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 experimental results show that extracted keywords are useful for personal metadata creation. We also discuss the annotation of personal metadata. Annotated documents have strong potential for the Semantic Web applications. Personal metadata is also useful for Social Networking.
We attempt to make RDF and topic maps interoperate. We make use of the following: RDF to topic maps mapping, Published Subjects for identifying subjects (resources), and RDF and topic map content spread out on the web. By connecting them semantically, we try to enable the technologies to make work together more effectively than if each had stood on its own..