The use of Ontologies to overcome the limitations of keyword-based search has been put forward as one of the motivations of the Semantic IR. We propose a model, which includes an ontology-based scheme for the automatic annotation of Tamil documents and a retrieval system. The retrieval model is based on an adaptation of the classic vector-space model, including an annotation weighting algorithm...

Automatic Web site summarization, which is based on keyword and key sentence extraction from narrative text, is an effective means of making the content of a Web site easily accessible to Web users. This work is directed towards summary generation based on multi-word terms extracted by the C-value/NC-value method. Keyterm-based summaries are compared with keyword-based summaries for a list of t...

In this study, we review 1830 research articles on artificial intelligence in education (AIED), with the aim of providing a holistic picture knowledge evolution interdisciplinary field from 2010 to 2019. A novel three-step approach analysis keyword co-occurrence networks (KCN) is proposed identify structure, clusters and trending keywords within AIED over time. The results reveal considerable d...

Keyword extraction by Term frequency-Inverse document frequency (TF-IDF) is used for text information retrieval and mining in many domains, such as news text, social contact medical text. However, keyword special domains still needs to be improved optimized, particularly the scientific research field. The traditional TF-IDF algorithm considers only word documents, but not domain characteristics...

Traditional searchable encryption schemes construct document vectors based on the term frequency-inverse frequency (TF-IDF) model. Such are not only high-dimensional and sparse but also ignore semantic information of documents. The Sentence Bidirectional Encoder Representations from Transformers (SBERT) model can be used to train containing realize semantic-aware multi-keyword search. In this p...

To ensure security, encryption techniques play a major role when data are outsourced to the cloud. Problem of retrieving the data from the cloud servers is considered. Many searching techniques are used for retrieving the data. This study focused on a set of keyword based search algorithms. It provides secure data retrieval with high efficiency. It concludes Ranked Searchable Symmetric Encrypti...

Semantic web search engine Falcons support keyword based search for linked objects by using comprehensive virtual document which it creates for each object. In our work we are suggesting idea of using Selectivity Estimation of triple patterns for ranking of resulting objects and generating snippet for the keyword query for Falcons Semantic web search engine. Selectivity of a triple pattern is t...