Investigating text power in predicting semantic similarity

This article presents an empirical evaluation to investigate the distributional semantic power of abstract, body and full-text, as different text levels, in predicting the semantic similarity using a collection of open access articles from PubMed. The semantic similarity is measured based on two criteria namely, linear MeSH terms intersection and hierarchical MeSH terms distance. As such, a random sample of 200 queries and 20000 documents are selected from a test collection built on CITREC open source code. Sim Pack Java Library is used to calculate the textual and semantic similarities. The nDCG value corresponding to two of the semantic similarity criteria is calculated at three precision points. Finally, the nDCG values are compared by using the Friedman test to determine the power of each text level in predicting the semantic similarity. The results showed the effectiveness of the text in representing the semantic similarity in such a way that texts with maximum textual similarity are also shown to be 77% and 67% semantically similar in terms of linear and hierarchical criteria, respectively. Furthermore, the text length is found to be more effective in representing the hierarchical semantic compared to the linear one. Based on the findings, it is concluded that when the subjects are homogenous in the tree of knowledge, abstracts provide effective semantic capabilities, while in heterogeneous milieus, full-texts processing or knowledge bases is needed to acquire IR effectiveness

Korean professor training

Issued as Letter reports no. [1-4], and Final report, Project no. A-367

The selective dissemination of information system (SDI system) of the Nuclear Information Centre of the National Commission for Nuclear Energy (CIN/CNEN) in Brazil

The economic importance of the contribution of information services of the Nuclear Information Centre of the National Commission of Nuclear Energy (CIN/CNEN) in Brazil is carefully analysed from the point of view of economic analysis. [Continues.

Special Libraries, January 1973

Volume 64, Issue 1https://scholarworks.sjsu.edu/sla_sl_1973/1000/thumbnail.jp

Special Libraries, October 1984

Volume 75, Issue 4https://scholarworks.sjsu.edu/sla_sl_1984/1003/thumbnail.jp

Special Libraries, February 1976

Volume 67, Issue 2https://scholarworks.sjsu.edu/sla_sl_1976/1001/thumbnail.jp

Special Libraries, May-June 1978

Volume 69, Issue 5-6https://scholarworks.sjsu.edu/sla_sl_1978/1004/thumbnail.jp

A framework for evaluating automatic indexing or classification in the context of retrieval

Tools for automatic subject assignment help deal with scale and sustainability in creating and enriching metadata, establishing more connections across and between resources and enhancing consistency. While some software vendors and experimental researchers claim the tools can replace manual subject indexing, hard scientific evidence of their performance in operating information environments is scarce. A major reason for this is that research is usually conducted in laboratory conditions, excluding the complexities of real-life systems and situations. The paper reviews and discusses issues with existing evaluation approaches such as problems of aboutness and relevance assessments, implying the need to use more than a single “gold standard” method when evaluating indexing and retrieval and proposes a comprehensive evaluation framework. The framework is informed by a systematic review of the literature on indexing, classification and approaches: evaluating indexing quality directly through assessment by an evaluator or through comparison with a gold standard; evaluating the quality of computer-assisted indexing directly in the context of an indexing workflow, and evaluating indexing quality indirectly through analyzing retrieval performance

Special Libraries, August 1975

Volume 66, Issue 8https://scholarworks.sjsu.edu/sla_sl_1975/1006/thumbnail.jp

Special Libraries, December 1974

Volume 65, Issue 12https://scholarworks.sjsu.edu/sla_sl_1974/1008/thumbnail.jp