Ontologies for information entities: State of the art and open challenges

Sanfilippo Emilio M.

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Ontologies for information entities: State of the art and open challenges

机译：信息实体的本体：艺术状态和公开挑战

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Information entities are used in ontologies to represent engineering technical specifications, health records, pictures or librarian data about, e.g., narrative fictions, among others. The literature in applied ontology lacks a comparison of the state of the art, and foundational questions on the nature of information entities remain open for research. The purpose of the paper is twofold. First, to compare existing ontologies with both each other and theories proposed in philosophy, semiotics, librarianship, and literary studies in order to understand how the ontologies conceive and model information entities. Second, to discuss some open research challenges that can lead to principled approaches for the treatment of information entities, possibly by getting into account the variety of information entity types found in the literature.

机译：信息实体用于本体中，以代表工程技术规范，健康记录，图片或图书馆员数据，例如叙述小说等。应用本体论的文献缺乏对现有技术的比较，关于信息实体性质的基本问题仍然开放研究。本文的目的是双重的。首先，将现有的本体与诸如哲学，符号学，图书馆假成和文学研究中提出的彼此和理论进行比较，以了解本体的构思和模型信息实体的方式。其次，讨论一些开放的研究挑战，可能导致信息实体的原则方法，可能会考虑文献中发现的各种信息实体类型。

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《Applied ontology》 |2021年第2期|111-135|共25页
作者
Sanfilippo Emilio M.;
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CNR Lab Appl Ontol ISTC Via Cascata 56-C I-38123 Povo Trento Italy;

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正文语种 eng
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关键词
Foundational ontology; information entity; YAMATO; DLP; IAO; CIDOC-CRM; FRBR;

机译：基础内容;信息实体;yamato;DLP;IAO;CIDOC-CRM;FRBR;

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1. Smart Proximity: Annotating the Proximity of Entities In A Smart City Ontology [J] . Mr. Hind A. Alawfi, Dr. Khalid Saleh Aloufi International Journal of Artificial Intelligence and Expert Systems (IJAE) . 2019,第4期

机译：智能接近：注释智能城市本体中实体的附近
2. Disambiguating the Twitter Stream Entities and Enhancing the Search Operation Using DBpedia Ontology: Named Entity Disambiguation for Twitter Streams [J] . N. Senthil Kumar, Dinakaran Muruganantham International journal of information technology and web engineering . 2016,第2期

机译：使用DBpedia本体消除Twitter流实体的歧义并增强搜索操作：Twitter流的命名实体歧义
3. Effectiveness of Visualization for Information Retrieval through Ontologies with Entity Evolution: The Impact of Ontology Modeling [J] . Akrivi Katifori, Costas Vassilakis, George Lepouras, International journal of information retrieval research . 2015,第2期

机译：通过具有实体演化的本体进行信息检索的可视化效果：本体建模的影响
4. Ontological Representation of Laboratory Test Observables: Challenges and Perspectives in the SNOMED CT Observable Entity Model Adoption [C] . Melissa Mary, Lina F. Soualmia, Xavier Gansel, Conference on artificial intelligence in medicine . 2017

机译：实验室测试可观测对象的本体表示：SNOMED CT可观测实体模型采用中的挑战和观点
5. The Founding of an Event-Ontology: Verlinde's Emergent Gravity and Whitehead's Actual Entities. [D] . Bettinger, Jesse Sterling. 2015

机译：事件本体的建立：Verlinde的新兴引力和Whitehead的实际实体。
6. Integration of anatomy ontology data with protein–protein interaction networks improves the candidate gene prediction accuracy for anatomical entities [O] . Pasan C. Fernando, Paula M. Mabee, Erliang Zeng 2020

机译：与蛋白质 - 蛋白质相互作用网络的解剖学本体数据的整合提高了解剖实体的候选基因预测精度
7. Figure 8: Finding semantically related entities in the DBpedia ontology: The Linked_data and Controlled_vocabulary entities in the DBpedia knowledge base are assumed to be semantically related to each other, since they are both contained under the same category, i.e., Semantic_Web. [O] . -1

机译：图8：在DBPedia本体中查找语义相关实体：DBPedia知识库中的Linked_data和Scround_vocabulary实体被假定在语义上彼此进行语义相关，因为它们都包含在同一类别下，即，Semantic_Web。

Ontologies for information entities: State of the art and open challenges

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