An Evaluation of the Brandeis Semantic Ontology

نویسندگان

  • Catherine Havasi
  • Anna Rumshisky
  • James Pustejovsky
چکیده

The Brandeis Semantic Ontology (BSO) is a new English resource in the generative lexicon tradition. Although still in development, the BSO is a sizable resource containing both a type system and a network of qualia relations. In this paper, we demonstrate that the BSO tends to contain correct qualia relationships by matching the current progress on the BSO with two different sources for qualia relation pairs. We compare with pairs semi-automatically selected from the British National Corpus and pairs automatically extracted from ConceptNet. We find that the current BSO data matches well with the extracted qualia pairs, but that the BSO is missing many of the qualia relations that could be extracted from corpora. We briefly propose a course of action to correct this problem.

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

An Executive Approach Based On the Production of Fuzzy Ontology Using the Semantic Web Rule Language Method (SWRL)

Today, the need to deal with ambiguous information in semantic web languages is increasing. Ontology is an important part of the W3C standards for the semantic web, used to define a conceptual standard vocabulary for the exchange of data between systems, the provision of reusable databases, and the facilitation of collaboration across multiple systems. However, classical ontology is not enough ...

متن کامل

Development of a Combined System Based on Data Mining and Semantic Web for the Diagnosis of Autism

Introduction: Autism is a nervous system disorder, and since there is no direct diagnosis for it, data mining can help diagnose the disease. Ontology as a backbone of the semantic web, a knowledge database with shareability and reusability, can be a confirmation of the correctness of disease diagnosis systems. This study aimed to provide a system for diagnosing autistic children with a combinat...

متن کامل

Centralized Clustering Method To Increase Accuracy In Ontology Matching Systems

Ontology is the main infrastructure of the Semantic Web which provides facilities for integration, searching and sharing of information on the web. Development of ontologies as the basis of semantic web and their heterogeneities have led to the existence of ontology matching. By emerging large-scale ontologies in real domain, the ontology matching systems faced with some problem like memory con...

متن کامل

Development of a Combined System Based on Data Mining and Semantic Web for the Diagnosis of Autism

Introduction: Autism is a nervous system disorder, and since there is no direct diagnosis for it, data mining can help diagnose the disease. Ontology as a backbone of the semantic web, a knowledge database with shareability and reusability, can be a confirmation of the correctness of disease diagnosis systems. This study aimed to provide a system for diagnosing autistic children with a combinat...

متن کامل

Query Architecture Expansion in Web Using Fuzzy Multi Domain Ontology

Due to the increasing web, there are many challenges to establish a general framework for data mining and retrieving structured data from the Web. Creating an ontology is a step towards solving this problem. The ontology raises the main entity and the concept of any data in data mining. In this paper, we tried to propose a method for applying the "meaning" of the search system, But the problem ...

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 2007