SEMCL

To promote global knowledge sharing, one should solve the problem that knowledge representation in diverse natural languages restricts knowledge sharing effectively. Traditional knowledge sharing models are based on natural language processing (NLP) technologies. The ambiguity of natural language is a problem for NLP; however, semantic web technologies can circumvent the problem by enabling human authors to specify meaning in a computer-interpretable form. In this paper, the authors propose a cross-language semantic model (SEMCL) for knowledge sharing, which uses semantic web technologies to provide a potential solution to the problem of ambiguity. Also, this model can match knowledge descriptions in diverse languages. First, the methods used to support searches at the semantic predicate level are given, and the authors present a cross-language approach. Finally, an implementation of the model for the general engineering domain is discussed, and a scenario describing how the model implementation handles semantic cross-language knowledge sharing is given.

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Representing Virtual Communities for Advanced Services

Encyclopedia of Virtual Communities and Technologies ◽

10.4018/978-1-59140-563-4.ch077 ◽

2011 ◽

pp. 402-404

Author(s):

Miguel-Angel Sicilia ◽

Elena Sanchez-Alonso

Keyword(s):

Semantic Web ◽

Natural Language ◽

Social Relationships ◽

Language Processing ◽

Intelligent Agents ◽

Virtual Communities ◽

Virtual Community ◽

Community Members ◽

Semantic Web Technologies ◽

Tower Of Babel

The Semantic Web vision described by Berners-Lee, Hendler and Lassila (2001) represents an approach to enhancing the current World Wide Web with machine-understandable semantics. The essential idea is that Web resources identified by Uniform Resource Identifiers (URIs) can be described by metadata with the purpose of enabling automated processing. The precision of logics-based description would allow for the creation of tools that do not rely on natural language processing as current search tools, thus ideally removing the problems associated with ambiguity and implicitness in natural language. Metadata requires shared semantics in the context of an open Web, so that the proliferation of descriptions and vocabularies do not end up in a Tower of Babel. Ontologies provide the support for the shared representation of such semantics, and ontology mapping procedures could resolve the issues of semantic interoperability in case of disparate representations over the same domain. Ontologies act as descriptions of semantic domains used to express metadata records according to previously agreed definitions. Based on the infrastructure provided by ontologies and semantic metadata, the Semantic Web vision rests in the provision of distributed functionality built on intelligent agents and Web services. Since a virtual community is no other thing than a phenomenon that takes place on the Web, its elements are thus subject to being described by Semantic Web metadata, so that community-specific Semantic Web functionality could enhance the communicational elements that are part of communities. A typical scenario for such functionality is that of a filtering service that delivers recommended resources for community members according to the interests shared by members with similar interests. Other scenarios may result in the adaptation of the shared space inhabited by the community members; for example, member lists may be reordered according to the strength of social relationships, or messages could be circulated according to the network of social relationships (Sicilia & García, 2004). The Semantic Web opens many perspectives to create richer environments for virtual communities, and some specific technologies have already been created to deal with some of the definitional aspects of communities. Here we sketch the main elements that should be taken into account in developing experimental applications of Semantic Web technologies to the specifics of virtual communities.

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A semantic-based approach for querying linked data using natural language

Journal of Information Science ◽

10.1177/0165551515616311 ◽

2016 ◽

Vol 42 (6) ◽

pp. 851-862 ◽

Cited By ~ 9

Author(s):

Mario Andrés Paredes-Valverde ◽

Rafael Valencia-García ◽

Miguel Ángel Rodríguez-García ◽

Ricardo Colomo-Palacios ◽

Giner Alor-Hernández

Keyword(s):

Semantic Web ◽

Natural Language ◽

Knowledge Bases ◽

Semantic Knowledge ◽

Semantic Web Technologies ◽

Web Technologies ◽

Natural Language Interface ◽

High Quality Information ◽

Domain Independent

The semantic Web aims to provide to Web information with a well-defined meaning and make it understandable not only by humans but also by computers, thus allowing the automation, integration and reuse of high-quality information across different applications. However, current information retrieval mechanisms for semantic knowledge bases are intended to be only used by expert users. In this work, we propose a natural language interface that allows non-expert users the access to this kind of information through formulating queries in natural language. The present approach uses a domain-independent ontology model to represent the question’s structure and context. Also, this model allows determination of the answer type expected by the user based on a proposed question classification. To prove the effectiveness of our approach, we have conducted an evaluation in the music domain using LinkedBrainz, an effort to provide the MusicBrainz information as structured data on the Web by means of Semantic Web technologies. Our proposal obtained encouraging results based on the F-measure metric, ranging from 0.74 to 0.82 for a corpus of questions generated by a group of real-world end users.

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Personalizing News Services Using Semantic Web Technologies

E-Business Applications for Product Development and Competitive Growth ◽

10.4018/978-1-60960-132-4.ch013 ◽

2011 ◽

pp. 261-289 ◽

Cited By ~ 6

Author(s):

Flavius Frasincar ◽

Jethro Borsje ◽

Frederik Hogenboom

Keyword(s):

Semantic Web ◽

Knowledge Base ◽

Language Processing ◽

Word Sense Disambiguation ◽

Word Sense ◽

Semantic Web Technologies ◽

Web Technologies ◽

Web Standards ◽

Processing Techniques ◽

News Services

This chapter describes Hermes, a framework for building personalized news services using Semantic Web technologies. The Hermes framework consists of four phases: classification, which categorizes news items with respect to a domain ontology, knowledge base updating, which keeps the knowledge base up-to-date based on the news information, news querying, which allows the user to search the news with concepts of interest, and results presentation, which shows the news results of the search process. Hermes is supported by a framework implementation, the Hermes News Portal, a tool that enables users to have a personalized access to news items. The Hermes framework and its associated implementation aim at advancing the state-of-the-art of semantic approaches for personalized news services by employing Semantic Web standards, exploiting and keeping up-to-date domain information, using advanced natural language processing techniques (e.g., ontology-based gazetteering, word sense disambiguation, etc.), and supporting time-based queries for expressing the desired news items.

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Natural Language Processing Agents and Document Clustering in Knowledge Management

Handbook of Research on Global Information Technology Management in the Digital Economy ◽

10.4018/978-1-59904-875-8.ch022 ◽

2011 ◽

pp. 476-498 ◽

Cited By ~ 1

Author(s):

Steve Legrand ◽

JRG Pulido

Keyword(s):

Knowledge Management ◽

Natural Language Processing ◽

Semantic Web ◽

Natural Language ◽

Language Processing ◽

Information Presentation ◽

Processing Methods ◽

Standard Format ◽

Web Technologies ◽

The Web

While HTML provides the Web with a standard format for information presentation, XML has been made a standard for information structuring on the Web. The mission of the Semantic Web now is to provide meaning to the Web. Apart from building on the existing Web technologies, we need other tools from other areas of science to do that. This chapter shows how natural language processing methods and technologies, together with ontologies and a neural algorithm, can be used to help in the task of adding meaning to the Web, thus making the Web a better platform for knowledge management in general.

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A Framework for Automatic Web Service Discovery Based on Semantics and NLP Techniques

Advances in Multimedia ◽

10.1155/2011/238683 ◽

2011 ◽

Vol 2011 ◽

pp. 1-7 ◽

Cited By ~ 10

Author(s):

Asma Adala ◽

Nabil Tabbane ◽

Sami Tabbane

Keyword(s):

Web Services ◽

Semantic Web ◽

Natural Language ◽

Web Service ◽

Language Processing ◽

Service Discovery ◽

Semantic Web Service ◽

Semantic Web Technologies ◽

Web Service Discovery ◽

Automatic Discovery

As a greater number of Web Services are made available today, automatic discovery is recognized as an important task. To promote the automation of service discovery, different semantic languages have been created that allow describing the functionality of services in a machine interpretable form using Semantic Web technologies. The problem is that users do not have intimate knowledge about semantic Web service languages and related toolkits. In this paper, we propose a discovery framework that enables semantic Web service discovery based on keywords written in natural language. We describe a novel approach for automatic discovery of semantic Web services which employs Natural Language Processing techniques to match a user request, expressed in natural language, with a semantic Web service description. Additionally, we present an efficient semantic matching technique to compute the semantic distance between ontological concepts.

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R2D2: A Dbpedia Chatbot Using Triple-Pattern Like Queries

Algorithms ◽

10.3390/a13090217 ◽

2020 ◽

Vol 13 (9) ◽

pp. 217

Author(s):

Haridimos Kondylakis ◽

Dimitrios Tsirigotakis ◽

Giorgos Fragkiadakis ◽

Emmanouela Panteri ◽

Alexandros Papadakis ◽

...

Keyword(s):

Semantic Web ◽

Natural Language ◽

Semantic Web Technologies ◽

User Input ◽

Web Technologies ◽

Structured Input ◽

Controlled Natural Language ◽

Sparql Endpoint ◽

Natural Language Interface ◽

Available Information

Chatbots, also known as conversation agents, are programs that are able to simulate and reproduce an intelligent conversation with humans. Although this type of program is not new, the explosion of the available information and the rapid increase of the users seeking this information have renewed the interest in their development. In this paper, we present R2D2, an intelligent chatbot relying on semantic web technologies and offering an intelligent controlled natural language interface for accessing the information available in DBpedia. The chatbot accepts structured input, allowing users to enter triple-pattern like queries, which are answered by the underlying engine. While typing, an auto-complete service guides users on creating the triple patterns, suggesting resources available in the DBpedia. Based on user input (in the form of triple-pattern like queries), the corresponding SPARQL queries are automatically formulated. The queries are submitted to the corresponding DBpedia SPARQL endpoint, and then the result is received by R2D2 and augmented with maps and visuals and eventually presented to the user. The usability evaluation performed shows the advantages of our solution and its usefulness.

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Applying semantic web technologies to knowledge sharing in aerospace engineering

Journal of Intelligent Manufacturing ◽

10.1007/s10845-008-0141-1 ◽

2008 ◽

Vol 20 (5) ◽

pp. 611-623 ◽

Cited By ~ 24

Author(s):

A.-S. Dadzie ◽

R. Bhagdev ◽

A. Chakravarthy ◽

S. Chapman ◽

J. Iria ◽

...

Keyword(s):

Semantic Web ◽

Knowledge Sharing ◽

Aerospace Engineering ◽

Semantic Web Technologies ◽

Web Technologies

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Towards Verbalizing SPARQL Queries in Arabic

Engineering, Technology & Applied Science Research ◽

10.48084/etasr.630 ◽

2016 ◽

Vol 6 (2) ◽

pp. 937-944

Author(s):

I. Al Agha ◽

O. El-Radie

Keyword(s):

Semantic Web ◽

Natural Language ◽

Query Language ◽

Arabic Language ◽

Syntactic Analysis ◽

Information Need ◽

Translation Process ◽

Semantic Web Technologies ◽

Web Technologies ◽

Different Characteristics

With the wide spread of Open Linked Data and Semantic Web technologies, a larger amount of data has been published on the Web in the RDF and OWL formats. This data can be queried using SPARQL, the Semantic Web Query Language. SPARQL cannot be understood by ordinary users and is not directly accessible to humans, and thus they will not be able to check whether the retrieved answers truly correspond to the intended information need. Driven by this challenge, natural language generation from SPARQL data has recently attracted a considerable attention. However, most existing solutions to verbalize SPARQL in natural language focused on English and Latin-based languages. Little effort has been made on the Arabic language which has different characteristics and morphology. This work aims to particularly help Arab users to perceive SPARQL queries on the Semantic Web by translating SPARQL to Arabic. It proposes an approach that gets a SPARQL query as an input and generates a query expressed in Arabic as an output. The translation process combines both morpho-syntactic analysis and language dependencies to generate a legible and understandable Arabic query. The approach was preliminary assessed with a sample query set, and results indicated that 75% of the queries were correctly translated into Arabic.

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