SWeMPs: A Semantic Web-enabled Multimedia Presentation System

The vision of the Semantic Web is to reduce manual discovery and usage of Web resources (documents and services) and to allow software agents to automatically identify these Web resources, integrate them and execute them for achieving the intended goals of the user. Such a composed Web service may be represented as a workflow, called service flow. Current studies of Web services are not sufficient for automatic composition. This paper presents different types of compositional knowledge required for Web service discovery and composition: syntactic, semantic and pragmatic knowledge. As a proof of concept, we have implemented our framework in a cardiovascular domain which requires advanced service discovery and composition across heterogeneous platforms of multiple organizations. Within this framework, we describe (1) How to represent the compositional knowledge, which plays a role in service discovery and composition, in DAML-S; (2) How heterogeneous medical services intemperate in a composed medical service flow. (3) To solve this knowledge level integration, we build on an ontology integration method called SEMIO (Semantic Interoperability).

This paper describes Passage+, a multimedia information presentation system for smartphones. The Passage+ gives one's path planning and route choice more diversities by displaying CG virtual objects, movies and images on the smartphone display. This work is achieved by using an Augmented Reality based on image recognition and GPS. Passage+ is an attempt to promote new discoveries by presenting alternative paths and entertaining routes. We adapted Passage+ to ACMMM's navigation system at Nara park, and collaborated with museums and cultural facilities nearby during the conference.

This paper describes DOGHED (Dialog Output Generator for HEterogeneous Devices), a multimodal generation component which is a part of a dialog system that supports adaptation of multimodal content based on user preferences and their current device. Existing dialog systems focus on generating output for a single device that might not be suitable when users access the system using different devices. Multimedia presentation systems can be built that support several device types. However, most content presentation and layout is done off-line and defined at the document level.

An abstract multimedia semantic model called the multimedia augmented transition network (MATN) model is proposed to model the RTSP-based (real-time streaming protocol) multimedia presentation systems. RTSP provides a set of methods to support the functionality of VCR-like remote control on the client side so that users are allowed to control playback of the streaming media. The MATN model is used to model RTSP actions as well as temporal relations and synchronization control of the media streams. The advantages of using the MATN model are its simplicity, effectiveness, and ease of modification. Furthermore, a formal definition of the MATN model and modeling of RTSP actions using the MATN model are presented in detail.

In this paper, we proposed a semantic integration framework of heterogeneous data based on domain ontology construction. The mechanism of domain ontology construction and mapping for heterogeneous data are studied, the purposes of which are to enhance the capability of dynamic adaptability and optimization of domain ontology construction, to resolve the problems of data heterogeneity in the processing of semantic information integration, and to promote the flexibility of the semantic integration process. Next, as to the semantic query, the theory and methods of specification or dynamic expansion of semantic query based on social annotation and ontology, and the duplicate removal and aggregating optimization of semantic query results are explored, the purpose of which is to realize the usability of semantic integration system and the credibility of the query results. Finally, an experimental prototype system of semantic integration of oil and gas exploration data based on domain ontology construction is constructed, the purpose of which is to verify the feasibility and correctness of the proposed theories and methods.KeywordsSemantic integrationOntology constructionDomain ontology

The exploding number of computational models produced by Systems Biologists over the last years is an invitation to structure and exploit this new wealth of information. Researchers would like to trace models relevant to specific scientific questions, to explore their biological content, to align and combine them, and to match them with experimental data. To automate these processes, it is essential to consider semantic annotations, which describe their biological meaning. As a prerequisite for a wide range of computational methods, we propose general and flexible similarity measures for Systems Biology models computed from semantic annotations. By using these measures and a large extensible ontology, we implement a platform that can retrieve, cluster, and align Systems Biology models and experimental data sets. At present, its major application is the search for relevant models in the BioModels Database, starting from initial models, data sets, or lists of biological concepts. Beyond similarity searches, the representation of models by semantic feature vectors may pave the way for visualisation, exploration, and statistical analysis of large collections of models and corresponding data.

Semantic Web research relies on a number of key methodologies such as knowledge representation languages or reasoning algorithms. As a research community, however, we could not progress based on these methodologies exclusively, but require tools and systems that realize our research results as key technologies for the Semantic Web. There would be no Linked Data without repositories to store them, no Semantic Web applications without application programming interfaces to load and edit ontologies, and no semanticsbased user interfaces without reasoners. Consequently, some of these technologies are research enablers in their own rights. Unfortunately, the developers of such software— often researchers themselves—rarely get appropriate credit for their work. Attempts to publish papers describing their software systems frequently provoke reviews and decision letters questioning their ’conceptual contribution’. This criticism may be correct, be it because the conceptual underpinnings have been published previously, or because there may in fact be little conceptual underpinnings apart from excellent software engineering. As a result, developers of key research enabling software often have considerable difficulties publishing their work in high-quality journals. In turn, paradoxically, researchers using these systems within their own work lack a primary citation source for the used software, and may have to settle for a URL, a short demo paper, or for a workshop contribution as citation. These outlets, however, can not provide the rigid quality criteria and visibility compared to journal publications. There is a need for publishing Tools and Systems papers in primary journals. The criteria applied to evaluate such papers have to differ from those applied to classical research articles. Unfortunately, these alternative evaluation criteria are often not spelled out in detail and therefore not consistently taken into account by reviewers and editors. As a consequence, the Semantic Web journal has adopted the Tools and Systems article as one of its regular paper types and provides crisp criteria for their evaluation: Reports on tools and systems—short papers describing mature Semantic Web related tools and systems. These reports should be brief and pointed, indicating clearly the capabilities of the described tool or system. It is strongly encouraged, that the described tools or systems are free, open, and accessible on the Web. If this is not possible, then they have to be made available to the reviewers. For commercial tools and systems, exceptions can be arranged through the editors. These submissions will be reviewed along the following dimensions: (1) Quality, importance, and impact of the described tool or system (convincing evidence must be provided). (2) Clarity, illustration, and readability of the describing paper, which shall convey to the reader both the capabilities and the limitations of the tool. The impact of the described tool or system is indeed decisive. Authors are asked to provide evidence for a substantial number of researchers using their software for research and applications. In exceptional cases, authors may also argue about the potential future impact of their software given that they can provide clear evidence for this. Clearly, software prototypes which were only implemented as proof-of-concepts, or software which is closely tied to a particular (externally funded) project, are out of scope. Originality or novelty—which are decisive dimensions for high-quality research articles—are not mentioned among the evalu-

Integrating Tuberculosis data in State of São Paulo over Semantic Web: a proof of concept

Motivation The Semantic Web is an endeavor aiming at enriching the existing Web with meta-data and data (and meta-data) processing so as to allow computer systems to actually reason with the data instead of merely rendering it. To this aim, it is necessary to be able to query and update data and meta-data. Existing Semantic Web query languages (like DQL) are special purpose, i.e. they are designed for querying and reasoning with special representations like OWL or RDF, but are not capable of processing generic Web data. On the other hand, the language Xcerpt [1] [2] presented in the poster is a general purpose language that can query any kind of XML data and at the same time, being based on logic programming, provides advanced reasoning capabilities. It could thus serve to implement a wide range of different reasoning formalisms. Likewise, the maintenance and evolution of data on the (Semantic) Web is necessary: the Web is a ”living organism” whose dynamic character requires languages for specifying its evolution. This requirement regards not only updating data from Web resources, but also the propagation of changes on the Web. These issues have not received much attention so far, existing update languages (like XML-RL Update Language [3]) and reactive languages [4] developed for XML data offer the possibility to execute just simple update operations and, moreover, important features needed for propagation of updates on the Web are still missing. The language XChange also presented in the poster builds upon the query language Xcerpt and provides advanced, Web-specific capabilities, such as propagation of changes on the Web (change) and event-based communications between Web sites (exchange).

Since online SemanticWeb applications are based on existing Web infrastructure, developing these applications could leverage experiences with and infrastructure of existing frameworks. These frameworks need to be extended to deal with the different nature of Semantic Web data. We introduce several extensions to the Ruby on Rails Web development framework to support Semantic Web application development, and demonstrate them by developing a SIOC explorer. This online application integrates information from heterogeneous communities, allowing users to explore this information and ¿nd relevant posts and topics across these sites without the need to manually visit the different sites.

Semantic Web Services are the key technology providing services for the users' convenience in the semantic web environment. Many companies in various fields are researching and developing languages for constructing Semantic Web Services such as DAML-S, WSDL, X-LANG and BPEL4WS. DAML-S is a method that accesses the existing Web Service method from a semantic web environment. However, the current Semantic Web Services Discovery System does not provide sufficient processing of quality factors (performance, accessibility, availability, reliability and transaction) nor reliable and accurate service results desired by the user through a UDDi search method. The present study analyzes the disadvantages of the current web services and suggests a Semantic Web Services Discovery System based on QoS applying semantic web technologies as a solution to the problems. The suggested system provides a UDDi and DAML-S based discovery engine to allow efficient web service discovery and composition.

Intelligent, autonomous agents are still not available in the Semantic Web at large scale today. Also the fields of Semantic Web and Multi-Agent Systems are not working together very closely although they could profit much from each other. Existing approaches merely use the Web as a transport layer and are not properly aligned to the architectural style of the Web. The Internet of Things, which would be very useful for agents to act upon Things in the real world, on the other side is very fragmented and not easily inter-operable. The Web of Things has emerged as an approach to use the (Semantic) Web as an application layer for Things. It is still unclear however, how agents on the WoT should look like. We propose that the Semantic Web is a suitable integration layer, both for agents and Things. We investigate how a Multi-Agent System in the Semantic Web of Things can be build by utilizing simple reflex agents and the communication paradigm of stigmergy. We map Things and artifacts to Web resources that are managed by a Web server and provide affordances to agents through hypermedia.KeywordsMulti-Agent SystemsWeb of ThingsSimple reflex agentsStigmergyRestHypermedia

Popularly used to distribute a variety of multimedia content items in today's Internet, HTTP-based web content delivery still suffers from various content delivery failures, including server failures [1], network failures [2] and routing failures [3]. Hindered by the expensive deployment cost, the conventional CDN can not deploy as many edge servers as possible to successfully deliver content items to all users under these delivery failures. In this paper, we propose a joint CDN and peer-assisted web content delivery framework to address the delivery failure problem. Different from conventional peer- assisted approaches for web content delivery, which mainly focus on alleviating the CDN servers' bandwidth load, we study how to use a browser-based peer-assisted scheme, namely WebRTC, to resolve content delivery failures. To this end, we carry out large-scale measurement studies on how users access and view webpages. Our measurement results demonstrate the challenges (e.g., peers stay on a webpage extremely short) that can not be directly solved by conventional P2P strategies, and some important webpage viewing patterns (e.g., predictability of users' webpage viewing time). Due to these unique characteristics, WebRTC peers open up new possibilities for helping the web content delivery, coming with the problem of how to utilize the dynamic resources efficiently. We formulate the peer selection that is the critical strategy in our framework, as an optimization problem, and design a heuristic algorithm based on the mea- surement insights to solve it. Our simulation experiments driven by the traces from Tencent QZone, one of the most popular social service platforms in China, demonstrate the effectiveness of our design: compared with non-peer-assisted strategy and random peer selection strategy, our design significantly improves the successful relay ratio of web content items under network failures, e.g., our design improves the content download ratio up to 60% even when users located in a particular region (e.g., city) where none can connect to the regional CDN server.

In recent times size of the data is increasing rapidly. Existing centralized system is not able to handle large dataset beyond a certain limit. So, we need ontology based approach in Semantic Web and distributed system. Ontology describes a formal specification of certain domain. Existing platform and servers are unable to process different types of data like structured, semi-structured and quasi-structured data to have an effective large number of ontologies in the web. We need the Hadoop platform to implement the incremental and distributed ontologies over and above existing ontologies in Semantic Web. RDF is the basic representation of ontologies and it is used to describe the knowledge in the Semantic Web. The challenges is using RDF include structure of RDF and the memory that is needed for the incremental comparison. MapReduce is one of the main Hadoop components are needed during the mapping of ontologies in the Semantic Web using RDF. In this paper better way of using incremental RDF in Semantic Web is discussed.

The aim of this research is to determine the impact of student access , according to the level system which is made of Semantic web applications in the teaching of the higher education programme. The research, was conducted in the second term of 2023-2024 academic year, in Ondokuz Mayis University, Vezirkopru Vocational School. In this research, the pretest / posttest experimental design within non-equivalent control group was used. Computer programming department first class daytime education were randomly assigned to the control group. Computer programming department first class evening education has been identified as the experimental group. Prepared training material was organised according to the Ondokuz Mayis University English course ydi 102 lecture curriculum. Both the material and pretest posttest were submitted to the approval of the English field teachers. Two level tests which are suitable for the curriculum has been prepared in accordance with the semantic web base system. One of them is going to be applied at the beginning of the term and the other is at the end of the every subject. The web sites, including the level of user had been recorded to the database system on the semantic web material. When the user enter the system, the web sites shown to them according to the user's level. The control group did not enter this semantic web system. They study only by the classical method. This study aims to develop a material in English education level system so that the users can access the web pages and on line resources effectively and easily to improve their learning by themselves. By the sharing and reuse of this produced material the users can reach the right resources easily and immediately. So that they can improve their levels.