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1 – 10 of over 1000Christos Tatsiopoulos and Basilis Boutsinas
The paper aims to present an approach for services in the domain of tourism based on a software application in the area of ontology engineering, showing a methodology for…
Abstract
Purpose
The paper aims to present an approach for services in the domain of tourism based on a software application in the area of ontology engineering, showing a methodology for intelligent knowledge‐based P2P networks creation, in the tourism knowledge domain, given that, potential tourists share and organize their experiences, interests and knowledge. Using the proposed software application, they automatically exchange their knowledge, with an intelligent and transparent way, with other users that have the same or similar interests and make use of it.
Design/methodology/approach
The approach followed was categorizing tourism‐related interests and services into ontologies (system and user), then comparing them, using intelligent algorithms, suggesting new, unknown to the user, interests. The data were evaluated by experts in order to provide a guide for correct (according to the expert) interestingness of profile concepts.
Findings
The paper presents the outcomes of the software used, running on mobile devices, showing the connection for them, among user knowledge profiles and tourism services. It has been found that the return results (concepts) are of high interestingness to the user.
Research limitations/implications
Experiments have been performed with one central ontology, used as reference and two user ontologies at the same time. The authors would suggest more experimentation, with more users connected concurrently.
Practical implications
Of high practical importance is the creation of intelligent social networking processes and user communities based on interests for further e‐commerce activities, based on a semantic framework.
Originality/value
The paper fulfils the need for intelligent interaction and distribution of knowledge and content to users in an autonomous way, anywhere.
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Patience Usoro Usip, Edward N. Udo and Ini J. Umoeka
The purpose of this paper is to apply the earlier enhanced personal profile ontology (e-PPO) developed by the authors as a case study for the appraisal of the lecturers in the…
Abstract
Purpose
The purpose of this paper is to apply the earlier enhanced personal profile ontology (e-PPO) developed by the authors as a case study for the appraisal of the lecturers in the department of computer science, University of Uyo, Uyo for the purposes of promotions. The developed e-PPO was a sample smart résumé for the selection of the best among three personnel using linguistic variables and formal rules representing the combination of the criteria and subcriteria was illustrated which was used to allocate competent personnel for software requirement engineering tasks. The need for the use of the smart resume for appraisal purposes was pointed out in the conference paper, calling for the applicant’s data to be inputted into the enhanced personal profile ontology (e-PPO) for personnel appraisa.
Design/methodology/approach
Appraisal is a regular review of employees’ performances and their overall contribution to the organization they are working for. The availability of a web application for personnel appraisal requires PPO which includes both static and dynamic features. Personal profile is often modified for several purposes calling for augmentation and annotation when needs arise. Resume is one resulting extract from personal profile and often contain slightly different information based on needs. The urgent preparation of resume may introduce bias and incorrect information for the sole aim of projecting the personnel as being qualified for the available job. Religious and gender biases may sometimes be observed during appointments of new personnel, which may not be the case during appraisals for promotions or reassignment of tasks because such biases become insignificant given the fact that job targets and the skills needed are already set and the appraisals passes through several phases that are not determined by a single individual. This work therefore applied the earlier developed e-PPO for appraisal of the academic staff of the department of computer science, university of Uyo, Uyo, Nigeria. A mixed approach of existing ontologies like Methontology and Neon have been followed in the creation of the e-PPO, which is a constraint-based semantic data model tested using Protégé inbuilt reasoner with its updated plugins. Upon application of e-PPO on personnel appraisals, promotion and selection of employee for specific assignments in any organization is possible using the smart resume.
Findings
The use of the smart resume reduces the numerous task that would have been taken up by the human resource team, thereby reducing the processing time for the appraisals. The appraisal task is done void of biases of any kind such as gender and religion.
Originality/value
This work is an extension of the original work done by the authors.
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Ronald Ojino, Luisa Mich and Nerey Mvungi
The increasingly competitive hotel industry and emerging customer trends where guests are more discerning and want a personalized experience has led to the need of innovative…
Abstract
Purpose
The increasingly competitive hotel industry and emerging customer trends where guests are more discerning and want a personalized experience has led to the need of innovative applications. Personalization is much more important for hotels, especially now in the post-COVID lockdown era, as it challenges their business model. However, personalization is difficult to design and realize due to the variety of factors and requirements to be considered. Differences are both in the offer (hotels and their rooms) and demand (customers’ profiles and needs) in the accommodation domain. As for the implementation, critical issues are in hardware-dependent and vendor-specific Internet of Things devices which are difficult to program. Additionally, there is complexity in realizing applications that consider varying customer needs and context via existing personalization options. This paper aims to propose an ontological framework to enhance the capabilities of hotels in offering their accommodation and personalization options based on a guest’s characteristics, activities and needs.
Design/methodology/approach
A research approach combining both quantitative and qualitative methods was used to develop a hotel room personalization framework. The core of the framework is a hotel room ontology (HoROnt) that supports well-defined machine-readable descriptions of hotel rooms and guest profiles. Hotel guest profiles are modeled via logical rules into an inference engine exploiting reasoning functionalities used to recommend hotel room services and features.
Findings
Both the ontology and the inference engine module have been validated with promising results which demonstrate high accuracy. The framework leverages user characteristics, and dynamic contextual data to satisfy guests’ needs for personalized service provision. The semantic rules provide recommendations to both new and returning guests, thereby also addressing the cold start issue.
Originality/value
This paper extends HoROnt in two ways, to be able to add: instances of the concepts (room characteristics and services; guest profiles), i.e. to create a knowledge base, and logical rules into an inference engine, to model guests’ profiles and to be used to offer personalized hotel rooms. Thanks to the standards adopted to implement personalization, this framework can be integrated into existing reservation systems. It can also be adapted for any type of accommodation since it is broad-based and personalizes varying features and amenities in the rooms.
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Sanju Tiwari, Fernando Ortiz-Rodriguez and Boris Villazon
Shu‐Chuan Liao, Kuo‐Fong Kao, I‐En Liao, Hui‐Lin Chen and Shu‐O Huang
As library collections increase rapidly, personalized recommender systems have become a very important service for library patrons. The purpose of this paper is to design and…
Abstract
Purpose
As library collections increase rapidly, personalized recommender systems have become a very important service for library patrons. The purpose of this paper is to design and implement a personal ontology recommender (PORE) system by building personal ontologies based on patrons' borrowing records.
Design/methodology/approach
In the PORE system, the traditional cataloging scheme, classification for Chinese libraries, is used as the reference ontology. This reference ontology is transformed to a unique personal ontology for each user based on the mining results from library borrowing records of that user.
Findings
A personal ontology represents a unique user interest on specific subjects. The personal ontology can be used to filter out unsuitable recommendations based only on a keyword matching method. Besides, the recommended books can be organized into the personal ontology, and provide the patron with a user‐friendly interface to access library collections.
Research limitations/implications
The PORE system is currently implemented for Chinese collections. From this paper builds a new version to support English collections by adopting the Library of Congress Classification as the reference ontology.
Originality/value
This paper represents a practical method of building a user's personal ontology and explains the functional use of ontology knowledge.
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Seeking and retrieving information is an essential aspect of knowledge workers' activities during problem‐solving and decision‐making tasks. In recent years, user‐oriented…
Abstract
Purpose
Seeking and retrieving information is an essential aspect of knowledge workers' activities during problem‐solving and decision‐making tasks. In recent years, user‐oriented Information Seeking (IS) research methods rooted in the social sciences have been integrated with Information Retrieval (IR) research approaches based on computer science to capitalize on the strengths of each field. Given this background, the objective is to develop a topic‐needs variation determination technique based on the observations of IS&R theories.
Design/methodology/approach
In this study, implicit and explicit methods for identifying users' evolving topic‐needs are proposed. Knowledge‐intensive tasks performed by academic researchers are used to evaluate the efficacy of the proposed methods. The paper conducted two sets of experiments to demonstrate and verify the importance of determining changes in topic‐needs during the IS&R process.
Findings
The results in terms of precision and discounted cumulated gain (DCG) values show that the proposed Stage‐Topic_W (G,S) and Stage‐Topic‐Interaction methods can retrieve relevant document sets for users engaged in long‐term tasks more efficiently and effectively than traditional methods.
Practical implications
The improved precision of the proposed methods means that they can retrieve more relevant documents for the searcher. Accordingly, the results of this research have implications for enhancing the search function in enterprise content management (ECM) applications to support the execution of projects/tasks by professionals and facilitate effective ECM.
Originality/value
The model observes a user's search behavior pattern to determine the personal factors (e.g. changes in the user's cognitive status), and content factors (e.g. changes in topic‐needs) simultaneously. The objective is to capture changes in the user's information needs precisely so that evolving information needs can be satisfied in a timely manner.
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John Davies, Alistair Duke, Nick Kings, Dunja Mladenić, Kalina Bontcheva, Miha Grčar, Richard Benjamins, Jesus Contreras, Mercedes Blazquez Civico and Tim Glover
The paper shows how access to knowledge can be enhanced by using a set of innovative approaches and technologies based on the semantic web.
Abstract
Purpose
The paper shows how access to knowledge can be enhanced by using a set of innovative approaches and technologies based on the semantic web.
Design/methodology/approach
Emerging trends in knowledge access are considered followed by a description of how ontologies and semantics can contribute. A set of tools is then presented which is based on semantic web technology. For each of these tools a detailed description of the approach is given together with an analysis of related and future work as appropriate.
Findings
The tools presented are at the prototype stage but can already show how knowledge access can be improved by allowing users to more precisely express what they are looking for and by presenting to them in a form that is appropriate to their current context.
Research limitations/implications
The tools show promising results in improving access to knowledge which will be further evaluated within a practical setting. The tools will be integrated and trialled as part of case studies within the SEKT project. This will allow their usability and practical applicability to be measured.
Practical implications
Ontologies as a form of knowledge representation are increasing in importance. Knowledge management, and in particular knowledge access, will benefit from their widespread acceptance. The use of open standards and compatible tools in this area will be important to support interoperability and widespread access to disparate knowledge repositories.
Originality/value
The paper presents research in an emerging but increasingly important field, i.e. semantic web‐based knowledge technology. It describes how this technology can satisfy the demand for improved knowledge access, including providing knowledge delivery to users at the right time and in the correct form.
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Núria Ferran, Enric Mor and Julià Minguillón
To describe a browsing and searching personalization system for digital libraries based on the use of ontologies for describing the relationships between all the elements which…
Abstract
Purpose
To describe a browsing and searching personalization system for digital libraries based on the use of ontologies for describing the relationships between all the elements which take part in a digital library scenario of use.
Design/methodology/approach
Identification of all the desired functionalities and requirements that are necessary to fully integrate the use of a digital library in an e‐learning environment, and the basic elements that are used to build the ontology that describes such scenario.
Findings
The elements that determine the functionalities of the desired personalization system: first, the user's profile, including navigational history and user preferences; and second, the information collected from the navigational behavior of the digital library users.
Research limitations/implications
The ontology is not complete. In fact, the ontology in itself will evolve with the new apparition of desired functionalities and requirements of the personalization system.
Practical implications
Such a personalization system will be very helpful to the users of a digital library to improve their experience of use.
Originality/value
The use of ontologies promotes the integration of new services into existing ones, and the interoperability with other systems through the appropriate semantic web services. New system functionalities and requirements can be added by including the appropriate description into the ontology framework that defines the digital library scenario of use.
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Keywords
Emna Ben-Abdallah, Khouloud Boukadi, Mohamed Hammami and Mohamed Hedi Karray
The purpose of this paper is to analyze cloud reviews according to the end-user context and requirements.
Abstract
Purpose
The purpose of this paper is to analyze cloud reviews according to the end-user context and requirements.
Design/methodology/approach
propose a comprehensive knowledge base composed of interconnected Web Ontology Language, namely, modular ontology for cloud service opinion analysis (SOPA). The SOPA knowledge base will be the basis of context-aware cloud service analysis using consumers' reviews. Moreover, the authors provide a framework to evaluate cloud services based on consumers' reviews opinions.
Findings
The findings show that there is a positive impact of personalizing the cloud service analysis by considering the reviewers' contexts in the performance of the framework. The authors also proved that the SOPA-based framework outperforms the available cloud review sites in term of precision, recall and F-measure.
Research limitations/implications
Limited information has been provided in the semantic web literature about the relationships between the different domains and the details on how that can be used to evaluate cloud service through consumer reviews and latent opinions. Furthermore, existing approaches are lacking lightweight and modular mechanisms which can be utilized to effectively exploit information existing in social media.
Practical implications
The SOPA-based framework facilitates the opinion based service evaluation through a large number of consumer's reviews and assists the end-users in analyzing services as per their requirements and their own context.
Originality/value
The SOPA ontology is capable of representing the content of a product/service as well as its related opinions, which are extracted from the customer's reviews written in a specific context. Furthermore, the SOPA-based framework facilitates the opinion based service evaluation through a large number of consumer's reviews and assists the end-users in analyzing services as per their requirements and their own context.
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Tuan‐Dung Cao and Quang‐Minh Nguyen
The growth of online data and services on the Web have have led to the Web become an indispensable tool for the tourist industry. It is not denied that various approaches bring…
Abstract
Purpose
The growth of online data and services on the Web have have led to the Web become an indispensable tool for the tourist industry. It is not denied that various approaches bring benefits for visitors, in supporting their searching for tourist attractions, such as interesting places for the visit, eating or staying. However, like a coin has two sides, too much information would present a difficulty for people when planning their journeys. Generally, tourists usually have problems when trying to find satisfactory accommodation if references to nearby restaurants, sights or event locations are lacking. In addition, travelers suffer from the information overload when they look for information about potential destinations, events and related services. Providing relevant and up‐to‐date information for the tourists with different personal interests is still a challenging task for the tourist guide information systems. The purpose of this paper is to propose a semantic approach for searching tourist information and generating travel itinerary.
Design/methodology/approach
The paper focus on introducing an ontological model for representation of tourist resources as well as traveler's profile. Based on this model, smart user interfaces facilitating the semantic search have been implemented in the mobile travel guide application. In addition, the authors propose an algorithm for generating travel itinerary which combines semantic matching with ant colony optimization technique.
Findings
The Semantic Tourist informAtion Access and Recommending (STAAR) system, which has been implemented to promote the travel activity in Hanoi, reveals the advantages of the semantic approach in the development of smart application with ontology‐based, user‐friendly interface and high precision information search features. An experiment was conducted to show that the proposed algorithm generates travel itinerary relevant to both criteria of itinerary length and user interest.
Originality/value
This paper presents a novel algorithm for planning a travel itinerary that is optimized on the length as well as semantically matching the user interests.
Details