Abstract Announcement for International Journal on Semantic Web and Information Systems (IJSWIS) 12(1)

Editor-in-Chief: Miltiadis D. Lytras (The American College of Greece, Greece)

ARTICLE 1

Semantic Web and Geospatial Unique Features Based Geospatial Data Integration

Ying Zhang (School of Control and Computer Engineering, North China Electric Power University, Beijing, China), Chaopeng Li (School of Control and Computer Engineering, North China Electric Power University, Beijing, China), Na Chen (Hebei Vocational College of Rail Transportation, Hebei, China), Shaowen Liu (School of Control and Computer Engineering, North China Electric Power University, Beijing, China), Liming Du (School of Control and Computer Engineering, North China Electric Power University, Beijing, China), Zhuxiao Wang (School of Control and Computer Engineering, North China Electric Power University, Beijing, China), Miaomiao Ma (School of Control and Computer Engineering, North China Electric Power University, Beijing, China)

Since large amount of geospatial data are produced by various sources and stored in incompatible formats, geospatial data integration is difficult because of the shortage of semantics. Despite standardised data format and data access protocols, such as Web Feature Service (WFS), can enable end-users with access to heterogeneous data stored in different formats from various sources, it is still time-consuming and ineffective due to the lack of semantics. To solve this problem, a prototype to implement the geospatial data integration is proposed by addressing the following four problems, i.e., geospatial data retrieving, modeling, linking and integrating. First, we provide a uniform integration paradigm for users to retrieve geospatial data. Then, we align the retrieved geospatial data in the modeling process to eliminate heterogeneity with the help of Karma. Our main contribution focuses on addressing the third problem. Previous work has been done by defining a set of semantic rules for performing the linking process. However, the geospatial data has some specific geospatial relationships, which is significant for linking but cannot be solved by the Semantic Web techniques directly. We take advantage of such unique features about geospatial data to implement the linking process. In addition, the previous work will meet a complicated problem when the geospatial data sources are in different languages. In contrast, our proposed linking algorithms are endowed with translation function, which can save the translating cost among all the geospatial sources with different languages. Finally, the geospatial data is integrated by eliminating data redundancy and combining the complementary properties from the linked records. We mainly adopt four kinds of geospatial data sources, namely, OpenStreetMap(OSM), Wikmapia, USGS and EPA, to evaluate the performance of the proposed approach. The experimental results illustrate that the proposed linking method can get high performance in generating the matched candidate record pairs in terms of Reduction Ratio(RR), Pairs Completeness(PC), Pairs Quality(PQ) and F-score. The integrating results denote that each data source can get much Complementary Completeness(CC) and Increased Completeness(IC).

To obtain a copy of the entire article, click on the link below.
www.igi-global.com/article/semantic-web-and-geospatial-unique-features-based-geospatial-data-integration/149200

To read a PDF sample of this article, click on the link below.
www.igi-global.com/viewtitlesample.aspx?id=149200&isxn=9781466689527

ARTICLE 2

Discovery Mechanism for Learning Semantic Web Service

Chaker Ben Mahmoud (IResCoMath, Gabes, Tunisia), Ikbel Azaiez (IResCoMath, Gabes, Tunisia), Fathia Bettahar (IResCoMath, Gabes, Tunisia), Faiez Gargouri (ISIMSfax, Sfax, Tunisia)

Nowadays, e-learning offers advantages over traditional learning in terms of independence. Moreover, adaptive e-learning systems take into account learner's profile, such as learning style and level of knowledge, in order to provide the most appropriate learning object. However, the essential challenge is finding and identifying the learning objects from a big corpus while ensuring their independence in different contexts. To overcome these problems of interoperability and accessibility of learning objects, the authors proposed to define a learning semantic Web service for each learning object. This service is an extension of OWLS that encompasses the description of the learning intention and the use of context that characterize a learning object. In this paper, the authors propose a new discovery mechanism based on learning intention and context use guided by the learner's intention and profile in order to offer a personalized learning path. Experimental results prove the efficiency of the proposed approach and approve its notable contribution.

To obtain a copy of the entire article, click on the link below.
www.igi-global.com/article/discovery-mechanism-for-learning-semantic-web-service/149201

To read a PDF sample of this article, click on the link below.
www.igi-global.com/viewtitlesample.aspx?id=149201&isxn=9781466689527

ARTICLE 3

Geocoding Tweets Approach Based on Conceptual Representations in the Context of the Knowledge Society

Imelda Escamilla (CIC, Instituto Politécnico Nacional, Mexico City, Mexico), Miguel Torres-Ruiz (CIC, Instituto Politécnico Nacional, Mexico City, Mexico), Marco Moreno-Ibarra (CIC, Instituto Politécnico Nacional, Mexico City, Mexico), Rolando Quintero (CIC, Instituto Politécnico Nacional, Mexico City, Mexico), Giovanni Guzmán (CIC, Instituto Politécnico Nacional, Mexico City, Mexico), Vladimir Luna-Soto (CIC, Instituto Politécnico Nacional, Mexico City, Mexico)

In this paper, an approach to geocode tweets published in Spanish is proposed. The tweets are related to traffic events within an urban context of the Mexico City. They are generated by a particular phenomenon for knowing the behavior of the involved geographic entities. In order to disambiguate and verify the consistency of information, an application ontology was defined. Thus, the core goal is to identify location as well as spatial relationships between entities presented in the events, using semantic and spatial analysis of the collected dataset. In consequence, a visualization method for presenting the results was also proposed. The paper describes the methodology for enabling the discovery of spatial patterns within traffic tweets and provides useful information to make timely decisions and contribute in the context of Knowledge Society.

To obtain a copy of the entire article, click on the link below.
www.igi-global.com/article/geocoding-tweets-approach-based-on-conceptual-representations-in-the-context-of-the-knowledge-society/149202

To read a PDF sample of this article, click on the link below.
www.igi-global.com/viewtitlesample.aspx?id=149202&isxn=9781466689527

ARTICLE 4

Using a Dialogue Manager to Improve Semantic Web Search

Dora Melo (Coimbra Business School - ISCAC, IPC, Coimbra, Portugal), Irene Pimenta Rodrigues (Department of Informatics, University of Évora, Évora, Portugal), Vitor Beires Nogueira (Department of Informatics, University of Évora, Évora, Portugal)

Question Answering systems that resort to the Semantic Web as a knowledge base can go well beyond the usual matching words in documents and, preferably, find a precise answer, without requiring user help to interpret the documents returned. In this paper, the authors introduce a Dialogue Manager that, through the analysis of the question and the type of expected answer, provides accurate answers to the questions posed in Natural Language. The Dialogue Manager not only represents the semantics of the questions, but also represents the structure of the discourse, including the user intentions and the questions context, adding the ability to deal with multiple answers and providing justified answers. The authors' system performance is evaluated by comparing with similar question answering systems. Although the test suite is slight dimension, the results obtained are very promising.

To obtain a copy of the entire article, click on the link below.
www.igi-global.com/article/using-a-dialogue-manager-to-improve-semantic-web-search/149203

To read a PDF sample of this article, click on the link below.
www.igi-global.com/viewtitlesample.aspx?id=149203&isxn=9781466689527

CALL FOR PAPERS

Mission of IJSWIS:

The International Journal on Semantic Web and Information Systems (IJSWIS) is an archival journal that publishes high quality original manuscripts in all aspects of Semantic Web that are relevant to computer science and information systems communities. IJSWIS is an open forum aiming to cultivate the Semantic Web vision within the information systems research community. The main focus is on information systems discipline and working towards the delivery of the main implications that the Semantic Web brings to information systems and the information/knowledge society.

Indices of IJSWIS:

• ACM Digital Library
• Bacon's Media Directory
• Burrelle's Media Directory
• Cabell's Directories
• Compendex (Elsevier Engineering Index)
• CSA Illumina
• Current Contents®/Engineering, Computing, & Technology
• DBLP
• DEST Register of Refereed Journals
• Gale Directory of Publications & Broadcast Media
• GetCited
• Google Scholar
• INSPEC
• JournalTOCs
• Library & Information Science Abstracts (LISA)
• MediaFinder
• Norwegian Social Science Data Services (NSD)
• SCOPUS
• The Index of Information Systems Journals
• The Standard Periodical Directory
• UGC-CARE List (India)
• Ulrich's Periodicals Directory
• Web of Science
• Web of Science Science Citation Index Expanded (SCIE)

Coverage of IJSWIS:

The journal’s area of interest is a superset of topics covered in conferences such as International Semantic Web Conference, European Semantic Web Conference, Asian Semantic Web Conference, the World Wide Web—Semantic Web track, and others.

Topics to be discussed in the journal include (but are not limited to) the following:

• Beyond Semantic Web (e.g., extending meaning with perception and experience)
• Enterprise application integration
• From e-government to e-democracy
• Integration with other disciplines
• Intelligent systems
• Metadata-driven (bottom-up) versus ontology-driven (top-down) SW development
• New Semantic Web enabled business models
• New Semantic Web enabled information systems
• New Semantic Web enabled tools for the citizen/ learner/ organization/ business
• Ontologies, folksonomies, and associated knowledge representation issues
• Real world applications towards the development of the Knowledge society
• Semantic enabled business intelligence
• Semantic Web applications on the Web, enterprises, desktops, personal and mobile devices, e-science and e-government applications, and associated issues of provenance, trust, privacy, security, quality, scalability, and performance
• Semantic Web data management
• Semantic Web issues, challenges, and implications in each of the IS research streams
• Semantics and human computer interfaces including visualization and mashups
• Semantics in business processes and distributed computing and services
• Social Semantic Web and people Web
• Standards

Interested authors should consult the journal's manuscript submission guidelines www.igi-global.com/calls-for-papers/international-journal-semantic-web-information/1092