Meta Search Engine with Semantic Analysis and Query Processing
نویسندگان
چکیده
منابع مشابه
Meta-search-engine feature analysis
This paper describes an investigation of 20 different metasearch engines. Their features were characterised and classied into six distinct categories based on their functionality and use. The most used features and unique features were specied and explained in detail. The ndings of this study will benet both meta-search-engine developers and ordinary search users.
متن کاملAnalysis of Web Search Engine Query Sessions
In this paper we process and analyze web search engine query and click data from the perspective of the query session (query + clicked results) conducted by the user. We initially state some hypotheses for possible user types and quality profiles for the user session, based on descriptive variables of the session. The query dataset is preprocessed and analyzed using some ...
متن کاملQuery expansion based on relevance feedback and latent semantic analysis
Web search engines are one of the most popular tools on the Internet which are widely-used by expert and novice users. Constructing an adequate query which represents the best specification of users’ information need to the search engine is an important concern of web users. Query expansion is a way to reduce this concern and increase user satisfaction. In this paper, a new method of query expa...
متن کاملSPARQL Query Verbalization for Explaining Semantic Search Engine Queries
In this paper we introduce Spartiqulation, a system that translates SPARQL queries into English text. Our aim is to allow casual end users of semantic applications with limited to no expertise in the SPARQL query language to interact with these applications in a more intuitive way. The verbalization approach exploits domain-independent template-based natural language generation techniques, as w...
متن کاملSemantic Search Engine to Query into Electronic Health Records with a Multiple-Layer Query Language
While the digitization of medical documents has greatly expanded during the past decade, health information retrieval has become a great challenge to address many issues in medical research. Information retrieval in electronic health records (EHRs) should also reduce the difficult tasks of manual information retrieval from records in paper format or computer. The aim of this article was to pres...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: International Journal of Computational Intelligence Research
سال: 2017
ISSN: 0973-1873
DOI: 10.37622/ijcir/13.8.2017.2005-2013