Lattice Queries for Search and Data Exploration
نویسنده
چکیده
We introduce the technique of lattice querying which automatically forms the query from the set of text samples provided by a user, and produce search results by matching parse trees of this query with that of candidate answers. Lattice queries allow increase in big data exploration efficiency since they form multiple “hypotheses” concerning user intent and explore data from multiple respective angles. An importance of the lattice queries in data exploration is that only the most important keywords need to be submitted for web search, and neither a single document nor a keywords overlap delivers such the set of keywords. An open source plugin for ElasticSearch and a search request handler for SOLR are developed so that the proposed technology can be easily integrated with industrial search engines.
منابع مشابه
Analysis of users’ query reformulation behavior in Web with regard to Wholis-tic/analytic cognitive styles, Web experience, and search task type
Background and Aim: The basic aim of the present study is to investigate users’ query reformulation behavior with regard to wholistic-analytic cognitive styles, search task type, and experience variables in using the Web. Method: This study is an applied research using survey method. A total of 321 search queries were submitted by 44 users. Data collection tools were Riding’s Cognitive Style A...
متن کاملExternal Plagiarism Detection based on Human Behaviors in Producing Paraphrases of Sentences in English and Persian Languages
With the advent of the internet and easy access to digital libraries, plagiarism has become a major issue. Applying search engines is one of the plagiarism detection techniques that converts plagiarism patterns to search queries. Generating suitable queries is the heart of this technique and existing methods suffer from lack of producing accurate queries, Precision and Speed of retrieved result...
متن کاملTowards Supporting Exploratory Search over the Arabic Web Content: The Case of ArabXplore
Due to the huge amount of data published on the Web, the Web search process has become more difficult, and it is sometimes hard to get the expected results, especially when the users are less certain about their information needs. Several efforts have been proposed to support exploratory search on the web by using query expansion, faceted search, or supplementary information extracted from exte...
متن کاملAn Effective Path-aware Approach for Keyword Search over Data Graphs
Abstract—Keyword Search is known as a user-friendly alternative for structured languages to retrieve information from graph-structured data. Efficient retrieving of relevant answers to a keyword query and effective ranking of these answers according to their relevance are two main challenges in the keyword search over graph-structured data. In this paper, a novel scoring function is proposed, w...
متن کاملInteractive and Deterministic Data Cleaning A Tossed Stone Raises a Thousand Ripples
We present Falcon, an interactive, deterministic, and declarative data cleaning system, which uses SQL update queries as the language to repair data. Falcon does not rely on the existence of a set of pre-defined data quality rules. On the contrary, it encourages users to explore the data, identify possible problems, and make updates to fix them. Bootstrapped by one user update, Falcon guesses a...
متن کامل