AGGREGO SEARCH: Interactive Keyword Query Construction
نویسندگان
چکیده
AGGREGO SEARCH offers a novel keyword-based query solution for end users in order to retrieve precise answers from semantic data sources. Contrary to existing approaches, AGGREGO SEARCH suggests grammatical connectors from natural languages during the query formulation step in order to specify the meaning of each keyword, thus leading to a complete and explicit definition of the intent of the search. An example of such a query is name of person at the head of company and author of article about “business intelligence". In order to help users formulate such connected keywords queries, a specific autocompletion strategy has been developed. A translation of the user keyword query into SPARQL is performed on-the-fly during the interactive query construction process. For this demonstration, we show how AGGREGO SEARCH has been integrated on top of a mediation system to let users intuitively define explicit and precise keyword queries in order to extract knowledge distributed in heterogeneous large semantic data sources.
منابع مشابه
An 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 کاملDocument Image Retrieval Based on Keyword Spotting Using Relevance Feedback
Keyword Spotting is a well-known method in document image retrieval. In this method, Search in document images is based on query word image. In this Paper, an approach for document image retrieval based on keyword spotting has been proposed. In proposed method, a framework using relevance feedback is presented. Relevance feedback, an interactive and efficient method is used in this paper to imp...
متن کاملQuery Architecture Expansion in Web Using Fuzzy Multi Domain Ontology
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 ...
متن کاملTowards an Interactive Keyword Search over Relational
Keyword search over relational databases has been widely studied for the exploration of structured data in a userfriendly way. However, users typically have limited domain knowledge or are unable to precisely specify their search intention. Existing methods find the minimal units that contain all the query keywords, and largely ignore the interpretation of possible users’ search intentions. As ...
متن کاملPowerQ: An Interactive Keyword Search Engine for Aggregate Queries on Relational Databases
Keyword search over relational databases has gained popularity due to its ease of use. Current research has focused on the efficient computation of results from multiple tuples, and largely ignores queries to retrieve statistical information from databases. The work in [5] developed a system that allows aggregate functions to be expressed using simple keywords. However, this system may return i...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
دوره شماره
صفحات -
تاریخ انتشار 2014