Ontology learning for the Semantic Web

@article{citeulike:264912, abstract = {The Semantic Web relies heavily on formal ontologies to structure data for comprehensive and transportable machine understanding. Thus, the proliferation of ontologies factors largely in the Semantic Web's success. The authors present an ontology learning framework that extends typical ontology engineering environments by using semiautomatic ontology construction tools. The framework encompasses ontology import, extraction, pruning, refinement and evaluation.}, author = {Maedche, A. and Staab, S. }, citeulike-article-id = {264912}, journal = {IEEE Intelligent Systems and Their Applications}, keywords = {ontology, semantic, web}, number = {2}, pages = {72--79}, posted-at = {2005-07-26 08:14:31}, priority = {2}, title = {Ontology learning for the Semantic Web}, url = {http://ieeexplore.ieee.org/xpls/abs\_all.jsp?arnumber=920602}, volume = {16}, year = {2001} }

TY - JOUR ID - citeulike:264912 L3 - citeulike-article-id:264912 TI - Ontology learning for the Semantic Web JF - IEEE Intelligent Systems and Their Applications VL - 16 IS - 2 SP - 72 EP - 79 N2 - The Semantic Web relies heavily on formal ontologies to structure data for comprehensive and transportable machine understanding. Thus, the proliferation of ontologies factors largely in the Semantic Web's success. The authors present an ontology learning framework that extends typical ontology engineering environments by using semiautomatic ontology construction tools. The framework encompasses ontology import, extraction, pruning, refinement and evaluation. KW - ontology KW - semantic KW - web AU - Maedche, A AU - Staab, S PY - 2001/// UR - http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=920602 ER -