Search (10 results, page 1 of 1)

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Abstract

The article describes the project an music information retrieval that has been carried out at the University of Padova, Italy. The research work has been characterized by the synergy of the modular integration of sound techniques of melody processing and of statistical information retrieval. After illustrating the background from which the project has originated, we describe the complete process, from methodology design through evaluation and system implementation. Conclusions, impacts an research in music information retrieval, and future directions are also described.

Footnote

Beitrag in einem Themenheft zur Musikerschließung und zum Musikretrieval

Source

Journal of the American Society for Information Science and Technology. 55(2004) no.12, S.1058-1066

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Source

Encyclopedia of library and information science. Vol.66, [=Suppl.29]

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Abstract

Introduces what automatic authoring of a hypertext for information retrieval means. The most difficult part of the automatic construction of a hypertext is the creation of links connecting documents or document fragments that are related. Becaus of this, to many researchers it seemed natural to use information retrieval techniques for this purpose, since information retrieval has always dealt with the construction of relationships between objects mutually relevant. Presents a survey of some of the attempts toward the automatic construction of hypertexts for information retrieval. Identifies and compares scope, advantages and limitations of different approaches. Points out the main and most successful current lines of research

Source

Information processing and management. 33(1997) no.2, S.133-144

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Abstract

Describes the design and implementation of TACHIR, a tool for the automatic construction of hypertexts for information retrieval. Through the use of an authoring methodology employing a set of well known information retrieval techniques, TACHIR automatically builds up a hypertext from a document collection. The structure of the hypertext reflects a 3 level conceptual model which enables navigation among documents, index terms, and concepts using automatically determined links. The hypertext is implemented using the HTML language. It can be distributed on different sites and different machines over the Internet, and it can be navigated using WWW interfaces

Source

Information processing and management. 32(1996) no.4, S.459-476

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Abstract

In this paper we will present a language-independent probabilistic model which can automatically generate stemmers. Stemmers can improve the retrieval effectiveness of information retrieval systems, however the designing and the implementation of stemmers requires a laborious amount of effort due to the fact that documents and queries are often written or spoken in several different languages. The probabilistic model proposed in this paper aims at the development of stemmers used for several languages. The proposed model describes the mutual reinforcement relationship between stems and derivations and then provides a probabilistic interpretation. A series of experiments shows that the stemmers generated by the probabilistic model are as effective as the ones based on linguistic knowledge.

Source

Information processing and management. 41(2005) no.1, S.121-137

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Abstract

Textbooks are more available in electronic format now than in the past. Because textbooks are typically large, the end user needs effective tools to rapidly access information encapsulated in textbooks stored in digital libraries. Statistical similarity-based links among hypertextbooks are a means to provide those tools. In this paper, the design and the implementation of a tool that generates networks of links within and across hypertextbooks through a completely automatic and unsupervised procedure is described. The design is based an statistical techniques. The overall methodology is presented together with the results of a case study reached through a working prototype that shows that connecting hyper-textbooks is an efficient way to provide an effective retrieval capability.

Source

Journal of the American Society for Information Science and technology. 55(2004) no.5, S.414-430

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Abstract

The growing availability of data in electronic form, the expansion of the World Wide Web and the accessibility of computational methods for large-scale data processing have allowed researchers in Information Retrieval (IR) to design systems which can effectively and efficiently constrain search within the boundaries given by context, thus transforming classical search into contextual search. Contextual Search: A Computational Framework introduces contextual search within a computational framework based on contextual variables, contextual factors and statistical models. It describes how statistical models can process contextual variables to infer the contextual factors underlying the current search context. It also provides background to the subject by: placing it among other surveys on relevance, interaction, context, and behaviour; providing a description of the contextual variables used for implementing the statistical models which represent and predict relevance and contextual factors; and providing an overview of the evaluation methodologies and findings relevant to this subject. Contextual Search: A Computational Framework is a highly recommended read, both for beginners who are embarking on research in this area and as a useful reference for established IR researchers.

Series

Foundations and trends(r) in information retrieval; 6, 4/5

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Source

Information processing and management. 50(2014) no.2, S.342-360

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Source

Information processing and management. 34(1998) no.1, S.43-68

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Source

Journal of the American Society for Information Science and Technology. 58(2007) no.5, S.673-686