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We research ontological indexing and querying as a solution for getting better results in information retrieval, which translates in getting the most relevant documents meeting a query. While most of the research in this field focuses on query reformulation and document representation methods, we focused our research on an ontology-based query guidance system (our proposed OntoSense engine &...
Existing search and content management technology is facing a challenge of locating desired content with the exponentially growing volume of documents. An approach for mitigating this issue is to make use of user-generated tags. However, the improvements are limited because tags are (1) free from context and form, (2) user generated, (3) used for purposes other than description, and (4) often ambiguous...
To better understand the authors and studies in IEEE Intelligent Systems, the authors conducted a bibliographic study on its publications. Specifically, they focus on the most productive and highly cited authors and institutions in IS, the authors and institutions most cited in IS, and the journals and institutions that cited IS articles the most.
Ontology is one of the most important components of semantic based information systems which provides context to the document. Ontology enables us to define relationship between different terminologies from diverse domains. To interpret this information and perform reasoning we require to store Ontologies in a way that retrieval becomes easy. Ontologies are defined using OWL (Web ontology language)...
The process of writing a resume is a task where the notion of background knowledge plays an important role. A typical resume contains several interrelated and implicit information. The use of domain ontologies and semantic technologies provides a valuable help to point out such interrelations and to make explicit the implicit knowledge. We present a system to automatically produce a semantically annotated...
Semantic information has been paid much attention in web IR. Although many researches have improved the retrieval performance by employing WordNet synset and concept, relations between concepts are often ignored by most of the semantic retrieval methods. We propose a relation enhanced concept vector model CRVM(concept-relation vector model) for document representation in this paper, and the documents...
The increasing number of available resources that may be used during e-learning scenarios can show problems of access, management and sharing of these resources. An e-learning application deals with the same problem of relevance to the Web. The semantic Web recommends standards for providing a solution to these issues. One main feature of this new Web generation is the use of semantics based on ontologies...
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