage points, Text Mining: Classification, Clustering, and Applications focuses on statistical methods for text mining and analysis. It examines methods to automatically cluster and classify text documents and applies these methods in a variety of areas, including adaptive information filtering, information distillation, and text search. The book begins with chapters on the classification of documents into predefined categories. It presents state-of-the-art algorithms and their use in practice. The next chapters describe novel methods for clustering documents into groups that are not predefined. These methods seek to automatically determine topical structures that may exist in a document corpus. The book concludes by discussing various text mining applications that have significant implications for future research and industrial use. There is no doubt that text mining will continue to play a critical role in the development of future information systems and advances in research will be instrumental to their success. This book captures the technical depth and immense practical potential of text mining, guiding readers to a sound appreciation of this burgeoning field.

Social Information Retrieval Systems: Emerging Technologies and Applications for Searching the Web Effectively

Emerging Technologies and Applications for Searching the Web Effectively

Author: Goh, Dion

Publisher: IGI Global

ISBN:

Category: Business & Economics

Page: 396

View: 661

The wealth of information accessible on the Internet has grown exponentially since its advent. This mass of content must be systemically sifted to glean pertinent data, and the utilization of the collective intelligence of other users, or social information retrieval, is an innovative, emerging technique. Social Information Retrieval Systems: Emerging Technologies & Applications for Searching the Web Effectively provides relevant content in the areas of information retrieval systems, services, and research; covering topics such as social tagging, collaborative querying, social network analysis, subjective relevance judgments, and collaborative filtering. Answering the increasing demand for authoritative resources on Internet technologies, this Premier Reference Source will make an indispensable addition to any library collection.

Information Storage and Retrieval Systems

Theory and Implementation

Author: Gerald J. Kowalski

Publisher: Springer Science & Business Media

ISBN:

Category: Computers

Page: 318

View: 702

Chapter 1 places into perspective a total Information Storage and Retrieval System. This perspective introduces new challenges to the problems that need to be theoretically addressed and commercially implemented. Ten years ago commercial implementation of the algorithms being developed was not realistic, allowing theoreticians to limit their focus to very specific areas. Bounding a problem is still essential in deriving theoretical results. But the commercialization and insertion of this technology into systems like the Internet that are widely being used changes the way problems are bounded. From a theoretical perspective, efficient scalability of algorithms to systems with gigabytes and terabytes of data, operating with minimal user search statement information, and making maximum use of all functional aspects of an information system need to be considered. The dissemination systems using persistent indexes or mail files to modify ranking algorithms and combining the search of structured information fields and free text into a consolidated weighted output are examples of potential new areas of investigation. The best way for the theoretician or the commercial developer to understand the importance of problems to be solved is to place them in the context of a total vision of a complete system. Understanding the differences between Digital Libraries and Information Retrieval Systems will add an additional dimension to the potential future development of systems. The collaborative aspects of digital libraries can be viewed as a new source of information that dynamically could interact with information retrieval techniques.

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