Matching Web Entities with Potential Actions
نویسندگان
چکیده
The creation of schema.org as the de facto vocabulary for the implementation of Semantic Annotations was the dawn of a new era for the Web by motivating the Web developers to start weaving semantics in the content, mainly, for visibility reasons in search engine results. Moving further, the new version of the vocabulary enables Web entities to self-describe the Actions with which they interact with users, agents or services. In this scope, we present our ongoing work on automatic weaving of Actions based on the existing semantic annotations of a website.
منابع مشابه
A procedure for Web Service Selection Using WS-Policy Semantic Matching
In general, Policy-based approaches play an important role in the management of web services, for instance, in the choice of semantic web service and quality of services (QoS) in particular. The present research work illustrates a procedure for the web service selection among functionality similar web services based on WS-Policy semantic matching. In this study, the procedure of WS-Policy publi...
متن کاملPresenting a method for extracting structured domain-dependent information from Farsi Web pages
Extracting structured information about entities from web texts is an important task in web mining, natural language processing, and information extraction. Information extraction is useful in many applications including search engines, question-answering systems, recommender systems, machine translation, etc. An information extraction system aims to identify the entities from the text and extr...
متن کاملCentralized Clustering Method To Increase Accuracy In Ontology Matching Systems
Ontology is the main infrastructure of the Semantic Web which provides facilities for integration, searching and sharing of information on the web. Development of ontologies as the basis of semantic web and their heterogeneities have led to the existence of ontology matching. By emerging large-scale ontologies in real domain, the ontology matching systems faced with some problem like memory con...
متن کاملQuality-aware similarity assessment for entity matching in Web data
One of the key challenges to realize automated processing of the information on the Web, which is the central goal of the Semantic Web, is related to the entity matching problem. There are a number of tools that reliably recognize named entities, such as persons, companies, geographic locations, in Web documents. The names of these extracted entities are, however, non-unique; the same name on d...
متن کاملAbstract :Evaluation of Learning-Based Approaches for Matching Web Data Entities
Evaluation of Learning-Based Approaches for Matching Web Data Entities Written by Administrator Thursday, 28 April 2011 10:56 ABSTRACT:Entity matching is a key task for data integration and especially challenging for web data. Effective entity matching typically requires the combination of several match techniques and finding suitable configuration parameters such as similarity thresholds. We i...
متن کامل