- Author:
- Charles T. Meadow
From the Publisher:
This book's purpose is to teach people who will be searching or designing text retrieval systems how the systems work. For designers, it covers problems they will face and reviews currently available solutions to provide a basis for more advanced study. For the searcher its purpose is to describe why such systems work as they do. The book is primarily about computer-based retrieval systems, but the principles apply to nonmechanized ones as well.. "The book covers the nature of information, how it is organized for use by a computer, how search functions are carried out, and some of the theory underlying these functions. As well, it discusses the interaction between user and system and how retrieved items, users, and complete systems are evaluated. A limited knowledge of mathematics and of computing is assumed.
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- Ortiz-Repiso V, Greenberg J and Calzada-Prado J (2018). A cross-institutional analysis of data-related curricula in information science programmes, Journal of Information Science, 44:6, (768-784), Online publication date: 1-Dec-2018.
- AL-Smadi M, Jaradat Z, AL-Ayyoub M and Jararweh Y (2017). Paraphrase identification and semantic text similarity analysis in Arabic news tweets using lexical, syntactic, and semantic features, Information Processing and Management: an International Journal, 53:3, (640-652), Online publication date: 1-May-2017.
Islam A and Inkpen D (2008). Semantic text similarity using corpus-based word similarity and string similarity, ACM Transactions on Knowledge Discovery from Data, 2:2, (1-25), Online publication date: 1-Jul-2008.- Beg M and Ahmad N (2007). Web search enhancement by mining user actions, Information Sciences: an International Journal, 177:23, (5203-5218), Online publication date: 1-Dec-2007.
- Kiewra M and Nguyen N Adaptrank Proceedings of the 20th international conference on Industrial, engineering, and other applications of applied intelligent systems, (1061-1071)
- Zhang J and Nguyen T (2005). A New Term Significance Weighting Approach, Journal of Intelligent Information Systems, 24:1, (61-85), Online publication date: 1-Jan-2005.
- Kagolovsky Y and Moehr J (2004). A New Look at Information Retrieval Evaluation, Journal of Medical Systems, 28:1, (103-116), Online publication date: 1-Feb-2004.
- Kagolovsky Y and Moehr J (2004). Introducing a Conceptual Information Retrieval (IR) Framework, Journal of Medical Systems, 28:1, (89-101), Online publication date: 1-Feb-2004.
- Embley D Toward semantic understanding Proceedings of the 15th Australasian database conference - Volume 27, (3-12)
- Kagolovsky Y and Moehr J (2003). Terminological Problems in Information Retrieval, Journal of Medical Systems, 27:5, (399-408), Online publication date: 1-Oct-2003.
- Kagolovsky Y and Moehr J (2003). Current Status of the Evaluation of Information Retrieval, Journal of Medical Systems, 27:5, (409-424), Online publication date: 1-Oct-2003.
- Sanchez S, Triantaphyllou E, Chen J and Liao T (2002). An incremental learning algorithm for constructing boolean functions from positive and negative examples, Computers and Operations Research, 29:12, (1677-1700), Online publication date: 1-Oct-2002.
- McMahon C, Crossland R, Lowe A, Shah T, Williams J and Culley S (2002). No zero match browsing of hierarchically categorized information entities, Artificial Intelligence for Engineering Design, Analysis and Manufacturing, 16:3, (243-257), Online publication date: 1-Jun-2002.
- Hersh W (2001). Managing Gigabytes—Compressing and Indexing Documents and Images (Second Edition), Information Retrieval, 4:1, (79-80), Online publication date: 1-Apr-2001.
- Kantor P (2001). Foundations of Statistical Natural Language Processing, Information Retrieval, 4:1, (80-81), Online publication date: 1-Apr-2001.
- Yager R (2000). A Hierarchical Document Retrieval Language, Information Retrieval, 3:4, (357-377), Online publication date: 1-Dec-2000.
- Golovchinsky G, Price M and Schilit B From reading to retrieval Proceedings of the 22nd annual international ACM SIGIR conference on Research and development in information retrieval, (19-25)
- Chung Y, Pottenger W and Schatz B Automatic subject indexing using an associative neural network Proceedings of the third ACM conference on Digital libraries, (59-68)
- Golovchinsky G and Belkin N Innovation and evaluation in information exploration interfaces CHI 98 Conference Summary on Human Factors in Computing Systems, (196-197)
- Sabin R and Yap T Integrating information retrieval techniques with traditional DB methods in a Web-based database browser Proceedings of the 1998 ACM symposium on Applied Computing, (760-766)
- Hersh W, Elliot D, Hickam D, Wolf S and Molnar A Towards new measures of information retrieval evaluation Proceedings of the 18th annual international ACM SIGIR conference on Research and development in information retrieval, (164-170)
- Quin L A text retrieval package for the unix operating system Proceedings of the USENIX Summer 1994 Technical Conference on USENIX Summer 1994 Technical Conference - Volume 1, (16-16)
- Koshman S (1993). SIGIR '93: school of library and information science, Univ. of Pittsburgh, ACM SIGIR Forum, 27:3, (5-11), Online publication date: 20-Sep-1993.
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