home > library > publications > semiautomatic extraction of topic maps from web pages ...

close subject identifiers for Semiautomatic Extraction of Topic Maps from Web Pages Using ...
  • http://www.topicmapslab.de/publications/semiautomatic_extraction_of_topic_maps_from_web_pages
French_press

Semiautomatic Extraction of Topic Maps from Web Pages Using Clustering with Web Contents and Structure

Paper, was published by Motohiro Mase, Seiji Yamada, and Katsumi Nitta at 2007-11-02

This paper describes a method to semi-automatically extract Topic Maps from a set of Web pages.

External Link: IEEE record

In this paper, we describe a method to semi-automatically extract Topic Maps from a set of Web pages. We introduce the following two points to the existing clustering method: The first is merging only the linked Web pages, to extract the underlying relationship of the topics. The second is introducing the similarity by contents of Web pages and the types of links, and the distance between the directories in which the pages are located, to generate dense clusters. We generate the topic map by assuming the clusters as topics, the edges as associations, the Web pages related to the topic as occurrences from the result of clustering. We experimentally extracted the topic map and evaluated it.

References:

Motohiro Mase, Seiji Yamada, Katsumi Nitta, “Semiautomatic Extraction of Topic Maps from Web Pages Using Clustering with Web Contents and Structure,” wi-iatw, pp.208-211, 2007 IEEE/WIC/ACM International Conferences on Web Intelligence and Intelligent Agent Technology – Workshops, 2007

Authors

Seiji Yamada

No contact information available. 

Signet_person

Seiji is author of Extracting Topic Maps from.. , Extracting Topic Maps from.. , Semiautomatic Extraction of.. , and Extracting topic maps from.. .

Katsumi Nitta

No contact information available. 

Signet_person

Katsumi is author of Extracting Topic Maps from.. , Semiautomatic Extraction of.. , and Extracting topic maps from.. .

 

Follow us on Twitter

maiana

Topic Maps offers an information architecture for semantic portals with
highly networked content and access paths in support of the associative
human mind. It is our technology of choice for knowledge oriented
application systems.

Gerweivev1k_1_
Gerhard Weber
topicWorks Domains
practical-semantics.com
Topic Maps Lab auf der Cebit 2011
Partners

Graduate from the Topic Maps Lab

onotoa