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Semantic Similarity and Artificial Intelligence

There are many applications within the field of information retrieval, which have aroused great interest in recent years. These applications, mostly belonging to the area of Computer Linguistics, Information Retrieval and Artificial Intelli

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    • Ontology Alignment

      Ontology alignment techniques are particularly important because the manual creation of correspondences between concepts is not feasible, as it is too time consuming except for very small ontologies. In fact, both alignment and fusion metho

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      • Ontology Meta-Matching

        The problem of ontology alignment can be described as follows: given two ontologies that describe a set of discrete entities (which can be classes, properties, rules, predicates) it is the process of finding semantic correspondences between

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        • Ontology Matching

          Recent research on the use of ontologies in the Semantic Web promises greater interoperability between software agents and Web services, enabling automatic content-based service discovery. However, the heterogeneity in the representation of

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        Semantic Similarity and Artificial Intelligence

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          Kinds of Semantic Similarity

          The widespread use of semantic similarity is demonstrated by the large number of existing methods used for its calculation. The most relevant measurements made so far can be divided into those using taxonomies or hierarchical structures, th

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          Kinds of Semantic Similarity

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          Semantic Textual Similarity

          Thanks to the proliferation of web search engines and their increased efficiency, it has been possible to develop other types of similarity measures based in this type of application. The main advantage of using search engines is that almo

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          Semantic Textual Similarity

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          Semantic Similarity Measures

          Given the great importance of the calculation of semantic similarity for many computational applications, we observe that a semantic similarity measure should always meet the following requirements: Computationally scalable: This means that

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          Semantic Similarity Measures

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          Knowledge Bases in the Human Resources Industry

          In this work, we have tried to make an overview of a concept that is increasingly present as a way to organize information, data and even metadata. This concept is nothing but the so-called knowledge graph, or as also called by some databas

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          Knowledge Bases in the Human Resources Industry

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          Knowledge Bases

          In recent times, we have witnessed a spectacular development of computer solutions based on computer learning. Where the solutions based on computational statistics stand out above all. These solutions are so good that they have been able t

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          Knowledge Bases

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          Legal Question Answering

          Among the multiple applications that question answering systems have, there is one field of application that stands out notably from the rest: legal question answering. That is to say, the design and implementation of automatic systems that

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          Legal Question Answering

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          Graph Databases

          In the field of manufacturing companies, it is normal to work with processes of transformation and evolution of raw and basic materials. During this process, one passes from obtaining basic materials to totally manufactured products. Howeve

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          Graph Databases

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          Smart Villages

          In recent times, we have witnessed an increase in popularity of the smart city and smart village concepts, i.e. the capability to digitalize urban and rural areas using the new technologies such as Big Data and Artificial Intelligence. Th

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          Smart Villages

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          Semantic Similarity Controllers

          Currently, automatic solutions for measuring semantic similarity based on deep learning offer good accuracy, but little interpretability. The reason is that these solutions are trained over very huge deep neural networks that are imposible

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          Semantic Similarity Controllers

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