We think of match as an operator that takes two graph-like structures (e.g., database schemas or ontologies) and produces a mapping between elements of the two graphs that correspond semantically to each other. The goal of this paper is to propose a new approach to matching, called semantic matching. As its name indicates, in semantic matching the key intuition is to exploit the model-theoretic...

Schema/ontology/classification matching is a critical problem in many application domains, such as, schema/ontology/classification integration, data warehouses, e-commerce, web services coordination, Semantic Web, semantic query processing, etc. We think of Match as an operator which takes two graph-like structures and produces a mapping between semantically related nodes. Semantic matching is ...

The challenge of information extraction (IE) lies in the diversity label schemas and heterogeneity structures. Traditional methods require task-specific model design rely heavily on expensive supervision, making them difficult to generalize new schemas. In this paper, we decouple IE into two basic abilities, structuring conceptualizing, which are shared by different tasks Based paradigm, propos...

Semantic matching finds certain types of semantic relationships among schema/data constructs. Examples include entity matching, linking, coreference resolution, schema/ontology text similarity, textual entailment, question answering, tagging, etc. has received much attention in the database, AI, KDD, Web, and Web communities. Recently, many works have also applied deep learning (DL) to matching...

To achieve semantic interoperability, geo-spatial applications need to be equipped with tools able to understand user terminology that is typically different from the one enforced by standards. In this paper we summarize our experience in providing a semantic extension to the geo-catalogue of the Autonomous Province of Trento (PAT) in Italy. The semantic extension is based on the adoption of th...

To achieve semantic interoperability, geo-spatial applications need to be equipped with tools able to understand user terminology that is typically different from the one enforced by standards. In this paper we summarize our experience in providing a semantic extension to the geo-catalogue of the Autonomous Province of Trento (PAT) in Italy. The semantic extension is based on the adoption of th...

Amidst the proliferation of different resources available on the Grid, today, it is vital to optimally discover the appropriate resource from amongst a repository of the resources distributed across Grid. Conventionally, the syntactic homogeneity of the resource description in each repository is used for match making and for identification of the required resource. Of late, detecting the semant...

Achieving semantic interoperability is a difficult problem with a lot of challenges yet to address. Some of them include matching large-scale data sets, tackling the problem of missing background knowledge, evaluating large scale results, tuning the matching process and doing all of the above in a realistic setting with resource and time constraints. In this paper we report the results of a lar...

Determining semantic similarity between academic documents is crucial to many tasks such as plagiarism detection, automatic technical survey and semantic search. Current studies mostly focus on semantic similarity between concepts, sentences and short text fragments. However, document-level semantic matching is still based on statistical information in surface level, neglecting article structur...

In this talk, we will give a high level introduction to our book entitled “Semantic Matching in Search”, which was published recently in Foundations and Trends in Information Retrieval [1]. We will start our talk by pointing out the importance of semantic matching for natural language processing and information retrieval. Most of the tasks in natural language processing and information retrieva...