Content annotation for the semantic web: an automatic web-based approach |
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Authors: | David Sánchez David Isern Miquel Millan |
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Affiliation: | 1.Departament d’Enginyeria Informàtica i Matemàtiques, Intelligent Technologies for Advanced Knowledge Acquisition Research Group (ITAKA),Universitat Rovira i Virgili,Tarragona, Catalonia,Spain |
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Abstract: | Semantic Annotation is required to add machine-readable content to natural language text. A global initiative such as the
Semantic Web directly depends on the annotation of massive amounts of textual Web resources. However, considering the amount
of those resources, a manual semantic annotation of their contents is neither feasible nor scalable. In this paper we introduce
a methodology to partially annotate textual content of Web resources in an automatic and unsupervised way. It uses several
well-established learning techniques and heuristics to discover relevant entities in text and to associate them to classes
of an input ontology by means of linguistic patterns. It also relies on the Web information distribution to assess the degree
of semantic co-relation between entities and classes of the input domain ontology. Special efforts have been put in minimizing
the amount of Web accesses required to evaluate entities in order to ensure the scalability of the approach. A manual evaluation
has been carried out to test the methodology for several domains showing promising results. |
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