%0 Conference Paper %1 Cole2001Browsing %A Cole, Richard %A Eklund, Peter %B In Proceedings of the 9th International Conference on Conceptual Structures %D 2001 %K classifieds extraction %P 319--332 %T Browsing semi-structured web texts using formal concept analysis %U http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.11.3841 %X 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. 1

@inproceedings{Cole2001Browsing, abstract = {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. 1}, added-at = {2008-12-09T03:00:06.000+0100}, author = {Cole, Richard and Eklund, Peter}, biburl = {https://www.bibsonomy.org/bibtex/214902eb144560fa31da6ef8f13ec4dcb/jamesh}, booktitle = {In Proceedings of the 9th International Conference on Conceptual Structures}, citeulike-article-id = {3733747}, interhash = {ea752bef21a1ebc9bf84902cf63d646f}, intrahash = {14902eb144560fa31da6ef8f13ec4dcb}, keywords = {classifieds extraction}, pages = {319--332}, posted-at = {2008-12-02 00:04:00}, priority = {2}, timestamp = {2008-12-09T09:59:02.000+0100}, title = {Browsing semi-structured web texts using formal concept analysis}, url = {http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.11.3841}, year = 2001 }