منابع مشابه
Keyword Extraction from the Web for Personal Metadata Annotation
With the currently growing interest in the Semantic Web and Social Networking, personal metadata is coming to play an important role in the Web. This paper proposes a novel keyword extraction method to extract personal metadata from the Web. The proposed method is based on co-occurrence information of words. Our method extracts relevant keywords depending on the context of a person. Our experim...
متن کاملKeyword Extraction from the Web for FOAF Metadata
With the currently growing interest in the Semantic Web, metadata is becoming to play an important role in the Web. As one of forthcoming metadata standards for the Semantic Web, FOAF defines an RDF vocabulary for expressing metadata about people and the relation between people. In this paper we propose the novel keyword extraction method to extract FOAF metadata from the Web. The proposed meth...
متن کاملKeyword Extraction from the Web for Creation of Person Metadata
As one emerging metadata standard for the Semantic Web, FOAF defines an RDF vocabulary for expressing metadata about people and the relation among them. This paper proposes a novel keyword extraction method to extract FOAF metadata from the Web. The proposed method is based on co-occurrence information of words. Our method extracts relevant keywords depending on the context of a person. Our exp...
متن کاملToward Network-based Keyword Extraction from Multitopic Web Documents
In this paper we analyse the selectivity measure calculated from the complex network in the task of the automatic keyword extraction. Texts, collected from different web sources (portals, forums), are represented as directed and weighted co-occurrence complex networks of words. Words are nodes and links are established between two nodes if they are directly co-occurring within a sentence. We te...
متن کاملToward Network-based Keyword Extraction from Multitopic Web Documents
In this paper we analyse the selectivity measure calculated from the complex network in the task of the automatic keyword extraction. Texts, collected from different web sources (portals, forums), are represented as directed and weighted co-occurrence complex networks of words. Words are nodes and links are established between two nodes if they are directly co-occurring within the sentence. We ...
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ژورنال
عنوان ژورنال: Transactions of the Japanese Society for Artificial Intelligence
سال: 2005
ISSN: 1346-0714,1346-8030
DOI: 10.1527/tjsai.20.337