%0 Conference Paper %1 Stein04topicidentification: %A Stein, Benno %A Eissen, Sven Meyer Zu %B Proc of International Conference on Knowledge Management (I-KNOW %D 2004 %K identification text topic %T Topic Identification: Framework and Application %U http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.113.1501 %X Abstract: This paper is on topic identification, i. e., the construction of useful labels for sets of documents. Topic identification is essential in connection within categorizing search applications, where several sets of documents are delivered and an expressive description for each category must be constructed on the fly. The contributions of this paper are threefold. (1) It presents a framework to formally specify the topic identification problem along with its desired properties, (2) it introduces a classification scheme for topic identification algorithms and outlines the respective algorithm of the AIsearch meta search engine, (3) it proposes a hybrid approach to topic identification, which relies on classification knowledge of existing ontologies.

@inproceedings{Stein04topicidentification:, abstract = {Abstract: This paper is on topic identification, i. e., the construction of useful labels for sets of documents. Topic identification is essential in connection within categorizing search applications, where several sets of documents are delivered and an expressive description for each category must be constructed on the fly. The contributions of this paper are threefold. (1) It presents a framework to formally specify the topic identification problem along with its desired properties, (2) it introduces a classification scheme for topic identification algorithms and outlines the respective algorithm of the AIsearch meta search engine, (3) it proposes a hybrid approach to topic identification, which relies on classification knowledge of existing ontologies.}, added-at = {2009-09-09T05:43:55.000+0200}, author = {Stein, Benno and Eissen, Sven Meyer Zu}, biburl = {https://www.bibsonomy.org/bibtex/2ddbf301e577741dccad6148aed2af987/huiyangsfsu}, booktitle = {Proc of International Conference on Knowledge Management (I-KNOW}, description = {Topic Identification: Framework and Application}, interhash = {2c11083db14f238592ec73a2a94b6e1f}, intrahash = {ddbf301e577741dccad6148aed2af987}, keywords = {identification text topic}, timestamp = {2009-09-09T05:43:55.000+0200}, title = {Topic Identification: Framework and Application}, url = {http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.113.1501}, year = 2004 }