Content-based text querying with ontological descriptors

نویسندگان

  • Troels Andreasen
  • Per Anker Jensen
  • Jørgen Fischer Nilsson
  • Patrizia Paggio
  • Bolette S. Pedersen
  • Hanne Erdman Thomsen
چکیده

This paper describes a method and a system for content-based querying of texts based on the availability of an ontology for the concepts in the text domain. A key principle in the system is the extraction of conceptual content of noun phrases into descriptors forming an integral part of the ontology. The retrieval of text passages rests on matching descriptors from the text against descriptors from the noun phrases in the query. The match need not be exact but is mediated by the ontology, invoking in particular taxonomic reasoning with suband super concepts. The paper also reports on a prototype implementation of the system.

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

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Content - based text querying with ontological descriptors q

This paper describes a method and a system for content-based querying of texts based on the availability of an ontology for the concepts in the text domain. A key principle in the system is the extraction of conceptual content of noun phrases into descriptors forming an integral part of the ontology. The retrieval of text passages rests on matching descriptors from the text against descriptors ...

متن کامل

Semantic Lexical Resources Applied to Content-based Querying - the OntoQuery Project

This paper deals with the exploitation of the lexical and conceptual knowledge coded in the SIMPLE-DK lexicon in the methodology for content-based querying developed by the OntoQuery project. SIMPLE-DK has proven a rich and flexible lexical resource, which the project has taken advantage of in several ways. Firstly, the paper explains how the ontology provided by SIMPLE is used by the current p...

متن کامل

OntoQuery: Ontology-based Querying of Texts

This paper addresses techniques for extracting conceptual descriptions from text sources and queries based on an ontology. The taxonomic ontology comprises featurestructured conceptual descriptions, and retrieval is based on description similarity relative to the ontology. Introduction The aim of the OntoQuery project (Andreasen, Nilsson, and Thomsen 2000; OntoQuery) is to contribute to the dev...

متن کامل

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 کامل

خوشه‌بندی اسناد مبتنی بر آنتولوژی و رویکرد فازی

Data mining, also known as knowledge discovery in database, is the process to discover unknown knowledge from a large amount of data. Text mining is to apply data mining techniques to extract knowledge from unstructured text. Text clustering is one of important techniques of text mining, which is the unsupervised classification of similar documents into different groups. The most important step...

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

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

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:
  • Data Knowl. Eng.

دوره 48  شماره 

صفحات  -

تاریخ انتشار 2004