Ontology Enhancement for Including Newly Acquired Knowledge About Concept Descriptions and Answering Imprecise Queries
نویسنده
چکیده
This chapter presents a text-mining-based ontology enhancement and query-processing system. The key ideas introduced here are that of learning and including imprecise concept descriptions into ontology structures. This is essential for ontology-based text information extraction since it is not necessary that text description of the concepts or user-specified descriptions will exactly match stored concept descriptions. The traditional propertyvalue framework for concept description has been extended to a propertyIDEA GROUP PUBLISHING This paper appears in the publication, Web Semantics Ontology edited by David Taniar and Johanna Wenny Rahayu © 2006, Idea Group Inc. 701 E. Chocolate Avenue, Suite 200, Hershey PA 17033-1240, USA Tel: 717/533-8845; Fax 717/533-8661; URL-http://www.idea-group.com ITB12217
منابع مشابه
Information extraction and imprecise query answering from web documents
Word based searches for relevant information from texts retrieve a huge collection and burden the user with information overload. Ontology based text information retrieval can perform concept-based search and extract only relevant portions of text containing concepts that are present in the query or those that are semantically linked to query concepts. While these systems have better precision ...
متن کاملConjunctive Query Answering in Rough EL
Rough Description Logics have recently been studied as a means for representing and reasoning with imprecise knowledge. Real-world applications need to exploit reasoning over such knowledge in an efficient way. We describe how the combined approach to query answering can be extended to the rough setting. In particular, we extend both the canonical model and the rewriting procedure such that rou...
متن کاملDeveloping a BIM-based Spatial Ontology for Semantic Querying of 3D Property Information
With the growing dominance of complex and multi-level urban structures, current cadastral systems, which are often developed based on 2D representations, are not capable of providing unambiguous spatial information about urban properties. Therefore, the concept of 3D cadastre is proposed to support 3D digital representation of land and properties and facilitate the communication of legal owners...
متن کاملReflexive Ontologies: Enhancing Ontologies with Self-Contained Queries
In this article, we introduce the concept of “Reflexive Ontologies”. A Reflexive Ontology is a description of the concepts and relations of such concepts with a set of self contained queries over instances in the domain of study. The enhancement of having self contained queries relies in (i) the speeding of the query process (ii) the possibility of the ontology itself to add new queries on indi...
متن کاملPresenting a method for extracting structured domain-dependent information from Farsi Web pages
Extracting structured information about entities from web texts is an important task in web mining, natural language processing, and information extraction. Information extraction is useful in many applications including search engines, question-answering systems, recommender systems, machine translation, etc. An information extraction system aims to identify the entities from the text and extr...
متن کامل