A semi automatic annotation approach for ontological and terminological knowledge acquisition

نویسنده

  • Driss Sadoun
چکیده

We propose a semi-automatic method for the acquisition of specialised ontological and terminological knowledge. An ontology and a terminology are automatically built from domain experts’ annotations. The ontology formalizes the common and shared conceptual vocabulary of those experts. Its associated terminology defines a glossary linking annotated terms to their semantic categories. These two resources evolve incrementally and are used for an automatic annotation of a new corpus at each iteration. The annotated corpus concerns the evaluation of French higher education and science institutions.

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

Further use of Controlled Natural Language for Semantic Annotation of Wikis

Knowledge Acquisition through Semantic Annotation is vital to the evolution, growth and success of the Semantic Web. Both Semiautomatic and Manual Annotation are constricted by a knowledge acquisition bottleneck. Manual Semantic Annotation is a complex and arduous task both time-consuming and costly, often requiring specialist annotators. Therefore, automation of this process is essential to ea...

متن کامل

On Designing Controlled Natural Languages for Semantic Annotation

Manual semantic annotation is a complex and arduous task both time-consuming and costly often requiring specialist annotators. (Semi)-automatic annotation tools attempt to ease this process by detecting instances of classes within text and relationships between classes, however their usage often requires knowledge of Natural Language Processing(NLP) and/or formal ontological descriptions. This ...

متن کامل

Towards a Standardized Linguistic Annotation of the Textual Content of Labels in Knowledge Representation Systems

We propose applying standardized linguistic annotation to terms included in labels of knowledge representation schemes (taxonomies or ontologies), hypothesizing that this would help improving ontology-based semantic annotation of texts. We share the view that currently used methods for including lexical and terminological information in such hierarchical networks of concepts are not satisfactor...

متن کامل

Ontology Learning from Text Using Automatic Ontological-Semantic Text Annotation and the Web as the Corpus

We present initial experimental results of an approach to learning ontological concepts from text. For each word to be learned, our system a) creates a corpus of sentences, derived from the web, containing this word; b) automatically semantically annotates the corpus using the OntoSem semantic analyzer; c) creates a candidate new concept by collating semantic information from annotated sentence...

متن کامل

An Environment for Semi-automatic Annotation of Ontological Knowledge with Linguistic Content

Both the multilingual aspects which characterize the (Semantic) Web and the demand for more easy-to-share forms of knowledge representation, being equally accessible by humans and machines, push the need for a more “linguistically aware” approach to ontology development. Ontologies should thus express knowledge by associating formal content with explicative linguistic expressions, possibly in d...

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 2016