Textual And Visual Information Retrieval Using Query Refinement And Pattern Analysis

This book offers comprehensive coverage of information retrieval by considering both Text Based Information Retrieval (TBIR) and Content Based Image Retrieval (CBIR), together with new research topics. The approach to TBIR is based on creating a thesaurus, as well as event classification and detection. N-gram thesaurus generation for query refinement offers a new method for improving the precision of retrieval, while event classification and detection approaches aid in the classification and organization of information using web documents for domain-specific retrieval applications. In turn, with regard to content based image retrieval (CBIR) the book presents a histogram construction method, which is based on human visual perceptions of color. The book’s overarching goal is to introduce readers to new ideas in an easy-to-follow manner.

TheInternationalConferenceonMachineLearningandDataMining(MLDM)is the third meeting in a series of biennial events, which started in 1999, organized by the Institute of Computer Vision and Applied Computer Sciences (IBaI) in Leipzig. MLDM began as a workshop and is now a conference, and has brought the topic of machine learning and data mining to the attention of the research community. Seventy-?ve papers were submitted to the conference this year. The program committeeworkedhardtoselectthemostprogressiveresearchinafairandc- petent review process which led to the acceptance of 33 papers for presentation at the conference. The 33 papers in these proceedings cover a wide variety of topics related to machine learning and data mining. The two invited talks deal with learning in case-based reasoning and with mining for structural data. The contributed papers can be grouped into nine areas: support vector machines; pattern dis- very; decision trees; clustering; classi?cation and retrieval; case-based reasoning; Bayesian models and methods; association rules; and applications. We would like to express our appreciation to the reviewers for their precise andhighlyprofessionalwork.WearegratefultotheGermanScienceFoundation for its support of the Eastern European researchers. We appreciate the help and understanding of the editorial sta? at Springer Verlag, and in particular Alfred Hofmann,whosupportedthepublicationoftheseproceedingsintheLNAIseries. Last, but not least, we wish to thank all the speakers and participants who contributed to the success of the conference.

This book constitutes the refereed proceedings of the 13th International Conference on Applications of Natural Language to Information Systems, NLDB 2008, held in London, UK, in June 2008. The 31 revised full papers and 14 revised poster papers presented together with 3 invited talks and 4 papers of the NLDB 2008 doctoral symposium were carefully reviewed and selected from 82 submissions. The papers are organized in topical sections on natural language processing and understanding, conceptual modelling and ontologies, information retrieval, querying and question answering, document processing and text mining, software (requirements) engineering and specification.

This book constitutes the refereed proceedings of the 7th International Conference on Web-Age Information Management, WAIM 2006, held in Hong Kong, June 2006. The book presents 50 revised full papers, organized in topical sections on indexing, XML query processing, information retrieval, sensor networks and grid computing, peer-to-peer systems, Web services, Web searching, temporal database, clustering, clustering and classification, data mining, data stream processing, XML and semistructured data, and more.

The Center for Intelligent Information Retrieval (CIIR) was formed in the Computer Science Department ofthe University ofMassachusetts, Amherst in 1992. The core support for the Center came from a National Science Foun- tion State/Industry/University Cooperative Research Center(S/IUCRC) grant, although there had been a sizeable information retrieval (IR) research group for over 10 years prior to that grant. Thebasic goal ofthese Centers is to combine basic research, applied research, and technology transfer. The CIIR has been successful in each of these areas, in that it has produced over 270 research papers, has been involved in many successful government and industry collaborations, and has had a significant role in high-visibility Internet sites and start-ups. As a result of these efforts, 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.

Multimedia computing has emerged as a major area of research. Coupled with high-speed networks, multimedia computer systems have opened a spectrum of new applications by combining a variety of information sources, such as voice, graphics, animation, images, audio, and video. Handbook on Multimedia Computing provides a comprehensive resource on advanced topics in this field, considered here as the integration of four industries: computer, communication, broadcasting/entertainment, and consumer electronics. This indispensable reference compiles contributions from 80 academic and industry leaders, examining all the major subsets of multimedia activity. Four parts divide the text: Basic Concepts and Standards introduces basic multimedia terminology, taxonomy, and concepts, including multimedia objects, user interfaces, and standards Multimedia Retrieval and Processing Techniques addresses various aspects of audio, image, and video retrieval; indexing; and processing techniques and systems Multimedia Systems and Techniques covers critical multimedia issues, such as multimedia synchronization, operating systems for multimedia, multimedia databases, storage organizations, and processor architectures Multimedia Communications and Networking discusses networking issues, such as quality of service, resource management, and video transport An indispensable reference, Handbook on Multimedia Computing covers every aspect of multimedia applications and technology. It gives you the tools you need to understand and work in this fast-paced, continuously changing field.

This book constitutes the refereed proceedings of the 13th China National Conference on Computational Linguistics, CCL 2014, and of the First International Symposium on Natural Language Processing Based on Naturally Annotated Big Data, NLP-NABD 2014, held in Wuhan, China, in October 2014. The 27 papers presented were carefully reviewed and selected from 233 submissions. The papers are organized in topical sections on word segmentation; syntactic analysis and parsing the Web; semantics; discourse, coreference and pragmatics; textual entailment; language resources and annotation; sentiment analysis, opinion mining and text classification; large‐scale knowledge acquisition and reasoning; text mining, open IE and machine reading of the Web; machine translation; multilinguality in NLP; underresourced languages processing; NLP applications.

Experiment and Evaluation in Information Retrieval Models explores different algorithms for the application of evolutionary computation to the field of information retrieval (IR). As well as examining existing approaches to resolving some of the problems in this field, results obtained by researchers are critically evaluated in order to give readers a clear view of the topic. In addition, this book covers Algorithmic Solutions to the Problems in Advanced IR Concepts, including Feature Selection for Document Ranking, web page classification and recommendation, Facet Generation for Document Retrieval, Duplication Detection and seeker satisfaction in question answering community Portals. Written with students and researchers in the field on information retrieval in mind, this book is also a useful tool for researchers in the natural and social sciences interested in the latest developments in the fast-moving subject area. Key features: Focusing on recent topics in Information Retrieval research, Experiment and Evaluation in Information Retrieval Models explores the following topics in detail: Searching in social media Using semantic annotations Ranking documents based on Facets Evaluating IR systems offline and online The role of evolutionary computation in IR Document and term clustering, Image retrieval Design of user profiles for IR Web page classification and recommendation Relevance feedback approach for Document and image retrieval