Abstract
Query-directed browsing of unstructured Web-texts using Formal Concept Analysis (FCA) confronts two problems. Firstly on-line Web-data is sometimes unstructured and any FCA-system must include additional mechanisms to structure input sources. Secondly many online collections are large and dynamic so a Web-robot must be used to automatically extract data. These issues are addressed in this paper. We report on the construction of a Web-based FCA system for browsing classified advertisements for real-estate properties 1. Real-estate advertisements were chosen because they are typical of semi-structured textual information sources accessible on the Web. Furthermore, the analysis of real-estate data using FCA is a classic example used in introductory courses on FCA. However, unlike the classic FCA real-estate example, whose input is a structure relational database, we automatically mine Web-based texts for their structure.
In FCA the word property has a meaning similar to attribute. In this paper property is only be used with the meaning of real-estate property, e.g. a house or apartment.
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Cole, R., Eklund, P. (2001). Browsing Semi-structured Web texts using Formal Concept Analysis. In: Delugach, H.S., Stumme, G. (eds) Conceptual Structures: Broadening the Base. ICCS 2001. Lecture Notes in Computer Science(), vol 2120. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-44583-8_23
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DOI: https://doi.org/10.1007/3-540-44583-8_23
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