A Conceptual-KDD Tool for Ontology Construction from a Database Schema

نویسندگان

  • Renzo Stanley
  • Hernán Astudillo
چکیده

The UNESCO convention on Intangible Cultural Heritage (ICH) requires countries to document their oral traditions, performing arts, traditional festivities, and so forth. Several institutions gather ICH, traditionally by hand, and record and disseminate it through conventional information systems (static knowledge in relational databases, RDB). Two difficulties are that (1) review/refinement of their underlying database schemata by domain experts becomes disruptive, and (2) contribution from community, non-expert users becomes hard, even impossible. This article presents an interactive tool that implements a recent technique to perform Knowledge Discovery in Databases (KDD) guided by Formal Concept Analysis (FCA). The tool takes an RDB schema (in SQL), translates it into a formal context and later in a concept lattice using the CORON platform, allows domain experts to manipulate it and produces a formal ontology (in RDFS). Later, the ontology can be used to instantiate a semantic wiki as community collaboration tool, for example. The technique and tool are illustrated with an example from the ICH domain, using Chile’s Culture Ministry online data. The tool is also available online.

برای دانلود رایگان 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

روش‌شناسی ساخت و طراحی هستی‌نگاشت‌ها:مورد پژوهی حوزه علم‌سنجی

Ontology is a useful tool for organizing resources and on the other hand is a useful tool for the knowledge representation. With the development of Semantic Web technologies, build and create ontologies to expedite the process, it is necessary. The aim of study is explaining the situation methodology, designing scientometrics conceptual model, and steps of its ontology construction as Scientome...

متن کامل

Semiautomatic Generation of Data-Extraction Ontologies from Relational Databases

Data extraction is the process used to gather and structure information in documents (e.g.Web pages). One approach to data extraction is the so-called ontology based data extraction. In this approach, an ontology is used as a guide to the parser that extracts data from the source documents. In this context, an ontology is a conceptual schema enriched with information needed to identify data ite...

متن کامل

A Conceptual-KDD Approach and its Application to Cultural Heritage

Several governmental and non-governmental organizations (NGOs), motivated by the UNESCO have undertaken the task of documenting the intangible cultural heritage of their communities. However, this has proven to be a difficult task. In this work we present a conceptual knowledge discovery in databases (CKDD) approach to aid a particular organization in this task (which has already started). Beca...

متن کامل

Conceptual Modeling of Ontology-based Linguistic Resources with a Focus on Semantic Relations

Although ontologies and linguistic resources play a key role in applied AI and NLP, they have not been developed in a common and systematic way. The lack of a systematic methodology for their development has lead to the production of resources that exhibit common flaws between them, and that, at least when it come to ontologies, negatively impact their results and reusability. In this paper, we...

متن کامل

Inferring Complex Semantic Mappings Between Relational Tables and Ontologies from Simple Correspondences

There are many problems requiring a semantic account of a database schema. At its best, such an account consists of mapping formulas between the schema and a formal conceptual model or ontology (CM) of the domain. This paper describes the underlying principles, algorithms, and a prototype of a tool which infers such semantic mappings when given simple correspondences from table columns in a rel...

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

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2015