Evaluating Mapping Repair Systems with Large Biomedical Ontologies
نویسندگان
چکیده
In this paper we provide empirical evidence of the necessity of integrating mapping repair techniques within the ontology matching process, an aspect that is neglected in many ontology matching systems. We also evaluate the feasibility of using state-of-the-art mapping repair techniques in practice, such as those implemented in Alcomo and LogMap. A preliminary evaluation was conducted in the context of the Ontology Alignment Evaluation Initiative (OAEI) 2012. We extend this evaluation and report about the results in detail.
منابع مشابه
On the Feasibility of Using OWL 2 Reasoners in Ontology Alignment Repair Problems
The problem of (semi-)automatically computing mappings between independently developed ontologies is usually referred to as the ontology matching problem. A number of sophisticated ontology matching systems have been developed in the last years [7, 26]. Ontology matching systems, however, rely on lexical and structural heuristics and the integration of the input ontologies and the mappings may ...
متن کاملTo repair or not to repair: reconciling correctness and coherence in ontology reference alignments
A recent development in the field of ontology matching is the alignment repair process, whereby mappings that lead to unsatisfiable classes are removed to ensure that the final alignment is coherent. This process was showcased in the Large Biomedical Ontologies track of OAEI 2012, where two repair systems (ALCOMO and LogMap) were used to create separate coherent reference alignments from the or...
متن کاملEvaluating Large-Scale Biomedical Ontology Matching Over Parallel Platforms
Biomedical systems have been using ontology matching as a primary technique for heterogeneity resolution. However, the natural intricacy and vastness of biomedical data have compelled biomedical ontologies to become large-scale and complex; consequently, biomedical ontology matching has become a computationally intensive task. Our parallel heterogeneity resolution system, i.e., SPHeRe, is built...
متن کاملCentralized Clustering Method To Increase Accuracy In Ontology Matching Systems
Ontology is the main infrastructure of the Semantic Web which provides facilities for integration, searching and sharing of information on the web. Development of ontologies as the basis of semantic web and their heterogeneities have led to the existence of ontology matching. By emerging large-scale ontologies in real domain, the ontology matching systems faced with some problem like memory con...
متن کاملDebugging Mappings between Biomedical Ontologies: Preliminary Results from the NCBO BioPortal Mapping Repository
The ability to provide semantic mappings between multiple large biomedical ontologies is considered as a very important, albeit labor-intensive and errorprone task. To facilitate such a process, several approaches for collaborative ontology mapping building and sharing have been proposed in the recent past. However, despite the improvements in community-wide mappings development, more often the...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
دوره شماره
صفحات -
تاریخ انتشار 2013