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The purpose of this paper is to present functional requirements for bibliographic records (FRBR)‐based model and functional requirements for authority data (FRAD)‐based model; both of which incorporate an event concept that transforms FRBR and FRAD with minimal modification.

Relationships between the entities defined in FRBR/FRAD are transformed into event entities and relationships with other kinds of entities. The cardinality of those relationships is also examined. In addition, a comparison of the proposed FRBR‐based model with the object‐oriented FRBR (FRBR_OO) is conducted.

In the proposed event‐aware FRBR model, an event and its output resource are dependent on each other and necessary information about an event can be expressed with information about its output resource, and vice versa. Therefore, the usefulness and expressiveness of the proposed model is limited. In the FRBR_OO model, dependency between an event and its output resource is not observed, except in a few cases, since a different resource and event modeling was adopted there. The event‐aware FRAD model proposed is useful – but also the scope of its usefulness limited since dependency between an event and its input/output resource is not observed on some event entities.

The proposed models are meaningful in terms of understanding the basic structure and features of a model that incorporates an event concept. The usefulness and limitation of event modeling have been clarified through such model building. The proposed models provide a stable basis for examining FRBR/FRAD further.

The purpose of this paper is to compare fundamental concepts from the grounded theory approach to social science research and concepts from entity‐relationship diagramming, a technique used to model data from the field of systems analysis, and propose that entity‐relationship diagramming can be a useful tool for grounded theory researchers.

The paper compares and contrasts concepts from the two different fields, demonstrating the construction of an entity‐relationship diagram from data from an existing grounded theory research project, and the correspondence between the data model constructs and the grounded theory constructs.

A strong correspondence was found between these two sets of concepts and suggests that the entity‐relationship diagramming technique may be a useful addition to the social scientist's toolkit when carrying out research using the grounded theory approach.

The paper bridges two distinct fields – information systems and grounded theory – and proposes a novel way for qualitative researchers to analyse and depict data.

Since the data model plays an important role in designing manufacturing execution system (MES) database, this paper seeks to provide a generic and adaptable data model for MES, which can facilitate and improve the MES development.

Extended entity‐relationship (EER) model technique is adopted to build the data model of MES.

Based on MES functions and database requirement analysis, four subject's structures of MES database is abstracted from a system integration point of view. These four structures are independent relatively but also have close interrelation. Each structure is modeled with EER model.

The presented data model mainly focuses on discrete manufacturing MES, which perhaps limits its usefulness elsewhere, and the data model still need further testing in manufacturing enterprises with different scales.

A prototype MES system is developed and implemented, the results show that the proposed EER modeling approach can establish and make clear complex relationships among entities existed in a manufacturing system, which lays the foundation for adaptable and modular MES software development and implementation.

This paper fulfils a fundamental need of designing data model for MES and provides a main framework for developing MES data model, which provides reference for researches both in academia and industry to build specific relational data models for specific needs.

In recent years, knowledge graph completion has gained increasing research focus and shown significant improvements. However, most existing models only use the structures of knowledge graph triples when obtaining the entity and relationship representations. In contrast, the integration of the entity description and the knowledge graph network structure has been ignored. This paper aims to investigate how to leverage both the entity description and the network structure to enhance the knowledge graph completion with a high generalization ability among different datasets.

The authors propose an entity-description augmented knowledge graph completion model (EDA-KGC), which incorporates the entity description and network structure. It consists of three modules, i.e. representation initialization, deep interaction and reasoning. The representation initialization module utilizes entity descriptions to obtain the pre-trained representation of entities. The deep interaction module acquires the features of the deep interaction between entities and relationships. The reasoning component performs matrix manipulations with the deep interaction feature vector and entity representation matrix, thus obtaining the probability distribution of target entities. The authors conduct intensive experiments on the FB15K, WN18, FB15K-237 and WN18RR data sets to validate the effect of the proposed model.

The experiments demonstrate that the proposed model outperforms the traditional structure-based knowledge graph completion model and the entity-description-enhanced knowledge graph completion model. The experiments also suggest that the model has greater feasibility in different scenarios such as sparse data, dynamic entities and limited training epochs. The study shows that the integration of entity description and network structure can significantly increase the effect of the knowledge graph completion task.

The research has a significant reference for completing the missing information in the knowledge graph and improving the application effect of the knowledge graph in information retrieval, question answering and other fields.

In 1998, the Functional Requirements for Bibliographic Records (FRBR) model which is composed of four entities (work, expression, manifestation and item) and their associative relationships (primary, responsibility and subject), was proposed by the International Federation of Library Associations and Institutions (IFLA). The FRBR model can be deployed as a logical framework for proceeding metadata analysis and developing metadata format. This paper presents a case study of the National Palace Museum (NPM) in Taipei to examine the feasibility of the FRBR model. Based on the examination of case study at the NPM, the FRBR model is proven to be a useful and fundamental framework for metadata analysis and implementation. Findings show that the FRBR model is helpful in identifying proper metadata elements organization and their distribution over the FRBR entities. The model is more suitable for media‐centric and association‐rich contents. However, in order to refine the FRBR model as a common framework for metadata, it would also require supportive mechanisms for management responsibility relationships for the workflow consideration and refine the distinction between work and expression entity.

The purpose of this paper is to compare the use of two Object-Relational models against the use of a post-Relational model for a realistic application. Although real-world applications, in most cases, can be adequately modeled by the Entity-Relationship (ER) model, the transformation to the popular Relational model alters the representation of structures common in reality, like multi-valued and composite fields. Alternative database models have been developed to overcome these shortcomings.

Based on the ER model of a medical application, this paper compares the information representation, manipulation and enforcement of integrity constraints through PostgreSQL and Oracle, against the use of a post-Relational model composed of the Conceptual Universal Database Language (CUDL) and the Conceptual Universal Database Language Abstraction Level (CAL).

The CAL/CUDL pair, although more periphrastic for data definition, is simpler for data insertions, does not require the use of procedural code for data updates, produces clearer output for retrieval of attributes, can accomplish retrieval of rows based on conditions that address composite data with declarative statements and supports data validation for relationships between composite data without the need for procedural code.

To verify, in practice, the conclusions of the paper, complete implementation of a CAL/CUDL system is needed.

The use of the CAL/CUDL pair would advance the productivity of database application development.

This paper highlights the properties of realistic database-applications modelling and management that are desirable by developers and shows that these properties are better satisfied by the CAL/CUDL pair.

Modelling complex knowledge resources can be problematical as there is currently no formalism that can represent the nature of the data‐seeking process at a conceptual level. The purpose of this paper is to develop a knowledge representation formalism, the functional entity relationship diagram (FERD), which comprises a set of extensions to the industry standard entity relationship diagram established by Chen.

The research uses a design science approach to extend the existing ER formalism using the question‐answering (QA) paradigm. It is an extension of standard data modelling theory and is consistent with category theory.

The authors defined the functional entity, an encapsulated data resource that acts as a QA system and enumerated a typology of nine functional entities generated from two established principles to produce a modelling framework that can depict all existentially quantifiable relations, and demonstrated a satisficing extension to that framework (non‐Aristotelian functional entities) for those situations that do not permit such relations. Further, the authors discussed the system of knowledge mixins for qualifying the relations, and presented an adjunct to the framework, cartographic functional entities, to permit formally verifiable documentation.

Future research will address the pragmatic/sociological dimensions of FERD modelling, and test its utility in field case studies.

The FERD conceptualisation incorporates traditional IS modelling as one aspect of a richer modelling system, and thereby includes all of traditional IS repositories as first class, unmediated sources of knowledge. The establishment of standard types of functional entities can provide a framework for the methodical conversion of the declarative design level to the imperative implementation level. It thus has significant practical implications for the management and use of knowledge in organisations.

The research is original and provides a valuable contribution to conceptual modelling and representation of complex knowledge systems.

This chapter covers the significant developments in subject access embodied in the Functional Requirements (FR) family of models, particularly the Functional Requirements for Subject Authority Data (FRSAD) model.

A structured literature review was used to track the genesis of FRSAD. It builds on work by Pino Buizza and Mauro Guerrini who outlined a potential subject access model for FRBR. Tom Delsey, the author of Resource Description and Access (RDA), also examined the problem of adding subject access.

FRSAD seemed to generate little comment when it appeared in 2009, despite its subject model which departed from that in previous FR standards. FRSAD proposed a subject model based on “thema” and “nomen,” whereby the former, defined as “any entity used as the subject of a work,” was represented by the latter, defined as “any sign or sequence of signs.” It is suggested in this chapter that the linguistic classification theory underlying the PRECIS Indexing System might provide an alternative model for developing generic subject entities in FRSAD.

The FR family of models underpin RDA, the new cataloguing code intended to replace AACR2.Thus issues with FRSAD, which are still unresolved, continue to affect the new generation of cataloguing rules and their supporting models.

NoSQL databases do not require a default schema associated with the data. Even that, they are categorized by data models. A model associated with the data can promote better strategies for persistence and manipulation of data in the target database. Based on this motivation, the purpose of this paper is to present an approach for logical design of NoSQL document databases that consists a process that converts a conceptual modeling into efficient logical representations for a NoSQL document database. The authors also evaluate their approach and demonstrate that the generated NoSQL logical structures reduce the amount of data items accessed by queries.

This paper presents an approach for logical design of NoSQL document database schemas based on a conceptual schema. The authors generate compact and redundancy-free schemas and define appropriate representations in a NoSQL document logical model. The estimated volume of data and workload information can be considered to generate optimized NoSQL document structures.

This approach was evaluated through a case study with an experimental evaluation in the e-commerce application domain. The results demonstrate that the authors’ workload-based conversion process improves query performance on NoSQL documents by reducing the number of database accesses.

Unlike related work, the reported approach covers all typical conceptual constructs, details a conversion process between conceptual schemas and logical representations for NoSQL document database category and, additionally, considers the estimated database workload to perform optimizations in the logical structure. An experimental evaluation shows that the proposed approach is promising.

The purpose of this paper is to consider the nature of community information (CI) and proposes a data model, based on the entity-relationship approach adopted in the Functional Requirements for Bibliographic Records (FRBR), which may assist with the development of future metadata standards for CI systems.

The two main data structure standards for CI, namely the element set developed by the Alliance of Information and Referral Systems (AIRS) and the MARC21 Format for CI, are compared by means of a mapping exercise, after which an entity-relationship data model is constructed, at a conceptual level, based on the definitions of CI found in the literature.

The AIRS and MARC21 data structures converge to a fair degree, with MARC21 providing for additional detail in several areas. However, neither structure is systematically and unambiguously defined, suggesting the need for a data model. An entity-relationship data modelling approach, similar to that taken in FRBR, yielded a model that could be used as the basis for future standards development and research. It was found to effectively cover both the AIRS and MARC21 element sets.

No explicit data model exists for CI, and there has been little discussion reported about what data elements are required to support CI seeking.