Geonlp: a Tool for the Extraction of Semantic Information from Definitions

نویسنده

  • M. Kokla
چکیده

The explication of the semantics of geospatial concepts is a crucial research priority which affects various aspects of information representation, formalization, integration, and exchange. The aim of the present paper is twofold. Firstly, it proposes a methodology for the semantic definition of geospatial concepts. The proposal is based on an analysis of the semantics of geospatial concepts described in information sources such as categorizations, ontologies, data standards, lexical databases, etc. The paper proposes the analysis of semantic information into two types: (a) semantic properties and (b) semantic relations, and provides a list of fundamental semantic properties and relations. Secondly, the paper presents a tool for the extraction and formalization of semantic information from geospatial concept definitions. The tool is used to analyze the definition of each concept and extract the semantic properties and relations and their corresponding values that describe the concept. The output may be used for several tasks, such as concept comparison, ontology development and integration, and semantic information representation.

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

Presenting 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

A New Method for Improving Computational Cost of Open Information Extraction Systems Using Log-Linear Model

Information extraction (IE) is a process of automatically providing a structured representation from an unstructured or semi-structured text. It is a long-standing challenge in natural language processing (NLP) which has been intensified by the increased volume of information and heterogeneity, and non-structured form of it. One of the core information extraction tasks is relation extraction wh...

متن کامل

Enriching a lexicographic tool with domain definitions: Problems and solutions

Enriching linguistic resources with domain information has been considered one important target in natural language applications. However, automatic definition extraction of this domain information from specialized resources has revealed certain methodological problems in definition construction. This paper presents some problems encountered in automatic definition extraction that are mainly re...

متن کامل

Analysis of User query refinement behavior based on semantic features: user log analysis of Ganj database (IranDoc)

Background and Aim: Information systems cannot be well designed or developed without a clear understanding of needs of users, manner of their information seeking and evaluating. This research has been designed to analyze the Ganj (Iranian research institute of science and technology database) users’ query refinement behaviors via log analysis.    Methods: The method of this research is log anal...

متن کامل

Corpus based coreference resolution for Farsi text

"Coreference resolution" or "finding all expressions that refer to the same entity" in a text, is one of the important requirements in natural language processing. Two words are coreference when both refer to a single entity in the text or the real world. So the main task of coreference resolution systems is to identify terms that refer to a unique entity. A coreference resolution tool could be...

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:

دوره   شماره 

صفحات  -

تاریخ انتشار 2008