Ranking of Web Documents for Domain Specific Database
نویسندگان
چکیده
منابع مشابه
Mining Domain Specific Words from Web Documents
Web pages provide not only plain text materials for training language models but also tag information for semantics annotation. The tags could be found either explicitly in the HTML documents or implicitly through the directory hierarchy of the documents, since the directory hierarchy can be regarded as a kind of classification tree for web documents, which assigns an implicit hidden tag to eac...
متن کاملOntology learning from domain specific web documents
Ontologies play a vital role in many Web and internet related applications. However the demand on ontologies does not always meet with their availability and the manual construction of a high quality ontology is an expensive and time-consuming process. This work, presents a system for accelerating the ontology building process via semi-automatically learning a hierarchal ontology given a set of...
متن کاملHeuristic Ranking and Diversification of Web Documents
We describe the participation of the University of Amsterdam’s Intelligent Systems Lab in the web track at TREC 2009. We participated in the adhoc and diversity task. We find that spam is an important issue in the ad hoc task and that Wikipedia-based heuristic optimization approaches help to boost the retrieval performance, which is assumed to potentially reduce spam in the top ranked results. ...
متن کاملDomain Specific Named Entity Recognition (DSNER) from Web Documents
Named entity recognition is a tool, which use process natural language tasks such as, text categorization, speech translation, and document classification. The Web data promotes the idea, that more and more data can be interconnected. A step towards this goal is to bring more structured annotations to existing documents using common vocabularies or ontology. Semi-structured texts such as scient...
متن کاملAn Improved Approach to Ranking Web Documents
Ranking thousands of web documents so that they are matched in response to a user query is really a challenging task. For this purpose, search engines use different ranking mechanisms on apparently related resultant web documents to decide the order in which documents should be displayed. Existing ranking mechanisms decide on the order of a web page based on the amount and popularity of the lin...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: International Journal of Computer Applications
سال: 2016
ISSN: 0975-8887
DOI: 10.5120/ijca2016908364