Finding Important Vocabulary Within Ontology
نویسندگان
چکیده
In current Semantic Web community, some researches have been done on ranking ontologies, while very little is paid to ranking vocabularies within ontology. However, finding important vocabularies within a given ontology will bring benefits to ontology indexing, ontology understanding and even ranking vocabularies from a global view. In this paper, Vocabulary Dependency Graph (VDG) is proposed to model the dependencies among vocabularies within an ontology, and Textual Score of Vocabulary (TSV) is established based on the idea of virtual documents. And then a Double Focused PageRank algorithm is applied on VDG and TSV to rank vocabulary within ontology. Primary experiments demonstrate that our approach turns out to be useful in finding important vocabularies within ontology.
منابع مشابه
Dependence Relationships Between Gene Ontology Terms Based On TIGR Gene Product Annotations
The Gene Ontology is an important tool for the representation and processing of information about gene products and functions. It provides controlled vocabularies for the designations of cellular components, molecular functions, and biological processes used in the annotation of genes and gene products. These constitute three separate ontologies, of cellular components), molecular functions and...
متن کاملMOD: Metadata for Ontology Description and Publication
Ontology is an important artifact of Semantic Web applications. Today, there are an enormous number of ontologies available on the Web. Even so, finding and identifying the right ontology is not easy. This is because the majority of ontologies are either not described or described with a general-purpose metadata vocabulary like Dublin Core. On the other hand, ontology construction, irrespective...
متن کاملPhilosophy of Mathematics
The philosophy of mathematics plays an important role in analytic philosophy, both as a subject of inquiry in its own right, and as an important landmark in the broader philosophical landscape. Mathematical knowledge has long been regarded as a paradigm of human knowledge with truths that are both necessary and certain, so giving an account of mathematical knowledge is an important part of epis...
متن کاملOntology Extraction using Social Network
This paper proposes integration of a social network with the tripartite model of ontologies by P. Mika. That model is based on three dimensions, i.e. actors, concepts and instances, and illustrates ontology emergence using actor-concept and conceptinstance relations. However, another important ingredient is the actor-actor relation. For example, a vocabulary is sometimes shared within a communi...
متن کاملA User Interface for Ontology Repositories
Finding ontologies and concepts from a collection of ontologies is a recurring task in many use cases, such as content indexing, searching, and ontology developing. To facilitate this, efficient search and browsing methods are needed. This paper introduces ONKI2, an ontology browser providing a user interface for a repository of ontologies. The system provides a multi-facet search facility for ...
متن کامل