Framester is a frame-oriented knowledge graph serving as a hub for many linguistic and factual re... more Framester is a frame-oriented knowledge graph serving as a hub for many linguistic and factual resources including FrameNet, WordNet, VerbNet, BabelNet, DBpedia, Yago, DOLCE-Zero. Framester creates a highly connected knowledge graph based on a formalisation of Fillmore's frame semantics, hence enabling full-fledged OWL querying and reasoning.
Framester is a frame-oriented knowledge graph serving as a hub for many linguistic and factual re... more Framester is a frame-oriented knowledge graph serving as a hub for many linguistic and factual resources including FrameNet, WordNet, VerbNet, BabelNet, DBpedia, Yago, DOLCE-Zero. Framester creates a highly connected knowledge graph based on a formalisation of Fillmore's frame semantics, hence enabling full-fledged OWL querying and reasoning.
Framester is a frame-oriented knowledge graph serving as a hub for many linguistic and factual re... more Framester is a frame-oriented knowledge graph serving as a hub for many linguistic and factual resources including FrameNet, WordNet, VerbNet, BabelNet, DBpedia, Yago, DOLCE-Zero. Framester creates a highly connected knowledge graph based on a formalisation of Fillmore's frame semantics, hence enabling full-fledged OWL querying and reasoning.
Addressing Knowledge Integration with a Frame-Driven Approach
Given a knowledge-based system running virtually forever able to acquire and automatically store ... more Given a knowledge-based system running virtually forever able to acquire and automatically store new open-domain knowledge, one of the challenges is to evolve by continuously integrating new knowledge. This needs to be done while handling conflicts, redundancies and linking existing knowledge to the incoming one. We refer to this task with the name Knowledge integration. In this paper we define the problem by discussing its challenges, we propose an approach for tackling the problem, and, we suggest a methodology for the evaluation of results.
This paper presents an empirical study aiming at understanding the modeling style and the overall... more This paper presents an empirical study aiming at understanding the modeling style and the overall semantic structure of Linked Open Data. We observe how classes, properties and individuals are used in practice. We also investigate how hierarchies of concepts are structured, and how much they are linked. In addition to discussing the results, this paper contributes (i) a conceptual framework, including a set of metrics, which generalises over the observable constructs; (ii) an open source implementation that facilitates its application to other Linked Data knowledge graphs.
A main difference between pre-Web artificial intelligence and the current one is that the Web and... more A main difference between pre-Web artificial intelligence and the current one is that the Web and its Semantic extension (i.e. Web of Data) contain open global-scale knowledge and make it available to potentially intelligent machines that may want to benefit from it. Nevertheless, most of the Web of Data lacks ontological distinctions and has a sparse distribution of axiomatisations. For example, foundational distinctions such as whether an entity is inherently a class or an individual, or whether it is a physical object or not, are hardly expressed in the data, although they have been largely studied and formalised by foundational ontologies (e.g. DOLCE, SUMO). There is a gap between these ontologies, that often formalise or are inspired by preexisting philosophical theories and are developed with a top-down approach, and the Web of Data that is mostly derived from existing databases or from crowd-based effort (e.g. DBpedia, Wikidata, Freebase). We investigate whether the Web provi...
Cultural heritage consists of heterogeneous resources: archaeological artefacts, monuments, sites... more Cultural heritage consists of heterogeneous resources: archaeological artefacts, monuments, sites, landscapes, paintings, photos, books and expressions of human creativity, often enjoyed in different forms: tangible, intangible or digital. Each resource is usually documented, conserved and managed by cultural institutes like museums, libraries or holders of archives. These institutes make available a detailed description of the objects as catalog records. In this context, the chapter proposes both a classification of cultural heritage data types and a process for cultural heritage valorisation through the well-known Linked Open Data paradigm. The classification and process have been defined in the context of a collaboration between the Semantic Technology Laboratory of the National Research Council (STLab) and the Italian Ministry of Cultural Heritage and Activities and Tourism (MIBACT) that the chapter describes, although we claim they are sufficiently general to be adopted in ever...
The Atlas of Paths project has two main goals: (i) the creation and implementation of an ontology... more The Atlas of Paths project has two main goals: (i) the creation and implementation of an ontology network representing information contained in the MiBACT’s Atlante dei Cammini d’Italia and defining the concept of path; (ii) the design of a prototype for a modular software platform allowing the production of the Atlante Linked Open Data as foreseen in its ontological formalization.
This paper presents an empirical study aiming at understanding the modeling style and the overall... more This paper presents an empirical study aiming at understanding the modeling style and the overall semantic structure of Linked Open Data. We observe how classes, properties and individuals are used in practice. We also investigate how hierarchies of concepts are structured, and how much they are linked. In addition to discussing the results, this paper contributes (i) a conceptual framework, including a set of metrics, which generalises over the observable constructs; (ii) an open source implementation that facilitates its application to other Linked Data knowledge graphs.
This dataset is the outcome of an e-government project named FOOD, FOod in Open Data, which was c... more This dataset is the outcome of an e-government project named FOOD, FOod in Open Data, which was carried out in the context of a collaboration between the Institute of Cognitive Sciences and Technologies of the Italian National Research Council, the Italian Ministry of Agriculture (MIPAAF) and the Italian Digital Agency (AgID). In particular, we implemented several ontologies for describing protected names of products (wine, pasta, fish, oil, etc.). In addition, we present the process carried out for producing and publishing a LOD dataset containing data extracted from existing Italian policy documents on such products and compliant with the aforementioned ontologies.<br><br>This dataset contains all the excel files, the ontologies, accompanied by their HTML documentation (in English and Italian) and diagrams, and data developed in the context of the Italian project "FOOD: Food in Open Data".<br>
In order to conduct large-scale semantic analyses, it is necessary to calculate the deductive clo... more In order to conduct large-scale semantic analyses, it is necessary to calculate the deductive closure of very large hierarchical structures. Unfortunately, contemporary reasoners cannot be applied at this scale, unless they rely on expensive hardware such as a multi-node in-memory cluster. In order to handle large-scale semantic analyses on commodity hardware such as regular laptops we introduced [1] a novel data structure called Equivalence Set Graph (ESG). An ESG allows to specify compact views of large RDF graphs thus easing the accomplishment of statistical observations like the number of concepts defined in a graph, the shape of ontological hierarchies etc. ESGs are built by a procedure presented in [1] that delivers graphs as a set of maps storing nodes and edges. In this demo paper (i) we show how facts entailed by an ESG and the graph itself can be specified in RDF following a novel introduced ontology; and, (ii) we present two datasets resulting from the triplification of t...
Social Robotics poses tough challenges to software designers who are required to take care of dif... more Social Robotics poses tough challenges to software designers who are required to take care of difficult architectural drivers like acceptability, trust of robots as well as to guarantee that robots establish a personalised interaction with their users. Moreover, in this context recurrent software design issues such as ensuring interoperability, improving reusability and customizability of software components also arise. Designing and implementing social robotic software architectures is a time-intensive activity requiring multi-disciplinary expertise: this makes difficult to rapidly develop, customise, and personalise robotic solutions. These challenges may be mitigated at design time by choosing certain architectural styles, implementing specific architectural patterns and using particular technologies. Leveraging on our experience in the MARIO project, in this paper we propose a series of principles that social robots may benefit from. These principles lay also the foundations for...
The need of handling semantic heterogeneity of resources is a key problem of the Semantic Web. St... more The need of handling semantic heterogeneity of resources is a key problem of the Semantic Web. State of the art techniques for ontology matching are the key technology for addressing this issue. However, they only partially exploit the natural language descriptions of ontology entities and they are mostly unable to find correspondences between entities having different logical types (e.g. mapping properties to classes). We introduce a novel approach aimed at finding correspondences between ontology entities according to the intensional meaning of their models, hence abstracting from their logical types. Lexical linked open data and frame semantics play a crucial role in this proposal. We argue that this approach may lead to a step ahead in the state of the art of ontology matching, and positively affect related applications such as question answering and knowledge reconciliation.
This paper presents an empirical study aiming at understanding the modeling style and the overall... more This paper presents an empirical study aiming at understanding the modeling style and the overall semantic structure of Linked Open Data. We observe how classes, properties and individuals are used in practice. We also investigate how hierarchies of concepts are structured, and how much they are linked. In addition to discussing the results, this paper contributes (i) a conceptual framework, including a set of metrics, which generalises over the observable constructs; (ii) an open source implementation that facilitates its application to other Linked Data knowledge graphs.
The need of handling semantic heterogeneity of resources is a key problem of the Semantic Web. St... more The need of handling semantic heterogeneity of resources is a key problem of the Semantic Web. State of the art techniques for ontology matching are the key technology for addressing this issue. However, they only partially exploit the natural language descriptions of ontology entities and they are mostly unable to find correspondences between entities having different logical types (e.g. mapping properties to classes). We introduce a novel approach aimed at finding correspondences between ontology entities according to the intensional meaning of their models, hence abstracting from their logical types. Lexical linked open data and frame semantics play a crucial role in this proposal. We argue that this approach may lead to a step ahead in the state of the art of ontology matching, and positively affect related applications such as question answering and knowledge reconciliation.
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Papers by Luigi Asprino