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Biomedical entity extraction from unstructured web documents is an important task that needs to be performed in order to discover knowledge in the veterinary medicine domain. In general, this task can be approached by applying domain specific ontologies, but a review of the literature shows that there is no universal dictionary, or ontology for this domain. To address this issue, we manually construct...
In W3C's Rule Interchange Format (RIF), F-Logic rules have received considerable attention as a major logical rule formalism, while combinations of rules with Description Logic (DL) ontologies in RIF, let alone with F-Logic rules, are far less developed. To mend this, we first present F-Logic# knowledge bases, a framework based on the semantics of the well-investigated dl-programs, that provides a...
The following topics are dealt with: Web intelligence; World Wide Web; Web information retrieval; information filtering; ontology engineering; semantic Web; Web mining; social networks; ubiquitous intelligence; and Web agents.
Personalization, a topmost concern of modern recommendation systems (RS), is intended to predict individual motivation of a customer for this or that choice. It depends on many factors forming explicit and implicit decision context. The paper proposes RS personalization technology that focuses on ontology-based extraction of semantically interpretable context of each particular customer's decisions...
This article deals with the issue of concept learning and tries to have a game theoretic view over the process of cooperative concept learning among agents in a multi-agent system, in which an extreme sense of competition has arisen. This gives birth to a new realm labeled as ”Learning Games”. We study the cooperative view and give a novel idea to use in competitive environments based on the solution...
In recent years, there has been an explosion of publicly available RDF and OWL web pages. Typically, these pages are small, heterogeneous and prone to change frequently. In order to effectively integrate them, we propose to adapt a query reformulation algorithm and combine it with an information retrieval inspired index in order to select all sources relevant to a query. We treat each RDF document...
In this research, a new evaluation model to select adequate ontologies that fit user requirements is proposed. The model consists of selection criteria and measurements. The proposed model presents two novel features distinct from previous research models. First, it enables users to assign weights to the evaluation criteria based on assumed impacts on ontology selection. Second, it enables users to...
Collaborating agents require either prior agreement on the shared vocabularies that they use for communication, or some means of translating between their private ontologies. Thus, techniques that enable agents to build shared vocabularies allow them to share and learn new concepts, and are therefore beneficial when these concepts are required on multiple occasions. However, if this is not carried...
Documents are rich resources containing knowledge describing a specific domain. That's why their processing is a common task, which is based on the use of terminological and ontological resources. Various types of ontologies, thesauri, and a large list of resources are commonly used in the process of knowledge extraction. The modeling and reuse of these resources is intended to support knowledge management...
Intelligent agents are an advanced technology utilized in Web Intelligence. When searching information from a distributed Web environment, information is retrieved by multi-agents on the client site and fused on the broker site. The current information fusion techniques rely on cooperation of agents to provide statistics. Such techniques are computationally expensive and unrealistic in the real world...
Here is discussed how to learn a large scale of ontology from Japanese Wikipedia. The learned ontology includes the following properties: rdfs:subClassOf (IS-A relationships), rdf:type (class-instance relationships), owl:Object/DatatypeProperty (Infobox triples), rdfs:domain (property domains), and skos:altLabel (synonyms). Experimental case studies show us that the learned Japanese Wikipedia Ontology...
Rich information is scattered under Indonesian Choral Lovers (ICL) mailing list and many of its members prefer posting a query-mail to using the available search engine. A text retrieval system based on ontology is then proposed. However, considering the continual number of emails, developing an automatic ontology constructor (OC) will be the focus of the study while the retrieval system becomes an...
Most of today's business processes are complex and consist of more than one party or single step procedures. In the Web, this is reflected by the existence of billions of Web sites, which may be regarded as complex processes, and on the other side only a few thousands of publicly available WSDL files that present single services. The availability of semantic descriptions of services and processes...
In view of the need for highly distributed and federated architecture, ranking ontologies from different data sources in a specific domain have great impact on the performance of web applications. Since ontologies for a same domain usually overlap, we aim to rank ontologies based on the commonality of overlapping entities and distance between each pair of ontologies. Overlapping entities are determined...
Context-aware computing is widely accepted as a promising paradigm to enable seamless computing. Several middlewares and ontology-based models for describing context information have been developed in order to support context-aware applications. However, the context variability, which refers to the possibility to infer or interpret different context information from different perspectives, has been...
We propose a semantics-enabled layered policy architecture for the exchange and management of multiple policies created by different policy languages on the Web. This architecture consists of four layers: Unifying Logic (UNL), Policy Interchange Format (PIF), Privacy Protection/DRM (PPD), and Domain Specific Applications (DSA). A meta-Policy Interchange Format (meta-PIF) layer is also introduced,...
The widespread use of ontologies to associate semantics with data has resulted in a growing interest in the problem of learning predictive models from data sources that use different ontologies to model the same underlying domain (world of interest). Learning from such semantically disparate data sources involves the use of a mapping to resolve semantic disparity among the ontologies used. Often,...
Fuzzy ontologies are deemed as useful formalisms for dealing with vagueness in the Semantic Web community. Description logics (DLs) are the logical foundations of standard web ontology languages. Conjunctive queries are deemed as an expressive reasoning service for DLs. DL reasoners can be enriched by a conjunctive query service. In this study, we focus on fuzzy (threshold) conjunctive queries over...
Modeling ontology of folksonomy provides a way of learning light weight ontology's which is a hot topic investigated recently. Previous approaches for modeling ontology of folksonomy either ignores semantics (synonymy, hyponymy or polysemy) or do not simultaneously consider relationships between actors (users), concepts (tags) and instances(resources) or are based on the idea that title words are...
This paper describes an NLP-based Chinese ontology construction platform developed by the authors. The construction platform is developed based on the open source project Protégé. The paper mainly focuses on two key technologies of automatic construction of ontology-the extraction of attribute value and the automatic generation of ontology hierarchy structure. The paper then introduces how the automatic...
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