42 research outputs found
Semantic Similarity with Concept Senses
No full textThis dataset represents the results of the experimentation of a method for evaluating semantic similarity between concepts in a taxonomy.The method is based on the information-theoretic approach and allows senses of concepts in a given context to be considered.Relevance of senses is calculated in terms of semantic relatedness with the compared concepts.In a previous work [9], the adopted semantic relatedness method was the one described in [10], while in this work we also adopted the ones described in [11], [12], [13], [14], and [15]. We applied our proposal by extending 7 methods for computing semantic similarity in a taxonomy, selected from the literature.The methods considered in the experiment are referred to as R[2], W&P[3], L[4], J&C[5], P&S[6], A[7], and A&M[8]The experiment was run on the well-known Miller and Charles benchmark dataset [1] for assessing semantic similarity.The results are organized in six folders, each with the results related to one of the above semantic relatedness methods.In each folder there is a set of files, each referring to one pair of the Miller and Charles dataset. In fact, for each pair of concepts, all the 28 pairs are considered as possible different contexts. REFERENCES[1] Miller G.A., Charles W.G. 1991. Contextual correlates of semantic similarity. Language and Cognitive Processes 6(1).[2] Resnik P. 1995. Using Information Content to Evaluate Semantic Similarity in a Taxonomy. Int. Joint Conf. on Artificial Intelligence, Montreal.[3] Wu Z., Palmer M. 1994. Verb semantics and lexical selection. 32nd Annual Meeting of the Associations for Computational Linguistics.[4] Lin D. 1998. An Information-Theoretic Definition of Similarity. Int. Conf. on Machine Learning.[5] Jiang J.J., Conrath D.W. 1997. Semantic Similarity Based on Corpus Statistics and Lexical Taxonomy. Inter. Conf. Research on Computational Linguistics.[6] Pirrò G. 2009. A Semantic Similarity Metric Combining Features and Intrinsic Information Content. Data Knowl. Eng, 68(11).[7] Adhikari A., Dutta B., Dutta A., Mondal D., Singh S. 2018. An intrinsic information content-based semantic similarity measure considering the disjoint common subsumers of concepts of an ontology. J. Assoc. Inf. Sci. Technol. 69(8).[8] Adhikari A., Singh S., Mondal D., Dutta B., Dutta A. 2016. A Novel Information Theoretic Framework for Finding Semantic Similarity in WordNet. CoRR, arXiv:1607.05422, abs/1607.05422.[9] Formica A., Taglino F. 2021. An Enriched Information-Theoretic Definition of Semantic Similarity in a Taxonomy. IEEE Access, vol. 9.[10] Information Content-based approach [Schuhmacher and Ponzetto, 2014]. [11] Linked Data Semantic Distance (LDSD) [Passant, 2010]. [12] Wikipedia Link-based Measure (WLM ) [Witten and Milne, 2008];[13] Linked Open Data Description Overlap-based approach (LODDO) [Zhou et al. 2012] [14] Exclusivity-based [Hulpuş et al 2015][15] ASRMP [El Vaigh et al. 2020
ACM dataset for experimental assessment of semantic similarity methods
No full textThis dataset collects data about ACM Transactions on Database Systems (TODS) and ACM Transactions on Information Systems (TOIS) papers published from January 1997 to July 2017. The dataset can be used for experimental evaluation of semantic similarity methods. The dataset has been also used to assess the performance of the SemSimp semantic similarity method
A Semantic Framework for Knowledge Management in Virtual Innovation Factories
No full textKnowledge management is a crucial aspect for enterprises that want to effectively cope with business innovation. However, the full control of the knowledge asset is often missing due to the lack of precise organizational models, policies, and proper technologies, especially in Virtual Enterprises (VEs), which are characterized by heterogeneous partners with different policies, skills and know-how. For such reasons, the need for technologies that enable knowledge sharing, efficient access to knowledge resources, and interoperability is felt as primary. This work proposes a semantics-based infrastructure aimed at supporting effective knowledge management for business innovation in VEs. Knowledge resources are formally represented and stored in a semantic layer, which is exploited by a set of semantic services for enabling efficient retrieval and reasoning capabilities to derive additional knowledge
Knowledge-Based Business Innovation Support
No full textIn this paper we present a semantics-based infrastructure to support planning and monitoring of innovation related activities in a Virtual Enterprise context. We address the problem of knowledge management and interoperability in environments where information is often fragmented and heterogeneous. To this end, we propose a knowledge repository and management infrastructure, called Production and Innovation Knowledge Repository (PIKR), providing a set of reference ontologies to semantically describe enterprise knowledge resources, and semantics-based services for accessing and reasoning over such descriptions. We also give an overview of the implementation of the PIKR that is being carried on in the BIVEE European project
Building theories from IT project design: the HOPES case
No full textDesign science is increasingly attracting the interest of scholars in the field of Information Systems. Starting from a design problem, a researcher selects the kernel theories from which to derive prescriptions for the meta-requirements, the product features (meta-design), the design process (design method) and some testable design product and process hypotheses. The theoretical contribution of this research stream is related to both the new artifact and the practical guidelines for developing it. In this paper we argue that design science as a research strategy can also have an impact on the available knowledge on the social phenomenon to which the design problem refers. In fact, especially when multi-disciplinary teams participate to the design of an IT system, kernel theories can benefit from the different perspectives of actors involved. The design process of a multimedia platform providing innovative social e-services to European elderly persons and their social entourage represents the case study for supporting our hypothesis
A Semantic Cooperation and Interoperability Platform for the European Chambers of Commerce
No full text
Semantic Similarity in a Taxonomy by Refining the Relatedness of Concept Intended Senses
No full textIn this paper, we present an evolution of a novel approach for evaluating semantic similarity in a taxonomy, based on the well-known notion of information content. Such an approach takes into account not only the generic sense of a concept but also its intended sense in a given context. In this work semantic similarity is evaluated according to a refined relatedness measure between the generic sense and the intended sense of a concept, leading to higher correlation values with human judgment with respect to the original proposal
