Integration of Agile Ontology Mapping towards NLP Search in I-SOAS
Zeeshan Ahmed, Ina Tacheva

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…
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Taxonomy
TopicsScientific Research and Technology · Big Data and Business Intelligence
