Integration of Agile Ontology Mapping towards NLP Search in I-SOAS

TL;DR

This paper presents an approach integrating agile ontology mapping with NLP techniques to enhance semantic search capabilities in Product Data Management systems, demonstrated through a prototype application.

Contribution

It introduces a novel integration of agile ontology mapping with NLP for semantic search in PDM, addressing key challenges in the field.

Findings

Development of a semantic-based search prototype for PDM systems

Effective use of ontology and NLP techniques for understanding natural language queries

Improved search accuracy in PDM through semantic understanding

Abstract

In this research paper we address the importance of Product Data Management (PDM) with respect to its contributions in industry. Moreover we also present some currently available major challenges to PDM communities and targeting some of these challenges we present an approach i.e. I-SOAS, and briefly discuss how this approach can be helpful in solving the PDM community's faced problems. Furthermore, limiting the scope of this research to one challenge, we focus on the implementation of a semantic based search mechanism in PDM Systems. Going into the details, at first we describe the respective field i.e. Language Technology (LT), contributing towards natural language processing, to take advantage in implementing a search engine capable of understanding the semantic out of natural language based search queries. Then we discuss how can we practically take advantage of LT by implementing its concepts in the form of software application with the use of semantic web technology i.e. Ontology. Later, in the end of this research paper, we briefly present a prototype application developed with the use of concepts of LT towards semantic based search.