Due to the increasing web, there are many challenges to establish a general framework for data mining and retrieving structured data from the Web. Creating an ontology is a step towards solving this problem. The ontology raises the main entity and the concept of any data in data mining. In this paper, we tried to propose a method for applying the "meaning" of the search system, But the problem ...

Query expansion is an effective way to extend the coverage of retrieval to the related documents. Various approaches have been proposed and many of them are based o vector space model. The expansion process consists of simply adding expansion terms into the original vector. In this paper we argue that this simplistic expansion method can bias the focus of the original query, because the expande...

This paper presents the results of our team in the Genomics and Blog tracks in TREC 2007. We used the language model implementation provided by Indri for both tracks. For the BLOG track we explored the use of adjectives with in a post as a way to predict opinion polarity. Our work in the Genomics track explores two approaches to generate queries from the original topics. The first approach perf...

In this work we leverage recent advances in context-sensitive language models to improve the task of query expansion. Contextualized word representation models, such as ELMo and BERT, are rapidly replacing static embedding models. We propose a new model, Embeddings for Query Expansion (CEQE), that utilizes query-focused contextualized vectors. study behavior contextual representations generated...

In this paper, we address the problem of answering (unions of) conjunctive queries on Aboxes. We propose a backward-chaining query evaluation based on query expansion. Expanding a query consists of determining all the ways of deriving it from atoms built on some distinguished predicates.