A Service Search Engine for the Industrial Digital Ecosystems

Abstract

Abstract-Digital Ecosystem (DE) is comprised of heterogeneous and distributed species which can play the dual role of service provider and service requester. Today DE lacks semantic search support, which means that it cannot provide a reliable and trustworthy link between service providers and service requesters. To solve this issue, we design a conceptual framework of a service-ontology-based semantic service search engine. Apart from the function of service search with a novel search model, this framework also provides a quality-of-services (QoS)-based service evaluation and ranking methodology. To evaluate the feasibility of our framework, we implement a prototype in the transport service domain, and compare the performance of the search model with three traditional information retrieval models. The conclusion to this evaluation and suggestions for future works are provided in the final section.Index Terms-Digital Ecosystems, QoS ranking, semantic service search, service evaluation I. INTRODUCTION IGITAL Ecosystem (DE) is defined as "an open, loosely coupled, domain-clustered, demand-driven, selforganizing and agent-based environment, in which eachspecies is proactive and responsive for its own benefit and profit" [6], which is a neoteric terminology whose emergence is a result of the natural existence of the business ecosystem, along with the evolution of business network and information technology. The goal of DE is to improve the efficiency of the communication between internal agents, and to structuralize the existing business ecosystem [18]. The contemporary DE researches focus on theoretical study and application development [9]. DE is composed of two basic elements: species and environments [6]. Species are mainly categorized into three types: biological species, economic species and digital species. Species can play two different roles in DE, as a service requester (client) that needs services, and as a service provider (server) that provides services. Moreover, a given species can be both a service requester and a service

Research on Proposals and Trends in the Architectures of Semantic Search Engines: A Systematic Literature Review

“…To measure whether those proposals represent an improvement, some studies present comparison results or performance benchmarks as is the case of the work of Amanqui et al [10], Thangaraj and Sujatha [22] or Dong et al [29]. However, as the purpose of this systematic review is not related to that kind of experiments, this can be considered as a good starting point for a future work.…”

“…• 1 study for each of the following fields: military [7], distance education [8], multimedia content [9], biology [10], biomechanics [11], audiovisual content repositories [12], source code control systems [13], culture [14], education [17], web services [21], reporting [20], Russian museums [27], environment [25], transport services [29], academic library [30], innovation processes [32], and government to government cooperation [33]. Regarding the problems to be solved by the proposed semantic search engines, it can be mentioned, as the application fields, they are diverse in nature and they could not be categorized without discarding important details from them.…”

“…WordNet), as mentioned by Kerschberg et al [31], at the end they resort to use domain ontologies in order to represent better user concepts, or to represent several domains within the same engine, as mentioned by [14]. b Ontology roles are diverse, but most of the selected architecture use them as a way to classify and express relationships among key concepts -that is the case of [29], [28], [31] and [32]. Two cases are special: in [13], Durão et al mention that the domain ontology is used for reasoning processing, in order to identify relevant source code documents and suggest related terms to improve future user queries.…”

Real-Time Traffic over the Cognitive Packet Network

“…Applications such as remote security [3] and the needs of cyber-physical systems [4] are also pushing the bounds in this direction. Although the convergence of network services enables the transport of real-time, video, voice and data traffic over IP networks which were originally designed to offer best-effort services for non-real-time data traffic, our IP networks are not well designed to guarantee Quality of Service (QoS) for such diverse communications [5], including real-time (RTIP), voice (VOIP) [6] and web based search, video and multimedia [7][8][9][10]. Real-time constraints [11] could be well assured in dedicated circuit-switched connections, but are difficult to cover with IP networks [12].…”

Service Models for Cloud Computing: Search as a Service (SaaS)

“…In paper [12] authors investigate the vast stream of the state of the art in Everything as a Service (XaaS) and identify approaches for migrating applications to the cloud and exposing them as services. A conceptual framework of a service-ontology-based semantic service search engine was designed for Digital ecosystem (DE) by the authors of [13]. Authors of [14] discuss three searching encrypted data approaches that can be used in large cloud storage environment supported access control: IPU (Index-Per-User), CSI (Central-Single-Index) approach, and RBAC (Role-Based-Access-Control) approach.…”