Question Answering System Over Semantic Web
نویسندگان
چکیده
منابع مشابه
Towards a Question Answering System over the Semantic Web
Thanks to the development of the Semantic Web, a lot of new structured data has become available on the Web in the form of knowledge bases (KBs). Making this valuable data accessible and usable for end-users is one of the main goals of Question Answering (QA) over KBs. Most current QA systems query one KB, in one language (namely English). The existing approaches are not designed to be easily a...
متن کاملAdapting A Semantic Question Answering System To The Web
This paper describes how a question answering (QA) system developed for smallsized document collections of several million sentences was modified in order to work with a monolingual subset of the web. The basic QA system relies on complete sentence parsing, inferences, and semantic representation matching. The extensions and modifications needed for useful and quick answers from web documents a...
متن کاملPowerAqua: An Ontology Question Answering System for the Semantic Web
As semantic markup becomes ubiquitous, it will become important to be able to ask queries and obtain answers, using natural language (NL) expressions, rather than the keywordbased retrieval mechanisms used by the current search engines. The Semantic Web (SW) opens the way to novel question answering (QA) systems, which can exploit the availability of distributed semantic markup to provide preci...
متن کاملQuestion Answering on the Real Semantic Web
Restriction to a predefined set of ontologies, and consequently limitation to specific domain environments is a pervading drawback in Semantic Search technologies. In this work we present PowerAqua [2], a multi-ontology-based Question Answering (QA) platform that exploits multiple distributed ontologies and knowledge bases to answer queries in multi-domain environments. The system interprets th...
متن کاملCooperative Question Answering for the Semantic Web
In this paper we propose a Cooperative Question Answering System that takes as input queries expressed in natural language and is able to return a cooperative answer obtained from resources in the semantic web, more specifically DBpedia represented in OWL/RDF as knowledge base and WordNet to build similar questions. Our system resorts to ontologies not only for reasoning but also to find answer...
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: IEEE Access
سال: 2021
ISSN: 2169-3536
DOI: 10.1109/access.2021.3067942