Pre-Grant Publication Number: 20090077094
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Prior Art Detail
Summary / Description
| Summary / Description | CREAM allows for creation of metadata. While the annotation mode of CREAM allows to create metadata for existing web pages, the authoring mode lets authors create metadata while putting together the content of a page. CREAM allows to create relational metadata, i.e. metadata that instantiate interrelated definitions of classes in a domain ontology. We discuss some of the requirements one has to meet when developing such an ontology-based framework, e.g. the integration of a metadata crawler, inference services, document management and a meta-ontology, and describe its implementation through a component-based, ontology-driven Web page authoring and annotation tool. |
Basic Information
| Type of Prior Art | Online Publication |
| URL | http://www2002.org/CDROM/refere... |
| Author/Creator | Siegfried Handschuh et. al |
| Title | Authoring and Annotation of Web Pages in CREAM |
| Publication Date | May 1, 2002 |
| Publisher | |
| Directions to Document Location | |
| Additional Information | |
Notes / To Do
| Notes | The pertinent information begins in section 4: Design of Cream. |
Excerpt
Excerpt The core idea behind the meta ontology is the modularization of ontology development and use. It should be possible to define the ontology, as well as to reuse an existing ontology, rather independently of the purpose of creation of metadata by web page authoring and annotation. The meta ontology describes how classes, attributes and relationships from the ontology should be used by the CREAM environment. In particular, we have recognized the urgent need for the meta ontology characterizations. |
Relevance
Claims
1
Relevance
The document editor/viewer visualizes the document contents. The metadata creator may easily provide new metadata by selecting pieces of text and aligning it with parts of the ontology.The annotation framework needs guidance from the ontology. In order to allow for sharing of knowledge, newly created annotations must be consistent with a community's ontology. If metadata creators instantiate arbitrary classes and properties the semantics of these properties remains void. Furthermore, the ontology and the browser for already given facts are important in order to guide metadata creators towards creating relational metadata.The creation of relational metadata must take place within the Semantic Web. During metadata creation subjects must be aware of which entities exist already in their part of the Semantic Web.We have built a RDF Crawler6, a basic tool that gathers interconnected fragments of RDF from the Web and builds a local knowledge base from this data. Relational metadata, proper reference and avoidance of redundant annotation require querying for instances, i.e. querying whether and which instances exist. For this purpose as well as for checking of consistency, we provide an annotation inference server in our framework. The annotation inference server reasons on crawled and newly created instances and on the ontology. It also serves the ontological guidance and fact browser, because it allows to query for existing classes, instances and properties.
The document editor/viewer visualizes the document contents. The metadata creator may easily provide new metadata by selecting pieces of text and aligning it with parts of the ontology.The annotation framework needs guidance from the ontology. In order to allow for sharing of knowledge, newly created annotations must be consistent with a community's ontology. If metadata creators instantiate arbitrary classes and properties the semantics of these properties remains void. Furthermore, the ontology and the browser for already given facts are important in order to guide metadata creators towards creating relational metadata.The creation of relational metadata must take place within the Semantic Web. During metadata creation subjects must be aware of which entities exist already in their part of the Semantic Web.We have built a RDF Crawler6, a basic tool that gathers interconnected fragments of RDF from the Web and builds a local knowledge base from this data. Relational metadata, proper reference and avoidance of redundant annotation require querying for instances, i.e. querying whether and which instances exist. For this purpose as well as for checking of consistency, we provide an annotation inference server in our framework. The annotation inference server reasons on crawled and newly created instances and on the ontology. It also serves the ontological guidance and fact browser, because it allows to query for existing classes, instances and properties.
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