A Multiple-Domain Ontology Builder
نویسندگان
چکیده
The interpretation of a multiple-domain text corpus as a single ontology leads to misconceptions. This is because some concepts may be syntactically equal; though, they are semantically lopsided in different domains. Also, the occurrences of a domain concept in a large multipledomain corpus may not gauge correctly the concept significance. This paper tackles the mentioned problems and proposes a novel ontology builder to extract separate domain specific ontologies from such a corpus. The builder contribution is to sustain each domain specific concepts and relations to get precise answers for user questions. We extend a single ontology builder named Text2Onto to apply our thought. We fruitfully enhance it to answer, more precisely, questions on a subset of AQUAINT corpus.
منابع مشابه
Public Transport Ontology for Passenger Information Retrieval
Passenger information aims at improving the user-friendliness of public transport systems while influencing passenger route choices to satisfy transit user’s travel requirements. The integration of transit information from multiple agencies is a major challenge in implementation of multi-modal passenger information systems. The problem of information sharing is further compounded by the multi-l...
متن کاملBuilding an integrated Ontology within the SEWASIE project: the Ontology Builder tool
SEWASIE (SEmantic Webs and AgentS in Integrated Economies) (IST-2001-34825) is a research project founded by EU on action line Semantic Web (May 2002/April 2005) (http://www.sewasie.org/). The goal of the SEWASIE project is to design and implement an advanced search engine enabling intelligent access to heterogeneous data sources on the web via semantic enrichment to provide the basis of struct...
متن کاملMELIS - An Incremental Method for the Lexical Annotation of Domain Ontologies
In this paper, we present MELIS (Meaning Elicitation and Lexical Integration System), a method and a software tool for enabling an incremental process of automatic annotation of local schemas (e.g. relational database schemas, directory trees) with lexical information. The distinguishing and original feature of MELIS is its incrementality: the higher the number of schemas which are processed, t...
متن کاملQuery Architecture Expansion in Web Using Fuzzy Multi Domain Ontology
Due to the increasing web, there are many challenges to establish a general framework for data mining and retrieving structured data from the Web. Creating an ontology is a step towards solving this problem. The ontology raises the main entity and the concept of any data in data mining. In this paper, we tried to propose a method for applying the "meaning" of the search system, But the problem ...
متن کاملThe Lexicon Builder
Center for Biomedical Informatics Research, Stanford University, Stanford, CA Domain specific biomedical lexicons are extensively used by researchers for natural language processing tasks. Currently these lexicons are created manually by expert curators and there is a pressing need for automated methods to compile such lexicons. The Lexicon Builder Web service addresses this need and reduces th...
متن کامل