The experiment reported here starts with the assumption that the structure and representation of scientific information should correspond to the cognitive structure assumed to exist in the information searcher and user. The model of investigation of cognitive representation is based on overt manifestations of concepts and conceptual relations as they emerge in the abstract language of titles of scientific documents. On the basis of this language structure, an algorithm has been developed for coding the relevant concepts by means of prepositions. The relevance of the concepts is judged with respect to a schema model containing the main components Problem, Method and Goal, assumed to represent the basic components of research itself. When applied to scientific titles, the assumption is verWed. The algorithm generates the concepts corresponding to the components, and assigns them to different data registers. An important result of the analysis is thus that the intermediate language structure of scientific titles displays a degree of abstractness suitable for automatic concept extraction, provided that an information- or cognition-oriented approach is employed in order for the data registers to be properly interpreted.
Comments
The experiment reported here starts with the assumption that the structure and representation of scientific information should correspond to the cognitive structure assumed to exist in the information searcher and user. The model of investigation of cognitive representation is based on overt manifestations of concepts and conceptual relations as they emerge in the abstract language of titles of scientific documents. On the basis of this language structure, an algorithm has been developed for coding the relevant concepts by means of prepositions. The relevance of the concepts is judged with respect to a schema model containing the main components Problem, Method and Goal, assumed to represent the basic components of research itself. When applied to scientific titles, the assumption is verWed. The algorithm generates the concepts corresponding to the components, and assigns them to different data registers. An important result of the analysis is thus that the intermediate language structure of scientific titles displays a degree of abstractness suitable for automatic concept extraction, provided that an information- or cognition-oriented approach is employed in order for the data registers to be properly interpreted.