Linguistic-Based SPARQL Translation Model for Semantic Question Answering System

نویسندگان
چکیده

برای دانلود باید عضویت طلایی داشته باشید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

A SPARQL Endpoint Profiler for an Efficient Question Answering System

A question answering (QA) system querying SPARQL endpoints must know which endpoints have data to match a triple pattern of a given question. To develop a system that locates endpoints more efficiently, we propose a tool to collect several metadata of a SPARQL endpoint using SPARQL queries only. The metadata include IRIs of explicitly declared classes (i.e., objects of the rdf:type predicate) a...

متن کامل

A Semantic Based Question Answering System for Thailand Tourism Information

This paper reports our ongoing research work to create a semantic based question answering system for Thailand tourism information. Our proposed system focuses on mapping expressions in Thai natural language into ontology query language (SPARQL). Topic: Language processing, reasoning aspects

متن کامل

Extending an Indonesian Semantic Analysis-based Question Answering System with Linguistic and World Knowledge Axioms

We adopt a previously developed model of deep syntactic and semantic processing to support question answering for Bahasa Indonesia, and extend it by adding a number of axioms designed to encode useful knowledge for answering questions, thus increasing the inferential power of the QA system. We believe this approach can increase the robustness of semantic analysis-based QA systems, whilst simult...

متن کامل

Automatic Acquisition of Semantic-Based Question Reformulations for Question Answering

In this paper, we present a method for the automatic acquisition of semantic-based reformulations from natural language questions. Our goal is to find useful and generic reformulation patterns, which can be used in our question answering system to find better candidate answers. We used 1343 examples of different types of questions and their corresponding answers from the TREC-8, TREC-9 and TREC...

متن کامل

Modeling Semantic Question Context for Question Answering

Within a Question Answering (QA) framework, Question Context plays a vital role. We define Question Context to be background knowledge that can be used to represent the user’s information need more completely than the terms in the query alone. This paper proposes a novel approach that uses statistical language modeling techniques to develop a semantic Question Context which we then incorporate ...

متن کامل

ذخیره 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: Advanced Science Letters

سال: 2018

ISSN: 1936-6612

DOI: 10.1166/asl.2018.10753