A Survey on Ontology Matching Techniques Satish Kumar National Institute of Technology, Kurukshetra, India. er.satishkumar149@gmail.com Vikram Singh National Institute of Technology, Kurukshetra, India. viksnitkkr@outlook.com Balwinder Saini National Institute of Technology, Kurukshetra, India. me7saini@gmail.com Abstract— Words, sentences, paragraphs and documents is an important component in the data mining application area such as information retrieval, text summarization etc. And finding the similarity value between these components is an important action. Now a day, there are various matching techniques are present which are very helpful for finding the similarity between the ontology. In this survey paper discusses the existing works on similarity (On text, words etc.) using element-level techniques and structure level techniques. Index Terms— Similarity, String-Based similarity, Element- Level techniques, Structure-Level techniques I. INTRODUCTION Homogeneous attribute measures play a consequential role in text cognate area and application in tasks such as ontology matching, information retrieval, query answering etc [1, 2]. Measuring the kindred attribute between the words, text, documents is the primary stage in ontology matching. Ontology matching is a paramount operation traditional applications e.g., Ontology evolution, Ontology integration, data integration and data warehouses [2]. In text similarity words can be similar in two ways lexically and semantically. If the sequence of character is similar then they are lexically similar and if the two words are opposite of each other having similar meaning then they are semantically similar [3]. These types of similarities measures through the element-level techniques between two ontologies. Element –Level techniques discuses the String-predicated techniques, Language-predicated techniques and Constraint-Based techniques etc. On the other hand Structure-Level techniques are used to measure the similarity based on the structure. Structure-Level techniques discuss the Graph-predicated technique, Taxonomy- predicated technique and Constraint-predicated technique. II. MATCHING PROCESS The ontology matching process is utilized to measures the homogeneous attribute between the two ontologies [4]. The matching process determines an alignment A', for two ontologies O 1 and O 2 . There are some other parameters of the matching process. (i) The utilization of an input alignment A (ii) Matching parameter like weights, threshold (iii) External resources utilized by the matching process like erudition-base and domain-categorical area. Definition 1 (Matching process) The matching process considered as function f which emanates from the ontologies to match O 1 and O 2 , an input alignment A, a set of parameters p and a set of oracles and resources r, back to an alignment A' between these ontologies[1, 4]. A' = f (O 1 , O 2 , A, p, r) Fig. 1 The Matching Process III. TYPES OF ONTOLOGY MATCHING TECHNIQUES There are two types of otology matching techniques discusses. First one is Element-level technique and another one is Structure-level techniques [4]. Fig. 2 Types of Ontology Matching Techniques 13 2014 5th International Conference on Computer and Communication Technology (ICCCT) 987-1-4799-6756-8/14/$31.00©2014 IEEE