Table of contentsThe architecture of the premises was developed by the consortium based on the following processes:As mentioned above, the components most important are: Ontology component The main objectives of this component were: According to the scope of the ontology, the ontology can be classified as follows: The ontology component is composed of the following modules: The objective of this research is to present a multi-agent middleware that provides semantically activated information. for SME knowledge workers. This middleware is based on the European E! project. 9770 PREMISES [1]. Companies and universities from two EU countries (Romania and Spain) are working to help small and medium-sized businesses better exploit their information spaces. Say no to plagiarism. Get a tailor-made essay on “Why violent video games should not be banned”? Get an original essay An important feature of PrEmISES is its ability to combine with existing data systems used by small and medium-sized businesses and thus improve with a semantic layer/engine. The engine is used to search organizational documents within companies and make searches more precise through the use of ontologies. The main objective is to help companies better exploit their available information space. The engine is semantically enriched, meaning it searches for specified words/queries as well as semantically related concepts. In this article, we present the PrEmISES architecture. We will present the main components and the main steps that were followed in order to develop the ontologies that were used for the ontology component. The objective of this research is to present a product, named PrEmISES, which is used to help SMEs around the world to exploit their information space. Nowadays, every large company has its own information management services and dedicated software used for these purposes. These software framework implementations are not suitable for the needs of small and medium-sized businesses, due to their lower budget and fewer employees. The framework we are developing is capable of combining with existing data systems already used in SMEs. Through the use of ontologies, the implementation of this framework adds semantically enabled information integration and also provides employees with an integrated work process, context-sensitive information services. In this article, we explain the high-level architecture of the product, the benefits of the automated ontology generation process, and how we use these ontologies in semantic search. PrEmISES was selected among hundreds of innovation projects by Eureka Eurostars and has the support of the national funding agencies CDTI (Spain) and ANCS (Romania). The PrEmISES project is funded by the Eurostars program and will last 24 months with a total budget of €1.3M. The project is led by Anova IT Consulting. The objective of the project is to help SMEs better exploit their information space. The project is developed by a consortium formed by members (from the industrial and academic sector) of four entities from Romania and Spain. PrEmISES is a market-oriented R&D project that will prototype an intelligent middleware solution to support SME knowledge workers in their joint tasks. Our software product can provide: technologies for automatic knowledge structuring that do not require redundancy of huge sets of information a multi-agent system for user profilingsemantic provision of formalized knowledge of the company to employees (not only search and retrieval, but also logic- (reasoning based on user profiling). In terms of market analysis, a specific category of target customers has been identified: mid-sized knowledge companies that want to improve their overall business PrEmISES will address current market gaps. Market currently offers several business instruments to enable knowledge management, such as knowledge management systems, knowledge management systems. database management, technologies for information repository structures, data warehouses and intranet and extranet knowledge portals However, these technological solutions do not take into account that KM practices in SMEs are. more consistent with apprenticeship-based learning than formal training typical of large companies. This means that, to be effective for SMEs, a knowledge management system must be able to provide users with context-relevant knowledge about the business (constant estimation of workers' context with a business-centric view of the context). 'activity). In other words, PrEmISES is marketed internationally. as a software license. First of all, it was developed for Spanish, Portuguese and Romanian mid-sized companies wanting to improve their business performance through knowledge management solutions. This solution endows the standard enriched information processing mechanisms of existing systems with a semantically enabled information integration layer. On the client side, it is implemented through a cross-platform user interface focused on high usability and smooth workflow integration. Providing this layer of information follows the SaaS software delivery model. The objective of the PrEmISES project is to develop a system capable of helping SMEs to better exploit their available information spaces. Due to the number of employees willing to acquire knowledge increasing rapidly, it is also more distributed, it is generated faster and in greater quantities. In the next section we present some general data about premises and their advantages compared to other knowledge management systems. The second section describes the main functionalities and high-level architecture of the premises. Our software is used in technical areas such as processing, information system, knowledge management, process management, computer technology and telecommunications. The framework is marketed internationally as a software license in the field of computer software and integrated software solutions. Most of the existing frameworks available in the market take turns through huge data sets in order to identify what is important. SMEs process small or medium data sets. The advantage of PrEmISES is its ability to work with medium or even small datasets. PrEmISES represents an innovative framework in the field of knowledge management solutions [4, 5, 6]. PrEmISES is marketed internationally as a software license. It is initially aimed at medium-sized Spanish, Portuguese and Romanian companies wishing to improve their business performance through knowledge management solutions. In other words, PrEmISES is an affordable knowledge management solution adapted to the real needs of European SMEs. Our software product provides: technologies for structuringautomatic knowledge that does not require the redundancy of huge sets of information; a multi-agent system for user profiling; semantic delivery of formalized knowledge from the company to employees (not only search and retrieval, but also logical reasoning powered by user profiling). Unlike large organizations with dedicated information management departments, SMEs face obstacles when trying to leverage their information resources and perform sustained knowledge management (KM). Current solutions on the market are not adapted to the needs of SMEs who wish to exploit their knowledge without major financial and time-consuming efforts [10]. PrEmISES addresses this market gap and helps SMEs improve their business performance. In [x], we presented quantitative research to determine the functional and non-functional requirements of the PrEmISES search engine. In this research, the most important characteristics of the premises were highlighted, according to a survey carried out with 60 people of different ages and genders. We took these opinions into account when we began developing Premises. In other words, Premises was built as an easy-to-use framework, with a friendly user interface and capable of returning relevant results in a short time. Furthermore, based on the needs of our customers, we have developed our framework taking into account the implementation of high security features and the possibility of using the premises as portable software capable of running on many security systems. exploitation. In [2] a similar framework was presented for the medical domain. The article presents a digital library creation based on ontologies. Through the use of ontologies, the mentioned framework helps patients select articles relevant to their condition. The framework creates a personalized digital library with filtered medical knowledge. The results and benefits are presented in this article using asthma as an example. According to [x] Premises is intended to be a low-budget software with high-accuracy results thanks to its ontological component. In the same article, the high-level architecture of the project was presented, focusing on the process of developing the domain ontology used by the ontology. The architecture of the premises was developed by the consortium based on the following processes: Initial Process Scanning (for an in-depth understanding of small and medium-sized business realities) Analysis of the social subsystem Analysis of the technical subsystem Analyzes Interpretation Design of the solution Implementation. As mentioned above, the most important components are: Search and administration system component Analysis and indexing system component Ontology component Each of these three components was built with a complex design and each of he is responsible for a specific task in the overall architecture. Due to their complexity, components were developed by constructing and integrating numerous subcomponents. Ontology component The main objectives of this component were: Generation of domain ontologies Develop queries based on the developed ontologies. An ontology defines a common vocabulary for researchers who need to share information in a field. It includes machine-interpretable definitions of the domain's core concepts and the relationships between them. The goal of creating ontologies is also the reuse of knowledge. Once the ontology has been created for a domain, it must be (at.