Semantic Analysis Based Approach for Relevant Text Extraction Using Ontology
| Autor: | Suresh Kumar, Manjeet Singh, Poonam Chahal |
|---|---|
| Rok vydání: | 2017 |
| Předmět: |
Ontology Inference Layer
Information retrieval business.industry Computer science Ontology-based data integration Ontology (information science) computer.software_genre Relationship extraction Semantic computing Semantic analysis (knowledge representation) Artificial intelligence business computer Ontology alignment Natural language processing |
| Zdroj: | International Journal of Information Retrieval Research. 7:19-36 |
| ISSN: | 2155-6385 2155-6377 |
| DOI: | 10.4018/ijirr.2017100102 |
| Popis: | Semantic analysis computation is done by extracting the interrelated concepts used by an author in the text/content of document. The concepts and linking i.e. relationships that are available among the concepts are most relevant as they provide the maximum information related to the event or activity as described by an author in the document. The retrieved relevant information from the text helps in the construction of the summary of a large text present in the document. This summary can further be represented in form of ontology and utilized in various application areas of information retrieval process like crawling, indexing, ranking, etc. The constructed ontologies can be compared with each other for calculation of similarity index based on semantic analysis between any texts. This paper gives a novel technique for retrieving the relevant semantic information represented in the form of ontology for true semantic analysis of given text. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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