Zobrazeno 1 - 10
of 10
pro vyhledávání: '"Laura Pandolfo"'
Publikováno v:
Information, Vol 14, Iss 7, p 397 (2023)
Interest in machine learning and neural networks has increased significantly in recent years. However, their applications are limited in safety-critical domains due to the lack of formal guarantees on their reliability and behavior. This paper shows
Externí odkaz:
https://doaj.org/article/74c45f2ce2d9472fae8d8ab8d17ad8d7
Publikováno v:
IEEE Access, Vol 9, Pp 83718-83726 (2021)
Cyber-Physical Systems (CPSs) are engineered systems that are built from, and depend upon, the seamless integration of computational algorithms and physical components. CPSs are widely used in many safety-critical domains, making it crucial to ensure
Externí odkaz:
https://doaj.org/article/c5e04de964af4ca2b318868916607f85
Autor:
Laura Pandolfo, Luca Pulina
Publikováno v:
International Journal on Semantic Web and Information Systems. 17:1-21
Using semantic web technologies is becoming an efficient way to overcome metadata storage and data integration problems in digital archives, thus enhancing the accuracy of the search process and leading to the retrieval of more relevant results. In t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::884e94f1ee669a10348e792b75435934
https://doi.org/10.4018/ijswis.2021100101
https://doi.org/10.4018/ijswis.2021100101
Publikováno v:
IEEE Access, Vol 9, Pp 83718-83726 (2021)
IEEE Access
IEEE Access
Cyber-Physical Systems (CPSs) are engineered systems that are built from, and depend upon, the seamless integration of computational algorithms and physical components. CPSs are widely used in many safety-critical domains, making it crucial to ensure
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b9b015f945012cbd4d7a33532da4ce62
https://doi.org/10.1109/access.2021.3085911
https://doi.org/10.1109/access.2021.3085911
Publikováno v:
International Journal of Technology and Human Interaction. 16:24-38
Nowadays, there is an increasing interest in using adaptive technologies in cultural heritage sites to personalize and enhance the user's visit experience. However, personalizing the cultural experiences is still a challenging task that requires a de
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::38f3d92d492e938b83017b1fdd915b4e
https://doi.org/10.4018/ijthi.2020070102
https://doi.org/10.4018/ijthi.2020070102
Autor:
Laura Pandolfo, Luca Pulina
Publikováno v:
WEBIST
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::910ce18d24cbbba0e2d2a0612a207e56
https://doi.org/10.5220/0010677000003058
https://doi.org/10.5220/0010677000003058
Publikováno v:
Communications in Computer and Information Science ISBN: 9783030112257
IRCDL
IRCDL
Over the last decades, a huge amount of available digital collections have been published on the Web, opening up new possibilities for solving old questions and posing new ones. However, finding pertinent information in archives often is not an easy
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fe8044e6f6f57b2dbae5d2defa044c11
https://doi.org/10.1007/978-3-030-11226-4_9
https://doi.org/10.1007/978-3-030-11226-4_9
Autor:
Luca Pulina, Laura Pandolfo
Publikováno v:
Advances in Artificial Intelligence: From Theory to Practice ISBN: 9783319600413
IEA/AIE (1)
IEA/AIE (1)
In this paper we describe ADnOTO, a self-adaptive system for automatic ontology-based document annotation. The main goal of ADnOTO is the automatization of the document annotation process, particularly in the context of ontology-based digital librari
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::de0945daafc661e092981db774d3d173
https://doi.org/10.1007/978-3-319-60042-0_54
https://doi.org/10.1007/978-3-319-60042-0_54
Publikováno v:
AI*IA 2016 Advances in Artificial Intelligence ISBN: 9783319491295
AI*IA
AI*IA
Maintaining updated ontology-based digital libraries faces two main issues. First, documents are often unstructured and in heterogeneous data formats, making it even more difficult to extract information and search in. Second, manual ontology populat
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6b433621df5ac2baf7c7a182b991c7fc
http://hdl.handle.net/11567/859276
http://hdl.handle.net/11567/859276
Publikováno v:
Web Reasoning and Rule Systems ISBN: 9783319220017
RR
RR
In this paper we present the conceptual layer of stole, our ontology-based digital archive aiming at helping historical researchers to organize data, extract information and derive new knowledge from historical documents.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2bd7b93d4e79187d7b284af230ddb152
https://hdl.handle.net/11567/828562
https://hdl.handle.net/11567/828562