A relevant document search system model using word2vec approaches

This chapter exposes some core concepts for an innovative bibliographic information search system model, where not only the document is the point of reference, but to a new extent, the user himself and all his surroundings. Taken as central point is the bibliographic collection of the Library and the “ecosystem” of users and their use of the same, added with, to the extent where it is feasible, information from other sources.

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An Ontology of Classification Criteria for Functional Taxonomies

Volume 9: 23rd International Conference on Design Theory and Methodology; 16th Design for Manufacturing and the Life Cycle Conference ◽

10.1115/detc2011-48125 ◽

2011 ◽

Cited By ~ 2

Author(s):

Yoshinobu Kitamura ◽

Sho Segawa ◽

Munehiko Sasajima ◽

Riichiro Mizoguchi

Keyword(s):

Classification Criteria ◽

Search System ◽

Functional Basis ◽

Functional Models ◽

Document Search ◽

Classification Structure

In order to facilitate sharing of functional models, some functional taxonomies each of which provides a set of verbs for representing generic functions (called functional terms here) have been developed. Their examples include some sets of generally valid functions in the book written by Pahl and Beitz, Functional Basis (FB) developed by Hirtz et al. and FOCUS/Tx developed by the authors of this paper. The issue addressed in this paper is the implicitness of the criteria of classification of functional terms in those taxonomies and thus unclearness of their definitions. This paper proposes an ontology of logical criteria for classification of functional terms (called FOCUS/View). Using the classes defined in FOCUS/View, the classification criteria of a functional taxonomy can be explicitly represented. These classes have been conceptualized based on deep investigation on FB and FOCUS/Tx. The benefits of the proposed FOCUS/View ontology include: (1) users of a taxonomy can easily understand differences of similar terms and select an appropriate term out of them, (2) a developer of a taxonomy can check its logical classification structure and then improve its logical clearness, and (3) we can compare different taxonomies and establish more reliable mappings between their terms for interoperability of functional models. In this paper, as a demonstration of the benefit (1), the classification criteria of FB, FOCUS/Tx, Krumhauer’s and Roth’s generally valid functions are explicitly presented using FOCUS/View. As a demonstration of the benefit (2), some logically problematic classification structures of FB and the Krumhauer’s functions are discussed and modified for the logical clearness. For the benefit (3), this paper demonstrates the mappings between FB and FOCUS/Tx and a semantic interoperable document search system based on these mappings.

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Analysis of approaches for identification the ontological model components of the searching system

Technology audit and production reserves ◽

10.15587/2706-5448.2021.243587 ◽

2021 ◽

Vol 6 (2(62)) ◽

pp. 10-14

Author(s):

Victoria Kostenko ◽

Olga Bulgakova ◽

Barbara Stelyuk

Keyword(s):

Intelligent System ◽

Subject Area ◽

System Model ◽

Search Process ◽

Search System ◽

Automated Processing ◽

Ontological Model ◽

Model Components ◽

Functional Components

The object of research is the components of an intelligent system for searching information in electronic repositories of unstructured documents, which based on the ontologies of the subject area. One of the most problematic areas is the processing and analysis of information contained in electronic repositories of unstructured documents. There are considered the some possibilities of increasing the efficiency of information processing. In the course of the study, using the method in which ontologies comprise sets of terms presented in it. In addition, the ontological set also includes information about subject areas, areas of definitions, etc. There are obtained the sequence of defining the conceptual representation of an intelligent search system based on ontological components. There are presented the composition of the ontological system model. There are described the main functional components of the system for intelligent processing of information about electronic documents. The proposed approaches for identifying the component components of the ontological model of the search system have a lot of features. This is due to the fact that the search system model must have a set of properties: integrity, coherence, organization, integrability, mobility. Ontologies which representing the basic concepts of the domain in a format available for automated processing in the form of a hierarchy of classes and relationships between them allow automated processing. The using of ontologies in the role of an intermediary between the user and the search process, between the search process and the search system that can facilitate the solution of a number of complex and non-standard tasks of information retrieval (for example, the automation of the search process). It is possible to solve the problem of knowledge representation for displaying information relevant to user requests, as well as to solve the problems of filtering and classifying information. Compared to similar well-known search systems, this provides such advantages as creating a common terminology for software agents and users, protecting the information store from total overflow and errors, as well as solving the issue of information aging.

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