Browsing semi-structured web texts using formal concept analysis Export

@inproceedings{citeulike:3733747, 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}, author = {Cole, Richard and Eklund, Peter}, booktitle = {In Proceedings of the 9th International Conference on Conceptual Structures}, citeulike-article-id = {3733747}, citeulike-linkout-0 = {http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.11.3841}, keywords = {classifieds, extraction, information}, pages = {319--332}, posted-at = {2008-12-02 00:04:00}, priority = {2}, 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} }

TY - CONF ID - citeulike:3733747 L3 - citeulike-article-id:3733747 N2 - 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 EP - 332 TI - Browsing semi-structured web texts using formal concept analysis T2 - In Proceedings of the 9th International Conference on Conceptual Structures SP - 319 KW - classifieds KW - extraction KW - information AU - Cole, Richard AU - Eklund, Peter PY - 2001/// UR - http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.11.3841 ER -