iDocument: Using Ontologies for Extracting Information from Text
نویسندگان
چکیده
This work outlines system and usage principles of the ontology-based information extraction system iDocument. Ontology-based information extraction reuses existing domain knowledge for extracting and annotating relevant information from domain-related text. iDocument provides an architecture, an API, and a user interface for supporting users and developers in ontology based knowledge annotation and acquisition tasks. The main contribution of this work is a generic and standardized information extraction template interface for retrieving relevant information from text by using existing domain ontologies.
منابع مشابه
iDocument: Using Ontologies for Extracting and Annotating Information from Unstructured Text
Due to the huge amount of text data in the WWW, annotating unstructured text with semantic markup is a crucial topic in Semantic Web research. This work formally analyzes the incorporation of domain ontologies into information extraction tasks in iDocument. Ontologybased information extraction exploits domain ontologies with formalized and structured domain knowledge for extracting domain-relev...
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 کاملروش جدید متنکاوی برای استخراج اطلاعات زمینه کاربر بهمنظور بهبود رتبهبندی نتایج موتور جستجو
Today, the importance of text processing and its usages is well known among researchers and students. The amount of textual, documental materials increase day by day. So we need useful ways to save them and retrieve information from these materials. For example, search engines such as Google, Yahoo, Bing and etc. need to read so many web documents and retrieve the most similar ones to the user ...
متن کاملارائه مدلی برای استخراج اطلاعات از مستندات متنی، مبتنی بر متنکاوی در حوزه یادگیری الکترونیکی
As computer networks become the backbones of science and economy, enormous quantities documents become available. So, for extracting useful information from textual data, text mining techniques have been used. Text Mining has become an important research area that discoveries unknown information, facts or new hypotheses by automatically extracting information from different written documents. T...
متن کاملOntologies and Information Extraction
An ontology is a description of conceptual knowledge organized in a computerbased representation while information extraction (IE) is a method for analyzing texts expressing facts in natural language and extracting relevant pieces of information from these texts. IE and ontologies are involved in two main and related tasks, • Ontology is used for Information Extraction: IE needs ontologies as p...
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 2009